amoghds / basic_twitter_scraper_2

Basic Twitter Scraper


This is a basic twitter scraper where you can change the search terms and store it in the datastore. Feel free to fork.

Forked from ScraperWiki

Contributors amoghds

Last run completed successfully .

Console output of last run

Oh dear, failed to scrape http://search.twitter.com/search.json?q=%23opendata&rpp=100&lang=en&page=1

Data

Downloaded 1 time by MikeRalphson

To download data sign in with GitHub

Download table (as CSV) Download SQLite database (55.8 MB) Use the API

rows 10 / 216538

text id from_user created_at
first @fixmystreet fr @mysociety now @FixMyTransport http://t.co/9re4iom we need real @open311 in #seattle #opengov #opendata #transit
108990595585949696
MrDataFerret
@Gov Walker of WI can't be pleased w poor audit of state contract sunshine site http://t.co/pByo2g1 #opengov #opendata #wisconsin
108986525211037696
MrDataFerret
" #OpenData Geeks to the Rescue" http://t.co/osK0iNu > nice work by @dbhume & @data_bc team. good step 2ward gr8r #opengov #dbchack
108984924614307841
asterix
RT @chilobbyists: Official statement from Rahm's office on the release of more lobbyist data and our collaboration: http://t.co/ENpUMjY #opengov #opendata
108982291694493696
billgatewood
RT @WorldBank: Where should we take #opendata next? Tell us. Live 9/13 1800 GMT http://ow.ly/6hCvz
108980355138199552
Mitalikm
RT @WorldBank: Where should we take #opendata next? Tell us. Live 9/13 1800 GMT http://ow.ly/6hCvz
108976950365798400
abmakulec
RT @chilobbyists: Official statement from Rahm's office on the release of more lobbyist data and our collaboration: http://t.co/ENpUMjY #opengov #opendata
108976121231577088
rougeux
RT @WorldBank: Where should we take #opendata next? Tell us. Live 9/13 1800 GMT http://ow.ly/6hCvz
108976005695283200
avilarenata
RT @vinsumner: #AmsterdamSmartCity add your information http://t.co/1z5SzDI about the city , #opendata , #picnic11
108975904633524224
spolliaro
RT @worldbank: Where should we take #opendata next? Tell us. Live 9/13 1800 GMT http://t.co/h9PV2iO
108975758717886464
MGPSI

Statistics

Average successful run time: less than 5 seconds

Total run time: less than 10 seconds

Total cpu time used: less than 5 seconds

Total disk space used: 55.8 MB

History

  • Manually ran revision b680e2bd and completed successfully .
    nothing changed in the database
  • Manually ran revision b680e2bd and completed successfully .
    nothing changed in the database
  • Manually ran revision b680e2bd and completed successfully .
    nothing changed in the database
  • Forked from ScraperWiki

Scraper code

Python

basic_twitter_scraper_2 / scraper.py