
Layoff Early Warning — WARN Act Filings, Watchlisted
Aggregates official state WARN Act mass-layoff filings (60-days'-notice legal filings) — currently CA and TX, both live structured sources — and matches them against your company watchlist, ranked by headcount severity. Recruiters, journalists, and diligence teams check this by hand today.
Layoff Early Warning — WARN Act Filings, Watchlisted returns 13 documented output fields, including company, state, county, noticeDate and effectiveDate. Every field carries a declared type, a written description and an example value. 22 runs are recorded on Apify.
- 13
- Output fields
- 3
- Inputs
- 22
- Runs
- 2026-10-16
- Last run
01 — output
What it returns
Every field the extractor writes to its dataset, with its type, a written description and an example value.
| Field | Type | What it holds | Example |
|---|---|---|---|
| company | stringnull | Company name as the source writes it. | Northwind Traders |
| state | stringnull | State, province or region name. | active |
| county | stringnull | County name. | Travis |
| noticeDate | stringnull | Date the notice was issued. | <noticeDate> |
| effectiveDate | stringnull | ISO 8601 date the record takes effect. | <effectiveDate> |
| layoffType | stringnull | Layoff Type as recorded for this row. | <layoffType> |
| employeeCount | integernull | Employee Count as recorded for this row. | 0 |
| severity | stringnull | Severity as classified by the source. | moderate |
| address | stringnull | Street address as published. | <address> |
| industry | stringnull | Industry classification as the source publishes it. | <industry> |
| matchedWatchlistEntry | stringnull | Sanctions or watchlist entry that matched this record. | Northwind Trading FZE |
| status | stringnull | Outcome recorded for this row. | ok |
| verdict | stringnull | The Actor's conclusion for this row, stated in words. | pass |
02 — sample
One record
Assembled from the example values declared on the schema above, not invented at render time.
{
"company": "Northwind Traders",
"state": "active",
"county": "Travis",
"noticeDate": "<noticeDate>",
"effectiveDate": "<effectiveDate>",
"layoffType": "<layoffType>",
"employeeCount": 0,
"severity": "moderate"
}03 — input
What you give it
| Input | Type | Description |
|---|---|---|
| watchlist | arrayoptional | Company names to watch for in new WARN Act filings, e.g. Genentech, JPMorgan Chase. Leave empty to return every current filing instead of matching a watchlist. |
| states | arrayoptional | Which states to check. Currently CA and TX have live structured data sources; other states publish only as records requests or unstructured PDFs and are not yet covered. |
| maxItems | integeroptional | Hard cap on items returned. You are never charged beyond this. |
04 — run
Run Layoff Early Warning on your own input
It runs in the cloud on Apify. Nothing to install, and you are billed per result returned rather than per attempt.
05 — questions
Asked before running it
12 of 13 fields described
- What does Layoff Early Warning — WARN Act Filings, Watchlisted return?
- It returns 13 documented output fields: company, state, county, noticeDate, effectiveDate, layoffType, employeeCount, severity, address, industry, matchedWatchlistEntry and status. Each field declares its type, a description of what it holds, and an example value. The remaining 1 are listed in the output schema below.
- What input does Layoff Early Warning — WARN Act Filings, Watchlisted take?
- All 3 inputs are optional and ship with usable defaults, so it runs as-is. They are listed with their types below.
- Does Layoff Early Warning — WARN Act Filings, Watchlisted need an API key or login?
- No. None of its inputs is a credential, and it reads only public data. Nothing to sign up for before the first run.
- How do I run Layoff Early Warning — WARN Act Filings, Watchlisted?
- It runs on Apify. Start it from its listing with the inputs above, or call the Apify API with the Actor's ID. Results land in a dataset you can export as JSON, CSV or Excel, or read through the Apify API into your own pipeline.