# US Federal Register Rule Event Watch (`nexgenwatch/us-federal-register-rule-event-watch`) Actor - **URL**: https://apify.com/nexgenwatch/us-federal-register-rule-event-watch.md - **Developed by:** [NexGen Watch](https://apify.com/nexgenwatch) (community) - **Categories:** Business, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.40 / 1,000 rule event deltas This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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 ## US Federal Register Rule Event Watch Rules, proposed rules and notices as they publish in the Federal Register. ### Source Federal Register API v1 documents (public, logged-out) - https://www.federalregister.gov/api/v1/documents.json Public, logged-out only — no API key, login, cookie or CAPTCHA. ### Pricing (staging state) | Event | Price (FREE tier) | |---|---| | Actor start (`apify-actor-start`) | $0.02 one-time | | Source check (`source-check`) | $0.10 | | Rule event delta (`rule-event-delta`) — **primary** | $0.0050 | `source-check` ladder, GOLD-floored: **$0.10 / $0.09 / $0.08 / $0.067**. Charged once per run after the source enumeration terminates — seed runs and genuine-zero runs included. Value-event ladder, GOLD-floored: **$0.0050 / $0.0045 / $0.0040 / $0.0034**. Charged once per **emitted delta**. A seed run, a run with no changes, and a snapshot run all charge no value event — this is a change-detection feed, not an item export. ### Snapshot mode is a PREVIEW `watch_mode: false` returns a **preview only**: at most **25 records**, hard-capped in code regardless of `max_items`. Preview records carry `output_mode: "preview"` with `preview_cap` and `preview_truncated`. It charges no value event. This actor sells change detection, not bulk record export — use watch mode for the feed. ### Watch semantics The first watch run stores a private baseline and emits **zero** deltas. Later runs emit `NEW` / `CHANGED` / `REMOVED` keyed on the source-native id, with `before` / `after` and `changed_fields`. ### Terminal states `NORMAL` · `SUCCEEDED-0: GENUINE_EMPTY` · `PARTIAL` · `BLOCKED`. A zero with no evidence FAILS loud rather than exiting 0 quietly. # Actor input Schema ## `doc_types` (type: `array`): Any of RULE, PRORULE, NOTICE, PRESDOCU. ## `agencies` (type: `array`): Optional Federal Register agency slugs. ## `term` (type: `string`): Optional full-text term. ## `watch_mode` (type: `boolean`): First run seeds a private baseline and emits ZERO deltas. ## `baseline_id` (type: `string`): Names the private baseline. ## `max_items` (type: `integer`): Hard cap on documents emitted (bounds runtime). ## Actor input object example ```json { "doc_types": [ "RULE" ], "agencies": [], "term": "", "watch_mode": true, "baseline_id": "default", "max_items": 40 } ```` # 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 = { "doc_types": [ "RULE" ], "agencies": [], "term": "", "watch_mode": false, "baseline_id": "default", "max_items": 40 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgenwatch/us-federal-register-rule-event-watch").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 = { "doc_types": ["RULE"], "agencies": [], "term": "", "watch_mode": False, "baseline_id": "default", "max_items": 40, } # Run the Actor and wait for it to finish run = client.actor("nexgenwatch/us-federal-register-rule-event-watch").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 '{ "doc_types": [ "RULE" ], "agencies": [], "term": "", "watch_mode": false, "baseline_id": "default", "max_items": 40 }' | apify call nexgenwatch/us-federal-register-rule-event-watch --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgenwatch/us-federal-register-rule-event-watch", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "US Federal Register Rule Event Watch", "version": "0.1", "x-build-id": "09nhVD3QubbFHorOb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgenwatch~us-federal-register-rule-event-watch/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgenwatch-us-federal-register-rule-event-watch", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgenwatch~us-federal-register-rule-event-watch/runs": { "post": { "operationId": "runs-sync-nexgenwatch-us-federal-register-rule-event-watch", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgenwatch~us-federal-register-rule-event-watch/run-sync": { "post": { "operationId": "run-sync-nexgenwatch-us-federal-register-rule-event-watch", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "doc_types": { "title": "Document types", "type": "array", "description": "Any of RULE, PRORULE, NOTICE, PRESDOCU.", "items": { "type": "string" }, "default": [ "RULE" ] }, "agencies": { "title": "Agency slugs", "type": "array", "description": "Optional Federal Register agency slugs.", "items": { "type": "string" }, "default": [] }, "term": { "title": "Search term", "type": "string", "description": "Optional full-text term.", "default": "" }, "watch_mode": { "title": "Watch mode", "type": "boolean", "description": "First run seeds a private baseline and emits ZERO deltas.", "default": true }, "baseline_id": { "title": "Baseline id", "type": "string", "description": "Names the private baseline.", "default": "default" }, "max_items": { "title": "Max items", "type": "integer", "description": "Hard cap on documents emitted (bounds runtime).", "default": 200 } } }, "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 } } } } } } } } } } ```