Monitor New US Regulations by Agency

A useful monitor remembers what it saw. The Federal Register Scraper supplies structured snapshots from the official Federal Register documents API; your workflow decides what counts as a change.

Define the state

Use document number as the stable key; alert on newly published rules, proposed rules, notices, and presidential documents. Save the input beside each snapshot so a query change is not mistaken for a source change. Schedule the saved Apify Task at the source's actual update cadence. Hourly polling is wasteful for a feed that changes daily.

On each successful run:

1. Load the previous successful dataset.
2. Join on document_number.
3. Separate new records, changed records, and records that disappeared.
4. Alert only after applying the business filters.
5. Retain the raw snapshot and run ID for investigation.

Do not replace the previous snapshot after a failed or empty run. An upstream outage otherwise looks like mass deletion.

Keep alerts useful

Use document_number for idempotency and retain docket_ids for downstream joins. Send proposed rules to a comment-deadline queue, final rules to compliance owners, and notices to topic-specific watchers.

Alert payloads should include the source identifier, the fields that changed, the old and new values, and a direct source URL. That is enough for an owner to verify the event without opening the raw dataset.

A search result is not a legal conclusion. Proposed rules, final rules, and notices have different effects. Preserve document type and official links so counsel or policy owners can review the actual publication.

Measure alert precision for the first few weeks. If reviewers repeatedly dismiss the same pattern, tighten the source query or the routing rule. Hiding noise after it enters the alert channel is harder than excluding it at collection time.