# Federal Register Search โ€” US Regulations & Rules (`scrapeworks/federal-register`) Actor Search the official US Federal Register for rules, proposed rules, notices, and executive orders. Clean JSON with agency, dates, abstract, and links. Filter by type, agency, date, or keyword. - **URL**: https://apify.com/scrapeworks/federal-register.md - **Developed by:** [Nicolas van Arkens](https://apify.com/scrapeworks) (community) - **Categories:** News, Other, Open source - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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. 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 ## Federal Register Search โ€” US Regulations & Rules ๐Ÿ›๏ธ Search the official **US Federal Register** for federal rules, proposed rules, public notices, and presidential documents (executive orders, proclamations) โ€” returned as clean, structured JSON. Filter by keyword, document type, agency, or date, and get agency names, publication and effective dates, comment deadlines, citations, and direct links. Built for **legal, compliance, policy, and journalism** workflows where knowing what the government just published โ€” and when it takes effect โ€” actually matters. ### Why use it - ๐Ÿ“œ **All document types** โ€” final rules, proposed rules, notices, and presidential documents - ๐Ÿข **Agency filtering** โ€” track a specific agency (EPA, SEC, FDA, etc.) - ๐Ÿ—“๏ธ **Date & deadline fields** โ€” publication date, effective date, and comment-close date - ๐Ÿ”Ž **Full-text search** โ€” find every document mentioning your topic - ๐Ÿงพ **Citations & links** โ€” official citation plus HTML and PDF URLs - ๐Ÿ‘” **Executive orders** โ€” president, EO number, and signing date for presidential documents ### Use cases - **Regulatory monitoring** โ€” track new and proposed rules affecting your industry - **Compliance** โ€” catch effective dates and public-comment deadlines - **Legal research** โ€” find rules and notices by agency or topic - **Policy & journalism** โ€” monitor executive orders and agency actions as they publish - **Datasets** โ€” build structured corpora of federal regulatory activity ### Input | Field | Description | |-------|-------------| | **Search term** | Full-text keywords. | | **Document types** | RULE, PRORULE, NOTICE, PRESDOCU (any combination). | | **Agency slug** | Restrict to one agency (Federal Register slug). | | **Published after / before** | Date range (YYYY-MM-DD). | | **Sort order** | Newest, oldest, or relevance. | | **Maximum documents** | How many to return. | ### Output ```json { "documentNumber": "2026-12345", "title": "Endangered and Threatened Wildlife and Plants; Listing the Foo Species", "type": "Rule", "abstract": "We, the U.S. Fish and Wildlife Service, are listing...", "action": "Final rule.", "agencies": ["Fish and Wildlife Service", "Interior Department"], "publicationDate": "2026-05-15", "effectiveDate": "2026-06-15", "commentsCloseDate": null, "citation": "91 FR 12345", "url": "https://www.federalregister.gov/documents/2026/05/15/2026-12345/...", "pdfUrl": "https://www.govinfo.gov/content/pkg/FR-2026-05-15/pdf/2026-12345.pdf" } ```` Export to JSON, CSV, or Excel, or pull via the Apify API. Schedule it and pipe new rules into Slack, email, or a compliance dashboard. ### Notes - Uses the official public Federal Register API. Independent tool, not affiliated with the Office of the Federal Register or the US government. - Agency slugs follow the Federal Register's own naming (see federalregister.gov/agencies). # Actor input Schema ## `searchTerm` (type: `string`): Full-text keywords to search across documents. Example: 'clean air' or 'data privacy'. Leave empty to browse by the filters below. ## `documentTypes` (type: `array`): Restrict to specific document types. Valid values: RULE (final rule), PRORULE (proposed rule), NOTICE, PRESDOCU (presidential documents like executive orders). Leave empty for all types. ## `agency` (type: `string`): Restrict to a specific agency by its Federal Register slug, e.g. 'environmental-protection-agency', 'securities-and-exchange-commission', 'food-and-drug-administration'. ## `publishedAfter` (type: `string`): Only documents published on/after this date (YYYY-MM-DD). ## `publishedBefore` (type: `string`): Only documents published on/before this date (YYYY-MM-DD). ## `order` (type: `string`): How to sort results. ## `maxItems` (type: `integer`): How many documents to return. ## Actor input object example ```json { "searchTerm": "artificial intelligence", "order": "newest", "maxItems": 100 } ``` # 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 = { "searchTerm": "artificial intelligence" }; // Run the Actor and wait for it to finish const run = await client.actor("scrapeworks/federal-register").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 = { "searchTerm": "artificial intelligence" } # Run the Actor and wait for it to finish run = client.actor("scrapeworks/federal-register").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 '{ "searchTerm": "artificial intelligence" }' | apify call scrapeworks/federal-register --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapeworks/federal-register", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Federal Register Search โ€” US Regulations & Rules", "description": "Search the official US Federal Register for rules, proposed rules, notices, and executive orders. Clean JSON with agency, dates, abstract, and links. Filter by type, agency, date, or keyword.", "version": "0.1", "x-build-id": "rVoF1Sx9ezO63YUdu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapeworks~federal-register/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapeworks-federal-register", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapeworks~federal-register/runs": { "post": { "operationId": "runs-sync-scrapeworks-federal-register", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapeworks~federal-register/run-sync": { "post": { "operationId": "run-sync-scrapeworks-federal-register", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchTerm": { "title": "Search term", "type": "string", "description": "Full-text keywords to search across documents. Example: 'clean air' or 'data privacy'. Leave empty to browse by the filters below." }, "documentTypes": { "title": "Document types", "type": "array", "description": "Restrict to specific document types. Valid values: RULE (final rule), PRORULE (proposed rule), NOTICE, PRESDOCU (presidential documents like executive orders). Leave empty for all types.", "items": { "type": "string" } }, "agency": { "title": "Agency slug", "type": "string", "description": "Restrict to a specific agency by its Federal Register slug, e.g. 'environmental-protection-agency', 'securities-and-exchange-commission', 'food-and-drug-administration'." }, "publishedAfter": { "title": "Published after", "type": "string", "description": "Only documents published on/after this date (YYYY-MM-DD)." }, "publishedBefore": { "title": "Published before", "type": "string", "description": "Only documents published on/before this date (YYYY-MM-DD)." }, "order": { "title": "Sort order", "enum": [ "newest", "oldest", "relevance" ], "type": "string", "description": "How to sort results.", "default": "newest" }, "maxItems": { "title": "Maximum documents", "minimum": 1, "maximum": 10000, "type": "integer", "description": "How many documents to return.", "default": 100 } } }, "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 } } } } } } } } } } ```