⚖️ CourtListener Federal Docket Scraper — RECAP
Pricing
from $8.00 / 1,000 docket returneds
⚖️ CourtListener Federal Docket Scraper — RECAP
Scrape federal court dockets via CourtListener / Free Law Project — case name, docket number, court, parties, attorneys, filings, hearing schedule, jurisdiction. PACER alternative for litigation paralegals, legal-tech, e-discovery vendors, journalists tracking federal litigation.
Pricing
from $8.00 / 1,000 docket returneds
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Stephan Corbeil
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10 hours ago
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⚖️ CourtListener Federal Docket Scraper — Federal court dockets and PACER docs — free RECAP data via CourtListener
Scrape federal court dockets — district courts, appellate courts, and the Supreme Court — via CourtListener's RECAP archive. Search by case name, party, judge, court, or date filed. Get full docket sheets, party lists, attorneys, judge assignments, and links to free RECAP-archived PDFs of motions, orders, and opinions.
One actor. One token. Real-time regulator-direct data delivered in structured JSON.
Why This Actor Beats PACER ($0.10/page), Westlaw, Bloomberg Law
- PACER costs $0.10 per page — we don't: PACER charges $0.10 per page retrieved with a $3-per-document cap. A single complex docket can run $50+ in PACER fees. We read CourtListener's free RECAP mirror at a flat per-entry rate.
- No Westlaw seat needed: Westlaw and Bloomberg Law start at $200+/user/month. CourtListener is free and open. Our actor packages the API into structured pay-per-result delivery.
- Party + judge + attorney structured: Every docket entry includes party names, role (plaintiff, defendant, intervenor), counsel of record, and presiding judge. Useful for litigation analytics and law-firm sales prospecting.
- Full-text search across millions of filings: Search the body text of opinions and motions, not just metadata.
| Feature | This Actor ⚖️ | PACER ($0.10/page) | Westlaw | Bloomberg Law |
|---|---|---|---|---|
| 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, docket number, court (district, circuit, SCOTUS)
- Date filed, date terminated, nature of suit code, cause of action
- Presiding judge name, magistrate judge name
- Parties — name, role (plaintiff/defendant/intervenor), entity flag
- Counsel of record — attorney name, law firm, contact info, bar admission
- Docket entries — date, sequence number, description, document type
- Document URLs (free RECAP PDFs where available)
- Related cases and consolidated dockets
- Appellate history (appeal-to court, mandate date)
- Jury demand and damages-claimed flags (when present)
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
- Litigation analysts — Track high-stakes federal litigation in your sector — patent suits, class actions, M&A challenges.
- Law firms — Sales prospecting: identify companies sued in your practice area before they retain counsel.
- Journalists — Build a feed of newly-filed lawsuits against big tech, big pharma, and Fortune 500 defendants.
- Academic researchers — Empirical legal-studies datasets — case duration, judge effects, outcome prediction.
- Litigation funders — Source potential commercial litigation investments.
- Compliance teams — Monitor litigation exposure against your portfolio companies.
- Activist investors — Spot regulatory and class-action overhang on target companies.
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/courtlistener-federal-docket-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~courtlistener-federal-docket-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: Docket entry at $0.05 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 FTC enforcement actions | ftc-enforcement-actions-scraper |
| Monitor CFPB consumer complaints | cfpb-consumer-complaints-scraper |
| EPA enforcement and compliance violations | epa-echo-enforcement-scraper |
| Federal Register rule filings | federal-register-rules-scraper |
| SEC 8-K material events — corporate litigation flags | sec-form-8k-material-events-scraper |
| USAspending federal awards and grants | usaspending-federal-awards-scraper |
Browse the full 200+ actor catalog at https://apify.com/nexgendata?fpr=2ayu9b.
FAQ
Q: Is this PACER or CourtListener?
A: CourtListener's RECAP archive — a free mirror of PACER documents donated by users. Some documents are RECAP-archived; many aren't. For RECAP-archived PDFs you get the document for free. For others, you'd still need PACER.
Q: Is this legal?
A: Yes. CourtListener and RECAP are run by the Free Law Project, a 501(c)(3) nonprofit. The data is public-record federal court filings.
Q: How fresh is the data?
A: CourtListener typically mirrors PACER within hours. We read on demand.
Q: Can I search by judge?
A: Yes — pass judge_name to filter every case before Judge Easterbrook, Judge Boasberg, etc.
Q: What about state courts?
A: This actor covers federal only. State court coverage is more fragmented — separate actors handle individual state systems.
Q: Does this include sealed cases?
A: No. Sealed dockets are not on CourtListener or PACER public access.
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.