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FSA_Photo_1_JSON_Write.py
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FSA_Photo_1_JSON_Write.py
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# This python script uses web scraping techniques to capture metadata and images of photos taken in New Orleans
# by the United States Farm's Security Administration and Office of War Information (FSA-OWI) hosted by Yale's
# Photogrammar.
from bs4 import BeautifulSoup
import requests
import re
import json
all_my_data = []
for pages in range(0,5):
url = f"http://photogrammar.yale.edu/search/results.php?start={pages*60}&search=%22New+Orleans%22&pname=&lot=&van=&state=&county=&city=&year_start=1935&month_start=0&year_stop=1945&month_stop=12"
results_page = requests.get(url)
results_page_html = results_page.text
soup = BeautifulSoup(results_page_html, "html.parser")
items = soup.find_all("div", attrs = {'class':'results-image'})
for item in items:
my_data = {
"Item URL": None,
"Caption": None,
"Photographer": None,
"Created": None,
"Location": None,
# "Call Number (Library of Congress)": None,
"Image URL": None,
"LOC URL": None,
"LOC Call Number": None,
}
print('------------')
item_link = item.find('a')
abs_url = "http://photogrammar.yale.edu/" + item_link['href']
my_data['Item URL'] = abs_url
# print(abs_url)
item_request = requests.get(abs_url)
item_html = item_request.text
item_soup = BeautifulSoup(item_html, "html.parser")
all_field_divs = item_soup.find_all("div", attrs={'id':'record-meta'})
for field in all_field_divs:
#get 'Caption' field and assign it to dictionary
caption = field.find('span', attrs = {'class': 'record-text'})
caption = caption.text
my_data['Caption'] = caption
# print(caption)
#get 'Photographer' field and assign it to dictionary
photographer = field.find('a', attrs = {'class': 'record-text'})
photographer = photographer.text
my_data['Photographer'] = photographer
# print(photographer)
#get 'Created' field and assign it to dictionary
#use regex to remove unwanted text
date = field.find('div', attrs = {'id': 'record-created'})
date = date.text
date_short = re.sub(r'Created',"", date)
my_data['Created'] = date_short
# print(date_short)
#get 'Location' field and assign it to dictionary
#use regex to remove unwanted text
location = field.find('div', attrs = {'id': 'record-notes'})
location = location.text
location_short = re.sub(r'Location',"", location)
my_data['Location'] = location_short
# print(location_short)
# # Commented out bc Photogrammar does not use full LOC call number
# call_number = field.find('div', attrs = {'id': 'record-digitalid'})
# call_number = call_number.text
# call_number_short = re.sub(r'Call Number', "", call_number)
# call_number_shorter = re.sub(r' \(Library of Congress\)', "", call_number_short)
# my_data['Call Number (Library of Congress)'] = call_number_shorter
# print(call_number_shorter)
all_photo_urls = item_soup.find_all("div", attrs={'id': 'record-image'})
for photo_url in all_photo_urls:
photo = photo_url.find('a')
photo_abs_url = "http://photogrammar.yale.edu/" + photo['href']
my_data['Image URL'] = photo_abs_url
# print(photo_abs_url)
all_loc_links = item_soup.find_all("div", attrs={'id': 'record-digitalid'})
for loc_link in all_loc_links:
link = loc_link.find('a')
loc_abs_url = link['href']
my_data['LOC URL'] = loc_abs_url
# print(loc_abs_url)
#get call number from LOC website
loc_item_request = requests.get(loc_abs_url)
loc_item_html = loc_item_request.text
item_soup = BeautifulSoup(loc_item_html, "html.parser")
all_bib = item_soup.find_all("div", attrs={'id':'onsite'})
# print(all_bib)
for loc_call_number in all_bib:
loc = loc_call_number.find('span')
loc = loc.text
loc = loc.split(' [')[0]
my_data['LOC Call Number'] = loc
# print(loc)
all_my_data.append(my_data)
# print(all_my_data)
with open('FSA_Photo_Collection.json', 'w') as file_object:
json.dump(all_my_data, file_object, indent=2)
print('Your file is now ready')