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Scrape members from a Twitter list and then get their bios, locations, etc.
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| #!/usr/bin/env python | |
| # encoding: utf-8 | |
| """ | |
| python 2.x | |
| Scrape members from a Twitter list and then get their bios, locations, etc. | |
| Based on | |
| https://github.com/lamthuyvo/social-media-data-scripts/blob/master/scripts/twitter_bio_info_compiler.py | |
| and | |
| https://github.com/kylemanna/social-utils/blob/master/twitter/list-follow.py | |
| """ | |
| import tweepy # https://github.com/tweepy/tweepy | |
| import csv | |
| # import authentication credentials | |
| from secrets import TWITTER_C_KEY, TWITTER_C_SECRET, TWITTER_A_KEY, TWITTER_A_SECRET | |
| #authorize twitter, initialize tweepy | |
| auth = tweepy.OAuthHandler(TWITTER_C_KEY, TWITTER_C_SECRET) | |
| auth.set_access_token(TWITTER_A_KEY, TWITTER_A_SECRET) | |
| api = tweepy.API(auth) | |
| # which Twitter list and who owns it | |
| slug = 'florida-legislators' | |
| owner = 'JordanRaynor' | |
| def get_list_members(api, owner, slug): | |
| members = [] | |
| # without this you only get the first 20 list members | |
| for page in tweepy.Cursor(api.list_members, owner, slug).items(): | |
| members.append(page) | |
| # create a list containing all usernames | |
| return [ m.screen_name for m in members ] | |
| # create new CSV file and add column headings | |
| def create_csv(filename, usernames): | |
| csvfile = open(filename, 'w') | |
| c = csv.writer(csvfile) | |
| # write the header row for CSV file | |
| c.writerow( [ "name", | |
| "display_name", | |
| "bio", | |
| "followers_count", | |
| "following_count", | |
| "acct_created", | |
| "location" ] ) | |
| # add each member to the csv | |
| for name in usernames: | |
| user_info = get_userinfo(name) | |
| c.writerow( user_info ) | |
| # close and save the CSV | |
| csvfile.close() | |
| def get_userinfo(name): | |
| # get all user data via a Tweepy API call | |
| user = api.get_user(screen_name = name) | |
| # create row data as a list | |
| user_info = [ name.encode('utf-8'), | |
| user.name.encode('utf-8'), | |
| user.description.encode('utf-8'), | |
| user.followers_count, | |
| user.friends_count, | |
| user.created_at, | |
| user.location.encode('utf-8') ] | |
| # send that one row back | |
| return user_info | |
| def main(): | |
| # provide name for new CSV | |
| filename = "userinfo.csv" | |
| # create list of all members of the Twitter list | |
| usernames = get_list_members(api, owner, slug) | |
| # create new CSV and fill it | |
| create_csv(filename, usernames) | |
| # tell us how many we got | |
| print "Number of rows should be %d, plus the header row." % len(usernames) | |
| if __name__ == '__main__': | |
| main() |
I imagine you'll have to iterate through your list and call sequence of functions on each item.
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This is only returning one member of a list despite there being 300 or so in the list that I am trying to scrape