# US Supreme Court Opinions Scraper - Dockets & Justices (`parseforge/supreme-court-opinions-scraper`) Actor Export every US Supreme Court slip opinion. Pull case names, docket numbers, decision dates, authoring justices, citations, syllabus summaries and direct PDF URLs from supremecourt.gov. Backfill any October Term since 2007. CSV, Excel, JSON or XML output. - **URL**: https://apify.com/parseforge/supreme-court-opinions-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** News, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $19.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## โš–๏ธ US Supreme Court Opinions Scraper > ๐Ÿš€ **Export every Supreme Court slip opinion in seconds. Pull case names, docket numbers, dates, authoring justices, citations, and PDF links straight from supremecourt.gov.** > ๐Ÿ•’ **Last updated:** 2026-05-26 ยท **๐Ÿ“Š 13 fields** per record ยท **60+ opinions per term** ยท **October Terms 2007-present** The **US Supreme Court Opinions Scraper** parses the slip-opinion index published on supremecourt.gov for any October Term. Each row captures the case caption, docket number, date, author justice initials, citation, syllabus summary, and PDF URL - exactly as the Court publishes them. **Coverage:** Every slip opinion the Court has published since OT 2007, refreshed live from the official site. --- ### Target Audience / Use Cases | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | |---|---| | Law firms | Track new opinions and citations | | Academic researchers | Bulk-export term data | | Legal-tech vendors | Seed citation databases | | Journalists | Cover decisions on day-of | | Policy shops | Monitor SCOTUS output by justice | --- ### ๐Ÿ“‹ What the US Supreme Court Opinions Scraper does - Pulls every slip opinion in an October Term - Captures docket #, citation, author initials, syllabus - Returns the direct PDF URL - Filters by term - Outputs JSON, CSV, Excel, XML > ๐Ÿ’ก **Why it matters:** Export every Supreme Court slip opinion in seconds. Pull case names, docket numbers, dates, authoring justices, citations, and PDF links straight from supremecourt.gov. --- ### ๐ŸŽฌ Full Demo _๐Ÿšง Coming soon_ --- ### โš™๏ธ Input
FieldTypeRequiredDefaultDescription
maxItemsintegerNo10Max records.
**Example 1:** ```json { "terms": ["24"], "maxItems": 60 } ```` **Example 2:** ```json { "terms": ["23", "22"], "maxItems": 120 } ``` > โš ๏ธ **Good to Know:** Always supply the minimum required search fields documented in the input panel; otherwise the actor returns an explanatory error record. *** ### ๐Ÿ“Š Output Sample: ```json { "title": "Trump v. United States", "docketNumber": "23-939", "date": "7/01/24", "term": "OT 23", "justice": "R", "citation": "603 U.S. 593", "pdfUrl": "https://www.supremecourt.gov/opinions/23pdf/603us1r57_2dp3.pdf" } ``` Key fields: title, docketNumber, date, term, opinionNumber, justice, citation, summary, pdfUrl, url, source, scrapedAt. *** ### โœจ Why choose this Actor - ๐ŸŸข Authoritative source: supremecourt.gov - ๐ŸŸข Per-justice authorship initials - ๐ŸŸข Direct PDF links - ๐ŸŸข Multi-term backfill - ๐ŸŸข No API key required *** ### ๐Ÿ“ˆ How it compares to alternatives | Option | Free | Bulk export | Live | |---|---|---|---| | supremecourt.gov index | Yes | No | Yes | | Westlaw / Lexis | No | Yes | Yes | | **ParseForge SCOTUS Scraper** | **Yes** | **Yes** | **Live** | *** ### ๐Ÿš€ How to use 1. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) 2. Open this actor 3. Set inputs, click Start 4. Download CSV / Excel / JSON / XML 5. Schedule or integrate *** ### ๐Ÿ’ผ Business use cases #### Citation tracking Feed citations into a research dashboard. #### Opinion alerts Trigger on new entries each term. #### Justice analytics Aggregate authorship by initials. #### PDF archiving Mirror every slip opinion locally. *** ### ๐Ÿ”Œ Automating US Supreme Court Opinions Scraper Integrates with **Make**, **Zapier**, **n8n**, **Slack**, **Airbyte**, **GitHub Actions**, **Google Drive**. *** ### ๐ŸŒŸ Beyond business use cases #### Research Term-over-term opinion authorship analyses. #### Personal Build a personal SCOTUS reader. #### Non-profit Civic-tech apps tracking constitutional questions. #### Experimentation Train summarization models on syllabi. *** ### ๐Ÿค– Ask an AI assistant about this scraper ChatGPT ยท Claude ยท Perplexity ยท Microsoft Copilot *** ### โ“ Frequently Asked Questions **Q: Source?** supremecourt.gov slip opinion index. **Q: API key?** No. **Q: Real-time?** Yes - fetched on every run. **Q: Coverage?** Every slip opinion since OT 2007. **Q: Output?** JSON, CSV, Excel, XML. **Q: Free preview?** Yes, 10 records. **Q: Bulk size?** Up to 1,000,000 paid. **Q: Sealed opinions?** Not in the public index. **Q: Concurrences and dissents?** Each is published as its own slip opinion row. **Q: How fresh?** Live; the Court updates the index within hours of release. *** ### ๐Ÿ”Œ Integrate with any app Webhooks, REST API, Make, Zapier, Slack, Airbyte, Google Sheets, and more. *** ### ๐Ÿ”— Recommended Actors | Actor | What it does | |---|---| | CourtListener Opinions Scraper | Federal & state opinion archive | | UK Courts & Tribunals Scraper | UK judgments | | Land Registry Prices Scraper | UK property records | > ๐Ÿ’ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge). **๐Ÿ†˜ Need Help?** [Open our contact form](https://tally.so/r/BzdKgA) > **โš ๏ธ Disclaimer:** independent tool, not affiliated with the Supreme Court of the United States. Only publicly available data from supremecourt.gov is collected. # Actor input Schema ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## `terms` (type: `array`): Two-digit October Term codes (e.g. "24" for OT 2024). Most recent terms are listed first. ## Actor input object example ```json { "maxItems": 10, "terms": [ "24", "23", "22" ] } ``` # Actor output Schema ## `results` (type: `string`): Scraped US Supreme Court Opinions Scraper - Cases, Dockets & Justices records # 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 = { "maxItems": 10, "terms": [ "24", "23", "22" ] }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/supreme-court-opinions-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "maxItems": 10, "terms": [ "24", "23", "22", ], } # Run the Actor and wait for it to finish run = client.actor("parseforge/supreme-court-opinions-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "maxItems": 10, "terms": [ "24", "23", "22" ] }' | apify call parseforge/supreme-court-opinions-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/supreme-court-opinions-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "US Supreme Court Opinions Scraper - Dockets & Justices", "description": "Export every US Supreme Court slip opinion. Pull case names, docket numbers, decision dates, authoring justices, citations, syllabus summaries and direct PDF URLs from supremecourt.gov. Backfill any October Term since 2007. CSV, Excel, JSON or XML output.", "version": "0.1", "x-build-id": "cSdFY8Ay5KoQQk9Gi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~supreme-court-opinions-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-supreme-court-opinions-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~supreme-court-opinions-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-supreme-court-opinions-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~supreme-court-opinions-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-supreme-court-opinions-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). 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