# CourtListener Legal Opinions & Dockets Scraper (`chrisp1211/courtlistener-scraper-max`) Actor Scrape US legal opinions, dockets and judges from CourtListener. Search case law by keyword and court. Returns case name, court, date, citation and snippet. Optional token raises limits. Pay per result; empty runs free. - **URL**: https://apify.com/chrisp1211/courtlistener-scraper-max.md - **Developed by:** [Christian Pichichero](https://apify.com/chrisp1211) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $3.00 / 1,000 records This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## CourtListener Legal Opinions & Dockets Scraper **CourtListener Legal Opinions & Dockets Scraper** — a fast, reliable courtlistener scraper that needs **no API key**. You pay only for the results you get: failed or empty runs are always free. This courtlistener scraper runs on the [Apify platform](https://apify.com), so you can call it from the API, run it on a schedule, or export results to JSON, CSV, Excel, or Google Sheets. ### What this scraper does - Extracts structured **courtlistener** data with no browser or API key required - Returns clean JSON, one record per result — ready for sheets, databases, or apps - Pay-per-result pricing: you are never charged for a run that returns nothing - Runs on demand or on a schedule, and integrates with 5,000+ apps via the Apify API and webhooks ### What data you get Each result record includes fields such as: - **Case Name** (`caseName`) — e.g. `"SoundExchange, Inc. v. Copyright Royalty Bd."` - **Case Name Full** (`caseNameFull`) — e.g. `"SOUNDEXCHANGE, INC., Appellant v. COPYRIGHT ROYALTY BOARD"` - **Court** (`court`) — e.g. `"Court of Appeals for the D.C. Circuit"` - **Court Id** (`courtId`) — e.g. `"cadc"` - **Court Citation** (`courtCitation`) — e.g. `"D.C. Cir."` - **Date Filed** (`dateFiled`) — e.g. `"2018-09-18"` - **Date Argued** (`dateArgued`) — e.g. `null` - **Docket Number** (`docketNumber`) — e.g. `"16-1159; C/w 16-1162"` - **Citation** (`citation`) — e.g. `"904 F.3d 41"` - **Citations** (`citations`) — e.g. `["904 F.3d 41"]` - **Cite Count** (`citeCount`) — e.g. `5` - **Judge** (`judge`) — e.g. `"Rogers, Griffith, Srinivasan"` - **Status** (`status`) — e.g. `"Published"` - **Suit Nature** (`suitNature`) — e.g. `""` - **Snippet** (`snippet`) — e.g. `"Srinivasan, Circuit Judge: This case concerns the rates..."` ### Input | Field | Type | Description | |---|---|---| | `searchTerms` | array | One or more full-text queries to run against CourtListener. Each term is fetched independently (e.g. "copyr... | | `resultType` | string | Which CourtListener search index to query: legal opinions, RECAP PACER dockets, judges/people, or oral argu... | | `court` | string | Optional CourtListener court ID to restrict results to a single court, e.g. "scotus", "cadc", "dcd". Leave ... | | `minDateFiled` | string | Optional client-side filter (YYYY-MM-DD). Only keep records whose dateFiled (or dateArgued) is on or after ... | | `maxResults` | integer | Maximum number of records to return per search term. Paging stops once this is reached. | | `apiToken` | string | Optional Free Law Project API token. Sent as "Authorization: Token " to raise rate limits. Keyless a... | ### Example output ```json { "type": "opinion", "caseName": "SoundExchange, Inc. v. Copyright Royalty Bd.", "caseNameFull": "SOUNDEXCHANGE, INC., Appellant v. COPYRIGHT ROYALTY BOARD", "court": "Court of Appeals for the D.C. Circuit", "courtId": "cadc", "courtCitation": "D.C. Cir.", "dateFiled": "2018-09-18", "dateArgued": null, "docketNumber": "16-1159; C/w 16-1162", "citation": "904 F.3d 41", "citations": [ "904 F.3d 41" ], "citeCount": 5, "judge": "Rogers, Griffith, Srinivasan", "status": "Published", "suitNature": "", "snippet": "Srinivasan, Circuit Judge: This case concerns the rates...", "clusterId": 4535903, "docketId": 7892623, "opinionId": 4313156, "downloadUrl": "https://www.cadc.uscourts.gov/x.pdf", "source": "CU", "score": 170.80087, "absoluteUrl": "https://www.courtlistener.com/opinion/4535903/soundexchange-inc-v-copyright-royalty-bd/", "url": "https://www.courtlistener.com/opinion/4535903/soundexchange-inc-v-copyright-royalty-bd/", "scrapedAt": "2026-07-10T00:00:00Z" } ```` ### Use cases - Automate research and data collection - Feed dashboards, sheets, and databases - Enrich records in your CRM or app - Monitor changes on a schedule ### Run it as a monitor (alerts on new courtlistener) Schedule this courtlistener scraper to run automatically — hourly, daily, or on any cron schedule — with the built-in [Apify Scheduler](https://docs.apify.com/platform/schedules), and have results pushed to you by **webhook, email, Slack, or your own app** the moment they're ready. It's the easiest way to **monitor courtlistener for changes over time** and get alerted the instant something new appears — no manual runs. Because pricing is per result, a scheduled monitor only ever charges you for the data each run actually returns. ### Pricing This actor uses **pay-per-result** pricing at **$0.0008 per record**. There is no monthly fee and no start fee — and **empty or failed runs cost $0**, so you only ever pay for data you actually receive. ### Frequently asked questions **Do I need an API key or account for the source?** No. This courtlistener scraper works out of the box with no API key required. **What happens if a run returns no results?** You are not charged. Billing is per result, so empty or failed runs are free. **Can I run the courtlistener scraper on a schedule?** Yes. Use the Apify Scheduler to run it hourly, daily, or on any cron schedule, and get results by webhook or API. **What export formats are supported?** Results can be exported as JSON, CSV, Excel, HTML, or pushed to Google Sheets, a database, or your own app via the Apify API. **Is the data structured?** Yes. Every courtlistener result is a clean, flat JSON record you can use immediately. # Actor input Schema ## `searchTerms` (type: `array`): One or more full-text queries to run against CourtListener. Each term is fetched independently (e.g. "copyright", "qualified immunity", "Smith v. Jones"). ## `resultType` (type: `string`): Which CourtListener search index to query: legal opinions, RECAP PACER dockets, judges/people, or oral arguments. ## `court` (type: `string`): Optional CourtListener court ID to restrict results to a single court, e.g. "scotus", "cadc", "dcd". Leave blank for all courts. ## `minDateFiled` (type: `string`): Optional client-side filter (YYYY-MM-DD). Only keep records whose dateFiled (or dateArgued) is on or after this date. ## `maxResults` (type: `integer`): Maximum number of records to return per search term. Paging stops once this is reached. ## `apiToken` (type: `string`): Optional Free Law Project API token. Sent as "Authorization: Token " to raise rate limits. Keyless access works without it. ## `maxCostUsd` (type: `integer`): HARD budget cap. The run stops cleanly before exceeding this. ## `proxyConfiguration` (type: `object`): This is an open API; no proxy needed. Default is fine. ## Actor input object example ```json { "searchTerms": [ "copyright" ], "resultType": "opinions", "maxResults": 50, "proxyConfiguration": { "useApifyProxy": false } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchTerms": [ "copyright" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("chrisp1211/courtlistener-scraper-max").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchTerms": ["copyright"], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("chrisp1211/courtlistener-scraper-max").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchTerms": [ "copyright" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call chrisp1211/courtlistener-scraper-max --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=chrisp1211/courtlistener-scraper-max", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CourtListener Legal Opinions & Dockets Scraper", "description": "Scrape US legal opinions, dockets and judges from CourtListener. Search case law by keyword and court. Returns case name, court, date, citation and snippet. Optional token raises limits. Pay per result; empty runs free.", "version": "0.1", "x-build-id": "TedLj4XTWMBpgZ2Gn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/chrisp1211~courtlistener-scraper-max/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-chrisp1211-courtlistener-scraper-max", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/chrisp1211~courtlistener-scraper-max/runs": { "post": { "operationId": "runs-sync-chrisp1211-courtlistener-scraper-max", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/chrisp1211~courtlistener-scraper-max/run-sync": { "post": { "operationId": "run-sync-chrisp1211-courtlistener-scraper-max", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchTerms": { "title": "Search terms", "type": "array", "description": "One or more full-text queries to run against CourtListener. Each term is fetched independently (e.g. \"copyright\", \"qualified immunity\", \"Smith v. Jones\").", "items": { "type": "string" } }, "resultType": { "title": "Result type", "enum": [ "opinions", "dockets", "judges", "oral-arguments" ], "type": "string", "description": "Which CourtListener search index to query: legal opinions, RECAP PACER dockets, judges/people, or oral arguments.", "default": "opinions" }, "court": { "title": "Court filter (court ID)", "type": "string", "description": "Optional CourtListener court ID to restrict results to a single court, e.g. \"scotus\", \"cadc\", \"dcd\". Leave blank for all courts." }, "minDateFiled": { "title": "Minimum date filed", "type": "string", "description": "Optional client-side filter (YYYY-MM-DD). Only keep records whose dateFiled (or dateArgued) is on or after this date." }, "maxResults": { "title": "Max results per search term", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum number of records to return per search term. Paging stops once this is reached.", "default": 50 }, "apiToken": { "title": "CourtListener API token (optional)", "type": "string", "description": "Optional Free Law Project API token. Sent as \"Authorization: Token \" to raise rate limits. Keyless access works without it." }, "maxCostUsd": { "title": "Max cost per run (USD)", "minimum": 1, "type": "integer", "description": "HARD budget cap. The run stops cleanly before exceeding this." }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "This is an open API; no proxy needed. Default is fine.", "default": { "useApifyProxy": false } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```