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Indiana WARN Notices Scraper

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from $2.16 / 1,000 item extracteds

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Indiana WARN Notices Scraper

Indiana WARN Notices Scraper

Export official Indiana DWD WARN layoff notices with employers, cities, affected workers, notice and layoff dates, industry and official document links.

Pricing

from $2.16 / 1,000 item extracteds

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Automation Lab

Automation Lab

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3 days ago

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Export Indiana WARN notices from the Indiana Department of Workforce Development's public current WARN table. Each dataset row identifies an employer, affected city and worker count, notice and layoff/closure dates, industry, type code, and an official document link when the state provides one. Run it on a schedule to compare snapshots of Indiana employer layoff filings.

Who is it for

Workforce planners can track where layoffs are announced; recruiters can prioritize affected regions; labor-market analysts can compare employers and industries across scheduled exports. This is a table export, not an email alert or a historical change feed.

Why use it

The Actor fetches the official DWD table directly, returns typed dates and numeric affected-worker counts, and retains both the source page and each available notice PDF link. A single successful request retrieves the full table rather than issuing a separate request for every employer. If a direct connection is unavailable, a bounded Apify proxy fallback retries the page.

Data fields

FieldMeaning
employer, cityCompany and affected Indiana location as listed by DWD.
affectedWorkersNumeric worker count, or null when not numeric.
noticeDate, layoffDateISO calendar dates; the latter may be null.
naics, industrySource NAICS code and description of work.
noticeTypeSource code (for example LO or CL); preserve the state's terminology.
noticeUrl, sourceUrlOptional official document and the current WARN table page.

Missing source values become null. An empty optional document cell is not filled with an invented link.

Getting started

  1. Leave the default input to export up to 100 of the newest listed notices.
  2. Increase maxItems to include older rows from the same current table, or set fromDate to restrict by notice date.
  3. Run the Actor and open the Dataset tab. Download JSON, CSV, or Excel from Apify.
  4. Schedule repeat runs and compare stable fields such as employer, notice date, city, and affected workers to detect changes in the public table.

Input

{"maxItems": 5, "fromDate": "2026-01-01", "employer": "Manufacturing"}

All fields are optional. maxItems defaults to 100 and accepts 1–10,000. fromDate uses inclusive YYYY-MM-DD notice date, not layoff date. employer is a case-insensitive substring with a maximum length of 100 characters. Filters run before the result limit. A filter with no matches returns an empty dataset successfully.

Output example

A representative current source row (observed September 2026; the notice link may change upstream):

{
"employer": "PMG Indiana",
"city": "Columbus",
"affectedWorkers": 150,
"noticeDate": "2026-09-02",
"layoffDate": "2026-12-31",
"naics": "336110",
"industry": "Automobile and Light Duty Motor Vehicle Manufacturing",
"noticeType": "CL",
"noticeUrl": "https://www.in.gov/dwd/files/warnnotices/WARN%20notice-%20Packagin%20Corp%20of%20America.pdf?language_id=1",
"sourceUrl": "https://www.in.gov/dwd/warn-notices/current-warn-notices/"
}

The source's first-row document filename does not match its displayed employer in the observed HTML. We preserve the state's link without claiming it belongs to the employer; verify the linked PDF before relying on it.

How much does it cost to export Indiana WARN notices?

Pricing uses a one-time start charge of $0.005 and an item charge per exported row. BRONZE is $0.0036 per row; FREE $0.00414, SILVER $0.002808, and GOLD/PLATINUM/DIAMOND $0.00216. These are monthly Apify Store spend tiers, not quantity discounts per run. At BRONZE, 1/5/10/25/100 exported rows cost approximately $0.0086/$0.023/$0.041/$0.095/$0.365 including the start event. An empty filtered run still incurs the start charge. Platform usage and billing adjustments can vary. Estimated payouts are not guaranteed and may be reduced by refunds, fraud, disputes, taxes, corrections or clawbacks.

Reading date and type fields

noticeDate is the date shown in the official Notice Date column. layoffDate is the LO/CL Date column, not a calculated date or an assertion that an event has already occurred. noticeType retains DWD's short code rather than guessing the full legal classification. Worker counts reflect the row, not a sum across locations or employers.

When comparing scheduled exports, keep the input consistent across runs. Filtering by a recent fromDate can hide older records revised by the state. To detect edits to older rows, use a broader window and compare both row identity and field values. The source does not supply a durable row ID, so two filings by the same employer/date/city may require manual verification. An occasional source-side PDF filename mismatch must not be treated as a parser correction.

Integrations

Use Apify's dataset integrations to send rows into Google Sheets, a data warehouse, or an ETL job. Keep a snapshot per run for recurring analysis. Compare source fields across runs: this Actor does not store state or send notifications itself.

API: cURL

curl -X POST 'https://api.apify.com/v2/acts/automation-lab~indiana-warn-layoff-notices/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN' \
-H 'Content-Type: application/json' -d '{"maxItems":5}'

Avoid exposing your token in shared scripts or logs. For larger exports, start an asynchronous run and fetch its default dataset after success.

API: JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/indiana-warn-layoff-notices').call({ maxItems: 5 });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

API: Python

import os
from apify_client import ApifyClient
client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('automation-lab/indiana-warn-layoff-notices').call(run_input={'maxItems': 5})
items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

MCP

Install the actor-specific tool in Claude Code:

$claude mcp add --transport http apify 'https://mcp.apify.com?tools=automation-lab/indiana-warn-layoff-notices'

Claude Desktop, Cursor, and VS Code MCP clients can use this HTTP configuration (adjust the client-specific wrapper where necessary):

{"mcpServers":{"apify":{"type":"http","url":"https://mcp.apify.com?tools=automation-lab/indiana-warn-layoff-notices"}}}

Example prompts using MCP: “Use the Apify MCP tool to run automation-lab/indiana-warn-layoff-notices with maxItems=5 and summarize employer, city, workers and dates.” “Use the Apify MCP tool to run the Actor with employer=Manufacturing and fromDate=2026-01-01.” Review citations against the original state links.

Coverage and limits

The source is the state-maintained Current WARNs page, which currently includes older entries too; this is not a guarantee of complete historical archives or real-time publication. There is no arbitrary URL mode, no other states, no private filings, no PDF text extraction, and no guaranteed link on every row. Output follows what DWD publishes. The source may edit, remove, or mislabel entries; rows do not have stable official IDs.

Failures and troubleshooting

If DWD changes table columns or returns no usable rows, the Actor fails instead of quietly returning false empty output. Retry after confirming that the official page loads and its column headings are intact. A valid no-match employer or date filter intentionally produces no rows; remove filters to test coverage. Malformed date or result limit inputs fail before the fetch. The HTTP implementation has a 30-second request timeout and bounded direct-then-proxy transport retries. The fallback may increase platform proxy usage cost.

Legality and responsible use

These are publicly accessible government records. Respect state usage rules and privacy requirements; do not infer a person's employment status from a company-level WARN filing. Verify consequential decisions with DWD or the original notice document. No login or personal data collection is needed.

FAQ

Does the Actor email new filings? No. Schedule runs and compare datasets or connect an Apify integration for your own alerts.

Does the PDF link always match the employer? No. The state table can contain mismatched or empty document cells. Links are reproduced as published, not verified by downloading each PDF.

Why did I receive zero rows? Check fromDate and employer; run with { "maxItems": 5 } to confirm current source coverage.

Support and retention

Results are stored in the run's Apify dataset according to your Apify account's storage and retention policy. No separate Actor cache, cookie pool or PDF archive is retained. A fallback request can route the public DWD URL through Apify's proxy. Consult the Actor's Apify Issues tab for technical support; include a run link and non-sensitive input when reporting a problem.

For broader regulatory monitoring, Federal Register Rules & Notices exports federal notices, not state WARN filings. Use it only when a federal regulatory feed is relevant to your workflow.