# US Federal Register & Regulations Scraper (`maydit/us-federal-register-scraper`) Actor Scrape US Federal Register rules, proposed rules, notices, and executive orders into clean records for regulatory monitoring. - **URL**: https://apify.com/maydit/us-federal-register-scraper.md - **Developed by:** [Brandt May](https://apify.com/maydit) (community) - **Categories:** News, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## US Federal Register & Regulations Scraper 📜 Monitor **new US federal regulations** — final rules, proposed rules, notices, and executive orders — as clean, structured records straight from the official **Federal Register API**. No API key, no login. Built for **compliance teams, legal & regulatory affairs, lobbyists, trade associations, and consultants** who need to track regulatory changes by agency, topic, or keyword on a schedule. ### ✅ What you get One normalized record per document: | Field | Description | |---|---| | `title` | Document title | | `documentType` | Rule / Proposed Rule / Notice / Presidential Document | | `agencies` | Issuing agency/agencies | | `action` | The regulatory action (e.g. "Final rule", "Notice of proposed rulemaking") | | `abstract` | Summary of the document | | `publicationDate` | Date published in the Federal Register | | `effectiveDate` | When the rule takes effect | | `commentsCloseDate` | Public comment deadline (proposed rules) | | `documentNumber` | Federal Register document number | | `citation` | FR citation (e.g. "91 FR 41466") | | `regulationIdNumbers` | RIN(s) | | `docketIds` | Agency docket number(s) | | `topics` | Regulatory topics / index terms | | `significant` | Whether flagged as a significant regulatory action | | `htmlUrl` / `pdfUrl` | Links to the document | ### 🔍 Filters - **Keyword** — full-text search (topic, company, product, statute) - **Document types** — final rules, proposed rules, notices, presidential documents - **Agencies** — by Federal Register slug (`environmental-protection-agency`, `securities-and-exchange-commission`, `food-and-drug-administration`, …) - **Published since / until** — date window for weekly monitoring - **Order** — newest, oldest, or most relevant ### 💡 Example: new EPA proposed rules this month ```json { "documentTypes": ["PRORULE"], "agencies": ["environmental-protection-agency"], "publishedSince": "2026-06-01", "order": "newest" } ```` Returns every new EPA proposed rule this month — with the action, comment deadline, RIN, and links. ### 🔄 Recurring use Schedule the Actor daily or weekly with `publishedSince` set to your last run date for a continuous feed of new regulations affecting your industry — automated regulatory monitoring. ### ⚖️ Data source Data comes from the official **Federal Register API** (federalregister.gov), a public US government service. Public domain, no key required. ### 💬 Support Found a bug or want another field (full text, agency comments)? Open an issue on the Issues tab. # Actor input Schema ## `keyword` (type: `string`): Full-text search term across Federal Register documents, e.g. 'artificial intelligence', 'emissions', a company or product name. Leave empty to browse by type/agency/date. ## `documentTypes` (type: `array`): Which document types to include. Leave empty for all. ## `agencies` (type: `array`): Restrict to agencies by their Federal Register slug, e.g. 'environmental-protection-agency', 'securities-and-exchange-commission', 'food-and-drug-administration'. Leave empty for all. ## `publishedSince` (type: `string`): Only documents published on or after this date (YYYY-MM-DD). Great for weekly regulatory monitoring. ## `publishedUntil` (type: `string`): Only documents published on or before this date (YYYY-MM-DD). ## `order` (type: `string`): Sort order for results. ## `maxResults` (type: `integer`): Upper bound on documents returned per run. ## Actor input object example ```json { "keyword": "artificial intelligence", "documentTypes": [], "agencies": [], "publishedSince": "2026-06-01", "order": "newest", "maxResults": 1000 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("maydit/us-federal-register-scraper").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 = {} # Run the Actor and wait for it to finish run = client.actor("maydit/us-federal-register-scraper").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 '{}' | apify call maydit/us-federal-register-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=maydit/us-federal-register-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "US Federal Register & Regulations Scraper", "description": "Scrape US Federal Register rules, proposed rules, notices, and executive orders into clean records for regulatory monitoring.", "version": "1.0", "x-build-id": "VqNADvwaf7H30Bk7p" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/maydit~us-federal-register-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-maydit-us-federal-register-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/maydit~us-federal-register-scraper/runs": { "post": { "operationId": "runs-sync-maydit-us-federal-register-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/maydit~us-federal-register-scraper/run-sync": { "post": { "operationId": "run-sync-maydit-us-federal-register-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keyword": { "title": "Keyword / search term", "type": "string", "description": "Full-text search term across Federal Register documents, e.g. 'artificial intelligence', 'emissions', a company or product name. Leave empty to browse by type/agency/date." }, "documentTypes": { "title": "Document types", "type": "array", "description": "Which document types to include. Leave empty for all.", "items": { "type": "string", "enum": [ "RULE", "PRORULE", "NOTICE", "PRESDOCU" ], "enumTitles": [ "Final Rule", "Proposed Rule", "Notice", "Presidential Document" ] }, "default": [] }, "agencies": { "title": "Agencies", "type": "array", "description": "Restrict to agencies by their Federal Register slug, e.g. 'environmental-protection-agency', 'securities-and-exchange-commission', 'food-and-drug-administration'. Leave empty for all.", "default": [], "items": { "type": "string" } }, "publishedSince": { "title": "Published since", "type": "string", "description": "Only documents published on or after this date (YYYY-MM-DD). Great for weekly regulatory monitoring." }, "publishedUntil": { "title": "Published until", "type": "string", "description": "Only documents published on or before this date (YYYY-MM-DD)." }, "order": { "title": "Order", "enum": [ "newest", "oldest", "relevance" ], "type": "string", "description": "Sort order for results.", "default": "newest" }, "maxResults": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Upper bound on documents returned per run.", "default": 1000 } } }, "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 } } } } } } } } } } ```