Estimate and Access Historical Twitter Data
Unfortunately, the Sifter service and website has been decommissioned as of September 30, 2018. Thanks to our 6,970 users who created 16,128 free estimates from the complete, undeleted history of Twitter between 1/14/2014 and 9/29/2018.
Please contact Twitter for approval of future academic or commercial use cases. If you can get an approved use case from Twitter, we can still help you work with the data inside DiscoverText.
@DiscoverText remains open and is still the top-ranked text analysis platform on the Internet.
All paid jobs prior to the decommisioning will still be honored.
The application "Sifter" provides search and retrieve access to every undeleted Tweet in the history of Twitter. Powered by Gnip.com, users can submit "Gnip Historical PowerTrack" estimate requests using a variety of query rules. When the query is done, sifter generates an email estimating the approximate number of tweets ("activities") that are responsive to the query and the cost to execute the data retrieval.
Once the Twitter data is licensed by Texifter, we store the Twitter data in a free trial Enterprise DiscoverText account where you can perform duplicate detection and advanced text analytics. Search, filter, cluster, human code, and machine classify the data.
Any Sifter purchase includes 14 days of Enterprise DiscoverText access. This enables up to three users to collaborate on the dataset. If you spend more than $500, we will provide the software free for 30 days for up to five users. All purchases over $1500 come with 60 days of gratis access to the full suite of DiscoverText tool for up to 10 users. No refunds are allowed. Please see the Sifter Terms of Service.
In particular, please read this FAQ answer (http://bit.ly/1U2Owqn) that explains the limits for data downloads set under Twitter's Terms of Service. User accounts cannot download more than 50,000 Tweets per day.
This purchase covers access to the data in DiscoverText. Texifter, LLC is the data licensee. Twitter retains ownership of the data.
The Sifter application is designed and supported by Texifter. For more information, please contact email@example.com.