FDA Recall & Enforcement Monitor
Pricing
Pay per usage
FDA Recall & Enforcement Monitor
Monitor FDA drug, device, and food enforcement recall reports by product, firm, reason, class, and date window.
Pricing
Pay per usage
Rating
0.0
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Developer
Noetic Data
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
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Monitor FDA drug, device, and food enforcement recall reports by product, firm, reason, class, and date window.
This Actor uses public structured data from openFDA. It normalizes source-specific records into a consistent Apify dataset for monitoring, lead generation, research, and scheduled automation.
Who It Helps
Compliance teams, ecommerce operators, product safety analysts, legal teams, and researchers.
Input
{"searchTerms": ["software","battery"],"maxItems": 25,"includeRaw": false}
Fields
searchTerms- Required. One or more keywords or phrases to match.regions- Optional. Source-specific region filters.dateFrom- Optional. ISO date inYYYY-MM-DD. Defaults to 30 days before the run.dateTo- Optional. ISO date inYYYY-MM-DD.maxItems- Optional. Defaults to100; capped at1000.includeRaw- Optional. Include the raw source payload inextra.raw.productTypes- Optional. openFDA enforcement product types:drug,device, andfood.
Output
Each dataset item includes stable top-level fields:
{"id": "source-id","title": "Record title","description": "Short source summary","sourceName": "openFDA","sourceUrl": "https://example.gov/detail","publishedAt": "2026-07-06T00:00:00.000Z","location": "Best available location","category": "Best available category","value": null,"contactUrl": "https://example.gov/detail","scrapedAt": "2026-07-06T05:00:00.000Z","extra": {"matchedSearchTerms": ["software"]}}
Source-specific fields are kept under extra so downstream automations can rely on the stable top-level schema.
Notes
This Actor does not bypass logins, CAPTCHAs, paywalls, or access controls. It is built for public-data monitoring and exports only records returned by the source service.
Monetization
Launch pricing is pay per result using apify-default-dataset-item: USD 3.00 per 1,000 normalized records, plus a tiny Actor-start event. The implementation uses public APIs and no browser automation to keep platform cost low.