⚖️ FTC Enforcement Actions Scraper — Antitrust & Compliance Intel

Pull cases and proceedings directly from the FTC's Legal Library — title, status (pending / closed / settled), matter number, docket, federal court, filing date, full case summary, and related press releases. Built for antitrust lawyers, advertising-compliance teams, M&A firms screening for FTC scrutiny, and journalists tracking enforcement trends.

📦 What you get per case

• case_url, title, long_title
• case_status (Pending / Closed / Settled / etc.)
• matter_number, docket_number, federal_court
• filing_date (when present)
• description (canonical FTC og:description)
• summary (Case Summary body, up to 2000 chars)
• press_releases[] — list of linked FTC PR titles
• list_title (verbatim title from the index page)

🎯 Use cases

1. Antitrust counsel — track active FTC merger challenges, consent orders, and proposed remedies.
2. Advertising compliance — survey ROSCA / negative-option enforcement cases (subscription billing pattern).
3. Financial-services compliance — surface lender / debt-collector / fintech enforcement actions before regulators contact you.
4. M&A firms — screen target companies for prior or open FTC investigations during diligence.
5. Journalists — daily enforcement pipeline for antitrust beat reporters.
6. Academic research — empirical analysis of FTC enforcement patterns by industry, court, or political administration.

🚀 Quick start (JSON input)

{
  "query": "",
  "dateFrom": "",
  "dateTo": "",
  "maxCases": 25
}

💻 Code Example — Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/ftc-enforcement-actions-scraper").call(run_input={
    "query": "merger",
    "maxCases": 50,
})
for case in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(case["filing_date"], case["case_status"], case["title"])

🌐 Code Example — cURL

curl -X POST "https://api.apify.com/v2/acts/nexgendata~ftc-enforcement-actions-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"query":"subscription","maxCases":25}'

🔌 Integrations

• Zapier — Slack alerts on any new FTC enforcement filing matching a keyword.
• Make.com — daily refresh of an internal compliance database.
• n8n — scheduled crawl that flags any case where the docket number changed.

💰 Pricing (pay per event)

• Actor Start: flat per-run fee (depends on memory).
• FTC case: charged once per case pushed to the dataset.

Cost example: 100 cases ≈ 100 × per-case event + 1 start. Cheaper than maintaining a manual newsletter or paid Westlaw alerts.

❓ FAQ

Q: How fresh is the data? The FTC Legal Library updates as cases are filed; this actor returns the same listing the public site shows. Most new cases appear within 24–48 hours of public docket filing.

Q: How does the date filter work? The actor pulls all matching cases from the index, then filters each detail page by the parsed filing_date. If the FTC page doesn't have a parseable date, the case is included regardless.

Q: What's a 'matter number' vs. a 'docket number'? Matter number = FTC internal case ID. Docket number = the federal-court case number (when the FTC is in court rather than handling administratively).

Q: Can I get the full complaint PDF? This actor returns the case summary + linked press-release titles. For complaint PDFs, follow the case_url and pull from the Documents tab — that's a separate enrichment we'll add as an add-on if there's demand.

Q: Bug reports? Open an issue on the Apify console — responses within 24 hours.

🔗 Related NexGenData Actors

• SEC Form 8-K Material Events Tracker
• CFPB Consumer Complaints Scraper
• USAspending Federal Awards Scraper

🚀 Apify Affiliate Program

New to Apify? Sign up via our referral link — you get free platform credits on signup, and you help fund the maintenance of this actor fleet.

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Built and maintained by NexGenData — 170+ actors covering scraping, enrichment, MCP servers, and automation. Home: thenextgennexus.com.