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FTC Enforcement Cases Scraper

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FTC Enforcement Cases Scraper

FTC Enforcement Cases Scraper

Under maintenance

Scrapes the full FTC Legal Library cases-and-proceedings index. Returns structured case records with matter number, docket number, case status, type of action, bureau tags, case summary, and links to legal documents (complaints, consent orders, decisions).

Pricing

Pay per event

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0.0

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Developer

BowTiedRaccoon

BowTiedRaccoon

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

6 days ago

Last modified

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Scrapes the full FTC Legal Library cases-and-proceedings index and returns structured case records.

What does this actor do?

This actor crawls the Federal Trade Commission Legal Library to extract all enforcement cases and proceedings — approximately 23,000+ cases covering privacy, data security, deceptive advertising, antitrust, and consumer protection actions.

Each record includes:

  • Case identification: case ID, matter/file number, docket number
  • Case metadata: status (Active, Pending, Under Order, Closed), type of action (Administrative/Federal), last updated date
  • Topic classification: bureau (Bureau of Consumer Protection / Bureau of Competition) and enforcement topic tags
  • Full case summary: description of the enforcement action
  • Legal documents: links to complaints, consent orders, decisions, and other filed documents (PDFs)

Why use this actor?

Existing FTC scrapers on Apify (max 2 users) only scrape press-release feeds — they miss matter numbers, docket numbers, case status, bureau classification, and attached legal documents. This actor scrapes the full Legal Library index: every case from 1970 to present, with all structured metadata.

Use cases:

  • Compliance counsel tracking active FTC enforcement against specific companies or industries
  • Privacy/adtech risk teams monitoring enforcement topics (data security, privacy, advertising)
  • Competition lawyers researching antitrust merger review cases
  • Academic/policy researchers analyzing FTC enforcement patterns over time

Input

FieldTypeDescription
maxItemsintegerMaximum cases to scrape. Omit to scrape all ~23,000+ cases.
startPageintegerPage to start from (0-indexed). Useful for resuming runs.

Output

Each dataset item represents one FTC enforcement case:

{
"caseId": "328433",
"title": "Centerbridge Seaport Acquisition Fund/BrightSpring Health Services, Inc.",
"fullTitle": "Centerbridge Seaport Acquisition Fund L.P. a Limited Partnership ...",
"url": "https://www.ftc.gov/legal-library/browse/cases-proceedings/centerbridge-...",
"matterNumber": null,
"docketNumber": "C-4829",
"caseStatus": "Under Order",
"typeOfAction": "Federal",
"lastUpdated": "June 10, 2026",
"tags": ["Competition", "Bureau of Competition", "Merger", "Health Care"],
"caseSummary": "The FTC took action to protect Americans with intellectual and developmental disabilities...",
"relatedDocuments": "Complaint|https://www.ftc.gov/system/files/...pdf\nDecision and Order|..."
}

Notes

  • The actor uses impit Chrome fingerprinting to pass the Akamai CDN gate — no proxy or CAPTCHA solving required.
  • Full crawl of all 23,000+ cases runs in approximately 3–5 hours at moderate concurrency.
  • Use maxItems for smaller, focused extractions.
  • relatedDocuments is newline-separated with Title|URL format per document.