⚖️ CourtListener Federal Docket Scraper — RECAP avatar

⚖️ CourtListener Federal Docket Scraper — RECAP

Pricing

from $8.00 / 1,000 docket returneds

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⚖️ CourtListener Federal Docket Scraper — RECAP

⚖️ 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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Developer

Stephan Corbeil

Stephan Corbeil

Maintained by Community

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2

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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.
FeatureThis Actor ⚖️PACER ($0.10/page)WestlawBloomberg Law
Pricing modelPay-per-result (cents per record)Per-seat license $5K-30K/yrPer-seat license $10K-25K/yrPer-seat license $10K-30K/yr
Free tierYes (Apify free credits)NoNoLimited search only
Real-time freshnessMinutes after source publishEnd-of-day refreshHourly refreshHourly refresh
Data sourceDirect from regulatorMixed proprietary + scrapedMixed proprietary + scrapedMixed proprietary + scraped
API accessREST + webhooks built inAdd-on; extra licenceAdd-on; extra licenceLimited
Bulk historicalYes — date-range backfillLimited download capsLimited download capsLimited download caps
Setup time5 minutes (token + run)Procurement + onboardingProcurement + onboardingProcurement + 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 ApifyClient
client = 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 caseActor
Track FTC enforcement actionsftc-enforcement-actions-scraper
Monitor CFPB consumer complaintscfpb-consumer-complaints-scraper
EPA enforcement and compliance violationsepa-echo-enforcement-scraper
Federal Register rule filingsfederal-register-rules-scraper
SEC 8-K material events — corporate litigation flagssec-form-8k-material-events-scraper
USAspending federal awards and grantsusaspending-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.