# Federal Register Rules & Notices Scraper (`chrisp1211/federal-register-scraper-max`) Actor Monitor US federal rules, proposed rules, notices and executive orders from the Federal Register. Search by term, agency and date. Returns title, type, agency, abstract and dates. No API key. Pay per document; empty runs free. - **URL**: https://apify.com/chrisp1211/federal-register-scraper-max.md - **Developed by:** [Christian Pichichero](https://apify.com/chrisp1211) (community) - **Categories:** News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 records 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/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 Rules & Notices Scraper **Federal Register Rules & Notices Scraper** — a fast, reliable federal register scraper that needs **no API key**. You pay only for the results you get: failed or empty runs are always free. This federal register scraper runs on the [Apify platform](https://apify.com), so you can call it from the API, run it on a schedule, or export results to JSON, CSV, Excel, or Google Sheets. ### What this scraper does - Extracts structured **federal register** data with no browser or API key required - Returns clean JSON, one record per result — ready for sheets, databases, or apps - Pay-per-result pricing: you are never charged for a run that returns nothing - Runs on demand or on a schedule, and integrates with 5,000+ apps via the Apify API and webhooks ### What data you get Each result record includes fields such as: - **Document Number** (`documentNumber`) — e.g. `"2026-03888"` - **Title** (`title`) — e.g. `"Air Plan Approval; Missouri; Reporting Emission Data, Em...` - **Document Type** (`documentType`) — e.g. `"Rule"` - **Abstract** (`abstract`) — e.g. `"The Environmental Protection Agency (EPA) is taking fina...` - **Action** (`action`) — e.g. `"Final rule."` - **Agencies** (`agencies`) — e.g. `["Environmental Protection Agency"]` - **Agency Slugs** (`agencySlugs`) — e.g. `["environmental-protection-agency"]` - **Publication Date** (`publicationDate`) — e.g. `"2026-02-26"` - **Effective Date** (`effectiveDate`) — e.g. `"2026-03-30"` - **Citation** (`citation`) — e.g. `"91 FR 9457"` - **Docket Ids** (`docketIds`) — e.g. `["EPA-R07-OAR-2025-2830", "FRL-13059-02-R7"]` - **Regulation Id Numbers** (`regulationIdNumbers`) — e.g. `[]` - **Presidential Document Number** (`presidentialDocumentNumber`) — e.g. `null` - **Executive Order Number** (`executiveOrderNumber`) — e.g. `null` ### Input | Field | Type | Description | |---|---|---| | `searchTerms` | array | Full-text search terms. Each term is run separately against the Federal Register full-text index (condition... | | `documentType` | array | Optional. Restrict results to one or more document categories. Leave empty for all types. | | `agencies` | array | Optional. Filter by agency slug as used by the Federal Register (e.g. "environmental-protection-agency", "s... | | `fromDate` | string | Optional. Only include documents published on or after this date, in YYYY-MM-DD format (maps to conditions[... | | `maxResults` | integer | Maximum number of documents to return for each search term (or for the filter-only browse when no terms are... | ### Example output ```json { "type": "document", "scrapedAt": "2026-07-10T00:00:00Z", "documentNumber": "2026-03888", "title": "Air Plan Approval; Missouri; Reporting Emission Data, Emission Fees, and Process Information", "documentType": "Rule", "abstract": "The Environmental Protection Agency (EPA) is taking final action to approve revisions to the Missouri State Implementation Plan (SIP).", "action": "Final rule.", "agencies": [ "Environmental Protection Agency" ], "agencySlugs": [ "environmental-protection-agency" ], "publicationDate": "2026-02-26", "effectiveDate": "2026-03-30", "citation": "91 FR 9457", "docketIds": [ "EPA-R07-OAR-2025-2830", "FRL-13059-02-R7" ], "regulationIdNumbers": [], "presidentialDocumentNumber": null, "executiveOrderNumber": null, "signingDate": null, "htmlUrl": "https://www.federalregister.gov/documents/2026/02/26/2026-03888/air-plan-approval-missouri-reporting-emission-data-emission-fees-and-process-information", "pdfUrl": "https://www.govinfo.gov/content/pkg/FR-2026-02-26/pdf/2026-03888.pdf", "publicInspectionPdfUrl": "https://public-inspection.federalregister.gov/2026-03888.pdf?1772027121", "url": "https://www.federalregister.gov/documents/2026/02/26/2026-03888/air-plan-approval-missouri-reporting-emission-data-emission-fees-and-process-information", "query": "artificial intelligence" } ```` ### Use cases - Monitor news and media coverage - Track brands, topics, and competitors - Feed research and trend-analysis pipelines - Build alerting on breaking events ### Run it as a monitor (alerts on new federal register) Schedule this federal register scraper to run automatically — hourly, daily, or on any cron schedule — with the built-in [Apify Scheduler](https://docs.apify.com/platform/schedules), and have results pushed to you by **webhook, email, Slack, or your own app** the moment they're ready. It's the easiest way to **monitor federal register for changes over time** and get alerted the instant something new appears — no manual runs. Because pricing is per result, a scheduled monitor only ever charges you for the data each run actually returns. ### Pricing This actor uses **pay-per-result** pricing at **$0.0006 per record**. There is no monthly fee and no start fee — and **empty or failed runs cost $0**, so you only ever pay for data you actually receive. ### Frequently asked questions **Do I need an API key or account for the source?** No. This federal register scraper works out of the box with no API key required. **What happens if a run returns no results?** You are not charged. Billing is per result, so empty or failed runs are free. **Can I run the federal register scraper on a schedule?** Yes. Use the Apify Scheduler to run it hourly, daily, or on any cron schedule, and get results by webhook or API. **What export formats are supported?** Results can be exported as JSON, CSV, Excel, HTML, or pushed to Google Sheets, a database, or your own app via the Apify API. **Is the data structured?** Yes. Every federal register result is a clean, flat JSON record you can use immediately. # Actor input Schema ## `searchTerms` (type: `array`): Full-text search terms. Each term is run separately against the Federal Register full-text index (conditions\[term]). Example: \["artificial intelligence", "emission standards"]. Leave empty to browse purely by the filters below. ## `documentType` (type: `array`): Optional. Restrict results to one or more document categories. Leave empty for all types. ## `agencies` (type: `array`): Optional. Filter by agency slug as used by the Federal Register (e.g. "environmental-protection-agency", "securities-and-exchange-commission"). Find slugs at federalregister.gov/agencies. Multiple slugs are OR-combined. ## `fromDate` (type: `string`): Optional. Only include documents published on or after this date, in YYYY-MM-DD format (maps to conditions\[publication\_date]\[gte]). Example: 2026-01-01. ## `maxResults` (type: `integer`): Maximum number of documents to return for each search term (or for the filter-only browse when no terms are given). ## `maxCostUsd` (type: `integer`): HARD budget cap. The run stops cleanly before exceeding this. ## `proxyConfiguration` (type: `object`): This is an open API; no proxy needed. Default is fine. ## Actor input object example ```json { "searchTerms": [ "artificial intelligence" ], "maxResults": 50, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "searchTerms": [ "artificial intelligence" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("chrisp1211/federal-register-scraper-max").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 = { "searchTerms": ["artificial intelligence"], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("chrisp1211/federal-register-scraper-max").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 '{ "searchTerms": [ "artificial intelligence" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call chrisp1211/federal-register-scraper-max --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=chrisp1211/federal-register-scraper-max", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Federal Register Rules & Notices Scraper", "description": "Monitor US federal rules, proposed rules, notices and executive orders from the Federal Register. Search by term, agency and date. Returns title, type, agency, abstract and dates. No API key. Pay per document; empty runs free.", "version": "0.1", "x-build-id": "Vv0PshpkIDG53sD2M" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/chrisp1211~federal-register-scraper-max/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-chrisp1211-federal-register-scraper-max", "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/chrisp1211~federal-register-scraper-max/runs": { "post": { "operationId": "runs-sync-chrisp1211-federal-register-scraper-max", "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/chrisp1211~federal-register-scraper-max/run-sync": { "post": { "operationId": "run-sync-chrisp1211-federal-register-scraper-max", "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": { "searchTerms": { "title": "Search terms", "type": "array", "description": "Full-text search terms. Each term is run separately against the Federal Register full-text index (conditions[term]). Example: [\"artificial intelligence\", \"emission standards\"]. Leave empty to browse purely by the filters below.", "items": { "type": "string" } }, "documentType": { "title": "Document types", "type": "array", "description": "Optional. Restrict results to one or more document categories. Leave empty for all types.", "items": { "type": "string", "enum": [ "RULE", "PRORULE", "NOTICE", "PRESDOCU" ], "enumTitles": [ "Final Rule", "Proposed Rule", "Notice", "Presidential Document" ] } }, "agencies": { "title": "Agency slugs", "type": "array", "description": "Optional. Filter by agency slug as used by the Federal Register (e.g. \"environmental-protection-agency\", \"securities-and-exchange-commission\"). Find slugs at federalregister.gov/agencies. Multiple slugs are OR-combined.", "items": { "type": "string" } }, "fromDate": { "title": "Published on or after (YYYY-MM-DD)", "type": "string", "description": "Optional. Only include documents published on or after this date, in YYYY-MM-DD format (maps to conditions[publication_date][gte]). Example: 2026-01-01." }, "maxResults": { "title": "Max results per search term", "minimum": 1, "type": "integer", "description": "Maximum number of documents to return for each search term (or for the filter-only browse when no terms are given).", "default": 50 }, "maxCostUsd": { "title": "Max cost per run (USD)", "minimum": 1, "type": "integer", "description": "HARD budget cap. The run stops cleanly before exceeding this." }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "This is an open API; no proxy needed. Default is fine.", "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 } } } } } } } } } } ```