# ATS Job Postings Scraper (Greenhouse, Lever, Ashby, Workable) (`pattonholdings/ats-job-postings-scraper`) Actor Scrape job postings from company career boards on Greenhouse, Lever, Ashby, Workable. Input: company slugs or careers URLs (auto-detected). Output: normalized JSON per job - title, department, location, remote flag, salary, apply URL, description. Use for hiring signals, lead-gen, recruiting. - **URL**: https://apify.com/pattonholdings/ats-job-postings-scraper.md - **Developed by:** [Coleton Patton](https://apify.com/pattonholdings) (community) - **Categories:** Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## ATS Job Postings Scraper — Greenhouse, Lever, Ashby, Workable Scrape live job postings from any company's career board hosted on the four major ATS platforms. Give it company slugs or careers-page URLs; get back one normalized JSON row per job. ### Why this Actor Company careers pages on Greenhouse, Lever, Ashby, and Workable are backed by public JSON APIs — the same ones their own job boards call. This Actor speaks all four, auto-detects the platform, and normalizes the output into a single schema. No browser, no proxies, no flakiness. ### Use cases - **Sales prospecting / lead-gen** — companies hiring for a role are budget-active buyers of tools in that category. Track hiring signals across your target-account list. - **Recruiting intelligence** — monitor competitor hiring by department, location, seniority. - **Job boards & aggregators** — ingest normalized postings from thousands of boards. - **Market research** — salary transparency data (Ashby compensation tiers included when published), remote-work trends, tech-stack signals from job descriptions. - **Job seekers** — track dream-company boards daily with a scheduled run + filter. ### Input ```json { "companies": [ "https://boards.greenhouse.io/stripe", "https://jobs.lever.co/spotify", "https://jobs.ashbyhq.com/openai", "https://apply.workable.com/blueground", "netflix" ], "titleFilter": "engineer", "locationFilter": "remote", "remoteOnly": false, "includeDescription": true } ```` - **companies** — URLs or bare slugs (bare slugs are tried against all four platforms). Max 500 per run. - **titleFilter / locationFilter** — case-insensitive substring filters. - **remoteOnly** — only jobs flagged remote. - **includeDescription** — set false for lighter datasets. ### Output (one row per job) ```json { "company": "stripe", "platform": "greenhouse", "title": "Backend Engineer, Payments", "department": "Engineering", "location": "Toronto, Canada", "isRemote": false, "employmentType": "Full-time", "compensation": "$150K – $210K", "url": "https://boards.greenhouse.io/stripe/jobs/123456", "publishedAt": "2026-06-28T14:02:11Z", "description": "Stripe is looking for...", "scrapedAt": "2026-07-05T09:00:00.000Z" } ``` Boards that can't be found return a single `type: "error"` row naming the input, so batch runs never fail silently. ### Scheduling Pair with Apify Schedules for daily monitoring. Combine `companies` list + `titleFilter` and export to Google Sheets / webhook for a zero-maintenance hiring-signals pipeline. ### Pricing Pay-per-result: **$0.001 per job posting** ($1 per 1,000 jobs). A 50-company batch typically returns 1,000-5,000 postings in under 2 minutes. ### Fair use This Actor reads only officially public job-board APIs intended for embedding. It sends no credentials, bypasses no auth, and respects each platform's public data surface. ### Author Built by [Peak Post](https://peakpost.ca) — also maintainer of the 13-Actor Website Audit Suite (security headers, Core Web Vitals, WCAG, structured data, and more). # Actor input Schema ## `companies` (type: `array`): Company career boards to scrape. Accepts full URLs (https://boards.greenhouse.io/stripe, https://jobs.lever.co/spotify, https://jobs.ashbyhq.com/openai, https://apply.workable.com/blueground) or bare slugs (platform auto-detected). Max 500. ## `titleFilter` (type: `string`): Only include jobs whose title contains this text (case-insensitive), e.g. "engineer". ## `locationFilter` (type: `string`): Only include jobs whose location contains this text (case-insensitive), e.g. "Toronto" or "Remote". ## `remoteOnly` (type: `boolean`): Only include jobs flagged as remote. ## `includeDescription` (type: `boolean`): Include the plain-text job description (up to 5000 chars) in each result. Disable for smaller datasets. ## Actor input object example ```json { "companies": [ "https://boards.greenhouse.io/stripe" ], "remoteOnly": false, "includeDescription": 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 = { "companies": [ "https://boards.greenhouse.io/stripe" ] }; // Run the Actor and wait for it to finish const run = await client.actor("pattonholdings/ats-job-postings-scraper").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 = { "companies": ["https://boards.greenhouse.io/stripe"] } # Run the Actor and wait for it to finish run = client.actor("pattonholdings/ats-job-postings-scraper").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 '{ "companies": [ "https://boards.greenhouse.io/stripe" ] }' | apify call pattonholdings/ats-job-postings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=pattonholdings/ats-job-postings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ATS Job Postings Scraper (Greenhouse, Lever, Ashby, Workable)", "description": "Scrape job postings from company career boards on Greenhouse, Lever, Ashby, Workable. Input: company slugs or careers URLs (auto-detected). Output: normalized JSON per job - title, department, location, remote flag, salary, apply URL, description. Use for hiring signals, lead-gen, recruiting.", "version": "1.0", "x-build-id": "XCRqohJaVgfHTrpCp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/pattonholdings~ats-job-postings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-pattonholdings-ats-job-postings-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/pattonholdings~ats-job-postings-scraper/runs": { "post": { "operationId": "runs-sync-pattonholdings-ats-job-postings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/pattonholdings~ats-job-postings-scraper/run-sync": { "post": { "operationId": "run-sync-pattonholdings-ats-job-postings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "companies": { "title": "Companies (slugs or careers URLs)", "uniqueItems": true, "type": "array", "description": "Company career boards to scrape. Accepts full URLs (https://boards.greenhouse.io/stripe, https://jobs.lever.co/spotify, https://jobs.ashbyhq.com/openai, https://apply.workable.com/blueground) or bare slugs (platform auto-detected). Max 500.", "items": { "type": "string" } }, "titleFilter": { "title": "Title filter", "type": "string", "description": "Only include jobs whose title contains this text (case-insensitive), e.g. \"engineer\"." }, "locationFilter": { "title": "Location filter", "type": "string", "description": "Only include jobs whose location contains this text (case-insensitive), e.g. \"Toronto\" or \"Remote\"." }, "remoteOnly": { "title": "Remote only", "type": "boolean", "description": "Only include jobs flagged as remote.", "default": false }, "includeDescription": { "title": "Include full description", "type": "boolean", "description": "Include the plain-text job description (up to 5000 chars) in each result. Disable for smaller datasets.", "default": true } } }, "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 } } } } } } } } } } ```