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automate excel file generation of GSoC 2018 organizations data for better readability #181

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15 changes: 15 additions & 0 deletions Automation/src/GSoC-Organizations-Data/README.md
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# GSoC 2018 Organizations Data
## What this script does
This python script retrieves all the organizations names, the technologies they use for their open source projects, topic categories and topic names given in this
[page](https://summerofcode.withgoogle.com/archive/2018/organizations/) and converts it into a nice excel file.

## Libraries Used
#### Selenium
#### XlsxWriter

## Instructions
Run the following command in your terminal
```python
python scraper.py
```

4 changes: 4 additions & 0 deletions Automation/src/GSoC-Organizations-Data/requirements.txt
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pkg-resources==0.0.0
selenium==3.141.0
urllib3==1.25.3
XlsxWriter==1.1.8
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53 changes: 53 additions & 0 deletions Automation/src/GSoC-Organizations-Data/scraper.py
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from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.common.exceptions import TimeoutException
import time
import xlsxwriter

browser = webdriver.Firefox()
url="https://summerofcode.withgoogle.com/organizations/?sp-page=5"
browser.get(url)

delay = 5

try:
elms = WebDriverWait(browser, delay).until(EC.presence_of_element_located((By.CLASS_NAME, 'organization-card__container')))
print("Page is ready!")
html=browser.page_source
workbook = xlsxwriter.Workbook('results.xlsx')
worksheet = workbook.add_worksheet()
row = 1
col = 0
bold = workbook.add_format({'bold': True})
worksheet.set_column(0, 2, 70)
worksheet.set_column(3, 3, 150)
worksheet.write(0, 0, 'ORGANISATION NAME', bold)
worksheet.write(0, 1, 'TECHNOLOGIES', bold)
worksheet.write(0, 2, 'TOPIC CATEGORY', bold)
worksheet.write(0, 3, 'TOPIC NAMES', bold)

orgs = browser.find_elements_by_class_name('organization-card__container')
for org in orgs:
org.click()
elms = WebDriverWait(browser, delay).until(EC.presence_of_element_located((By.CLASS_NAME, 'organization__tag--topic')))
org_name = browser.find_element_by_class_name('organization-card__title').text
worksheet.write(row, col, org_name)
tech_tags = browser.find_elements_by_class_name('organization__tag--technology')
tags_text = ''
for tag in tech_tags:
tags_text += tag.text + ','
worksheet.write(row, col+1, tags_text)
topic_cat = browser.find_element_by_class_name('organization__tag--category').text
worksheet.write(row, col+2, topic_cat)
topics = browser.find_elements_by_class_name('organization__tag--topic')
topics_text =''
for topic in topics:
topics_text += topic.text + ','
worksheet.write(row, col+3, topics_text)
row += 1
workbook.close()

except TimeoutException:
print("Loading took too much time!")