# Tech Layoff Intelligence Tracker (`useful-ai/tech-layoff-intelligence-tracker`) Actor Scrapes layoffs.fyi to extract structured, filterable tech & startup layoff data. Filter by date range, industry, country, company, or minimum headcount. Outputs clean JSON with optional aggregate statistics. - **URL**: https://apify.com/useful-ai/tech-layoff-intelligence-tracker.md - **Developed by:** [Useful AI](https://apify.com/useful-ai) (community) - **Categories:** Jobs - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 { "name": "tech-layoff-intelligence-tracker", "version": "1.0.0", "description": "Apify Actor — scrapes layoffs.fyi to provide structured, filterable tech & startup layoff intelligence.", "type": "module", "main": "src/main.js", "scripts": { "start": "node src/main.js" }, "dependencies": { "apify": "^3", "cheerio": "^1.0.0", "got-scraping": "^3" }, "engines": { "node": ">=18.0.0" }, "license": "Apache-2.0", "keywords": [ "apify", "actor", "layoffs", "tech-layoffs", "startup", "workforce", "scraper", "layoffs.fyi" ] } # Actor input Schema ## `startDate` (type: `string`): Only return layoff events on or after this date (YYYY-MM-DD). Leave blank for all-time data. ## `endDate` (type: `string`): Only return layoff events on or before this date (YYYY-MM-DD). Leave blank for no upper bound. ## `minLaidOff` (type: `integer`): Exclude events with fewer than this many employees laid off. ## `industry` (type: `string`): Case-insensitive substring match on industry (e.g. 'fintech', 'crypto', 'health'). ## `country` (type: `string`): Case-insensitive substring match on country (e.g. 'United States', 'India'). ## `company` (type: `string`): Case-insensitive substring match on company name. ## `maxResults` (type: `integer`): Maximum number of records to return (default 1000, max 10000). ## `includeStats` (type: `boolean`): Save summary stats (top industries, countries, companies) to Key-Value store under key STATS. ## `proxyConfiguration` (type: `object`): Proxy settings. Apify Residential proxies recommended. ## Actor input object example ```json { "startDate": "2024-01-01", "endDate": "2024-12-31", "minLaidOff": 100, "industry": "fintech", "country": "United States", "company": "Google", "maxResults": 500, "includeStats": true, "proxyConfiguration": { "useApifyProxy": true } } ```` # 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 = { "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("useful-ai/tech-layoff-intelligence-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 = { "proxyConfiguration": { "useApifyProxy": True } } # Run the Actor and wait for it to finish run = client.actor("useful-ai/tech-layoff-intelligence-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 '{ "proxyConfiguration": { "useApifyProxy": true } }' | apify call useful-ai/tech-layoff-intelligence-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=useful-ai/tech-layoff-intelligence-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tech Layoff Intelligence Tracker", "description": "Scrapes layoffs.fyi to extract structured, filterable tech & startup layoff data. Filter by date range, industry, country, company, or minimum headcount. Outputs clean JSON with optional aggregate statistics.", "version": "0.0", "x-build-id": "chY9DP1GJ74Zza0vr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/useful-ai~tech-layoff-intelligence-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-useful-ai-tech-layoff-intelligence-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/useful-ai~tech-layoff-intelligence-tracker/runs": { "post": { "operationId": "runs-sync-useful-ai-tech-layoff-intelligence-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/useful-ai~tech-layoff-intelligence-tracker/run-sync": { "post": { "operationId": "run-sync-useful-ai-tech-layoff-intelligence-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", "properties": { "startDate": { "title": "Start Date", "type": "string", "description": "Only return layoff events on or after this date (YYYY-MM-DD). Leave blank for all-time data." }, "endDate": { "title": "End Date", "type": "string", "description": "Only return layoff events on or before this date (YYYY-MM-DD). Leave blank for no upper bound." }, "minLaidOff": { "title": "Minimum Employees Laid Off", "minimum": 1, "type": "integer", "description": "Exclude events with fewer than this many employees laid off." }, "industry": { "title": "Industry Filter", "type": "string", "description": "Case-insensitive substring match on industry (e.g. 'fintech', 'crypto', 'health')." }, "country": { "title": "Country Filter", "type": "string", "description": "Case-insensitive substring match on country (e.g. 'United States', 'India')." }, "company": { "title": "Company Name Search", "type": "string", "description": "Case-insensitive substring match on company name." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of records to return (default 1000, max 10000).", "default": 1000 }, "includeStats": { "title": "Include Aggregate Statistics", "type": "boolean", "description": "Save summary stats (top industries, countries, companies) to Key-Value store under key STATS.", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Apify Residential proxies recommended." } } }, "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 } } } } } } } } } } ```