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Federal Register Rule Effective-Date Radar

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$10.00 / 1,000 rules

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Federal Register Rule Effective-Date Radar

Federal Register Rule Effective-Date Radar

Track final U.S. federal rules from the Federal Register approaching their published effective date, filterable by agency, keyword, and planning horizon, for compliance teams.

Pricing

$10.00 / 1,000 rules

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Developer

Luke Hunter

Luke Hunter

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2 hours ago

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Federal Register Rule Effective-Date Radar — Upcoming US Compliance Deadlines

For compliance teams, consultants, legal ops and vendors serving regulated industries who need a repeatable regulatory horizon-scanning feed. One run returns final federal rules approaching their published effective date, with agency, citation, docket and a planning-urgency band. Pay-per-result: $0.01 per delivered rule — 100 rules = $1.00. You pay only for results delivered, capped by maxItems. Try it free with Apify's monthly platform credit.

Instead of dumping every notice and proposed rule, this Actor focuses on the operational question: which final rules become effective soon, who issued them, and how much planning time remains?

Quick start (2 minutes)

  1. Open the Input tab (no Federal Register account or key needed — the source is public).
  2. Use this prefill for cybersecurity-related rules taking effect soon:
{
"horizonDays": 60,
"minDaysUntilEffective": 7,
"searchTerm": "cybersecurity",
"significantOnly": false,
"maxItems": 100
}
  1. Click Start. Export the resulting rule list to CSV/JSON, or pull it via the API shown below into your compliance tracker.

Use cases

  • Compliance teams monitoring rules entering force in the next 30/60/90 days for their industry.
  • Consultants and legal ops building client-specific regulatory digests without manually reading the Federal Register.
  • Regulatory software and GRC teams using the output as structured source material for their own tooling.
  • Vendors serving regulated industries treating upcoming rule effective dates as a business-development signal.

Run it weekly

  1. Set your agencies/searchTerm/horizonDays filters, then click Schedule on the run page (or create one under Schedules in the Apify Console).
  2. A daily or weekly schedule turns this into a lightweight regulatory horizon feed.
  3. Compare documentNumber across runs (it's stable) to route newly appearing rules into email, Slack, a GRC tool or an analyst queue, rather than re-reviewing the whole list each time.

Why use this Actor?

  • Focus on final rules with a real published effective_on date, not general regulatory news.
  • Filter by planning horizon, agency, keyword, and the Federal Register's significant flag.
  • Get export-friendly records with official document links, citations, RINs, docket IDs, and dates.
  • Use derived daysUntilEffective and derivedUrgency fields for triage without pretending to provide legal advice or an impact assessment.
  • Schedule daily or weekly runs to maintain a lightweight US regulatory horizon-scanning workflow.

How it works

  1. Queries the public FederalRegister.gov API for documents of type RULE in your effective-date window.
  2. Applies optional agency, keyword, and significant-rule filters.
  3. Validates the source shape and deduplicates by official document number.
  4. Calculates days until the published effective date and a transparent planning band.
  5. Pushes at most maxItems records to the default dataset.

Input

FieldMeaningDefault
horizonDaysLatest effective date, days from run date90
minDaysUntilEffectiveEarliest effective date, days from run date0
agenciesOptional Federal Register agency filtersall
searchTermOptional full-text keyword/phrasenone
significantOnlyKeep only source records marked significantfalse
maxItemsHard output and billing cap250
{
"horizonDays": 60,
"minDaysUntilEffective": 7,
"searchTerm": "cybersecurity",
"significantOnly": false,
"maxItems": 100
}

Output

Each row represents one official Federal Register document. Important fields include documentNumber, title, agencies, publicationDate, effectiveDate, daysUntilEffective, derivedUrgency, significant, abstract, citation, regulationIdNumbers, docketIds, htmlUrl, and pdfUrl.

Output example

Illustrative only — values below are not presented as a validated live record:

{
"documentNumber": "2026-12345",
"title": "Illustrative Final Rule",
"agencies": ["Example Agency"],
"publicationDate": "2026-09-15",
"effectiveDate": "2026-10-15",
"daysUntilEffective": 23,
"derivedUrgency": "near_term",
"significant": false,
"citation": "91 FR 12345",
"regulationIdNumbers": ["1234-AA00"],
"docketIds": ["EXAMPLE-2026-001"],
"htmlUrl": "https://www.federalregister.gov/",
"sourceType": "Federal Register final rule"
}
FieldValue (illustrative)
titleIllustrative Final Rule
agenciesExample Agency
publicationDate / effectiveDate2026-09-15 / 2026-10-15
daysUntilEffective23
derivedUrgencynear_term
citation91 FR 12345
regulationIdNumbers1234-AA00

How the data is transformed

Source facts remain source facts. effectiveDate, title, agency, citation, significance, RINs, docket IDs, and URLs come from FederalRegister.gov. The Actor derives only two key planning fields: daysUntilEffective, calculated from the run date, and derivedUrgency, a deterministic band (imminent 0–7 days, near_term 8–30, planning_window 31–90, longer_horizon 91+). These are workflow aids, not legal conclusions about applicability, materiality, or required actions.

API usage

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("YOUR_ACTOR_ID").call(run_input={
"horizonDays": 90,
"searchTerm": "Medicare",
"maxItems": 100,
})
items = list(client.dataset(run["defaultDatasetId"]).iterate_items())

Data source and trust

The source is the public FederalRegister.gov API operated for the US Federal Register. No login, browser session, CAPTCHA bypass, or private data is required. The Actor links every record back to the official document page when the API supplies it.

Reliability and data quality

Built-in quality checks detect malformed or degraded source responses and reject data that no longer resembles expected Federal Register records instead of quietly treating it as valid. Requests use timeouts plus bounded retry/backoff for transient failures, pagination is bounded, document numbers are deduplicated, and maxItems is a hard delivery cap.

Individual records can still have fields the source does not provide. Missing values are returned as null (or an empty identifier list) rather than guessed.

Pricing and cost control

$0.01 per delivered rule (100 rules = $1.00); the billable event is one delivered rule. maxItems caps both output and potential billable events. Failed requests, retries, malformed/rejected records, and empty results are not billable. A run-state ledger prevents the same delivered count from being charged twice after an Actor restart/migration.

Important limitations

This is regulatory-intelligence infrastructure, not legal advice. A published effective date does not prove a rule applies to a particular organization, and some rules may later be amended, delayed, stayed, corrected, or superseded. Users should review the official document and subsequent Federal Register activity before making compliance decisions. Agency filter semantics depend on values accepted by the Federal Register API.

FAQ

Does this include proposed rules and notices? No. The product intentionally focuses on final-rule documents (RULE) with effective dates.

Does it tell me what my company must do? No. It supplies structured official rule metadata and transparent timing fields; applicability and obligations require appropriate subject-matter/legal review.

Can I monitor one topic? Yes. Use searchTerm, and optionally agency filters, then schedule repeat runs.

Is this affiliated with the Federal Register or US government? No. This independent Actor uses the public FederalRegister.gov API and links to official source records.

Other data tools from the same developer, built to the same standard: official or public sources, hard cost caps, and honest documentation of limits.