# Regulations.gov Scraper - Federal Rules & Comments (`lulzasaur/regulations-gov-scraper`) Actor Search and extract federal regulatory documents from Regulations.gov. Get proposed rules, comments, docket info, and comment periods across all US government agencies. - **URL**: https://apify.com/lulzasaur/regulations-gov-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Regulations.gov Scraper - Federal Regulatory Documents Search and extract federal regulatory documents, proposed rules, and public comments from [Regulations.gov](https://www.regulations.gov), the US government's official platform for federal rulemaking. ### Features - **Full federal register**: Access documents from 300+ US government agencies - **Search & filter**: Search by keyword, agency, document type, comment period status, and date range - **Document types**: Notices, Proposed Rules, Final Rules, Supporting Materials - **Comment tracking**: Filter for documents currently open for public comment - **Fast & reliable**: Uses the official Regulations.gov v4 API ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchTerm` | string | (required) | Keyword search (e.g., 'AI', 'climate', 'healthcare') | | `agencyId` | string | (empty) | Filter by agency (e.g., 'EPA', 'FDA', 'SEC') | | `documentType` | string | (empty) | Filter: Notice, Proposed Rule, Rule, etc. | | `commentPeriod` | string | (empty) | Filter: open or closed for comments | | `postedDateFrom` | string | (empty) | Posted after date (MM/DD/YYYY) | | `postedDateTo` | string | (empty) | Posted before date (MM/DD/YYYY) | | `maxResults` | integer | 100 | Max documents to return (0 = all, max 5000) | ### Output Example ```json { "documentId": "EPA-2026-0001-0001", "title": "Clean Air Standards Update", "agencyId": "EPA", "documentType": "Proposed Rule", "postedDate": "2026-03-15T05:00:00Z", "commentEndDate": "2026-05-15T04:00:00Z", "openForComment": true, "docketId": "EPA-2026-0001", "url": "https://www.regulations.gov/document/EPA-2026-0001-0001" } ```` ### Use Cases - **Policy analysts**: Track regulatory changes across agencies - **Lobbyists & advocacy groups**: Monitor open comment periods for engagement - **Legal researchers**: Build databases of federal rulemaking history - **Compliance teams**: Stay updated on upcoming regulations in their industry - **Journalists**: Investigate federal regulatory activity and trends - **Government contractors**: Track procurement-related regulatory changes # Actor input Schema ## `searchTerm` (type: `string`): Search for regulatory documents by keyword (e.g., 'climate', 'AI', 'healthcare'). Required. ## `agencyId` (type: `string`): Filter by agency (e.g., 'EPA', 'FDA', 'SEC', 'DOL', 'FCC'). Leave empty for all agencies. ## `documentType` (type: `string`): Filter by document type ## `commentPeriod` (type: `string`): Filter by comment status ## `postedDateFrom` (type: `string`): Only include documents posted on or after this date (MM/DD/YYYY format) ## `postedDateTo` (type: `string`): Only include documents posted on or before this date (MM/DD/YYYY format) ## `maxResults` (type: `integer`): Maximum number of documents to return. Set 0 for all (max 5000 per search). ## `proxyConfiguration` (type: `object`): Proxy settings (usually not needed — uses free DEMO\_KEY API) ## Actor input object example ```json { "searchTerm": "", "agencyId": "", "documentType": "", "commentPeriod": "", "postedDateFrom": "", "postedDateTo": "", "maxResults": 100, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `dataset` (type: `string`): No description # 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("lulzasaur/regulations-gov-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("lulzasaur/regulations-gov-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 lulzasaur/regulations-gov-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/regulations-gov-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Regulations.gov Scraper - Federal Rules & Comments", "description": "Search and extract federal regulatory documents from Regulations.gov. Get proposed rules, comments, docket info, and comment periods across all US government agencies.", "version": "1.0", "x-build-id": "NFdxwlNfffzfzIdFd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~regulations-gov-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-regulations-gov-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/lulzasaur~regulations-gov-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-regulations-gov-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/lulzasaur~regulations-gov-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-regulations-gov-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", "required": [ "searchTerm" ], "properties": { "searchTerm": { "title": "Search Term", "type": "string", "description": "Search for regulatory documents by keyword (e.g., 'climate', 'AI', 'healthcare'). Required.", "default": "" }, "agencyId": { "title": "Agency ID", "type": "string", "description": "Filter by agency (e.g., 'EPA', 'FDA', 'SEC', 'DOL', 'FCC'). Leave empty for all agencies.", "default": "" }, "documentType": { "title": "Document Type", "enum": [ "", "Notice", "Proposed Rule", "Rule", "Supporting & Related Material", "Other" ], "type": "string", "description": "Filter by document type", "default": "" }, "commentPeriod": { "title": "Comment Period", "enum": [ "", "open", "closed" ], "type": "string", "description": "Filter by comment status", "default": "" }, "postedDateFrom": { "title": "Posted After (MM/DD/YYYY)", "type": "string", "description": "Only include documents posted on or after this date (MM/DD/YYYY format)", "default": "" }, "postedDateTo": { "title": "Posted Before (MM/DD/YYYY)", "type": "string", "description": "Only include documents posted on or before this date (MM/DD/YYYY format)", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of documents to return. Set 0 for all (max 5000 per search).", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings (usually not needed — uses free DEMO_KEY API)", "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 } } } } } } } } } } ```