# Greenhouse, Lever & Ashby Jobs Scraper - Unified ATS (`webdata_labs/greenhouse-lever-ashby-jobs-scraper`) Actor \[💵 $1.00 / 1K] Scrape open jobs across Greenhouse, Lever, and Ashby in one unified, enriched schema. Auto-detects each company's ATS. - **URL**: https://apify.com/webdata\_labs/greenhouse-lever-ashby-jobs-scraper.md - **Developed by:** [Open Web Team](https://apify.com/webdata_labs) (community) - **Categories:** Jobs, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.60 / 1,000 job postings This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Greenhouse, Lever & Ashby Jobs Scraper - Unified ATS **Scrape open jobs across the three dominant startup/tech ATS systems - Greenhouse, Lever, and Ashby - in one run, one unified schema.** Give it company slugs; it auto-detects which ATS each company uses and returns clean, enriched job rows. Most ATS scrapers cover a single platform and hand back that platform's raw shape. This Actor reads all three official public job-board APIs, **auto-detects the ATS per company**, and normalizes everything into one consistent schema with remote flags, departments, locations, and posting dates - ready for recruiting, sourcing, job-board aggregation, or B2B sales-signal workflows. ### ✅ What you get / ❌ what this isn't | This Actor gives you | This Actor is not | |---|---| | Open jobs from Greenhouse, Lever, and Ashby in one unified schema | Not a job-board with login-gated or paid postings | | Automatic ATS detection per company (or force it with a prefix) | Not a company-discovery tool (you provide the slugs) | | Per-company roll-up: which ATS, total roles, remote count, top departments | Not affiliated with Greenhouse, Lever, or Ashby | | Remote flag, department, location, employment type, posting date, apply URL | Not a resume or candidate scraper | | Reliable official-API reads (no anti-bot, no proxy needed) | Not a guarantee a company uses one of these three ATS | ### 🔎 Why use this Actor - Aggregate open roles across many companies without writing three integrations. - Track which companies are hiring for a role - a strong B2B buying signal. - Build or refresh a niche job board from startup/tech employers. - Monitor a target account's open roles and headcount growth. - Feed normalized job rows into spreadsheets, an ATS/CRM, or an LLM pipeline. ### 🗂️ What data you get | Field | Type | Description | |---|---|---| | `company` | string | Company board slug | | `ats` | string | greenhouse, lever, or ashby | | `title` | string | Job title | | `department`, `team` | string | Org grouping when provided | | `location` | string | Primary location | | `isRemote` | boolean | Remote detection across all three sources | | `employmentType` | string | Full-time/contract etc. when provided | | `postedAt` | string | Posting date (normalized) | | `url`, `applyUrl` | string | Job and apply links | Plus a per-company summary row: ATS used, total jobs, remote count, unique departments/locations, top departments, and newest posting date. ### 👥 Who it's for - Recruiters and sourcers tracking open roles across many employers. - Job-board and aggregator builders. - B2B sales/RevOps using hiring as an intent signal. - Market researchers tracking hiring trends. - Data teams building normalized jobs datasets. ### Example tasks - [Scrape Greenhouse jobs for a company](https://apify.com/webdata_labs/greenhouse-lever-ashby-jobs-scraper/examples/scrape-greenhouse-jobs-for-a-company) - [Scrape jobs across Greenhouse, Lever and Ashby](https://apify.com/webdata_labs/greenhouse-lever-ashby-jobs-scraper/examples/scrape-jobs-across-greenhouse-lever-and-ashby) - [Monitor a startup's open roles](https://apify.com/webdata_labs/greenhouse-lever-ashby-jobs-scraper/examples/monitor-a-startups-open-roles) ### ⚙️ How to scrape ATS jobs 1. Open the Actor on Apify. 2. Enter company board slugs (for example `stripe`, `ramp`, `mistral`). Force an ATS with a prefix (`lever:mistral`) or paste a full job-board URL. 3. Choose how many jobs to collect per company. 4. Run the Actor. 5. Open the dataset view for `Job postings` or `Company summaries`. 6. Export JSON, CSV, Excel, HTML, RSS, or XML, or call the Actor through the Apify API. ### 📥 Input ```json { "companies": ["stripe", "ramp", "mistral"], "maxJobsPerCompany": 200, "includeDescription": false } ```` ### 📤 Output ```json { "recordType": "job", "company": "ramp", "ats": "ashby", "title": "Director, Performance Marketing", "department": "Marketing", "location": "New York, NY (HQ)", "isRemote": true, "employmentType": "FullTime", "postedAt": "2026-06-11T17:21:26.410+00:00", "url": "https://jobs.ashbyhq.com/ramp/..." } ``` ### 💵 How much does it cost? The launch price is about `$1.00 / 1,000 job postings`, tier-discounted for higher Apify plans. One job posting is one charged result; company summary rows are part of the same output. ### 🔁 Run it on the Apify platform Schedule recurring hiring refreshes, call it from the Apify API, export to CSV/JSON/Excel, or connect the dataset to Make, Zapier, webhooks, a warehouse, or an LLM pipeline. ### ⚠️ Limits and caveats - This Actor reads the public job-board APIs of Greenhouse, Lever, and Ashby. It is not affiliated with them. - You provide the company board slugs. The Actor enriches them; it does not discover which companies exist. - A company is found only if it uses one of these three ATS and has public postings; otherwise the company row is returned with `found: false`. - Field availability varies by ATS (for example, Greenhouse's board API does not expose employment type), so some fields are null for some sources. ### 🧩 Related Actors - Website Tech Stack Detector - find the tools a company's site runs. - Website Contact Extractor - turn company domains into outreach-ready emails. - Shopify Store Analyzer - catalog and contact intelligence for Shopify stores. - Lead List Deduplicator - clean and merge enriched rows before CRM import. ### ❓ FAQ #### How does ATS auto-detection work? For an unprefixed slug, the Actor checks Greenhouse, Lever, and Ashby and uses the first that returns open postings. Force one with a `greenhouse:`, `lever:`, or `ashby:` prefix. #### Where do I find a company's board slug? It's the company identifier in its careers URL - for example `boards.greenhouse.io/stripe`, `jobs.lever.co/mistral`, or `jobs.ashbyhq.com/ramp`. You can paste the full URL too. #### Can it return job descriptions? Yes. Turn on `includeDescription` to include the full HTML description per posting. It's off by default to keep runs small and cheap. #### Does it need a proxy? No. These are public official APIs that work without a proxy. Enable Apify Proxy only if you process many companies and hit IP rate limits. ### 🛠️ Support For bugs or missing fields, open an Actor issue with the run URL, the company slug, and the field or behavior you expected. # Actor input Schema ## `companies` (type: `array`): Company job-board identifiers. Use the board slug (for example stripe, ramp, mistral), or force an ATS with a prefix (greenhouse:stripe, lever:mistral, ashby:ramp), or paste a full job-board URL. Unprefixed slugs auto-detect the ATS. ## `maxJobsPerCompany` (type: `integer`): Maximum job postings to collect per company. Large employers can have hundreds of open roles. ## `includeDescription` (type: `boolean`): Include the full HTML job description per posting. Off by default to keep results small and cheap. ## `proxyConfiguration` (type: `object`): Optional. These ATS endpoints are public and work without a proxy; enable Apify Proxy only if you hit IP rate limits across many companies. ## Actor input object example ```json { "companies": [ "stripe" ], "maxJobsPerCompany": 200, "includeDescription": false, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `OUTPUT` (type: `string`): No description # 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": [ "stripe" ] }; // Run the Actor and wait for it to finish const run = await client.actor("webdata_labs/greenhouse-lever-ashby-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": ["stripe"] } # Run the Actor and wait for it to finish run = client.actor("webdata_labs/greenhouse-lever-ashby-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": [ "stripe" ] }' | apify call webdata_labs/greenhouse-lever-ashby-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=webdata_labs/greenhouse-lever-ashby-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Greenhouse, Lever & Ashby Jobs Scraper - Unified ATS", "description": "[💵 $1.00 / 1K] Scrape open jobs across Greenhouse, Lever, and Ashby in one unified, enriched schema. Auto-detects each company's ATS.", "version": "0.1", "x-build-id": "A4gxCebs5IYDWKQzw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/webdata_labs~greenhouse-lever-ashby-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-webdata_labs-greenhouse-lever-ashby-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/webdata_labs~greenhouse-lever-ashby-jobs-scraper/runs": { "post": { "operationId": "runs-sync-webdata_labs-greenhouse-lever-ashby-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/webdata_labs~greenhouse-lever-ashby-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-webdata_labs-greenhouse-lever-ashby-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 job-board identifiers. Use the board slug (for example stripe, ramp, mistral), or force an ATS with a prefix (greenhouse:stripe, lever:mistral, ashby:ramp), or paste a full job-board URL. Unprefixed slugs auto-detect the ATS.", "default": [ "stripe", "ramp", "mistral" ], "items": { "type": "string" } }, "maxJobsPerCompany": { "title": "Max jobs per company", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum job postings to collect per company. Large employers can have hundreds of open roles.", "default": 200 }, "includeDescription": { "title": "Include job descriptions", "type": "boolean", "description": "Include the full HTML job description per posting. Off by default to keep results small and cheap.", "default": false }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Optional. These ATS endpoints are public and work without a proxy; enable Apify Proxy only if you hit IP rate limits across many companies.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```