pixelherd / twitter_search


This makes scraping twitter for multiple search terms a piece of cake.

Just start a new Python scraper, and type this at the top:

from scraperwiki import swimport swimport('twitter_search').search(['some_phrase', 'from:some_user'])

Set your scraper to run daily and it’ll automatically fill its datastore with the latest tweets.

Forked from ScraperWiki

Last run completed successfully .

Console output of last run


Average successful run time: less than 5 seconds

Total run time: less than 5 seconds

Total cpu time used: less than 5 seconds

Total disk space used: 19.7 KB


  • Manually ran revision af392c08 and completed successfully .
    nothing changed in the database
  • Forked from ScraperWiki

Scraper code


twitter_search / scraper.py