README.rst 2.2 KB

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  1. ========
  2. Twhatter
  3. ========
  4. A simple scraper for Twitter
  5. Installation
  6. ------------
  7. ..highlight: shell
  8. $ pip install --user -e git+https://code.theenglishway.eu/theenglishway-corp/twhatter
  9. Use
  10. ---
  11. Display some user's tweets
  12. ..highlight: shell
  13. $ twhatter timeline realDonaldTrump --limit 10
  14. <TweetTextOnly (id=1083404900862545920, date=2019-01-10 16:47:11, likes=32033, likes=11087, likes=6935)>
  15. <TweetTextOnly (id=1083358775925460992, date=2019-01-10 13:43:54, likes=96565, likes=22596, likes=26802)>
  16. <TweetTextOnly (id=1083358611315789826, date=2019-01-10 13:43:15, likes=52849, likes=9344, likes=9571)>
  17. <TweetTextOnly (id=1083358150214979585, date=2019-01-10 13:41:25, likes=48808, likes=11096, likes=11499)>
  18. <TweetTextOnly (id=1083356326833602561, date=2019-01-10 13:34:10, likes=50695, likes=11743, likes=11045)>
  19. <TweetTextOnly (id=1083353895030702080, date=2019-01-10 13:24:30, likes=85184, likes=19686, likes=27751)>
  20. <TweetRetweet (id=1083121283645272064, date=2019-01-09 22:00:12, likes=42640, likes=13189, likes=10242)>
  21. <TweetRetweet (id=1082774275390693376, date=2019-01-08 23:01:18, likes=52776, likes=14459, likes=2403)>
  22. <TweetRetweet (id=1083049664021233664, date=2019-01-09 17:15:36, likes=64770, likes=21099, likes=7818)>
  23. <TweetRetweet (id=1083148367184781312, date=2019-01-09 23:47:49, likes=75514, likes=21966, likes=6145)>
  24. Display their profile information
  25. ..highlight: shell
  26. $ twhatter profile realDonaldTrump
  27. User(id=25073877, screen_name='Donald J. Trump', join_date=datetime.datetime(2009, 3, 18, 0, 0), tweets_nb=40183, following_nb=45, followers_nb=57144827, likes_nb=7)
  28. Put them into a local database (by default in /tmp/db.sqlite)
  29. ..highlight: shell
  30. $ twhatter db timeline realDonaldTrump
  31. Open a session on the local database and make queries with SQLAlchemy
  32. ..highlight: shell
  33. $ twhatter db shell
  34. ..highlight: python
  35. In [1]: session.query(Tweet).all()
  36. Out[1]:
  37. [<Tweet (id=1020561192849412096),
  38. <Tweet (id=1021305708908818433),
  39. <Tweet (id=1024699386528505856),
  40. <Tweet (id=1026373195790802949),
  41. <Tweet (id=1026482814164844544),
  42. <Tweet (id=1027797734613504001)]