FTC Enforcement Actions Scraper
Pricing
from $100.00 / 1,000 ftc cases
FTC Enforcement Actions Scraper
Scrape FTC Cases & Proceedings — case title, status, matter number, docket, federal court, filing date, full case summary, related press releases. For antitrust lawyers, advertising compliance teams, financial-services compliance, M&A firms screening for FTC scrutiny, journalists.
Pricing
from $100.00 / 1,000 ftc cases
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NexGenData
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⚖️ FTC Enforcement Actions Scraper — Antitrust, consumer-protection, and Section 5 cases — straight from FTC.gov
Scrape Federal Trade Commission enforcement actions — antitrust merger challenges, consumer-protection cases, Section 5 (unfair or deceptive practices) actions, and FTC Act violations. Get defendant company, case docket, filing date, allegations, settlement terms, civil penalties, and conduct remedies.
One actor. One token. Real-time regulator-direct data delivered in structured JSON.
Why This Actor Beats LexisNexis, Westlaw, Cornell LII
- Westlaw and LexisNexis are $200+/user/month: Both keep FTC cases behind general-purpose legal subscriptions. We extract the structured action data — defendants, dockets, settlements — at per-case pricing.
- Settlement and penalty structured: Each case has a settlement amount, monetary judgment, and conduct remedies (cease-and-desist, divestiture, monitoring) extracted as separate fields.
- Merger challenge tracking: Filter to HSR antitrust merger challenges (Section 7 Clayton Act) to monitor M&A blockage risk in your sector.
- Press release + complaint linked: We surface the FTC press release URL and the underlying complaint/consent decree PDF so you can dig deeper.
| Feature | This Actor ⚖️ | LexisNexis | Westlaw | Cornell LII |
|---|---|---|---|---|
| Pricing model | Pay-per-result (cents per record) | Per-seat license $5K-30K/yr | Per-seat license $10K-25K/yr | Per-seat license $10K-30K/yr |
| Free tier | Yes (Apify free credits) | No | No | Limited search only |
| Real-time freshness | Minutes after source publish | End-of-day refresh | Hourly refresh | Hourly refresh |
| Data source | Direct from regulator | Mixed proprietary + scraped | Mixed proprietary + scraped | Mixed proprietary + scraped |
| API access | REST + webhooks built in | Add-on; extra licence | Add-on; extra licence | Limited |
| Bulk historical | Yes — date-range backfill | Limited download caps | Limited download caps | Limited download caps |
| Setup time | 5 minutes (token + run) | Procurement + onboarding | Procurement + onboarding | Procurement + onboarding |
What You Get
Every record returned by this actor is structured JSON with the following fields populated wherever the source filing provides them:
- Case name, FTC matter number, docket number (when in court)
- Defendant company name, parent company, state of incorporation
- Case type — antitrust merger, antitrust conduct, consumer protection, COPPA, privacy
- Filing date, complaint date, settlement date, status
- Allegations narrative (parsed from complaint)
- Settlement type — consent order, civil penalty, court judgment
- Settlement amount, civil penalty, restitution
- Conduct remedies — divestiture, monitoring, cease-and-desist
- Statute cited — FTC Act Section 5, Clayton Act Section 7, COPPA, GLBA, etc.
- FTC press release URL and complaint document URL
The full output schema is stable across runs — safe to load into Snowflake, BigQuery, Postgres, or your data warehouse without re-mapping each refresh.
Use Cases
- M&A antitrust counsel — Track FTC merger challenges in your sector — what conduct theories the FTC is litigating.
- Compliance officers — Build a precedent library of FTC consumer-protection actions in your industry.
- Plaintiff law firms — Source FTC settlements as predicate for follow-on private class actions.
- Investors — Monitor FTC enforcement risk against portfolio companies.
- Privacy/data-rights researchers — Track FTC privacy enforcement (Section 5, COPPA, GLBA) for empirical study.
- Journalists — Build a beat-feed of new FTC complaints and settlements.
- Academic researchers — Empirical antitrust enforcement datasets across decades.
Quick Start
Install the Apify Python client, set your token, and call the actor:
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run = client.actor("nexgendata/ftc-enforcement-actions-scraper").call(run_input={"maxItems": 100,})for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item)
You can also trigger via cURL:
curl -X POST "https://api.apify.com/v2/acts/nexgendata~ftc-enforcement-actions-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \-H "Content-Type: application/json" \-d '{"maxItems": 100}'
Schedule it on Apify's built-in scheduler for daily, hourly, or every-5-minute refreshes — no infra required.
Pricing
This actor uses pay-per-event pricing on Apify. Primary event: Enforcement case at $0.08 per record. An Actor Start fee of $0.00005 applies per run (charged per GB of memory, minimum 1). No subscription, no seat licence, no procurement cycle — pay only for the rows you receive.
For high-volume use cases (100K+ records/month), contact us at NexGenData for volume discounts.
Sister Actors in the NexGenData Fleet
NexGenData publishes the deepest SEC/regulatory actor catalog on Apify. Pair this actor with:
| Use case | Actor |
|---|---|
| Track CFPB consumer complaints in financial services | cfpb-consumer-complaints-scraper |
| Federal court dockets via CourtListener | courtlistener-federal-docket-scraper |
| EPA enforcement and environmental violations | epa-echo-enforcement-scraper |
| Federal Register rule filings | federal-register-rules-scraper |
| SEC 8-K material events — corporate enforcement disclosures | sec-form-8k-material-events-scraper |
| LDA lobbying disclosure — antitrust lobbying filings | lda-lobbying-disclosure-scraper |
Browse the full 200+ actor catalog at https://apify.com/nexgendata?fpr=2ayu9b.
FAQ
Q: Is this legal?
A: Yes. FTC enforcement actions and consent decrees are public records under federal administrative law.
Q: How fresh is the data?
A: FTC publishes cases as they're filed. Our actor reads ftc.gov on demand.
Q: Can I filter by case type?
A: Yes — pass case_type to capture antitrust, consumer protection, COPPA, or privacy cases separately.
Q: Do you cover state-AG actions?
A: No — this actor is FTC only. State attorneys general parallel actions are not included; multistate AG cases would be a separate actor.
Q: Are administrative orders included?
A: Yes — Part 3 administrative actions (in front of an FTC ALJ) are captured alongside federal court actions.
Q: What's historical coverage?
A: FTC's online case database goes back to the 1990s with full text. Older actions have summary metadata only.
About NexGenData
NexGenData publishes 200+ buyer-intent Apify actors covering SEC filings, federal regulatory data (EPA, FTC, CFPB, FEC, IRS 990, FAA), private-market intelligence (Form D, IPO, 13F, 13D/G), stock screeners across 30+ exchanges (NYSE, NASDAQ, LSE, TSX, ASX, HKEX, KOSPI, SGX, B3, BSE), B2B lead generation, and competitive intelligence. All actors are pay-per-result with no seat licences and no minimum commitments.
Browse the full catalog and start a free run at https://apify.com/nexgendata?fpr=2ayu9b.
Built by independent regulatory-data engineers. Reach out via the Apify message form for custom data integrations.