Layoff Tracker: Job Cuts and Restructuring News Feed
A week of layoff, job-cut and workforce-reduction stories as rows you can filter by company. The AI summary column needs your own OpenAI key.
What this run is set to
The settings saved on this example. Every one of them is editable once you open it on Apify — these are a starting point, not a limit.
| Setting | Value | What it does |
|---|---|---|
Search query | layoffs OR "job cuts" OR restructuring OR "workforce reduction" | Keywords to search Google News for (e.g. "electric vehicles", or advanced: "tesla OR rivian site:reuters.com"). |
Freshness | 7d | Only return articles newer than this (applied to query searches). |
Language (hl) | en-US | Interface/article language code, e.g. en-US, en-GB, fr, de, es-419. |
Country (gl) | US | Edition country code, e.g. US, GB, CA, DE, FR, IN. |
Max articles | 70 | Maximum number of articles to return (Google News feeds cap around 100 per query). |
Resolve real publisher URLs | on | Decode Google's redirect links into the actual article URL (e.g. reuters.com/...). |
Fetch full article text | off | Download each resolved article and extract its main body text. |
AI summary + sentiment (needs your OpenAI key) | off | Generate a 1-2 sentence summary and a sentiment label per article using OpenAI. |
Pricing
$0.003 per article = $3 per 1,000
| You are charged for | When | Price |
|---|---|---|
| Article returned | Per article. | $0.003 |
Pay-per-event pricing: you are billed per result, not per subscription. Billing is handled by Apify on your own account. These are the live Apify store prices, in effect since 2026-06-11, and they are what you are actually charged.
What you get
A structured dataset — each result includes fields like:
articleTextgoogleUrlpublishedAtquerysnippetsourcesourceUrltitletopicurlurlResolvedExport every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.
More use cases for Google News Scraper
- Try
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Built on Google News Scraper — every input, output field, price and the full how-to are on the tool page.
Where this tool sits
- Categories
- News & Finance Data
- Platforms