SERPanalyser_RapidAPI_Gversion.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Image of Yaktocat](https://seeders.nl/wp-content/uploads/2020/03/seeders-logo.png)\n",
    "# SERP Analyser\n",
    "*This notebook gets SERPs for top searched keywords in Europe and anlayses the top 10 results to gain insights for important SEO ranking factors across Europe.*\n",
    "\n",
    "### We will analyse SERPS based on the following questions<br>\n",
    " - Is the domain exstension a ranking factor?<br>\n",
    " - ??"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import gspread\n",
    "from gspread_dataframe import get_as_dataframe\n",
    "from df2gspread import df2gspread as d2g\n",
    "from gspread_pandas import Spread, Client \n",
    "from oauth2client.service_account import ServiceAccountCredentials\n",
    "\n",
    "import requests as rq\n",
    "from requests import get\n",
    "from bs4 import BeautifulSoup\n",
    "import time\n",
    "from tqdm import tqdm\n",
    "import urllib\n",
    "from urllib.parse import urlparse\n",
    "\n",
    "import matplotlib.pyplot as plt \n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get the data from google spreadsheets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Authorizing.......\n",
      "Opening.......\n"
     ]
    }
   ],
   "source": [
    "scope = ['https://spreadsheets.google.com/feeds', 'https://www.googleapis.com/auth/drive']\n",
    "credentials = ServiceAccountCredentials.from_json_keyfile_name('filepath to creds', scope)\n",
    "client = gspread.authorize(credentials)\n",
    "print(\"Authorizing.......\")\n",
    "\n",
    "spreadsheet_key = 'api-key'\n",
    "print(\"Opening.......\")\n",
    "sheet = client.open(\"Zoekwoorden voor onderzoek\").sheet1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Clean the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Nederland</th>\n",
       "      <th>Duitsland</th>\n",
       "      <th>Engeland</th>\n",
       "      <th>Spanje</th>\n",
       "      <th>Italie</th>\n",
       "      <th>Frankrijk</th>\n",
       "      <th>Portugal</th>\n",
       "      <th>Belgie</th>\n",
       "      <th>Denemarken</th>\n",
       "      <th>Zweden</th>\n",
       "      <th>Polen</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Keyword</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>Keyword</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>autoverzekering</td>\n",
       "      <td>Autoversicherung</td>\n",
       "      <td>Car insurance</td>\n",
       "      <td>seguro coche</td>\n",
       "      <td>assicurazione auto</td>\n",
       "      <td>assurance auto</td>\n",
       "      <td>seguro automóvel</td>\n",
       "      <td>autoverzekering</td>\n",
       "      <td>bilforsikring</td>\n",
       "      <td>bilförsäkring</td>\n",
       "      <td>ubezpieczenie samochodu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>sneakers</td>\n",
       "      <td>Sneakers</td>\n",
       "      <td>Sneakers</td>\n",
       "      <td>Sneakers</td>\n",
       "      <td>scarpe da ginnastica</td>\n",
       "      <td>sneakers</td>\n",
       "      <td>ténis</td>\n",
       "      <td>sneakers</td>\n",
       "      <td>sneakers</td>\n",
       "      <td>sneakers</td>\n",
       "      <td>sneakers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>geld lenen</td>\n",
       "      <td>Geld leihen</td>\n",
       "      <td>Money loan</td>\n",
       "      <td>prestar dinero</td>\n",
       "      <td>prestiti</td>\n",
       "      <td>prêt</td>\n",
       "      <td>empréstimo</td>\n",
       "      <td>geld lenen</td>\n",
       "      <td>låne penge</td>\n",
       "      <td>låna pengar</td>\n",
       "      <td>pożyczka gotówkowa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Nederland         Duitsland       Engeland          Spanje  \\\n",
       "           Keyword           Keyword        Keyword         Keyword   \n",
       "0  autoverzekering  Autoversicherung  Car insurance    seguro coche   \n",
       "1         sneakers          Sneakers       Sneakers        Sneakers   \n",
       "2       geld lenen       Geld leihen     Money loan  prestar dinero   \n",
       "\n",
       "                 Italie       Frankrijk          Portugal           Belgie  \\\n",
       "                Keyword         Keyword           Keyword          Keyword   \n",
       "0    assicurazione auto  assurance auto  seguro automóvel  autoverzekering   \n",
       "1  scarpe da ginnastica        sneakers             ténis         sneakers   \n",
       "2              prestiti            prêt        empréstimo       geld lenen   \n",
       "\n",
       "      Denemarken         Zweden                    Polen  \n",
       "         Keyword        Keyword                  Keyword  \n",
       "0  bilforsikring  bilförsäkring  ubezpieczenie samochodu  \n",
       "1       sneakers       sneakers                 sneakers  \n",
       "2     låne penge    låna pengar       pożyczka gotówkowa  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = get_as_dataframe(sheet, header=[0,1])#GET ONLY ROWS POPULATED WITH DATA\n",
    "df = df[0:21]\n",
    "df = df.filter(regex='^((?!Unnamed).)*$', axis=1) #REMOVE ALL COLUMNS WHERE THE HEADER IS UNNAMED\n",
    "df = df.filter(regex='^((?!Volume).)*$', axis=1) #REMOVE ALL COLUMNS CONTAINING VAGUE SEARCH VOLUME DATA\n",
    "df = df.rename(columns=lambda x: x.strip()) #REMOVE WHITESPACE FROM COLUMN NAMES\n",
    "df.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Build Google Search function"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use Google Search API via RapidAPI, untill 600 calls per month. Should be oke with 220 calls (220 kw's)<br>\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "headers = {\n",
    "    \"x-rapidapi-key\": \"api-key\",\n",
    "    \"x-rapidapi-host\" :\"rapidapi url\"\n",
    "}\n",
    "\n",
    "def search(keyword, gl):\n",
    "    \n",
    "    query = {\n",
    "        \"q\": keyword,\n",
    "        \"gl\": gl\n",
    "    }\n",
    "    \n",
    "    resp = rq.get(\"https://rapidapi.p.rapidapi.com/api/v1/search/\" + urllib.parse.urlencode(query), headers=headers)\n",
    "    results = resp.json()\n",
    "    return results['results']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fetch top 10 results for each keyword"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# urls = [] #create list of lists so we can we have a list on the side \n",
    "# for column in df:\n",
    "#     column_urls = [] #create list of lists so we can convert this list to the subcolumn 'urls'\n",
    "#     keywords = df[column] #list of keywords per country\n",
    "    \n",
    "#     for keyword in keywords:\n",
    "        \n",
    "#         if 'Nederland' in column[0]:\n",
    "#             gl = 'NL'\n",
    "            \n",
    "#         elif 'Duitsland' in column[0]:\n",
    "#             gl = 'DE'\n",
    "            \n",
    "#         elif 'Engeland' in column[0]:\n",
    "#             gl = 'UK'\n",
    "            \n",
    "#         elif 'Spanje' in column[0]:\n",
    "#             gl = 'ES'\n",
    "            \n",
    "#         elif 'Italie' in column[0]:\n",
    "#             gl = 'IT'\n",
    "            \n",
    "#         elif 'Frankrijk' in column[0]:\n",
    "#             gl = 'FR'\n",
    "            \n",
    "#         elif 'Portugal' in column[0]:\n",
    "#             gl = 'PT'\n",
    "            \n",
    "#         elif 'Belgie' in column[0]:\n",
    "#             gl = 'BE'\n",
    "            \n",
    "#         elif 'Denemarken' in column[0]:\n",
    "#             gl = 'DK'\n",
    "            \n",
    "#         elif 'Zweden' in column[0]:\n",
    "#             gl = 'SE'\n",
    "            \n",
    "#         elif 'Polen' in column[0]:\n",
    "#             gl = 'PL'\n",
    "            \n",
    "#         temp = [] #create temporary list so results are put in a list of lists\n",
    "#         print(\"Current KW:    \", keyword)\n",
    "#         for result in search(keyword, gl):  #str(column[0])\n",
    "#             temp.append(result['link'])\n",
    "#         column_urls.append(temp)\n",
    "        \n",
    "#         df[str(column[0]),'urls'] = pd.Series(column_urls)# update dataframe with subcolumn 'urls'\n",
    "#         df = df.sort_index(axis=1) #convert back to dataframe\n",
    "#     urls.append(column_urls)\n",
    "\n",
    "# df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save DF to spreadsheet for later use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "spread = Spread(\"Zoekwoorden voor onderzoek\")\n",
    "# print(\"Uploading.......\")\n",
    "# spread.df_to_sheet(df, index=False, sheet='updated with serps')\n",
    "# print(\"Done!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get saved DF from spreadsheet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">Belgie</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Denemarken</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Duitsland</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Engeland</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Frankrijk</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Nederland</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Polen</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Portugal</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Spanje</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Zweden</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Keyword</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>urls</th>\n",
       "      <th>...</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>urls</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>autoverzekering</td>\n",
       "      <td>['https://www.verzekeringen.be/autoverzekering...</td>\n",
       "      <td>bilforsikring</td>\n",
       "      <td>['https://www.if.dk/privat/forsikringer/bilfor...</td>\n",
       "      <td>Autoversicherung</td>\n",
       "      <td>['https://www.huk.de/fahrzeuge/kfz-versicherun...</td>\n",
       "      <td>Car insurance</td>\n",
       "      <td>['https://www.moneysupermarket.com/car-insuran...</td>\n",
       "      <td>assurance auto</td>\n",
       "      <td>['https://www.maaf.fr/fr/assurance-auto', 'htt...</td>\n",
       "      <td>...</td>\n",
       "      <td>autoverzekering</td>\n",
       "      <td>['https://www.independer.nl/autoverzekering/in...</td>\n",
       "      <td>ubezpieczenie samochodu</td>\n",
       "      <td>['https://www.link4.pl/ubezpieczenie-samochodu...</td>\n",
       "      <td>seguro automóvel</td>\n",
       "      <td>['https://www.fidelidade.pt/PT/particulares/Au...</td>\n",
       "      <td>seguro coche</td>\n",
       "      <td>['https://www.rastreator.com/seguros-de-coche....</td>\n",
       "      <td>bilförsäkring</td>\n",
       "      <td>['https://www.lansforsakringar.se/privat/forsa...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>sneakers</td>\n",
       "      <td>['https://www.sneakersstores.be/', 'https://ww...</td>\n",
       "      <td>sneakers</td>\n",
       "      <td>['https://rezetstore.dk/sneakers', 'https://re...</td>\n",
       "      <td>Sneakers</td>\n",
       "      <td>['https://www.zalando.de/damenschuhe-sneaker/'...</td>\n",
       "      <td>Sneakers</td>\n",
       "      <td>['https://www.sneakersnstuff.com/en', 'https:/...</td>\n",
       "      <td>sneakers</td>\n",
       "      <td>['https://www.sneakers.fr/', 'https://www.cour...</td>\n",
       "      <td>...</td>\n",
       "      <td>sneakers</td>\n",
       "      <td>['https://www.sneakers.nl/', 'https://www.zala...</td>\n",
       "      <td>sneakers</td>\n",
       "      <td>['https://www.sneakers.pl/', 'https://www.snea...</td>\n",
       "      <td>ténis</td>\n",
       "      <td>['https://pt.wikipedia.org/wiki/T%C3%A9nis', '...</td>\n",
       "      <td>Sneakers</td>\n",
       "      <td>['https://www.snipes.es/c/shoes/sneaker', 'htt...</td>\n",
       "      <td>sneakers</td>\n",
       "      <td>['https://www.sneakerspoint.se/', 'https://www...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>geld lenen</td>\n",
       "      <td>['https://www.geldlenen.be/', 'https://www.bel...</td>\n",
       "      <td>låne penge</td>\n",
       "      <td>['https://ikanobank.dk/laan', 'https://www.mik...</td>\n",
       "      <td>Geld leihen</td>\n",
       "      <td>['https://www.smava.de/privatkredit/geld-leihe...</td>\n",
       "      <td>Money loan</td>\n",
       "      <td>['https://www.moneysupermarket.com/loans/', 'h...</td>\n",
       "      <td>prêt</td>\n",
       "      <td>['https://www.linternaute.fr/dictionnaire/fr/d...</td>\n",
       "      <td>...</td>\n",
       "      <td>geld lenen</td>\n",
       "      <td>['https://www.pricewise.nl/geld-lenen/', 'http...</td>\n",
       "      <td>pożyczka gotówkowa</td>\n",
       "      <td>['https://www.totalmoney.pl/kredyty_gotowkowe'...</td>\n",
       "      <td>empréstimo</td>\n",
       "      <td>['https://www.bancoctt.pt/o-seu-credito/credit...</td>\n",
       "      <td>prestar dinero</td>\n",
       "      <td>['https://www.mytriplea.com/blog/prestar-diner...</td>\n",
       "      <td>låna pengar</td>\n",
       "      <td>['https://www.resursbank.se/lana-pengar', 'htt...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>eten bestellen</td>\n",
       "      <td>['https://www.takeaway.com/be/Online-eten-best...</td>\n",
       "      <td>mad ud af huset</td>\n",
       "      <td>['https://gaudium.dk/mad-ud-af-huset/', 'https...</td>\n",
       "      <td>Essen bestellen</td>\n",
       "      <td>['https://www.lieferando.de/essen-bestellen-be...</td>\n",
       "      <td>Order food</td>\n",
       "      <td>['https://foodhub.co.uk/', 'https://www.uberea...</td>\n",
       "      <td>commander à manger</td>\n",
       "      <td>['https://www.01net.com/astuces/5-applications...</td>\n",
       "      <td>...</td>\n",
       "      <td>eten bestellen</td>\n",
       "      <td>['https://www.thuisbezorgd.nl/eten-bestellen',...</td>\n",
       "      <td>zamów posiłek</td>\n",
       "      <td>['http://zamowposilek.pl/', 'https://play.goog...</td>\n",
       "      <td>comida ao domicilio</td>\n",
       "      <td>['https://www.nomenu.pt/', 'https://www.takeaw...</td>\n",
       "      <td>pedir comida a domicilio</td>\n",
       "      <td>['https://www.just-eat.es/', 'https://www.just...</td>\n",
       "      <td>beställa mat</td>\n",
       "      <td>['https://www.foodora.se/city/stockholm', 'htt...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>hypothecaire lening</td>\n",
       "      <td>['https://www.kbc.be/particulieren/nl/product/...</td>\n",
       "      <td>realkreditlån</td>\n",
       "      <td>['https://www.totalkredit.dk/boliglan/kob-af-b...</td>\n",
       "      <td>Hypothek</td>\n",
       "      <td>['https://de.wikipedia.org/wiki/Hypothek#:~:te...</td>\n",
       "      <td>Mortage</td>\n",
       "      <td>['https://www.thefreedictionary.com/Mortage', ...</td>\n",
       "      <td>emprunt</td>\n",
       "      <td>['https://www.meilleurtaux.com/credit-immobili...</td>\n",
       "      <td>...</td>\n",
       "      <td>hypotheek</td>\n",
       "      <td>['https://www.abnamro.nl/nl/prive/hypotheken/m...</td>\n",
       "      <td>kredyt hipoteczny</td>\n",
       "      <td>['https://www.totalmoney.pl/kredyty_hipoteczne...</td>\n",
       "      <td>hipoteca</td>\n",
       "      <td>['https://www.advogadosinsolvencia.pt/mapa/hip...</td>\n",
       "      <td>Hipoteca</td>\n",
       "      <td>['https://www.evobanco.com/hipoteca/', 'https:...</td>\n",
       "      <td>bolån</td>\n",
       "      <td>['https://www.lansforsakringar.se/privat/bank/...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Belgie                                                     \\\n",
       "               Keyword                                               urls   \n",
       "0      autoverzekering  ['https://www.verzekeringen.be/autoverzekering...   \n",
       "1             sneakers  ['https://www.sneakersstores.be/', 'https://ww...   \n",
       "2           geld lenen  ['https://www.geldlenen.be/', 'https://www.bel...   \n",
       "3       eten bestellen  ['https://www.takeaway.com/be/Online-eten-best...   \n",
       "4  hypothecaire lening  ['https://www.kbc.be/particulieren/nl/product/...   \n",
       "\n",
       "        Denemarken                                                     \\\n",
       "           Keyword                                               urls   \n",
       "0    bilforsikring  ['https://www.if.dk/privat/forsikringer/bilfor...   \n",
       "1         sneakers  ['https://rezetstore.dk/sneakers', 'https://re...   \n",
       "2       låne penge  ['https://ikanobank.dk/laan', 'https://www.mik...   \n",
       "3  mad ud af huset  ['https://gaudium.dk/mad-ud-af-huset/', 'https...   \n",
       "4    realkreditlån  ['https://www.totalkredit.dk/boliglan/kob-af-b...   \n",
       "\n",
       "          Duitsland                                                     \\\n",
       "            Keyword                                               urls   \n",
       "0  Autoversicherung  ['https://www.huk.de/fahrzeuge/kfz-versicherun...   \n",
       "1          Sneakers  ['https://www.zalando.de/damenschuhe-sneaker/'...   \n",
       "2       Geld leihen  ['https://www.smava.de/privatkredit/geld-leihe...   \n",
       "3   Essen bestellen  ['https://www.lieferando.de/essen-bestellen-be...   \n",
       "4          Hypothek  ['https://de.wikipedia.org/wiki/Hypothek#:~:te...   \n",
       "\n",
       "        Engeland                                                     \\\n",
       "         Keyword                                               urls   \n",
       "0  Car insurance  ['https://www.moneysupermarket.com/car-insuran...   \n",
       "1       Sneakers  ['https://www.sneakersnstuff.com/en', 'https:/...   \n",
       "2     Money loan  ['https://www.moneysupermarket.com/loans/', 'h...   \n",
       "3     Order food  ['https://foodhub.co.uk/', 'https://www.uberea...   \n",
       "4       Mortage   ['https://www.thefreedictionary.com/Mortage', ...   \n",
       "\n",
       "            Frankrijk                                                     ...  \\\n",
       "              Keyword                                               urls  ...   \n",
       "0      assurance auto  ['https://www.maaf.fr/fr/assurance-auto', 'htt...  ...   \n",
       "1            sneakers  ['https://www.sneakers.fr/', 'https://www.cour...  ...   \n",
       "2                prêt  ['https://www.linternaute.fr/dictionnaire/fr/d...  ...   \n",
       "3  commander à manger  ['https://www.01net.com/astuces/5-applications...  ...   \n",
       "4             emprunt  ['https://www.meilleurtaux.com/credit-immobili...  ...   \n",
       "\n",
       "         Nederland                                                     \\\n",
       "           Keyword                                               urls   \n",
       "0  autoverzekering  ['https://www.independer.nl/autoverzekering/in...   \n",
       "1         sneakers  ['https://www.sneakers.nl/', 'https://www.zala...   \n",
       "2       geld lenen  ['https://www.pricewise.nl/geld-lenen/', 'http...   \n",
       "3   eten bestellen  ['https://www.thuisbezorgd.nl/eten-bestellen',...   \n",
       "4        hypotheek  ['https://www.abnamro.nl/nl/prive/hypotheken/m...   \n",
       "\n",
       "                     Polen                                                     \\\n",
       "                   Keyword                                               urls   \n",
       "0  ubezpieczenie samochodu  ['https://www.link4.pl/ubezpieczenie-samochodu...   \n",
       "1                 sneakers  ['https://www.sneakers.pl/', 'https://www.snea...   \n",
       "2       pożyczka gotówkowa  ['https://www.totalmoney.pl/kredyty_gotowkowe'...   \n",
       "3            zamów posiłek  ['http://zamowposilek.pl/', 'https://play.goog...   \n",
       "4        kredyt hipoteczny  ['https://www.totalmoney.pl/kredyty_hipoteczne...   \n",
       "\n",
       "              Portugal                                                     \\\n",
       "               Keyword                                               urls   \n",
       "0     seguro automóvel  ['https://www.fidelidade.pt/PT/particulares/Au...   \n",
       "1                ténis  ['https://pt.wikipedia.org/wiki/T%C3%A9nis', '...   \n",
       "2           empréstimo  ['https://www.bancoctt.pt/o-seu-credito/credit...   \n",
       "3  comida ao domicilio  ['https://www.nomenu.pt/', 'https://www.takeaw...   \n",
       "4             hipoteca  ['https://www.advogadosinsolvencia.pt/mapa/hip...   \n",
       "\n",
       "                     Spanje  \\\n",
       "                    Keyword   \n",
       "0              seguro coche   \n",
       "1                  Sneakers   \n",
       "2            prestar dinero   \n",
       "3  pedir comida a domicilio   \n",
       "4                  Hipoteca   \n",
       "\n",
       "                                                             Zweden  \\\n",
       "                                                urls        Keyword   \n",
       "0  ['https://www.rastreator.com/seguros-de-coche....  bilförsäkring   \n",
       "1  ['https://www.snipes.es/c/shoes/sneaker', 'htt...       sneakers   \n",
       "2  ['https://www.mytriplea.com/blog/prestar-diner...    låna pengar   \n",
       "3  ['https://www.just-eat.es/', 'https://www.just...   beställa mat   \n",
       "4  ['https://www.evobanco.com/hipoteca/', 'https:...          bolån   \n",
       "\n",
       "                                                      \n",
       "                                                urls  \n",
       "0  ['https://www.lansforsakringar.se/privat/forsa...  \n",
       "1  ['https://www.sneakerspoint.se/', 'https://www...  \n",
       "2  ['https://www.resursbank.se/lana-pengar', 'htt...  \n",
       "3  ['https://www.foodora.se/city/stockholm', 'htt...  \n",
       "4  ['https://www.lansforsakringar.se/privat/bank/...  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Get spreadsheet from here and convert to df again\n",
    "#Maybe try to progamatically find and fill the empty cells\n",
    "SERPdf = spread.sheet_to_df(index=0, header_rows=2, sheet='updated with serps')\n",
    "SERPdf.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Add column with the domains"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"3\" halign=\"left\">Belgie</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Denemarken</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Duitsland</th>\n",
       "      <th>Engeland</th>\n",
       "      <th>...</th>\n",
       "      <th>Polen</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Portugal</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Spanje</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Zweden</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Keyword</th>\n",
       "      <th>domains</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>domains</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>domains</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>...</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>domains</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>domains</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>domains</th>\n",
       "      <th>urls</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>autoverzekering</td>\n",
       "      <td>[https://www.verzekeringen.be/, https://www.in...</td>\n",
       "      <td>['https://www.verzekeringen.be/autoverzekering...</td>\n",
       "      <td>bilforsikring</td>\n",
       "      <td>[https://www.if.dk/, https://www.alka.dk/, htt...</td>\n",
       "      <td>['https://www.if.dk/privat/forsikringer/bilfor...</td>\n",
       "      <td>Autoversicherung</td>\n",
       "      <td>[https://www.huk.de/, https://www.adac.de/, ht...</td>\n",
       "      <td>['https://www.huk.de/fahrzeuge/kfz-versicherun...</td>\n",
       "      <td>Car insurance</td>\n",
       "      <td>...</td>\n",
       "      <td>['https://www.link4.pl/ubezpieczenie-samochodu...</td>\n",
       "      <td>seguro automóvel</td>\n",
       "      <td>[https://www.fidelidade.pt/, https://www.deco....</td>\n",
       "      <td>['https://www.fidelidade.pt/PT/particulares/Au...</td>\n",
       "      <td>seguro coche</td>\n",
       "      <td>[https://www.rastreator.com/, https://www.mutu...</td>\n",
       "      <td>['https://www.rastreator.com/seguros-de-coche....</td>\n",
       "      <td>bilförsäkring</td>\n",
       "      <td>[https://www.lansforsakringar.se/, https://www...</td>\n",
       "      <td>['https://www.lansforsakringar.se/privat/forsa...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>sneakers</td>\n",
       "      <td>[https://www.sneakersstores.be/, https://www.z...</td>\n",
       "      <td>['https://www.sneakersstores.be/', 'https://ww...</td>\n",
       "      <td>sneakers</td>\n",
       "      <td>[https://rezetstore.dk/, https://rezetstore.dk...</td>\n",
       "      <td>['https://rezetstore.dk/sneakers', 'https://re...</td>\n",
       "      <td>Sneakers</td>\n",
       "      <td>[https://www.zalando.de/, https://www.snipes.c...</td>\n",
       "      <td>['https://www.zalando.de/damenschuhe-sneaker/'...</td>\n",
       "      <td>Sneakers</td>\n",
       "      <td>...</td>\n",
       "      <td>['https://www.sneakers.pl/', 'https://www.snea...</td>\n",
       "      <td>ténis</td>\n",
       "      <td>[https://pt.wikipedia.org/, https://www.tenis....</td>\n",
       "      <td>['https://pt.wikipedia.org/wiki/T%C3%A9nis', '...</td>\n",
       "      <td>Sneakers</td>\n",
       "      <td>[https://www.snipes.es/, https://www.jdsports....</td>\n",
       "      <td>['https://www.snipes.es/c/shoes/sneaker', 'htt...</td>\n",
       "      <td>sneakers</td>\n",
       "      <td>[https://www.sneakerspoint.se/, https://www.za...</td>\n",
       "      <td>['https://www.sneakerspoint.se/', 'https://www...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>geld lenen</td>\n",
       "      <td>[https://www.geldlenen.be/, https://www.belfiu...</td>\n",
       "      <td>['https://www.geldlenen.be/', 'https://www.bel...</td>\n",
       "      <td>låne penge</td>\n",
       "      <td>[https://ikanobank.dk/, https://www.mikonomi.d...</td>\n",
       "      <td>['https://ikanobank.dk/laan', 'https://www.mik...</td>\n",
       "      <td>Geld leihen</td>\n",
       "      <td>[https://www.smava.de/, https://www.vergleich....</td>\n",
       "      <td>['https://www.smava.de/privatkredit/geld-leihe...</td>\n",
       "      <td>Money loan</td>\n",
       "      <td>...</td>\n",
       "      <td>['https://www.totalmoney.pl/kredyty_gotowkowe'...</td>\n",
       "      <td>empréstimo</td>\n",
       "      <td>[https://www.bancoctt.pt/, https://www.cetelem...</td>\n",
       "      <td>['https://www.bancoctt.pt/o-seu-credito/credit...</td>\n",
       "      <td>prestar dinero</td>\n",
       "      <td>[https://www.mytriplea.com/, https://www.barym...</td>\n",
       "      <td>['https://www.mytriplea.com/blog/prestar-diner...</td>\n",
       "      <td>låna pengar</td>\n",
       "      <td>[https://www.resursbank.se/, https://ikanobank...</td>\n",
       "      <td>['https://www.resursbank.se/lana-pengar', 'htt...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>eten bestellen</td>\n",
       "      <td>[https://www.takeaway.com/, https://www.takeaw...</td>\n",
       "      <td>['https://www.takeaway.com/be/Online-eten-best...</td>\n",
       "      <td>mad ud af huset</td>\n",
       "      <td>[https://gaudium.dk/, https://www.foetexudafhu...</td>\n",
       "      <td>['https://gaudium.dk/mad-ud-af-huset/', 'https...</td>\n",
       "      <td>Essen bestellen</td>\n",
       "      <td>[https://www.lieferando.de/, https://www.liefe...</td>\n",
       "      <td>['https://www.lieferando.de/essen-bestellen-be...</td>\n",
       "      <td>Order food</td>\n",
       "      <td>...</td>\n",
       "      <td>['http://zamowposilek.pl/', 'https://play.goog...</td>\n",
       "      <td>comida ao domicilio</td>\n",
       "      <td>[https://www.nomenu.pt/, https://www.takeaway....</td>\n",
       "      <td>['https://www.nomenu.pt/', 'https://www.takeaw...</td>\n",
       "      <td>pedir comida a domicilio</td>\n",
       "      <td>[https://www.just-eat.es/, https://www.just-ea...</td>\n",
       "      <td>['https://www.just-eat.es/', 'https://www.just...</td>\n",
       "      <td>beställa mat</td>\n",
       "      <td>[https://www.foodora.se/, https://www.foodora....</td>\n",
       "      <td>['https://www.foodora.se/city/stockholm', 'htt...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>hypothecaire lening</td>\n",
       "      <td>[https://www.kbc.be/, http://www.axabank.be/, ...</td>\n",
       "      <td>['https://www.kbc.be/particulieren/nl/product/...</td>\n",
       "      <td>realkreditlån</td>\n",
       "      <td>[https://www.totalkredit.dk/, https://www.rd.d...</td>\n",
       "      <td>['https://www.totalkredit.dk/boliglan/kob-af-b...</td>\n",
       "      <td>Hypothek</td>\n",
       "      <td>[https://de.wikipedia.org/, https://de.wikiped...</td>\n",
       "      <td>['https://de.wikipedia.org/wiki/Hypothek#:~:te...</td>\n",
       "      <td>Mortage</td>\n",
       "      <td>...</td>\n",
       "      <td>['https://www.totalmoney.pl/kredyty_hipoteczne...</td>\n",
       "      <td>hipoteca</td>\n",
       "      <td>[https://www.advogadosinsolvencia.pt/, https:/...</td>\n",
       "      <td>['https://www.advogadosinsolvencia.pt/mapa/hip...</td>\n",
       "      <td>Hipoteca</td>\n",
       "      <td>[https://www.evobanco.com/, https://www.rastre...</td>\n",
       "      <td>['https://www.evobanco.com/hipoteca/', 'https:...</td>\n",
       "      <td>bolån</td>\n",
       "      <td>[https://www.lansforsakringar.se/, https://www...</td>\n",
       "      <td>['https://www.lansforsakringar.se/privat/bank/...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Belgie                                                     \\\n",
       "               Keyword                                            domains   \n",
       "0      autoverzekering  [https://www.verzekeringen.be/, https://www.in...   \n",
       "1             sneakers  [https://www.sneakersstores.be/, https://www.z...   \n",
       "2           geld lenen  [https://www.geldlenen.be/, https://www.belfiu...   \n",
       "3       eten bestellen  [https://www.takeaway.com/, https://www.takeaw...   \n",
       "4  hypothecaire lening  [https://www.kbc.be/, http://www.axabank.be/, ...   \n",
       "\n",
       "                                                           Denemarken  \\\n",
       "                                                urls          Keyword   \n",
       "0  ['https://www.verzekeringen.be/autoverzekering...    bilforsikring   \n",
       "1  ['https://www.sneakersstores.be/', 'https://ww...         sneakers   \n",
       "2  ['https://www.geldlenen.be/', 'https://www.bel...       låne penge   \n",
       "3  ['https://www.takeaway.com/be/Online-eten-best...  mad ud af huset   \n",
       "4  ['https://www.kbc.be/particulieren/nl/product/...    realkreditlån   \n",
       "\n",
       "                                                      \\\n",
       "                                             domains   \n",
       "0  [https://www.if.dk/, https://www.alka.dk/, htt...   \n",
       "1  [https://rezetstore.dk/, https://rezetstore.dk...   \n",
       "2  [https://ikanobank.dk/, https://www.mikonomi.d...   \n",
       "3  [https://gaudium.dk/, https://www.foetexudafhu...   \n",
       "4  [https://www.totalkredit.dk/, https://www.rd.d...   \n",
       "\n",
       "                                                             Duitsland  \\\n",
       "                                                urls           Keyword   \n",
       "0  ['https://www.if.dk/privat/forsikringer/bilfor...  Autoversicherung   \n",
       "1  ['https://rezetstore.dk/sneakers', 'https://re...          Sneakers   \n",
       "2  ['https://ikanobank.dk/laan', 'https://www.mik...       Geld leihen   \n",
       "3  ['https://gaudium.dk/mad-ud-af-huset/', 'https...   Essen bestellen   \n",
       "4  ['https://www.totalkredit.dk/boliglan/kob-af-b...          Hypothek   \n",
       "\n",
       "                                                      \\\n",
       "                                             domains   \n",
       "0  [https://www.huk.de/, https://www.adac.de/, ht...   \n",
       "1  [https://www.zalando.de/, https://www.snipes.c...   \n",
       "2  [https://www.smava.de/, https://www.vergleich....   \n",
       "3  [https://www.lieferando.de/, https://www.liefe...   \n",
       "4  [https://de.wikipedia.org/, https://de.wikiped...   \n",
       "\n",
       "                                                           Engeland  ...  \\\n",
       "                                                urls        Keyword  ...   \n",
       "0  ['https://www.huk.de/fahrzeuge/kfz-versicherun...  Car insurance  ...   \n",
       "1  ['https://www.zalando.de/damenschuhe-sneaker/'...       Sneakers  ...   \n",
       "2  ['https://www.smava.de/privatkredit/geld-leihe...     Money loan  ...   \n",
       "3  ['https://www.lieferando.de/essen-bestellen-be...     Order food  ...   \n",
       "4  ['https://de.wikipedia.org/wiki/Hypothek#:~:te...       Mortage   ...   \n",
       "\n",
       "                                               Polen             Portugal  \\\n",
       "                                                urls              Keyword   \n",
       "0  ['https://www.link4.pl/ubezpieczenie-samochodu...     seguro automóvel   \n",
       "1  ['https://www.sneakers.pl/', 'https://www.snea...                ténis   \n",
       "2  ['https://www.totalmoney.pl/kredyty_gotowkowe'...           empréstimo   \n",
       "3  ['http://zamowposilek.pl/', 'https://play.goog...  comida ao domicilio   \n",
       "4  ['https://www.totalmoney.pl/kredyty_hipoteczne...             hipoteca   \n",
       "\n",
       "                                                      \\\n",
       "                                             domains   \n",
       "0  [https://www.fidelidade.pt/, https://www.deco....   \n",
       "1  [https://pt.wikipedia.org/, https://www.tenis....   \n",
       "2  [https://www.bancoctt.pt/, https://www.cetelem...   \n",
       "3  [https://www.nomenu.pt/, https://www.takeaway....   \n",
       "4  [https://www.advogadosinsolvencia.pt/, https:/...   \n",
       "\n",
       "                                                      \\\n",
       "                                                urls   \n",
       "0  ['https://www.fidelidade.pt/PT/particulares/Au...   \n",
       "1  ['https://pt.wikipedia.org/wiki/T%C3%A9nis', '...   \n",
       "2  ['https://www.bancoctt.pt/o-seu-credito/credit...   \n",
       "3  ['https://www.nomenu.pt/', 'https://www.takeaw...   \n",
       "4  ['https://www.advogadosinsolvencia.pt/mapa/hip...   \n",
       "\n",
       "                     Spanje  \\\n",
       "                    Keyword   \n",
       "0              seguro coche   \n",
       "1                  Sneakers   \n",
       "2            prestar dinero   \n",
       "3  pedir comida a domicilio   \n",
       "4                  Hipoteca   \n",
       "\n",
       "                                                      \\\n",
       "                                             domains   \n",
       "0  [https://www.rastreator.com/, https://www.mutu...   \n",
       "1  [https://www.snipes.es/, https://www.jdsports....   \n",
       "2  [https://www.mytriplea.com/, https://www.barym...   \n",
       "3  [https://www.just-eat.es/, https://www.just-ea...   \n",
       "4  [https://www.evobanco.com/, https://www.rastre...   \n",
       "\n",
       "                                                             Zweden  \\\n",
       "                                                urls        Keyword   \n",
       "0  ['https://www.rastreator.com/seguros-de-coche....  bilförsäkring   \n",
       "1  ['https://www.snipes.es/c/shoes/sneaker', 'htt...       sneakers   \n",
       "2  ['https://www.mytriplea.com/blog/prestar-diner...    låna pengar   \n",
       "3  ['https://www.just-eat.es/', 'https://www.just...   beställa mat   \n",
       "4  ['https://www.evobanco.com/hipoteca/', 'https:...          bolån   \n",
       "\n",
       "                                                      \\\n",
       "                                             domains   \n",
       "0  [https://www.lansforsakringar.se/, https://www...   \n",
       "1  [https://www.sneakerspoint.se/, https://www.za...   \n",
       "2  [https://www.resursbank.se/, https://ikanobank...   \n",
       "3  [https://www.foodora.se/, https://www.foodora....   \n",
       "4  [https://www.lansforsakringar.se/, https://www...   \n",
       "\n",
       "                                                      \n",
       "                                                urls  \n",
       "0  ['https://www.lansforsakringar.se/privat/forsa...  \n",
       "1  ['https://www.sneakerspoint.se/', 'https://www...  \n",
       "2  ['https://www.resursbank.se/lana-pengar', 'htt...  \n",
       "3  ['https://www.foodora.se/city/stockholm', 'htt...  \n",
       "4  ['https://www.lansforsakringar.se/privat/bank/...  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import ast #needed for string to list conversion\n",
    "\n",
    "for column in SERPdf:\n",
    "    domains = []\n",
    "    for urls in SERPdf[str(column[0]),'urls']:\n",
    "        urls = ast.literal_eval(urls) #convert string back to list of lists\n",
    "        temp = []\n",
    "        for url in urls:\n",
    "#             print(url)\n",
    "            parsed = urlparse(url)\n",
    "            domain = '{uri.scheme}://{uri.netloc}/'.format(uri=parsed)\n",
    "#             print(domain)\n",
    "            temp.append(domain)\n",
    "        domains.append(temp)\n",
    "    SERPdf[str(column[0]),'domains'] = pd.Series(domains)\n",
    "    \n",
    "SERPdf = SERPdf.sort_index(axis=1)\n",
    "SERPdf.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Add column with the Top Level Domains (TLDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"4\" halign=\"left\">Belgie</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Denemarken</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Duitsland</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Portugal</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Spanje</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Zweden</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Keyword</th>\n",
       "      <th>domains</th>\n",
       "      <th>tlds</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>domains</th>\n",
       "      <th>tlds</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>domains</th>\n",
       "      <th>...</th>\n",
       "      <th>tlds</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>domains</th>\n",
       "      <th>tlds</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>domains</th>\n",
       "      <th>tlds</th>\n",
       "      <th>urls</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>autoverzekering</td>\n",
       "      <td>[https://www.verzekeringen.be/, https://www.in...</td>\n",
       "      <td>[be/, be/, be/, be/, be/, be/, be/, be/, be/]</td>\n",
       "      <td>['https://www.verzekeringen.be/autoverzekering...</td>\n",
       "      <td>bilforsikring</td>\n",
       "      <td>[https://www.if.dk/, https://www.alka.dk/, htt...</td>\n",
       "      <td>[dk/, dk/, dk/, dk/, dk/, dk/, dk/, dk/, dk/, ...</td>\n",
       "      <td>['https://www.if.dk/privat/forsikringer/bilfor...</td>\n",
       "      <td>Autoversicherung</td>\n",
       "      <td>[https://www.huk.de/, https://www.adac.de/, ht...</td>\n",
       "      <td>...</td>\n",
       "      <td>[pt/, pt/, pt/, pt/, pt/, pt/, pt/, pt/, pt/, ...</td>\n",
       "      <td>['https://www.fidelidade.pt/PT/particulares/Au...</td>\n",
       "      <td>seguro coche</td>\n",
       "      <td>[https://www.rastreator.com/, https://www.mutu...</td>\n",
       "      <td>[com/, es/, com/, com/, es/, es/, es/, es/, com/]</td>\n",
       "      <td>['https://www.rastreator.com/seguros-de-coche....</td>\n",
       "      <td>bilförsäkring</td>\n",
       "      <td>[https://www.lansforsakringar.se/, https://www...</td>\n",
       "      <td>[se/, se/, se/, se/, se/, se/, se/, se/, se/, ...</td>\n",
       "      <td>['https://www.lansforsakringar.se/privat/forsa...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>sneakers</td>\n",
       "      <td>[https://www.sneakersstores.be/, https://www.z...</td>\n",
       "      <td>[be/, be/, be/, be/, nl/, be/, be/, nl/, be/]</td>\n",
       "      <td>['https://www.sneakersstores.be/', 'https://ww...</td>\n",
       "      <td>sneakers</td>\n",
       "      <td>[https://rezetstore.dk/, https://rezetstore.dk...</td>\n",
       "      <td>[dk/, dk/, dk/, dk/, dk/, com/, dk/, dk/, dk/,...</td>\n",
       "      <td>['https://rezetstore.dk/sneakers', 'https://re...</td>\n",
       "      <td>Sneakers</td>\n",
       "      <td>[https://www.zalando.de/, https://www.snipes.c...</td>\n",
       "      <td>...</td>\n",
       "      <td>[org/, pt/, pt/, pt/, pt/, com/, com/, pt/, pt/]</td>\n",
       "      <td>['https://pt.wikipedia.org/wiki/T%C3%A9nis', '...</td>\n",
       "      <td>Sneakers</td>\n",
       "      <td>[https://www.snipes.es/, https://www.jdsports....</td>\n",
       "      <td>[es/, es/, com/, com/, es/, es/, com/, com/, c...</td>\n",
       "      <td>['https://www.snipes.es/c/shoes/sneaker', 'htt...</td>\n",
       "      <td>sneakers</td>\n",
       "      <td>[https://www.sneakerspoint.se/, https://www.za...</td>\n",
       "      <td>[se/, se/, se/, se/, com/, com/, se/, com/, se...</td>\n",
       "      <td>['https://www.sneakerspoint.se/', 'https://www...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 44 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Belgie                                                     \\\n",
       "           Keyword                                            domains   \n",
       "0  autoverzekering  [https://www.verzekeringen.be/, https://www.in...   \n",
       "1         sneakers  [https://www.sneakersstores.be/, https://www.z...   \n",
       "\n",
       "                                                  \\\n",
       "                                            tlds   \n",
       "0  [be/, be/, be/, be/, be/, be/, be/, be/, be/]   \n",
       "1  [be/, be/, be/, be/, nl/, be/, be/, nl/, be/]   \n",
       "\n",
       "                                                         Denemarken  \\\n",
       "                                                urls        Keyword   \n",
       "0  ['https://www.verzekeringen.be/autoverzekering...  bilforsikring   \n",
       "1  ['https://www.sneakersstores.be/', 'https://ww...       sneakers   \n",
       "\n",
       "                                                      \\\n",
       "                                             domains   \n",
       "0  [https://www.if.dk/, https://www.alka.dk/, htt...   \n",
       "1  [https://rezetstore.dk/, https://rezetstore.dk...   \n",
       "\n",
       "                                                      \\\n",
       "                                                tlds   \n",
       "0  [dk/, dk/, dk/, dk/, dk/, dk/, dk/, dk/, dk/, ...   \n",
       "1  [dk/, dk/, dk/, dk/, dk/, com/, dk/, dk/, dk/,...   \n",
       "\n",
       "                                                             Duitsland  \\\n",
       "                                                urls           Keyword   \n",
       "0  ['https://www.if.dk/privat/forsikringer/bilfor...  Autoversicherung   \n",
       "1  ['https://rezetstore.dk/sneakers', 'https://re...          Sneakers   \n",
       "\n",
       "                                                      ...  \\\n",
       "                                             domains  ...   \n",
       "0  [https://www.huk.de/, https://www.adac.de/, ht...  ...   \n",
       "1  [https://www.zalando.de/, https://www.snipes.c...  ...   \n",
       "\n",
       "                                            Portugal  \\\n",
       "                                                tlds   \n",
       "0  [pt/, pt/, pt/, pt/, pt/, pt/, pt/, pt/, pt/, ...   \n",
       "1   [org/, pt/, pt/, pt/, pt/, com/, com/, pt/, pt/]   \n",
       "\n",
       "                                                            Spanje  \\\n",
       "                                                urls       Keyword   \n",
       "0  ['https://www.fidelidade.pt/PT/particulares/Au...  seguro coche   \n",
       "1  ['https://pt.wikipedia.org/wiki/T%C3%A9nis', '...      Sneakers   \n",
       "\n",
       "                                                      \\\n",
       "                                             domains   \n",
       "0  [https://www.rastreator.com/, https://www.mutu...   \n",
       "1  [https://www.snipes.es/, https://www.jdsports....   \n",
       "\n",
       "                                                      \\\n",
       "                                                tlds   \n",
       "0  [com/, es/, com/, com/, es/, es/, es/, es/, com/]   \n",
       "1  [es/, es/, com/, com/, es/, es/, com/, com/, c...   \n",
       "\n",
       "                                                             Zweden  \\\n",
       "                                                urls        Keyword   \n",
       "0  ['https://www.rastreator.com/seguros-de-coche....  bilförsäkring   \n",
       "1  ['https://www.snipes.es/c/shoes/sneaker', 'htt...       sneakers   \n",
       "\n",
       "                                                      \\\n",
       "                                             domains   \n",
       "0  [https://www.lansforsakringar.se/, https://www...   \n",
       "1  [https://www.sneakerspoint.se/, https://www.za...   \n",
       "\n",
       "                                                      \\\n",
       "                                                tlds   \n",
       "0  [se/, se/, se/, se/, se/, se/, se/, se/, se/, ...   \n",
       "1  [se/, se/, se/, se/, com/, com/, se/, com/, se...   \n",
       "\n",
       "                                                      \n",
       "                                                urls  \n",
       "0  ['https://www.lansforsakringar.se/privat/forsa...  \n",
       "1  ['https://www.sneakerspoint.se/', 'https://www...  \n",
       "\n",
       "[2 rows x 44 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Get tld's\n",
    "for column in SERPdf:    \n",
    "    tlds = []\n",
    "    for domainlist in SERPdf[str(column[0]),'domains']:\n",
    "#         print(domainlist)\n",
    "        temp = []\n",
    "        for domain in domainlist:\n",
    "            tld = domain.rpartition('.')[2]  \n",
    "            temp.append(tld)\n",
    "        tlds.append(temp)\n",
    "    SERPdf[str(column[0]), 'tlds'] = pd.Series(tlds)\n",
    "\n",
    "SERPdf = SERPdf.sort_index(axis=1)\n",
    "SERPdf.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Identify native tlds\n",
    "*We need to tell the program when a tld is native, which will make our analysis easier*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "16\n",
      "{'it/', 'pt/', 'de/', 'org/', 'nl/', 'pl/', 'net/', 'be/', 'br/', 'uk/', 'fr/', 'se/', 'dk/', 'com/', 'eu/', 'es/'}\n"
     ]
    }
   ],
   "source": [
    "natives_test = []\n",
    "for column in SERPdf:\n",
    "    for tldlist in SERPdf[str(column[0]),'tlds']:\n",
    "        for tld in tldlist[:1]: \n",
    "            natives_test.append(tld)\n",
    "natives_test = set(natives_test)            \n",
    "print(len(natives_test))\n",
    "print(natives_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11\n"
     ]
    }
   ],
   "source": [
    "natives = {'pl/', 'uk/', 'fr/', 'es/', 'dk/', 'it/', 'se/', 'de/', 'pt/','nl/', 'be/'}\n",
    "print(len(natives))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyse TLDs among all countries\n",
    "*Countries we analysed:*\n",
    " - Netherlands\n",
    " - Germany\n",
    " - Belgium\n",
    " - Portugal\n",
    " - Italy\n",
    " - France\n",
    " - Spain\n",
    " - Sweden\n",
    " - Polen\n",
    " - United Kingdom\n",
    " - Denmark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "all_tlds = []\n",
    "for column in SERPdf:\n",
    "    for tldlist in SERPdf[str(column[0]), 'tlds']:\n",
    "        for tld in tldlist:\n",
    "            all_tlds.append(tld)\n",
    "\n",
    "# print(all_tlds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "non_natives = []\n",
    "for tld in all_tlds:\n",
    "    if tld not in natives:\n",
    "        non_natives.append(tld)\n",
    "non_natives = set(non_natives)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "*As in turns out, the 'non-native' tlds are not necessarily global tlds. Some are regional, are from another country, but with the same language!*\n",
    "<br>\n",
    "<br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "org/\n",
      "vlaanderen/\n",
      "br/\n",
      "net/\n",
      "info/\n",
      "ca/\n",
      "ch/\n",
      "gov/\n",
      "nu/\n",
      "at/\n",
      "co/\n",
      "online/\n",
      "car/\n",
      "io/\n",
      "la/\n",
      "com/\n",
      "mx/\n",
      "eu/\n"
     ]
    }
   ],
   "source": [
    "for tld in non_natives:\n",
    "    print(tld)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5888\n",
      "2632\n"
     ]
    }
   ],
   "source": [
    "use_of_native = sum(1 for tld in all_tlds if tld in natives)\n",
    "use_of_non_native = sum(1 for tld in all_tlds if tld in non_natives)\n",
    "print(use_of_native)\n",
    "print(use_of_non_native)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x540 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pie chart, where the slices will be ordered and plotted counter-clockwise:\n",
    "labels = 'native', 'non-native'\n",
    "sizes = [use_of_native, use_of_non_native]\n",
    "\n",
    "fig1, ax1 = plt.subplots(figsize=(15, 7.5))\n",
    "ax1.pie(sizes, labels=labels, autopct='%1.1f%%', shadow=True, startangle=90)\n",
    "ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Belgie\n",
      "Belgie\n",
      "Belgie\n",
      "Belgie\n",
      "Denemarken\n",
      "Denemarken\n",
      "Denemarken\n",
      "Denemarken\n",
      "Duitsland\n",
      "Duitsland\n",
      "Duitsland\n",
      "Duitsland\n",
      "Engeland\n",
      "Engeland\n",
      "Engeland\n",
      "Engeland\n",
      "Frankrijk\n",
      "Frankrijk\n",
      "Frankrijk\n",
      "Frankrijk\n",
      "Italie\n",
      "Italie\n",
      "Italie\n",
      "Italie\n",
      "Nederland\n",
      "Nederland\n",
      "Nederland\n",
      "Nederland\n",
      "Polen\n",
      "Polen\n",
      "Polen\n",
      "Polen\n",
      "Portugal\n",
      "Portugal\n",
      "Portugal\n",
      "Portugal\n",
      "Spanje\n",
      "Spanje\n",
      "Spanje\n",
      "Spanje\n",
      "Zweden\n",
      "Zweden\n",
      "Zweden\n",
      "Zweden\n"
     ]
    }
   ],
   "source": [
    "for column in SERPdf:\n",
    "    print(column[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(21, 44)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SERPdf.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"4\" halign=\"left\">Belgie</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Denemarken</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Duitsland</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Portugal</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Spanje</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Zweden</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Keyword</th>\n",
       "      <th>domains</th>\n",
       "      <th>tlds</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>domains</th>\n",
       "      <th>tlds</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>domains</th>\n",
       "      <th>...</th>\n",
       "      <th>tlds</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>domains</th>\n",
       "      <th>tlds</th>\n",
       "      <th>urls</th>\n",
       "      <th>Keyword</th>\n",
       "      <th>domains</th>\n",
       "      <th>tlds</th>\n",
       "      <th>urls</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>autoverzekering</td>\n",
       "      <td>[https://www.verzekeringen.be/, https://www.in...</td>\n",
       "      <td>[be/, be/, be/, be/, be/, be/, be/, be/, be/]</td>\n",
       "      <td>['https://www.verzekeringen.be/autoverzekering...</td>\n",
       "      <td>bilforsikring</td>\n",
       "      <td>[https://www.if.dk/, https://www.alka.dk/, htt...</td>\n",
       "      <td>[dk/, dk/, dk/, dk/, dk/, dk/, dk/, dk/, dk/, ...</td>\n",
       "      <td>['https://www.if.dk/privat/forsikringer/bilfor...</td>\n",
       "      <td>Autoversicherung</td>\n",
       "      <td>[https://www.huk.de/, https://www.adac.de/, ht...</td>\n",
       "      <td>...</td>\n",
       "      <td>[pt/, pt/, pt/, pt/, pt/, pt/, pt/, pt/, pt/, ...</td>\n",
       "      <td>['https://www.fidelidade.pt/PT/particulares/Au...</td>\n",
       "      <td>seguro coche</td>\n",
       "      <td>[https://www.rastreator.com/, https://www.mutu...</td>\n",
       "      <td>[com/, es/, com/, com/, es/, es/, es/, es/, com/]</td>\n",
       "      <td>['https://www.rastreator.com/seguros-de-coche....</td>\n",
       "      <td>bilförsäkring</td>\n",
       "      <td>[https://www.lansforsakringar.se/, https://www...</td>\n",
       "      <td>[se/, se/, se/, se/, se/, se/, se/, se/, se/, ...</td>\n",
       "      <td>['https://www.lansforsakringar.se/privat/forsa...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>sneakers</td>\n",
       "      <td>[https://www.sneakersstores.be/, https://www.z...</td>\n",
       "      <td>[be/, be/, be/, be/, nl/, be/, be/, nl/, be/]</td>\n",
       "      <td>['https://www.sneakersstores.be/', 'https://ww...</td>\n",
       "      <td>sneakers</td>\n",
       "      <td>[https://rezetstore.dk/, https://rezetstore.dk...</td>\n",
       "      <td>[dk/, dk/, dk/, dk/, dk/, com/, dk/, dk/, dk/,...</td>\n",
       "      <td>['https://rezetstore.dk/sneakers', 'https://re...</td>\n",
       "      <td>Sneakers</td>\n",
       "      <td>[https://www.zalando.de/, https://www.snipes.c...</td>\n",
       "      <td>...</td>\n",
       "      <td>[org/, pt/, pt/, pt/, pt/, com/, com/, pt/, pt/]</td>\n",
       "      <td>['https://pt.wikipedia.org/wiki/T%C3%A9nis', '...</td>\n",
       "      <td>Sneakers</td>\n",
       "      <td>[https://www.snipes.es/, https://www.jdsports....</td>\n",
       "      <td>[es/, es/, com/, com/, es/, es/, com/, com/, c...</td>\n",
       "      <td>['https://www.snipes.es/c/shoes/sneaker', 'htt...</td>\n",
       "      <td>sneakers</td>\n",
       "      <td>[https://www.sneakerspoint.se/, https://www.za...</td>\n",
       "      <td>[se/, se/, se/, se/, com/, com/, se/, com/, se...</td>\n",
       "      <td>['https://www.sneakerspoint.se/', 'https://www...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>geld lenen</td>\n",
       "      <td>[https://www.geldlenen.be/, https://www.belfiu...</td>\n",
       "      <td>[be/, be/, be/, be/, be/, be/, be/, com/, be/,...</td>\n",
       "      <td>['https://www.geldlenen.be/', 'https://www.bel...</td>\n",
       "      <td>låne penge</td>\n",
       "      <td>[https://ikanobank.dk/, https://www.mikonomi.d...</td>\n",
       "      <td>[dk/, dk/, dk/, dk/, dk/, dk/, dk/, dk/, dk/, ...</td>\n",
       "      <td>['https://ikanobank.dk/laan', 'https://www.mik...</td>\n",
       "      <td>Geld leihen</td>\n",
       "      <td>[https://www.smava.de/, https://www.vergleich....</td>\n",
       "      <td>...</td>\n",
       "      <td>[pt/, pt/, org/, pt/, br/, com/, com/, pt/, br...</td>\n",
       "      <td>['https://www.bancoctt.pt/o-seu-credito/credit...</td>\n",
       "      <td>prestar dinero</td>\n",
       "      <td>[https://www.mytriplea.com/, https://www.barym...</td>\n",
       "      <td>[com/, com/, es/, es/, es/, es/, com/, com/, c...</td>\n",
       "      <td>['https://www.mytriplea.com/blog/prestar-diner...</td>\n",
       "      <td>låna pengar</td>\n",
       "      <td>[https://www.resursbank.se/, https://ikanobank...</td>\n",
       "      <td>[se/, se/, se/, se/, se/, com/, se/, se/, se/,...</td>\n",
       "      <td>['https://www.resursbank.se/lana-pengar', 'htt...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 44 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Belgie                                                     \\\n",
       "           Keyword                                            domains   \n",
       "0  autoverzekering  [https://www.verzekeringen.be/, https://www.in...   \n",
       "1         sneakers  [https://www.sneakersstores.be/, https://www.z...   \n",
       "2       geld lenen  [https://www.geldlenen.be/, https://www.belfiu...   \n",
       "\n",
       "                                                      \\\n",
       "                                                tlds   \n",
       "0      [be/, be/, be/, be/, be/, be/, be/, be/, be/]   \n",
       "1      [be/, be/, be/, be/, nl/, be/, be/, nl/, be/]   \n",
       "2  [be/, be/, be/, be/, be/, be/, be/, com/, be/,...   \n",
       "\n",
       "                                                         Denemarken  \\\n",
       "                                                urls        Keyword   \n",
       "0  ['https://www.verzekeringen.be/autoverzekering...  bilforsikring   \n",
       "1  ['https://www.sneakersstores.be/', 'https://ww...       sneakers   \n",
       "2  ['https://www.geldlenen.be/', 'https://www.bel...     låne penge   \n",
       "\n",
       "                                                      \\\n",
       "                                             domains   \n",
       "0  [https://www.if.dk/, https://www.alka.dk/, htt...   \n",
       "1  [https://rezetstore.dk/, https://rezetstore.dk...   \n",
       "2  [https://ikanobank.dk/, https://www.mikonomi.d...   \n",
       "\n",
       "                                                      \\\n",
       "                                                tlds   \n",
       "0  [dk/, dk/, dk/, dk/, dk/, dk/, dk/, dk/, dk/, ...   \n",
       "1  [dk/, dk/, dk/, dk/, dk/, com/, dk/, dk/, dk/,...   \n",
       "2  [dk/, dk/, dk/, dk/, dk/, dk/, dk/, dk/, dk/, ...   \n",
       "\n",
       "                                                             Duitsland  \\\n",
       "                                                urls           Keyword   \n",
       "0  ['https://www.if.dk/privat/forsikringer/bilfor...  Autoversicherung   \n",
       "1  ['https://rezetstore.dk/sneakers', 'https://re...          Sneakers   \n",
       "2  ['https://ikanobank.dk/laan', 'https://www.mik...       Geld leihen   \n",
       "\n",
       "                                                      ...  \\\n",
       "                                             domains  ...   \n",
       "0  [https://www.huk.de/, https://www.adac.de/, ht...  ...   \n",
       "1  [https://www.zalando.de/, https://www.snipes.c...  ...   \n",
       "2  [https://www.smava.de/, https://www.vergleich....  ...   \n",
       "\n",
       "                                            Portugal  \\\n",
       "                                                tlds   \n",
       "0  [pt/, pt/, pt/, pt/, pt/, pt/, pt/, pt/, pt/, ...   \n",
       "1   [org/, pt/, pt/, pt/, pt/, com/, com/, pt/, pt/]   \n",
       "2  [pt/, pt/, org/, pt/, br/, com/, com/, pt/, br...   \n",
       "\n",
       "                                                              Spanje  \\\n",
       "                                                urls         Keyword   \n",
       "0  ['https://www.fidelidade.pt/PT/particulares/Au...    seguro coche   \n",
       "1  ['https://pt.wikipedia.org/wiki/T%C3%A9nis', '...        Sneakers   \n",
       "2  ['https://www.bancoctt.pt/o-seu-credito/credit...  prestar dinero   \n",
       "\n",
       "                                                      \\\n",
       "                                             domains   \n",
       "0  [https://www.rastreator.com/, https://www.mutu...   \n",
       "1  [https://www.snipes.es/, https://www.jdsports....   \n",
       "2  [https://www.mytriplea.com/, https://www.barym...   \n",
       "\n",
       "                                                      \\\n",
       "                                                tlds   \n",
       "0  [com/, es/, com/, com/, es/, es/, es/, es/, com/]   \n",
       "1  [es/, es/, com/, com/, es/, es/, com/, com/, c...   \n",
       "2  [com/, com/, es/, es/, es/, es/, com/, com/, c...   \n",
       "\n",
       "                                                             Zweden  \\\n",
       "                                                urls        Keyword   \n",
       "0  ['https://www.rastreator.com/seguros-de-coche....  bilförsäkring   \n",
       "1  ['https://www.snipes.es/c/shoes/sneaker', 'htt...       sneakers   \n",
       "2  ['https://www.mytriplea.com/blog/prestar-diner...    låna pengar   \n",
       "\n",
       "                                                      \\\n",
       "                                             domains   \n",
       "0  [https://www.lansforsakringar.se/, https://www...   \n",
       "1  [https://www.sneakerspoint.se/, https://www.za...   \n",
       "2  [https://www.resursbank.se/, https://ikanobank...   \n",
       "\n",
       "                                                      \\\n",
       "                                                tlds   \n",
       "0  [se/, se/, se/, se/, se/, se/, se/, se/, se/, ...   \n",
       "1  [se/, se/, se/, se/, com/, com/, se/, com/, se...   \n",
       "2  [se/, se/, se/, se/, se/, com/, se/, se/, se/,...   \n",
       "\n",
       "                                                      \n",
       "                                                urls  \n",
       "0  ['https://www.lansforsakringar.se/privat/forsa...  \n",
       "1  ['https://www.sneakerspoint.se/', 'https://www...  \n",
       "2  ['https://www.resursbank.se/lana-pengar', 'htt...  \n",
       "\n",
       "[3 rows x 44 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SERPdf.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "parsed_countries = []\n",
    "for column in SERPdf:\n",
    "    if str(column[0]) in parsed_countries:\n",
    "        pass\n",
    "    else:\n",
    "        parsed_countries.append(str(column[0]))\n",
    "        \n",
    "        all_country_tlds = []\n",
    "        for tldlists in SERPdf[str(column[0]), 'tlds']:\n",
    "            for tld in tldlists:\n",
    "                all_country_tlds.append(tld)\n",
    "\n",
    "        all_country_tlds_df = pd.DataFrame(all_country_tlds, columns=['all_country_tlds'])\n",
    "        plt.figure(figsize=(10,8))\n",
    "        ax = sns.countplot(x='all_country_tlds', data=all_country_tlds_df)\n",
    "        total = len(all_country_tlds_df['all_country_tlds'])\n",
    "#         print(total)\n",
    "        for p in ax.patches:\n",
    "            percentage = '{:.1f}%'.format(100 * p.get_height()/total)\n",
    "            x = p.get_x() + p.get_width() + 0.02\n",
    "            y = p.get_y() + p.get_height()/2\n",
    "            ax.annotate(percentage, (x, y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}