TwitterUserMetaScraper

• Twitter scraper to obtain public user meta-data using "https://twitter.com/intent/user?user_id=" endpoint.
• Note: official API for bulk lookup is (probably) a much more efficient option!

What does it scrape?

• Screen name
• Full name
• Follower count
• Friend (following) count
• Description field
• Location field
• External link
• Verified account status
• Most recent tweets sample
• 5 follower sample
• 5 friend (following) sample

Usage

1. Install Beautiful Soup: pip install beautifulsoup4
2. Add user ids to input/ids.txt, one per line
3. Run scrape.py (or use the TwitterMetaScraper class as you wish!)

Output

• A file containing a list of user attributes represented in JSON
• See the output directory for more details

Example entry for a user:

{
  "id": "783214", 
  "full_name": "Twitter", 
  "screen_name": "twitter",
  "description": "Your official source for news, updates and tips from Twitter, Inc.", 
  "friend_count": 102, 
  "follower_count": 37002665, 
  "verified": true,
  "friend_sample": ["kellyshalk", "MagicRecs", "TwitterData", "TwitterFashion", "TwitterMovies"],
  "follower_sample": ["preciousmeh", "zai00", "azzaul", "PanCarlos", "tafr"],
  "http_status_code": 200
}