RECAP PACER Federal Docket Search API
Pricing
$100.00 / 1,000 docket entries
RECAP PACER Federal Docket Search API
Litigation due diligence: search the free RECAP archive of PACER federal-court dockets (CourtListener) — case name, court, dates, cause, nature of suit. Profile a company's federal cases; a Docket-Navigator-style alternative for litigation analysts.
Pricing
$100.00 / 1,000 docket entries
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NexGenData
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A CourtListener API token is required (since Oct 27, 2026). CourtListener now needs an API token for every search. Get a free one at https://www.courtlistener.com/profile/api/ and put it in the
courtListenerTokeninput. Without it the run stops before anything is searched, with the messagemissing_courtlistener_token; no result rows are charged (only the platform actor-start fee).
Use it for litigation due diligence on companies — output is federal docket search results (case, court, dates, cause, nature of suit).
Search federal PACER dockets via the RECAP archive — case records without PACER fees.
Factual public records — assembled for research and monitoring.
📊 Sample Output

caseName | court | courtId | dateFiled | docketNumber | assignedTo |
|---|---|---|---|---|---|
| Mantle I.P. Holdings, Ltd v. Cardsmiths, LLC | District Court, S.D. New York | nysd | 2026-09-24 | 1:26-cv-08344 | |
| CB Brand Strategies, LLC v. Flexiquor LLC | District Court, D. Colorado | cod | 2026-09-24 | 1:26-cv-04738 | Cyrus Y. Chung |
| WASHINGTON v. TREEHOUSE FOODS, INC. | District Court, E.D. Pennsylvania | paed | 2026-09-24 | 5:26-cv-07384 | John Michael Gallagher |
| Gerome v. WEIS MARKETS | District Court, E.D. Pennsylvania | paed | 2026-09-24 | 2:26-cv-07381 | Timothy J. Savage |
| Fricker's Progressive Concepts, Inc. v. Frikn Coffee LLC | District Court, N.D. Oklahoma | oknd | 2026-09-24 | 4:26-cv-00590 | Mark T. Steele |
| isoValent LLC v. Reddit, Inc. | District Court, D. Delaware | ded | 2026-09-23 | 1:26-cv-01189 | Unassigned Judge |
Real rows from run WIS8rvubE8vMDBZUP on build 0.0.15 (2026-09-25), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.
⚙️ Sample inputs
This is the Store example input — the same input Apify's automated check runs — so it is proven to return rows on the current build. Paste it into the input form, or send it through the API, CLI or a schedule:
{"searchType": "r","query": "patent infringement"}
🔧 Input reference
| Field | Type | Default | What it does |
|---|---|---|---|
searchType | string | "r" | o = court opinions, r = RECAP dockets. |
query | string | "patent infringement" | Full-text search (case name, party, topic). |
court | string | Court ID filter (e.g. 'scotus', 'cafc'). | |
dateFiledAfter | string | Only records filed on/after this date (YYYY-MM-DD). | |
maxResults | integer | 200 | Maximum records to return. |
courtListenerToken | string (secret) | — | Required free CourtListener token (5 req/min, 50/hour, 125/day on the default tier); without it the run stops before any search or charge. A rejected token stops the run before anything is searched or charged beyond the start fee. |
🧾 JSON sample record
One real record from run WIS8rvubE8vMDBZUP (emails/phones masked, long text shortened):
{"caseName": "Mantle I.P. Holdings, Ltd v. Cardsmiths, LLC","court": "District Court, S.D. New York","courtId": "nysd","dateFiled": "2026-09-24","docketNumber": "1:26-cv-08344","citation": null,"citeCount": null,"judge": null,"attorney": [],"url": null,"snippet": null,"dateTerminated": null,"cause": "","chapter": null,"assignedTo": null,"natureOfSuit": ""}
💰 Pricing
| Event | Price (USD) | When it is charged |
|---|---|---|
Docket entry (apify-default-dataset-item) | $0.1 | Charged per result row returned. |
Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.1 = $10.00 plus the start fee.
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27 more in this family on the NexGenData Store page.
⏰ Run this as a monitoring subscription (recommended)
Regulatory data is monitoring data. Schedule a weekly sweep (0 8 * * 1) and catch new dockets as they post — an always-on official-records feed.
📊 What you get
Clean JSON, one record per docket (full output has 16 fields):
caseName— Case Namecourt— CourtcourtId— Court IddateFiled— Date FileddocketNumber— Docket Numbercitation— CitationciteCount— Cite Countjudge— Judgeattorney— Attorneyurl— Url
Pricing: $0.100 per docket (Pay-Per-Event) — about 10 dockets per $1.
🤖 Use with AI agents
Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull official records on demand.
Agentic payments (x402): Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.
🔗 Related regulatory actors
US courts & enforcement records — one schema:
Court Opinions · Federal Dockets · Federal Judges · Oral Arguments · Court Records Search · Federal Litigation Records · FTC Enforcement · Enforcement RAG
Agent front door — Legal MCP: Legal MCP
Public official records and enforcement data, assembled for research and monitoring.
🤖 Use with AI agents
Structured JSON for LLM and agent pipelines (Claude, the OpenAI Agents SDK, n8n or any MCP-aware client).
Sample agent prompt:
Search federal court dockets for antitrust cases in the Northern District of California (I have a CourtListener API token).