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 decommissioning will still be honored.
I have a project idea in mind that requires the collection of Twitter tweet data. Basically, there are a handful of hashtags (one in particular that was retweeted millions of times over a week’s time period) that I would like to compile and be able to organize. I'm interested in the textual historic data, clustered around pretty specific dates. Would your tools be a good fit? At this point I don't have a large budget, but can you explain how I could collect this raw Twitter data?
It sounds like an interesting project, and our tools would be a very good option for you.
To obtain a free estimate of the size and cost of the dataset, visit:
You might be interested in this FAQ that contains some tips on how to minimize the cost of obtaining historical Twitter data.
If you decide to buy access to the Twitter data, you will receive it in DiscoverText. You can find out more at:
Like you, a lot of small budget researchers pass through our system. For a list of published studies and reports that have used DiscoverText and Sifter, visit:
There is a free trial for DiscoverText that we strongly encourage you use to explore our tools and see what Twitter data looks like in our system.
You may find this video explaining Sifter helpful in order to get a general overview.