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FDA Drug Adverse Events Scraper - FAERS Reports

Try for free

Search public FDA adverse-event reports by drug and export reactions, seriousness flags, implicated products, dates, and provenance without reporter identifiers.

Pricing

from $2.00 / 1,000 results

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0.0

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Thirdwatch

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9 hours ago

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FDA Drug Adverse Events Scraper

Export structured public FDA FAERS public adverse-event reports for discovery, comparison, monitoring, and governance.

What you get

Search the public FDA FAERS catalog and save one deduplicated row per public adverse-event report. Results include report identity, dates, countries, seriousness flags, reaction terms, implicated products, indications, routes, and FDA provenance. Use discovery inputs for market maps and exact-name inputs, when available, for stable monitoring cohorts.

Output fields

Field group	Description
Identity	Canonical `safetyReportId`, display name, and source URL.
Time evidence	Effective, filing, award, report, or catalog dates when published by the source.
Measures and status	Public amounts, counts, scores, or status evidence available from the source.
Ownership and links	Public organization, agency, product, committee, artist, or source references.
Classification	Public tags, categories, keywords, packaging, or status values.
Provenance	Search query and named upstream source for traceable analysis.

Example output

{"safetyReportId":"12345678","receivedDate":"20260701","serious":true,"reactions":[{"term":"Rash","outcome":"6"}],"drugs":[{"name":"ASPIRIN","characterization":"1"}],"source":"FDA Adverse Event Reporting System via openFDA"}

Input parameters

Parameter	Required	Description
`drugNames`	Yes	Up to ten brand or generic medicinal-product names.
`receivedDateFrom`	No	Inclusive YYYY-MM-DD lower bound.
`receivedDateTo`	No	Inclusive YYYY-MM-DD upper bound.
`seriousOnly`	No	Restrict output to reports encoded as serious.
`maxResultsPerQuery`	Yes	Maximum reports per drug.
`maxResults`	Yes	Maximum unique reports saved.

At least one discovery or exact-name input is required. Result limits apply after cross-input deduplication, and only saved unique rows are charged.

Use cases

Developers: discover alternatives and compare public release evidence.
Platform teams: monitor versions, tags, compatibility, and activity for a fixed portfolio.
Security teams: build an evidence inventory before joining vulnerability and deployment data.
Product researchers: map a developer ecosystem with repeatable queries and dated snapshots.

Limitations

FAERS reports are unverified safety reports, not proof that a product caused an event. The Actor excludes reporter, sender, company-case, patient-demographic, and narrative fields and must not be used for medical decisions.

Compared to alternatives

Current Apify Store alternatives include maydit/us-fda-adverse-events-scraper and automation-lab/fda-maude-adverse-events-scraper. Thirdwatch combines discovery and bounded monitoring inputs where the source permits them, saves canonical evidence URLs, deduplicates before charging, provides exactly four PPE tiers, and ships ten ready-to-save Task recipes plus a five-article workflow library. Compare current Store listings directly because competitor features and pricing can change.

FAQ

Does this Actor access private packages or accounts?

No. It collects only metadata available from the public source and does not sign in, bypass access controls, or request private registry credentials.

How should I monitor a fixed portfolio?

Use exact names where supported, keep result limits explicit, save the input as an Apify Task, and retain dated datasets. Do not let an empty or failed run overwrite the previous successful snapshot.

Does a public record prove the final conclusion?

No. Public-source records are evidence for analysis, not the analysis itself. Keep provenance, apply documented rules separately, and require qualified review for high-stakes decisions.

Where can I find more workflows?

Visit Thirdwatch public-data scrapers and other Thirdwatch Actors, including GitHub, npm, and OSV Actors.

Last verified: 2026-07

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