FDA Drug Labels Scraper

Export structured public FDA drug labeling public SPL label records for discovery, comparison, monitoring, and governance.

What you get

Search the public FDA drug labeling catalog and save one deduplicated row per public SPL label record. Results include SPL identity, version, effective date, product names, manufacturers, substances, routes, dosage forms, NDCs, indications, warnings, adverse reactions, dosage, and provenance. Use discovery inputs for market maps and exact-name inputs, when available, for stable monitoring cohorts.

Output fields

Field group	Description
Identity	Canonical setId, 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

{"setId":"example-set-id","effectiveTime":"20260701","brandNames":["Aspirin"],"genericNames":["ASPIRIN"],"routes":["ORAL"],"warnings":"Stomach bleeding warning...","source":"FDA Structured Product Labeling via openFDA"}

Input parameters

Parameter	Required	Description
drugNames	No	Up to ten brand-name searches.
setIds	No	Up to 25 exact SPL set IDs.
maxResultsPerQuery	Yes	Maximum labels per name.
maxResults	Yes	Maximum unique labels 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

Labels reflect submissions reformatted by openFDA and may not match currently distributed or approved labeling. Text sections are bounded, optional sections remain null, and the output is not medical advice.

Compared to alternatives

Current Apify Store alternatives include automation-lab/fda-drug-labels-scraper and maydit/openfda-drug-label-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