cyp1991 / twitter_scrape

Twitter Scraper Library

This library scrapes twitter efficient by using max_id and since_id instead of using the old pages. For user timeline it scrapes 3200 tweets.

You only need two lines of code to scrape a user timeline:

from scraperwiki import swimport swimport('twitter_scrape').user_timeline(<username>[,<verbose>])

You can also use this library to scrape the statuses of a list, but this will only scrape around 2 months of history (?):


Forked from ScraperWiki

Last run completed successfully .

Console output of last run

Injecting configuration and compiling... Injecting scraper and running...


Average successful run time: 1 minute

Total run time: 1 minute

Total cpu time used: less than 5 seconds

Total disk space used: 25.2 KB


  • Manually ran revision 01f451b6 and completed successfully .
    nothing changed in the database
  • Forked from ScraperWiki

Scraper code


twitter_scrape /