Federal Register Rule Effective-Date Radar
Pricing
$10.00 / 1,000 rules
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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Luke Hunter
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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)
- Open the Input tab (no Federal Register account or key needed — the source is public).
- Use this prefill for cybersecurity-related rules taking effect soon:
{"horizonDays": 60,"minDaysUntilEffective": 7,"searchTerm": "cybersecurity","significantOnly": false,"maxItems": 100}
- 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
- Set your
agencies/searchTerm/horizonDaysfilters, then click Schedule on the run page (or create one under Schedules in the Apify Console). - A daily or weekly schedule turns this into a lightweight regulatory horizon feed.
- Compare
documentNumberacross 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_ondate, 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
daysUntilEffectiveandderivedUrgencyfields 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
- Queries the public FederalRegister.gov API for documents of type
RULEin your effective-date window. - Applies optional agency, keyword, and significant-rule filters.
- Validates the source shape and deduplicates by official document number.
- Calculates days until the published effective date and a transparent planning band.
- Pushes at most
maxItemsrecords to the default dataset.
Input
| Field | Meaning | Default |
|---|---|---|
horizonDays | Latest effective date, days from run date | 90 |
minDaysUntilEffective | Earliest effective date, days from run date | 0 |
agencies | Optional Federal Register agency filters | all |
searchTerm | Optional full-text keyword/phrase | none |
significantOnly | Keep only source records marked significant | false |
maxItems | Hard output and billing cap | 250 |
{"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"}
| Field | Value (illustrative) |
|---|---|
title | Illustrative Final Rule |
agencies | Example Agency |
publicationDate / effectiveDate | 2026-09-15 / 2026-10-15 |
daysUntilEffective | 23 |
derivedUrgency | near_term |
citation | 91 FR 12345 |
regulationIdNumbers | 1234-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 ApifyClientclient = 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.
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