# Layoff Tracker (`zinin/layoff-tracker`) Actor Track recent tech layoffs by company name or sector (e.g. "fintech", "AI") straight from Google News — a demand and recruiting signal. No login, no scraping, no proxies. Returns matched headlines, mention count and a one-line summary per query. - **URL**: https://apify.com/zinin/layoff-tracker.md - **Developed by:** [Tim Zinin](https://apify.com/zinin) (community) - **Categories:** News, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 layoff founds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Layoff Tracker — Recent Layoffs by Company or Sector Know who's cutting jobs before your competitor's SDR does. Give this Actor a list of company names or sectors and it returns the recent layoff-news coverage on each — headline, link, publish date and source — straight from Google News, no login and no scraping of paywalled trackers. ### What you get - **A layoff signal, not a guess.** Sourced headlines — title, link, publish date, outlet — not just a bare mention count. - **A buying and recruiting signal in one feed.** A company that just cut jobs either needs new tools/vendors or has talent freshly on the market; sales and recruiting teams read the same rows for different reasons. - Search by company name (`"Google"`) or a whole sector (`"fintech"`, `"AI"`) — several queries in the same run. - A rolled-up `mentionCount` and a one-line human-readable `summary` per query. - Lookback window you control, 1–365 days. - Runs on Apify: schedule it, monitor it, call it from the API or the MCP server, export to JSON, CSV or Excel, or push results straight into your own pipeline. ### How to run it 1. Click **Try for free** — no card needed on the free plan. 2. Paste company names or sectors into **Companies or sectors**, one per line — e.g. `Google`, `fintech`. 3. Hit **Start** and pull the mentions from the dataset (UI, API or webhook). ### Pricing Pay-per-event: **$0.005 per run start + $0.004 per result**. No monthly seat. 100 results cost about **$0.41**; 1,000 results about **$4.01**. A query with no layoff mentions in the window still returns a row saying so — and is **not** charged. You only pay for a query that actually surfaces news. ### Input | Field | Required | What it does | |---|---|---| | `queries` | yes | Company names or sectors, one per row. Up to 25 per run. | | `sinceDays` | no | Lookback window in days (1–365, default 90). | | `maxConcurrency` | no | How many queries to check in parallel (1–10, default 4). | ```json { "queries": ["tech", "fintech"] } ``` ### Output One row per query. This is a real row from a real run, trimmed only where the list of matched headlines repeats: ```json { "sourceQuery": "fintech", "found": true, "layoffMentions": [ { "title": "Amazon Lays Off Staff in Artificial General Intelligence Division", "link": "https://news.google.com/rss/articles/CBMiYEFVX3lxTE10Tm1LcF8zNjJSQXdCU3h0OFNPT2hRdFNaeXZ6N3ZNcVFRR1lRR0g0aE92aG9JMUhNUm40Z2V4cTZzSThJMjFhVE1zN3RpT3ZycmNHd3pTSHhLSVVSNGRnaQ?oc=5", "pubDate": "2026-07-23T06:23:33.000Z", "source": "Fintech Singapore" }, { "title": "StashAway Reportedly Cuts 14% of Workforce, Sources Claim", "link": "https://news.google.com/rss/articles/CBMimAFBVV95cUxOTWQ2cjRBVDVQSlhyX3gxT3dwWDc2cjFMSUllTmxucGJReW92MW8tX09uTjRZbHRTeThxZHlnLWZ6THBWSFdCN2tfUFFhRE9naHl0TDFVRGJ4anFBZmwwVVFNU3JPajhwUnB2UG5DLWpmcVZ0YWxXUHp0Vy1ZOTZVZFpaTEh4Rm5rN08yNi1FbWVXNHM5R0pqNQ?oc=5", "pubDate": "2026-07-07T07:00:00.000Z", "source": "Fintech Singapore" }, "… 50 more mentions, newest-first" ], "mentionCount": 52, "summary": "fintech: 52 layoff mentions in the last 90d. Latest: \"Amazon Lays Off Staff in Artificial General Intelligence Division\" (Fintech Singapore, 2026-07-23).", "checkedAt": "2026-07-26T13:19:33.382Z" } ``` | Field | What it means | |---|---| | `sourceQuery` | The company/sector you passed | | `found` | Whether any layoff-news mention turned up in the window | | `layoffMentions` | Matched headlines with title, link, pubDate, source | | `mentionCount` | Count of `layoffMentions` | | `summary` | Human-readable one-liner | #### Need the rest of the picture? These run on the same account, take the same shape of input and bill the same way, so they slot into an existing pipeline without new plumbing. | Actor | What it does | |---|---| | [Company Hiring Radar](https://apify.com/zinin/company-hiring-radar) | Pull every open role a company is hiring for from its public job board (Greenhouse, Lever, Ashby) and turn… | | [Insider Trading Tracker](https://apify.com/zinin/insider-trading-tracker) | Track insider stock trades — SEC Form 3/4/5 filings — for any list of tickers | | [SEC Filing Watcher](https://apify.com/zinin/sec-edgar-watcher) | Watch stock tickers for new SEC filings — 10-K, 10-Q, 8-K, S-1 and more | | [AI Crawler Access Checker](https://apify.com/zinin/ai-crawler-access-checker) | Check which AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended & more) can access your website | | [B2B Lead Enricher](https://apify.com/zinin/b2b-lead-enricher) | Turn a list of company websites into sales-qualified lead cards: detected tech stack, a rough revenue… | ### FAQ / Limitations **Does it need an API key or login?** No — Google News RSS is public and keyless. **How fresh is the data?** As fresh as Google News' index — typically minutes to hours behind publication. **Why not layoffs.fyi directly?** Its public site has no stable JSON API; the numbers live inside an embedded Airtable web app with no documented feed. News coverage is a more durable, sourced signal to build on. **Can I call it from an AI agent?** Yes — it's a standard Apify Actor, callable via the Apify API or the Apify MCP server. **What this is NOT.** It does not confirm exact headcount numbers or verify an unconfirmed rumor — it surfaces news coverage that mentions layoffs for your query. Always check the linked article for the real figure and source. Found a wrong result, or need a check we don't run? Open an issue on this Actor's page. *** Built by [zinin](https://apify.com/zinin). Questions? Telegram [@timzinin](https://t.me/timzinin). # Actor input Schema ## `queries` (type: `array`): One entry per company name (e.g. "Google") or sector (e.g. "tech", "fintech"). Each is searched as "{query} layoffs" in Google News. ## `sinceDays` (type: `integer`): Only count news published within this many days. ## `maxConcurrency` (type: `integer`): How many queries to check in parallel. ## Actor input object example ```json { "queries": [ "tech", "fintech" ], "sinceDays": 90, "maxConcurrency": 4 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "queries": [ "tech", "fintech" ] }; // Run the Actor and wait for it to finish const run = await client.actor("zinin/layoff-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "queries": [ "tech", "fintech", ] } # Run the Actor and wait for it to finish run = client.actor("zinin/layoff-tracker").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "queries": [ "tech", "fintech" ] }' | apify call zinin/layoff-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=zinin/layoff-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Layoff Tracker", "description": "Track recent tech layoffs by company name or sector (e.g. \"fintech\", \"AI\") straight from Google News — a demand and recruiting signal. No login, no scraping, no proxies. Returns matched headlines, mention count and a one-line summary per query.", "version": "0.1", "x-build-id": "wbdOjORQCdpz1zgLF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/zinin~layoff-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-zinin-layoff-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/zinin~layoff-tracker/runs": { "post": { "operationId": "runs-sync-zinin-layoff-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/zinin~layoff-tracker/run-sync": { "post": { "operationId": "run-sync-zinin-layoff-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "queries" ], "properties": { "queries": { "title": "Companies or sectors", "maxItems": 25, "type": "array", "description": "One entry per company name (e.g. \"Google\") or sector (e.g. \"tech\", \"fintech\"). Each is searched as \"{query} layoffs\" in Google News.", "items": { "type": "string" } }, "sinceDays": { "title": "Lookback window (days)", "minimum": 1, "maximum": 365, "type": "integer", "description": "Only count news published within this many days.", "default": 90 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many queries to check in parallel.", "default": 4 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```