# Federal Register Monitor (`george.the.developer/federal-register-monitor`) Actor
Monitor the Federal Register for rules, proposed rules, notices, and presidential documents with normalized rows and full document detail.
- **URL**: https://apify.com/george.the.developer/federal-register-monitor.md
- **Developed by:** [George Kioko](https://apify.com/george.the.developer) (community)
- **Categories:** News
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN 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.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 Monitor
Pulls documents from the Federal Register and hands them back as clean JSON. Rules, proposed rules, notices, presidential documents. Filter by type, keyword, agency, or publication date. Ask for a single document number and you get the full detail with topics, the action line, the dates summary, and the full text URL.
Data comes straight from the public Federal Register API. No key, no proxy, no browser, no scraping tricks. Just JSON in, JSON out.
```mermaid
flowchart LR
A["Request
type / keyword / agency / date"] --> B{mode}
B -->|documents| C["Federal Register list API"]
B -->|search| D["Keyword search"]
B -->|document| E["Document detail API"]
C --> F["Normalize rows"]
D --> F
E --> G["Full detail
topics, dates, RINs"]
F --> H[("Dataset
rules + notices")]
G --> H
````
### Endpoints (standby)
- `GET /documents?type=&term=&agency=&since=&limit=` returns normalized document rows
- `GET /document?number=` returns one full document detail
- `GET /search?term=&limit=` returns documents matching a keyword
- `GET /` and `GET /health` return service info
`type` is one of `RULE`, `PRORULE`, `NOTICE`, `PRESDOCU`. `since` is an ISO date like `2026-01-01`. `limit` defaults to 25, capped at 100.
### Pricing (pay per event)
| Event | Price | When |
| --- | --- | --- |
| `actor-start` | $0.25 | once per batch run |
| `document` | $0.02 | per normalized document row returned |
| `full-text-brief` | $0.10 | per `/document` detail with full metadata |
Probe values like `test`, `ping`, and `example` return a mock and are never charged.
### Example curl
List recent FDA rules mentioning "drug":
```
curl "https:///documents?type=RULE&term=drug&agency=food-and-drug-administration&since=2026-01-01&limit=10"
```
Search by keyword:
```
curl "https:///search?term=tariff&limit=5"
```
Full detail for one document:
```
curl "https:///document?number=2026-11589"
```
### Output schema
Document row:
```json
{
"document_number": "2026-11589",
"title": "Medical Devices; ...",
"type": "Rule",
"abstract": "The Food and Drug Administration ...",
"agencies": ["Health and Human Services Department", "Food and Drug Administration"],
"publication_date": "2026-06-10",
"effective_date": "2026-06-10",
"html_url": "https://www.federalregister.gov/documents/2026/06/10/2026-11589/...",
"pdf_url": "https://www.govinfo.gov/content/pkg/FR-2026-06-10/pdf/2026-11589.pdf",
"fetched_at": "2026-06-10T00:00:00.000Z"
}
```
Detail adds:
```json
{
"topics": ["Medical devices"],
"action": "Final amendment; final order.",
"dates_summary": "This order is effective June 10, 2026. ...",
"regulation_id_numbers": [],
"full_text_url": "https://www.federalregister.gov/documents/full_text/xml/2026/06/10/2026-11589.xml"
}
```
### Batch mode
Run without standby by passing input fields: `mode` (`documents`, `document`, `search`), `type`, `term`, `agency`, `since`, `number`, `limit`. Results land in the dataset and the run exits.
### Flow
```mermaid
flowchart TD
A[Request] --> B{Path}
B -->|/documents| C[fetchDocuments]
B -->|/document| D[fetchDocumentDetail]
B -->|/search| E[searchDocuments]
C --> F[Federal Register list API]
E --> F
D --> G[Federal Register document API]
F --> H[Normalize rows]
G --> I[Normalize detail]
H --> J[pushData + charge document]
I --> K[pushData + charge full-text-brief]
J --> L[JSON response]
K --> L
```
# Actor input Schema
## `mode` (type: `string`):
Run mode for batch execution.
## `type` (type: `string`):
Federal Register document type filter.
## `term` (type: `string`):
Full text keyword to match, such as drug, tariff, or telehealth.
## `agency` (type: `string`):
Optional agency slug filter such as food-and-drug-administration.
## `since` (type: `string`):
Publication date floor such as 2026-01-01.
## `number` (type: `string`):
Federal Register document number for detail mode, such as 2026-11589.
## `limit` (type: `integer`):
Maximum documents to return.
## Actor input object example
```json
{
"mode": "documents",
"type": "RULE",
"term": "drug",
"since": "2026-01-01",
"limit": 25
}
```
# 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("george.the.developer/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 = {}
# Run the Actor and wait for it to finish
run = client.actor("george.the.developer/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 '{}' |
apify call george.the.developer/federal-register-monitor --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=george.the.developer/federal-register-monitor",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Federal Register Monitor",
"description": "Monitor the Federal Register for rules, proposed rules, notices, and presidential documents with normalized rows and full document detail.",
"version": "1.0",
"x-build-id": "RM75sXEP7JGO9Wtxv"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/george.the.developer~federal-register-monitor/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-george.the.developer-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/george.the.developer~federal-register-monitor/runs": {
"post": {
"operationId": "runs-sync-george.the.developer-federal-register-monitor",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/george.the.developer~federal-register-monitor/run-sync": {
"post": {
"operationId": "run-sync-george.the.developer-federal-register-monitor",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"mode": {
"title": "Mode",
"enum": [
"documents",
"document",
"search"
],
"type": "string",
"description": "Run mode for batch execution.",
"default": "documents"
},
"type": {
"title": "Document type",
"enum": [
"RULE",
"PRORULE",
"NOTICE",
"PRESDOCU"
],
"type": "string",
"description": "Federal Register document type filter.",
"default": "RULE"
},
"term": {
"title": "Keyword term",
"type": "string",
"description": "Full text keyword to match, such as drug, tariff, or telehealth.",
"default": "drug"
},
"agency": {
"title": "Agency slug",
"type": "string",
"description": "Optional agency slug filter such as food-and-drug-administration."
},
"since": {
"title": "Since date",
"type": "string",
"description": "Publication date floor such as 2026-01-01.",
"default": "2026-01-01"
},
"number": {
"title": "Document number",
"type": "string",
"description": "Federal Register document number for detail mode, such as 2026-11589."
},
"limit": {
"title": "Limit",
"minimum": 1,
"maximum": 100,
"type": "integer",
"description": "Maximum documents to return.",
"default": 25
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```