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Info: Academic Track Benefits
Matthew R. DeVerna edited this page Feb 16, 2021
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1 revision
Twitter's V2 API has different "product tracks" which allow different levels of access. The new "Academic Research" product track allows researchers an increased level of access to data in a number of areas.
The below information is taken from a Twitter Community forum post by Suhem Parack (Twitter, Developer Relations).
When using the full-archive search endpoint, you can specify the dates for historical Tweets using the start_time
and end_time
parameters.
Limits:
- 300 requests per 15-minute window (app auth)
- 1 request per second (app auth)
- Up to 500 tweets per query (set with the
max_results
parameter - default = 10)
Twitter's Guides:
Note: this Tweet cap currently applies to the following endpoints:
- Recent search
- Filtered stream
- Full-archive search
- User Tweet and mentions timelines
There are certain filtering operators that are only available in the Academic Research product track, as they are intended to help researchers return more precise data. These operators include:
-
$
(aka cashtag) bio
bio_name
bio_location
place
place_country
point_radius
bounding_box
-is:nullcast
has:cashtags
has:geo
- Academic product track --> can add 1,000 concurrent rules when using the filtered stream endpoint, and each rule can be 1,024
- Standard product track --> limited to to 25 concurrent rules and each rule can be 512 characters long
- Academic product track --> query in the recent search endpoint can be 1024 characters long
- Standard track --> query is limited to 512 characters