# Company Jobs Scraper - Greenhouse, Lever, Ashby + more (`burn98/ats-jobs-scraper`) Actor Get all job postings for a list of companies. Auto-detects the ATS behind each careers page (Greenhouse, Lever, Ashby, Workable, Recruitee, SmartRecruiters) and returns clean, normalized job data. - **URL**: https://apify.com/burn98/ats-jobs-scraper.md - **Developed by:** [Michi Reinhoffer](https://apify.com/burn98) (community) - **Categories:** Jobs, Lead generation - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 ## Company Jobs Scraper - Greenhouse, Lever, Workday, Ashby & more Get all job postings for any list of companies in one run. Paste company domains or careers page URLs. The actor detects which applicant tracking system (ATS) each company uses and returns clean job data in one schema, no matter the source. ### Supported ATS platforms | Platform | Example input | |---|---| | Greenhouse | `https://boards.greenhouse.io/gitlab` | | Lever | `https://jobs.lever.co/palantir` | | Workday | `https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite` | | Ashby | `https://jobs.ashbyhq.com/linear` | | Workable | `https://apply.workable.com/yourcompany` | | Recruitee | `https://yourcompany.recruitee.com` | | SmartRecruiters | `https://careers.smartrecruiters.com/BoschGroup` | A bare domain like `linear.app` or a careers page like `https://company.com/careers` works too. The actor finds the ATS board behind it automatically. ### Why this actor - One schema across all platforms. No per-ATS parsing on your side. - Feed it 5 or 500 companies. Each run refreshes the full list. - Reads each platform's official public job feed instead of scraping fragile HTML. No proxies, fast runs, very little breakage. - Pay per result. You only pay for job records actually delivered. ### Use cases - Job boards and aggregators: keep listings fresh for a portfolio of companies - Sales and recruiting intelligence: hiring activity as a growth signal - Market research: who is hiring for what, and where - "Who's hiring" newsletters and talent communities ### Input ```json { "companies": [ "linear.app", "https://jobs.lever.co/palantir", "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite" ], "includeDescription": false, "maxJobsPerCompany": 500 } ```` ### Output One dataset item per job posting: ```json { "company": "palantir", "title": "Software Engineer - Infrastructure", "department": "Engineering", "location": "San Francisco, CA", "remote": false, "url": "https://jobs.lever.co/palantir/abc123", "publishedAt": "2026-06-30T18:21:07.000Z", "source": "lever" } ``` Set `includeDescription: true` to add the full plain-text job description. ### FAQ **A company failed with "No supported ATS detected". Why?** That company uses an ATS this actor does not support yet (e.g. BambooHR, Personio) or a fully custom careers site. Open an issue with the URL. Platform requests drive the roadmap. **Anything special about Workday?** Workday's job feed does not expose exact posting dates, so `publishedAt` is null for Workday jobs. Descriptions need one extra request per job, so large Workday boards with `includeDescription: true` take a bit longer. **Is this legal?** The actor reads public job feeds that companies publish so their openings get distributed. No personal data is collected. **How fresh is the data?** Live at run time. Each run queries the ATS platforms directly. Schedule the actor to keep a dataset continuously fresh. # Actor input Schema ## `companies` (type: `array`): Company domains, careers page URLs, or direct ATS board URLs (e.g. linear.app, https://stripe.com/jobs, https://jobs.lever.co/palantir). The ATS is detected automatically. ## `includeDescription` (type: `boolean`): Adds plain-text description to each job. Larger items; leave off if you only need titles/locations/links. ## `maxJobsPerCompany` (type: `integer`): Cap on postings returned per company. ## Actor input object example ```json { "companies": [ "https://jobs.lever.co/palantir", "https://jobs.ashbyhq.com/linear", "https://boards.greenhouse.io/gitlab", "https://adobe.wd5.myworkdayjobs.com/external_experienced" ], "includeDescription": false, "maxJobsPerCompany": 500 } ``` # 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://jobs.lever.co/palantir", "https://jobs.ashbyhq.com/linear", "https://boards.greenhouse.io/gitlab", "https://adobe.wd5.myworkdayjobs.com/external_experienced" ] }; // Run the Actor and wait for it to finish const run = await client.actor("burn98/ats-jobs-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://jobs.lever.co/palantir", "https://jobs.ashbyhq.com/linear", "https://boards.greenhouse.io/gitlab", "https://adobe.wd5.myworkdayjobs.com/external_experienced", ] } # Run the Actor and wait for it to finish run = client.actor("burn98/ats-jobs-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://jobs.lever.co/palantir", "https://jobs.ashbyhq.com/linear", "https://boards.greenhouse.io/gitlab", "https://adobe.wd5.myworkdayjobs.com/external_experienced" ] }' | apify call burn98/ats-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=burn98/ats-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Company Jobs Scraper - Greenhouse, Lever, Ashby + more", "description": "Get all job postings for a list of companies. Auto-detects the ATS behind each careers page (Greenhouse, Lever, Ashby, Workable, Recruitee, SmartRecruiters) and returns clean, normalized job data.", "version": "0.1", "x-build-id": "TXsGXwXUzuAokQaQt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/burn98~ats-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-burn98-ats-jobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/burn98~ats-jobs-scraper/runs": { "post": { "operationId": "runs-sync-burn98-ats-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/burn98~ats-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-burn98-ats-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "companies" ], "properties": { "companies": { "title": "Companies", "type": "array", "description": "Company domains, careers page URLs, or direct ATS board URLs (e.g. linear.app, https://stripe.com/jobs, https://jobs.lever.co/palantir). The ATS is detected automatically.", "items": { "type": "string" } }, "includeDescription": { "title": "Include full job description", "type": "boolean", "description": "Adds plain-text description to each job. Larger items; leave off if you only need titles/locations/links.", "default": false }, "maxJobsPerCompany": { "title": "Max jobs per company", "minimum": 1, "type": "integer", "description": "Cap on postings returned per company.", "default": 500 } } }, "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 } } } } } } } } } } ```