# Federal Register Tracker — Rules, Proposed Rules, Notices (`v0iddo/federal-register-tracker`) Actor Pull Federal Register articles filtered by agency, document type, date range, CFR title, or full-text query. One row per article with effective dates, comment-close dates, agencies, CFR references, and links. Free public Federal Register API. - **URL**: https://apify.com/v0iddo/federal-register-tracker.md - **Developed by:** [vøiddo](https://apify.com/v0iddo) (community) - **Categories:** Business, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $0.10 / 1,000 federal register article extracteds 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 Tracker Pull articles from the US Federal Register filtered by agency, document type, date range, and/or full-text query. One row per article, with title, abstract, effective date, comment-close date, agencies, CFR references, and links. ### What you get ```` { "snapshotAt": "2026-06-02T10:55:11+00:00", "documentNumber": "2026-12345", "title": "Endangered and Threatened Wildlife and Plants; …", "type": "Rule", "subtype": null, "action": "Final rule.", "abstract": "We, the U.S. Fish and Wildlife Service, …", "publicationDate": "2026-05-28", "signingDate": "2026-05-22", "effectiveOn": "2026-06-27", "commentsCloseOn": null, "agencies": \["fish-and-wildlife-service", "interior-department"], "agencyNames": \["Fish and Wildlife Service", "Interior Department"], "topics": \["Endangered and threatened species", "Wildlife"], "cfrReferences": \["50 CFR 17"], "significant": false, "presidentName": null, "htmlUrl": "https://www.federalregister.gov/documents/2026/05/28/…", "pdfUrl": "https://www.govinfo.gov/content/pkg/FR-2026-05-28/pdf/…", "jsonUrl": "https://www.federalregister.gov/api/v1/documents/2026-12345.json", "regulationsDotGovUrl": "https://www.regulations.gov/document/FWS-R4-ES-…" } ```` ### How to use **Input.** ```json { "agencies": ["environmental-protection-agency"], "types": ["RULE", "PRORULE"], "publicationDateFrom": "2026-05-01", "publicationDateTo": "", "query": "PFAS", "significantOnly": false, "maxResults": 500 } ```` `agencies` — agency slugs as used by federalregister.gov. Common: `environmental-protection-agency`, `securities-and-exchange-commission`, `treasury-department`, `food-and-drug-administration`, `federal-communications-commission`, `internal-revenue-service`, `department-of-justice`, `department-of-energy`, `department-of-labor`, `consumer-financial-protection-bureau`. Empty list = all agencies. `types` — `RULE` (final rules), `PRORULE` (proposed rules), `NOTICE` (agency notices), `PRESDOCU` (presidential documents). Empty = all. `query` — full-text query across title, abstract, and full document. Leave blank to skip. `publicationDateFrom` / `publicationDateTo` — `YYYY-MM-DD` bounds. If both blank and no other filters, the actor falls back to last-7-days-of-RULEs. `significantOnly` — restrict to docs flagged 'significant' under E.O. 12866 (high-impact rulemakings). `maxResults` — stop after this many articles. `0` = unbounded. ### Pricing PAY\_PER\_EVENT · `$0.0001 per article_record` · 10 000 articles = $1. ### Buyer - Compliance teams tracking specific-agency rulemakings. - Trade associations watching for proposed rules in their sector. - Legal researchers building rule-history datasets. - Policy reporters monitoring a specific CFR title or topic. - Anyone who currently maintains a custom federalregister.gov scraper. ### Source `https://www.federalregister.gov/api/v1/articles` — the official public REST API. No auth required, generous rate limits, pagination via `next_page_url`. Actor paces 0.4 s between pages. # Actor input Schema ## `agencies` (type: `array`): Restrict to these agency slugs. Examples: `environmental-protection-agency`, `securities-and-exchange-commission`, `treasury-department`, `food-and-drug-administration`, `federal-communications-commission`, `internal-revenue-service`. Empty = all agencies. ## `types` (type: `array`): Restrict to these document types. Valid: `RULE` (final rules), `PRORULE` (proposed rules), `NOTICE` (agency notices), `PRESDOCU` (presidential documents). Empty = all. ## `query` (type: `string`): Optional full-text search across title, abstract, and full text. Leave blank for no text filter. ## `publicationDateFrom` (type: `string`): Lower bound for publication date. Empty = no lower bound. Defaults to 7 days ago if both bounds are empty. ## `publicationDateTo` (type: `string`): Upper bound for publication date. Empty = no upper bound. ## `significantOnly` (type: `boolean`): If true, restricts to documents flagged 'significant' under E.O. 12866 (high-impact rulemakings). ## `maxResults` (type: `integer`): Stop after this many articles. 0 = no cap. Use to keep paying runs bounded. ## Actor input object example ```json { "agencies": [], "types": [ "RULE" ], "query": "", "publicationDateFrom": "", "publicationDateTo": "", "significantOnly": false, "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("v0iddo/federal-register-tracker").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("v0iddo/federal-register-tracker").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 v0iddo/federal-register-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=v0iddo/federal-register-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Federal Register Tracker — Rules, Proposed Rules, Notices", "description": "Pull Federal Register articles filtered by agency, document type, date range, CFR title, or full-text query. One row per article with effective dates, comment-close dates, agencies, CFR references, and links. Free public Federal Register API.", "version": "0.2", "x-build-id": "bC6ACPK84UxlcOXoC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/v0iddo~federal-register-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-v0iddo-federal-register-tracker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/v0iddo~federal-register-tracker/runs": { "post": { "operationId": "runs-sync-v0iddo-federal-register-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/v0iddo~federal-register-tracker/run-sync": { "post": { "operationId": "run-sync-v0iddo-federal-register-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "agencies": { "title": "Agency slug filter", "type": "array", "description": "Restrict to these agency slugs. Examples: `environmental-protection-agency`, `securities-and-exchange-commission`, `treasury-department`, `food-and-drug-administration`, `federal-communications-commission`, `internal-revenue-service`. Empty = all agencies.", "default": [], "items": { "type": "string" } }, "types": { "title": "Document type filter", "type": "array", "description": "Restrict to these document types. Valid: `RULE` (final rules), `PRORULE` (proposed rules), `NOTICE` (agency notices), `PRESDOCU` (presidential documents). Empty = all.", "default": [ "RULE" ], "items": { "type": "string" } }, "query": { "title": "Full-text query", "type": "string", "description": "Optional full-text search across title, abstract, and full text. Leave blank for no text filter.", "default": "" }, "publicationDateFrom": { "title": "Publication date — from (YYYY-MM-DD)", "type": "string", "description": "Lower bound for publication date. Empty = no lower bound. Defaults to 7 days ago if both bounds are empty.", "default": "" }, "publicationDateTo": { "title": "Publication date — to (YYYY-MM-DD)", "type": "string", "description": "Upper bound for publication date. Empty = no upper bound.", "default": "" }, "significantOnly": { "title": "Significant only", "type": "boolean", "description": "If true, restricts to documents flagged 'significant' under E.O. 12866 (high-impact rulemakings).", "default": false }, "maxResults": { "title": "Max articles", "minimum": 0, "type": "integer", "description": "Stop after this many articles. 0 = no cap. Use to keep paying runs bounded.", "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 } } } } } } } } } } ```