# Federal Register Regulation Change Monitor (`lavender_whistle/federal-register-monitor`) Actor Monitor new and proposed US federal regulations from the Federal Register in one run. Clean rows: title, agencies, type, publication date, docket ID, RIN, comment deadline, effective date, abstract, link. Zero-config default returns the last 7 days. 100% public data, no login. - **URL**: https://apify.com/lavender\_whistle/federal-register-monitor.md - **Developed by:** [Cathal Judge](https://apify.com/lavender_whistle) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $4.00 / 1,000 result rows 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 Regulation Change Monitor **Apify Store title:** `Federal Register Regulation Change Monitor` **Apify Store description:** > Monitor new and proposed US federal regulations across every agency, straight from the official Federal Register API. Get clean rows: title, agencies, document type (Rule, Proposed Rule, Notice), publication date, docket ID, RIN, comment deadline, effective date, abstract, and a link to the full document. Filter by document type, agency, keyword, or date range. Ideal for compliance teams, legal, government affairs, lobbyists, and regulated industries tracking rule changes on a schedule. Zero-config default run returns the last 7 days of rules and proposed rules immediately. 100% public government data: no login, no PII. ### Source + legality `GET https://www.federalregister.gov/api/v1/documents.json` - the official public Federal Register API over every rule, proposed rule, notice, and presidential document. Statutorily public government data; a descriptive `User-Agent` is sent as a courtesy. No authentication, no consumer PII. ### Zero-config default run Empty input returns final rules and proposed rules published in the last 7 days (newest first), so the Store "try it" button works on first click. ### Input (all optional) - `documentTypes` - types to include, codes (RULE, PRORULE, NOTICE, PRESDOCU) or friendly names (Rule, Proposed Rule, Notice). Default: `["RULE", "PRORULE"]`. - `lookbackDays` - days back from today by publication date. Default: `7`. - `term` - optional full-text keyword, e.g. `PFAS`, `cybersecurity`. - `agencies` - optional agency slugs, e.g. `environmental-protection-agency`. - `maxResults` - max rows per run, newest first. Default: `50`. ### Output fields `documentNumber, title, documentType, agencies[], publicationDate, docketId, rin, regulationIdNumbers[], abstract, effectiveOn, commentsCloseOn, source` ### Run locally (no Apify account) ```bash npm install npm test --workspace actors/federal-register-monitor ## or run the actor directly: node actors/federal-register-monitor/src/main.js ```` ### Proposed pricing (set in Apify at publish - CJ-gated) Pay-Per-Event in the documented winning band: - **~$0.004 per regulation returned** Pricing is NOT set here - configured on the Apify Store at publish, CJ-gated. No account, no publish, no spend happens in this repo. # Actor input Schema ## `documentTypes` (type: `array`): Which Federal Register document types to include. Accepts codes (RULE, PRORULE, NOTICE, PRESDOCU) or friendly names (Rule, Proposed Rule, Notice, Presidential Document). Leave as the default for final and proposed rules. ## `lookbackDays` (type: `integer`): How many days back from today to include, based on publication date. Use 1 for a daily monitor, 7 for a weekly digest. ## `term` (type: `string`): Optional full-text search across the regulation, e.g. "PFAS", "cybersecurity", or a company name. Leave blank to return all matching document types. ## `agencies` (type: `array`): Optional list of Federal Register agency slugs to filter by, e.g. environmental-protection-agency, securities-and-exchange-commission, food-and-drug-administration. Leave blank for all agencies. ## `maxResults` (type: `integer`): Maximum number of regulation rows to return per run, newest first. ## Actor input object example ```json { "documentTypes": [ "RULE", "PRORULE" ], "lookbackDays": 7, "term": "", "agencies": [], "maxResults": 50 } ``` # 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 = { "documentTypes": [ "RULE", "PRORULE" ], "lookbackDays": 7, "term": "", "agencies": [], "maxResults": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("lavender_whistle/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 = { "documentTypes": [ "RULE", "PRORULE", ], "lookbackDays": 7, "term": "", "agencies": [], "maxResults": 50, } # Run the Actor and wait for it to finish run = client.actor("lavender_whistle/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 '{ "documentTypes": [ "RULE", "PRORULE" ], "lookbackDays": 7, "term": "", "agencies": [], "maxResults": 50 }' | apify call lavender_whistle/federal-register-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lavender_whistle/federal-register-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Federal Register Regulation Change Monitor", "description": "Monitor new and proposed US federal regulations from the Federal Register in one run. Clean rows: title, agencies, type, publication date, docket ID, RIN, comment deadline, effective date, abstract, link. Zero-config default returns the last 7 days. 100% public data, no login.", "version": "0.1", "x-build-id": "7lSKQidNLbgwzPaOA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lavender_whistle~federal-register-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lavender_whistle-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lavender_whistle~federal-register-monitor/runs": { "post": { "operationId": "runs-sync-lavender_whistle-federal-register-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lavender_whistle~federal-register-monitor/run-sync": { "post": { "operationId": "run-sync-lavender_whistle-federal-register-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "documentTypes": { "title": "Document types", "type": "array", "description": "Which Federal Register document types to include. Accepts codes (RULE, PRORULE, NOTICE, PRESDOCU) or friendly names (Rule, Proposed Rule, Notice, Presidential Document). Leave as the default for final and proposed rules.", "items": { "type": "string" }, "default": [ "RULE", "PRORULE" ] }, "lookbackDays": { "title": "Lookback (days)", "minimum": 1, "maximum": 365, "type": "integer", "description": "How many days back from today to include, based on publication date. Use 1 for a daily monitor, 7 for a weekly digest.", "default": 7 }, "term": { "title": "Keyword (optional)", "type": "string", "description": "Optional full-text search across the regulation, e.g. \"PFAS\", \"cybersecurity\", or a company name. Leave blank to return all matching document types.", "default": "" }, "agencies": { "title": "Agencies (optional)", "type": "array", "description": "Optional list of Federal Register agency slugs to filter by, e.g. environmental-protection-agency, securities-and-exchange-commission, food-and-drug-administration. Leave blank for all agencies.", "items": { "type": "string" }, "default": [] }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 250, "type": "integer", "description": "Maximum number of regulation rows to return per run, newest first.", "default": 50 } } }, "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 } } } } } } } } } } ```