Academic Research
A sampling frame you can define once and re-run for a year.
A study is only as good as the thing it can repeat. Defining the frame — these subreddits, this hashtag, this location — and reading it on a fixed cadence gives you observations that are comparable because the collection method did not change between them. Supported responses use a consistent ActivityStreams 2.0-based model, so shared concepts remain documented even when platform-specific fields differ.
Build it into a product.
Read a fixed set of communities, hashtags, and locations on a set cadence, so every observation in the series was collected the same way.
Supported responses use a consistent ActivityStreams 2.0-based model. Shared concepts map to consistent fields, while platform-specific capabilities remain documented. Standard calls use one credit; batch endpoints charge one credit per submitted ID. Failed and timed-out requests are automatically refunded.
What this covers.
Public data only. Supported endpoints return what the platform serves publicly, and reaching it never depends on a connected account — so private analytics for accounts you own are outside what this can answer.
- Collect a longitudinal corpus from a defined set of communities
- Sample a hashtag on a fixed schedule rather than opportunistically
- Keep the collection method identical across a study period
- Document the exact endpoints and parameters a dataset came from
Try it with your own accounts.
Get a free API key and make the first call. 100 credits, every platform, both interfaces, no credit card.