# Federal Register Monitor: New Rules & Notices (`scrapemint/federal-register-monitor`) Actor Track new US federal rules, proposed rules, notices and presidential documents from the official Federal Register API. Filter by keyword, agency, document type and date. Monitor mode emits only documents you have not seen before - run it on a schedule for a clean regulatory feed. No API key. - **URL**: https://apify.com/scrapemint/federal-register-monitor.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** Business, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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/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 ## Federal Register Monitor: New Rules & Notices Track what the US federal government is publishing, without reading the Federal Register every morning. Search new final rules, proposed rules, notices and presidential documents by keyword, agency, type and date - or turn on monitor mode and get a clean feed of only the documents you have not seen before. Data comes from the official Federal Register API (federalregister.gov). No API key, no login, no browser. ### What you get One row per document: - title, document type, abstract and (for keyword searches) the matching excerpt - publishing agencies, publication date, effective date and comment deadline - significance flag (Executive Order 12866), citation, docket IDs and RIN numbers - direct links to the document page and official PDF ### Example input ```json { "terms": ["artificial intelligence"], "sinceDays": 30 } ```` Agencies accept everyday abbreviations: `"EPA"`, `"FDA"`, `"SEC"`, `"FAA"` all resolve to the right agency, as do full names. ### Monitor mode Turn on **newOnly**, put the actor on a schedule (daily works well - the Register publishes every business day), and each run emits only documents that earlier runs have not returned. Runs where nothing new matched cost nothing. This is how compliance and policy teams use it: one scheduled run per topic or agency, feeding a Slack channel, spreadsheet or downstream workflow. ### Who uses this - **Compliance and legal teams**: know the day a rule affecting your industry is proposed, and its comment deadline, instead of $100s/mo regulatory-tracking subscriptions. - **Policy and government-affairs staff**: follow specific agencies or topics with zero manual checking. - **Contractors and grant seekers**: notices often signal upcoming programs and funding. - **Journalists and researchers**: query years of documents by keyword with structured output. ### Pricing A small fee per document row. Rows that give you nothing are free: searches with no matches, agency names that do not resolve, failed requests, and monitor runs where nothing new appeared. The first 2 rows of every run are free. ### Notes - Source is the official daily Federal Register - the US government's journal of record. Documents appear here the day they are officially published. - A single query window is capped at 10,000 documents by the API; narrow the date range or add keywords to go deeper. # Actor input Schema ## `terms` (type: `array`): Search terms, one per line ("artificial intelligence", "tariff"). Each term is searched separately. Leave empty to get everything matching the other filters. ## `agencies` (type: `array`): Limit to specific agencies, one per line. Accepts common abbreviations ("EPA", "FDA", "SEC"), full names ("Environmental Protection Agency") or Federal Register slugs. Applied to every keyword. Leave empty for all agencies. ## `docTypes` (type: `array`): Which document types to include. Leave empty for all four. ## `sinceDays` (type: `integer`): Only documents published in the last N days. ## `significantOnly` (type: `boolean`): Only documents deemed significant under Executive Order 12866 (major economic or policy impact). ## `newOnly` (type: `boolean`): Remember every document this actor has already returned and emit only ones it has not seen before. Run on a schedule for a clean feed of new rules and notices - quiet runs cost nothing. ## `maxPerQuery` (type: `integer`): How many documents to return per keyword (newest first). ## `maxRows` (type: `integer`): Stop after this many rows in total. ## Actor input object example ```json { "terms": [ "artificial intelligence" ], "sinceDays": 30, "significantOnly": false, "newOnly": false, "maxPerQuery": 50, "maxRows": 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 = { "terms": [ "artificial intelligence" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/federal-register-monitor").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 = { "terms": ["artificial intelligence"] } # Run the Actor and wait for it to finish run = client.actor("scrapemint/federal-register-monitor").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 '{ "terms": [ "artificial intelligence" ] }' | apify call scrapemint/federal-register-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/federal-register-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Federal Register Monitor: New Rules & Notices", "description": "Track new US federal rules, proposed rules, notices and presidential documents from the official Federal Register API. Filter by keyword, agency, document type and date. Monitor mode emits only documents you have not seen before - run it on a schedule for a clean regulatory feed. No API key.", "version": "0.1", "x-build-id": "KD6ub2XE6LqhLJ7HP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~federal-register-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-federal-register-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapemint~federal-register-monitor/runs": { "post": { "operationId": "runs-sync-scrapemint-federal-register-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapemint~federal-register-monitor/run-sync": { "post": { "operationId": "run-sync-scrapemint-federal-register-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "terms": { "title": "Keywords", "type": "array", "description": "Search terms, one per line (\"artificial intelligence\", \"tariff\"). Each term is searched separately. Leave empty to get everything matching the other filters.", "items": { "type": "string" } }, "agencies": { "title": "Agencies", "type": "array", "description": "Limit to specific agencies, one per line. Accepts common abbreviations (\"EPA\", \"FDA\", \"SEC\"), full names (\"Environmental Protection Agency\") or Federal Register slugs. Applied to every keyword. Leave empty for all agencies.", "items": { "type": "string" } }, "docTypes": { "title": "Document types", "type": "array", "description": "Which document types to include. Leave empty for all four.", "items": { "type": "string", "enum": [ "RULE", "PRORULE", "NOTICE", "PRESDOCU" ], "enumTitles": [ "Final rules", "Proposed rules", "Notices", "Presidential documents" ] } }, "sinceDays": { "title": "Published within (days)", "minimum": 1, "maximum": 3650, "type": "integer", "description": "Only documents published in the last N days.", "default": 30 }, "significantOnly": { "title": "Significant documents only", "type": "boolean", "description": "Only documents deemed significant under Executive Order 12866 (major economic or policy impact).", "default": false }, "newOnly": { "title": "Monitor mode: new documents only", "type": "boolean", "description": "Remember every document this actor has already returned and emit only ones it has not seen before. Run on a schedule for a clean feed of new rules and notices - quiet runs cost nothing.", "default": false }, "maxPerQuery": { "title": "Documents per keyword", "minimum": 1, "maximum": 1000, "type": "integer", "description": "How many documents to return per keyword (newest first).", "default": 50 }, "maxRows": { "title": "Max rows", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Stop after this many rows in total.", "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 } } } } } } } } } } ```