Send a spec. Get the dataset, with every value traced to the response it came from.
| Company | Issued | Office | Subject |
|---|---|---|---|
- From
- fda.gov's own data, the response its public page loads
- Captured
- 3 Nov 2026, 15:26:00 UTC
- Sealed
- the moment it was captured389f7792…53ea14
data.1 { "0": "<time datetime=\"2026-11-03T05:00:00Z\">11/…", "1": "<time datetime=\"2026-07-29T04:00:00Z\">07/…", "2": "…>La Cabana Food Distributing, Inc.</a>", "3": "Human Foods Program", "4": "CGMP/Hazard Analysis/Risk-Based Preventive …",}
From a spec to a proven dataset
Write the spec the way you'd brief a freelancer: the site, the columns, a few sample rows. Upload a PDF, paste text, or say it out loud.
- 1 · Source
Finds the site's data feed
Muse Wonder opens the site, watches what it loads, and finds the feed behind the page.
- 2 · Extract
Writes the extraction and tests it
Muse Spark writes the code and checks it against your sample rows before anything runs.
- 3 · Deliver
Runs on Apify
You approve the plan, the time and the cost. Rows land in your dataset as they're found.
- 4 · Verified
Proves every value
Every value links to the response it came from, sealed the moment it was captured.
Delivered in full
Real jobs on public sources. Open any of them to check the receipts yourself.
Data you can stand behind
Reads the data feed, not the page
Most sites load their data from a feed. Dapi reads that feed: faster, steadier, and in the site's own words.
Receipts, not logs
Open any value to see the exact response it came from, when it was captured, and its SHA-256 seal.
Counted, never quietly short
Rows are counted against the source's own total. Anything missing is named, with the reason.
Your samples guide, the site decides
When a sample disagrees with the site, you see both, and Dapi delivers what the site shows.
Have a spec? See it run.
Dapi shows you the plan, the time and the cost before anything runs.