Federal Register Scraper: how to get Rules, Proposed Rules, Notices as JSON/CSV (API, Python, no code)

Q: How do I use the Federal Register Scraper from Python?

Install the apify-client package, create a client with your Apify API token, call the Actor v0iddo/federal-register-tracker with an input like the one above, and read the rows from the run's dataset. The Python snippet above does exactly that.

Q: How do I limit the number of results?

Set the maxResults input field to the number of results you need; the run stops there, so it also caps the cost of one run. You can also set a maximum cost for a run in the run options on Apify, and the run stops when it is reached.

Pull Federal Register articles filtered by agency, document type, date range, significant-rule flag, or full-text query. This guide shows the output fields, a working input, and Python, JavaScript and cURL code for the Actor v0iddo/federal-register-tracker on Apify.

Open Federal Register Scraper on Apify

What data you get

One row per result. Every row can be downloaded as JSON, CSV, Excel or HTML, or read through the API.

Field	Label	Type	Example
`snapshotAt`	Snapshot At	date	2026-10-26T04:34:24+00:00
`documentNumber`	Document Number	text	2026-21622
`title`	Title	text	Virginia: Approval of State Coal Combustion Residuals Permit Program
`type`	Type	text	Rule
`subtype`	Subtype	text
`action`	Action	text	Availability of final decision.
`abstract`	Abstract	text	The Environmental Protection Agency (EPA or the Agency) is approvin...
`publicationDate`	Publication Date	date	2026-10-22
`signingDate`	Signing Date	text
`effectiveOn`	Effective On	date	2026-11-23
`commentsCloseOn`	Comments Close On	date
`agencies`	Agencies	list	["environmental-protection-agency"]
`agencyNames`		list	["Environmental Protection Agency"]
`cfrReferences`		list	["40 CFR 257"]
`presidentName`		text	Donald Trump
`htmlUrl`		text	https://www.federalregister.gov/documents/2026/10/22/2026-21622/vir...
`pdfUrl`		text	https://www.govinfo.gov/content/pkg/FR-2026-10-22/pdf/2026-21622.pdf
`jsonUrl`		text	https://www.federalregister.gov/api/v1/documents/2026-21622?publica...

Input example

This is the input that is pre-filled on the Actor page. Change the values for your own run.

{
  "maxResults": 20
}

Input field	Type	What it does
`agencies`	array	Restrict to these agency slugs.
`types`	array	Restrict to these document types.
`query`	string	Optional full-text search across title, abstract, and full text.
`publicationDateFrom`	string	Lower bound for publication date.
`publicationDateTo`	string	Upper bound for publication date.
`significantOnly`	boolean	If true, restricts to documents flagged 'significant' under E.O.
`maxResults`	integer	Stop after this many articles.

Output sample

Real rows from a run of the Actor. Fields that name people are left out of the sample.

[
  {
    "snapshotAt": "2026-10-26T04:34:24+00:00",
    "documentNumber": "2026-21622",
    "title": "Virginia: Approval of State Coal Combustion Residuals Permit Program",
    "type": "Rule",
    "action": "Availability of final decision.",
    "abstract": "The Environmental Protection Agency (EPA or the Agency) is approving Virginia's coal combustion residuals (CCR) permit program under the...",
    "publicationDate": "2026-10-22",
    "effectiveOn": "2026-11-23",
    "agencies": [
      "environmental-protection-agency"
    ],
    "agencyNames": [
      "Environmental Protection Agency"
    ],
    "cfrReferences": [
      "40 CFR 257"
    ],
    "presidentName": "Donald Trump",
    "htmlUrl": "https://www.federalregister.gov/documents/2026/10/22/2026-21622/virginia-approval-of-state-coal-combustion-residuals-permit-program",
    "pdfUrl": "https://www.govinfo.gov/content/pkg/FR-2026-10-22/pdf/2026-21622.pdf",
    "jsonUrl": "https://www.federalregister.gov/api/v1/documents/2026-21622?publication_date=2026-10-22"
  },
  {
    "snapshotAt": "2026-10-26T04:34:24+00:00",
    "documentNumber": "2026-21603",
    "title": "Nevada: Codification and Incorporation by Reference of Approved Underground Storage Tank Program",
    "type": "Rule",
    "action": "Direct final rule.",
    "abstract": "On September 30, 2021, the State of Nevada (Nevada) received final approval, from the Environmental Protection Agency (EPA), of revisions...",
    "publicationDate": "2026-10-22",
    "effectiveOn": "2026-12-21",
    "commentsCloseOn": "2026-11-23",
    "agencies": [
      "environmental-protection-agency"
    ],
    "agencyNames": [
      "Environmental Protection Agency"
    ],
    "topics": [
      "Administrative practice and procedure",
      "Environmental protection",
      "Hazardous substances"
    ],
    "cfrReferences": [
      "40 CFR 282"
    ],
    "presidentName": "Donald Trump",
    "htmlUrl": "https://www.federalregister.gov/documents/2026/10/22/2026-21603/nevada-codification-and-incorporation-by-reference-of-approved-undergroun...",
    "pdfUrl": "https://www.govinfo.gov/content/pkg/FR-2026-10-22/pdf/2026-21603.pdf",
    "jsonUrl": "https://www.federalregister.gov/api/v1/documents/2026-21603?publication_date=2026-10-22",
    "regulationsDotGovUrl": "http://www.regulations.gov/commenton/EPA-R09-UST-2025-0703-0001"
  }
]

Code: Python, JavaScript and cURL

Get your API token in Apify Console under Settings, then Integrations. The Actor id is v0iddo/federal-register-tracker.

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {'maxResults': 20}

run = client.actor("v0iddo/federal-register-tracker").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const input = {
  "maxResults": 20
};

const run = await client.actor('v0iddo/federal-register-tracker').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

cURL

curl -X POST "https://api.apify.com/v2/acts/v0iddo~federal-register-tracker/run-sync-get-dataset-items" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"maxResults": 20}'

Price

$0.10 per 1,000 results. You pay per result row. There is no separate charge per run. Higher Apify plans pay less per result, down to $0.07 per 1,000. See the pricing tab for your plan. A new Apify account gets $5 of platform credit every month.

FAQ

What data does the Federal Register Scraper return?

Each result is one row in an Apify dataset. Fields include snapshotAt, documentNumber, title, type, subtype, action, abstract, publicationDate, and more. The table above shows every field with an example value.

How do I use the Federal Register Scraper from Python?

Install the apify-client package, create a client with your Apify API token, call the Actor v0iddo/federal-register-tracker with an input like the one above, and read the rows from the run's dataset. The Python snippet above does exactly that.

Can I use it without writing code?

Yes. Open the Actor page on Apify, fill in the input form (an example is already filled in), press Start, and download the results as JSON, CSV, Excel or HTML. You can also schedule runs there.

How much does it cost?

$0.10 per 1,000 results. You pay per result row. There is no separate charge per run. Higher Apify plans pay less per result, down to $0.07 per 1,000. A new Apify account gets $5 of platform credit every month.

How do I limit the number of results?

Set the maxResults input field to the number of results you need; the run stops there, so it also caps the cost of one run. You can also set a maximum cost for a run in the run options on Apify, and the run stops when it is reached.

Can I send the results to Google Sheets, Make, Zapier or n8n?

Yes. Apify datasets connect to Google Sheets, Slack, Make, Zapier and n8n, and a webhook can call your own service when a run finishes. You can also export the dataset as JSON, CSV or Excel.

Open Federal Register Scraper on Apify

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