# Job Postings Scraper (Greenhouse, Lever, Ashby) (`trendlab/job-postings-scraper`) Actor Scrape live job postings straight from company career pages across Greenhouse, Lever, and Ashby. Filter by keyword, location, department. Clean, AI-ready JSON. - **URL**: https://apify.com/trendlab/job-postings-scraper.md - **Developed by:** [Cheoljae Lee](https://apify.com/trendlab) (community) - **Categories:** Jobs, Business, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 job scrapeds 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 ## Job Postings Scraper (Greenhouse, Lever, Ashby) Scrape **live job postings straight from company career pages** across the three biggest ATS platforms — **Greenhouse, Lever, and Ashby** — as clean, normalized, AI-ready JSON. No LinkedIn, no login, no API key: this pulls directly from the same public job-board feeds that power company career sites. ### What does this Actor do? Give it a list of company career-page slugs and get back every open role, normalized into one consistent schema: - 💼 **Job title, department, team, location, employment type** - 🌍 **Remote flag** — auto-detected from location/workplace type - 🔗 **Direct application URL** for each job - 📅 **Posted/updated date** - 📝 **Full job description** (optional) - 🏢 **Works across Greenhouse, Lever, and Ashby** — auto-detects which ATS a company uses - 🤖 **AI-ready JSON** for job boards, HR analytics, market research, and AI agents (via the Apify MCP server) ### Why scrape company career pages instead of LinkedIn? LinkedIn scrapers break constantly and risk account bans. Company ATS feeds (Greenhouse, Lever, Ashby) are **public, stable JSON APIs** — the canonical source, updated in real time, with no anti-bot walls. Recruiters, HR-tech builders, labor-market researchers, and sales teams use this to: - Build **niche job boards** for a specific industry or role - Track **hiring signals** (which companies are growing which teams) - Monitor **competitor headcount** and open roles - Feed **real-time labor-market data** into models and dashboards ### Input example ```json { "companies": ["greenhouse:stripe", "ashby:openai", "lever:mistral", "coinbase"], "titleKeywords": ["engineer", "data"], "locationKeywords": ["Remote", "New York"], "remoteOnly": false, "maxJobsPerCompany": 200 } ```` - Use `ats:slug` (e.g. `greenhouse:stripe`) to be explicit, or just `coinbase` to **auto-detect** across all three platforms. - The slug is the company's job-board handle — the part in their careers URL (e.g. `boards.greenhouse.io/stripe` → `stripe`). ### Output example ```json { "ats": "greenhouse", "company": "stripe", "jobId": "6841234", "title": "Integration Engineer, Professional Services", "department": "Professional Services", "location": "Chicago", "remote": false, "employmentType": null, "url": "https://stripe.com/jobs/listing/...", "updatedAt": "2026-06-30T12:00:00Z" } ``` ### Filters - **titleKeywords** — keep only jobs whose title matches - **locationKeywords** — keep only matching locations - **departments** — keep only matching departments/teams - **remoteOnly** — remote jobs only - **includeDescription** — add full description text - **maxJobsPerCompany** — cap per company ### How much does it cost? Pay per job returned — a small fee per posting. Scraping 1,000 jobs costs a fraction of a dollar. No subscription. ### FAQ **How do I find a company's slug?** Look at their careers page URL: `jobs.lever.co/mistral` → `mistral`, `jobs.ashbyhq.com/openai` → `openai`, `boards.greenhouse.io/stripe` → `stripe`. **Which ATS platforms are supported?** Greenhouse, Lever, and Ashby — together they power a large share of tech and startup hiring. More platforms (Workday, SmartRecruiters) can be added on request. **Is this legal?** It reads public job-board APIs that companies publish specifically to distribute their openings. No personal data, no login. **Can AI agents use it?** Yes — works with the Apify MCP server so Claude, ChatGPT, and other agents can call it and pay per use. ### Support Need another ATS (Workday, SmartRecruiter, Recruitee) or a feature? Open an issue in the **Issues tab** — actively maintained, answered within one business day. # Actor input Schema ## `companies` (type: `array`): Company job-board slugs. Use 'ats:slug' to be explicit (e.g. 'greenhouse:stripe', 'lever:mistral', 'ashby:openai'), or just 'stripe' to auto-detect across all three ATS platforms. ## `titleKeywords` (type: `array`): Only include jobs whose title contains at least one of these keywords (case-insensitive). Leave empty for all jobs. ## `locationKeywords` (type: `array`): Only include jobs whose location contains at least one of these (e.g. 'Remote', 'New York', 'London'). Leave empty for all locations. ## `departments` (type: `array`): Only include jobs in these departments/teams (case-insensitive substring). Leave empty for all. ## `remoteOnly` (type: `boolean`): Only include jobs that appear to be remote. ## `includeDescription` (type: `boolean`): Fetch the full job description text/HTML for each posting. Larger output and more requests. ## `maxJobsPerCompany` (type: `integer`): Maximum number of jobs to return per company (after filtering). ## Actor input object example ```json { "companies": [ "greenhouse:stripe", "ashby:openai", "lever:mistral" ], "titleKeywords": [ "engineer", "data" ], "remoteOnly": false, "includeDescription": false, "maxJobsPerCompany": 200 } ``` # 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": [ "greenhouse:stripe", "ashby:openai", "lever:mistral" ], "titleKeywords": [ "engineer", "data" ] }; // Run the Actor and wait for it to finish const run = await client.actor("trendlab/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": [ "greenhouse:stripe", "ashby:openai", "lever:mistral", ], "titleKeywords": [ "engineer", "data", ], } # Run the Actor and wait for it to finish run = client.actor("trendlab/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": [ "greenhouse:stripe", "ashby:openai", "lever:mistral" ], "titleKeywords": [ "engineer", "data" ] }' | apify call trendlab/job-postings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=trendlab/job-postings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Job Postings Scraper (Greenhouse, Lever, Ashby)", "description": "Scrape live job postings straight from company career pages across Greenhouse, Lever, and Ashby. Filter by keyword, location, department. Clean, AI-ready JSON.", "version": "0.1", "x-build-id": "sSVDRFbAAcD2Lq3NH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/trendlab~job-postings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-trendlab-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/trendlab~job-postings-scraper/runs": { "post": { "operationId": "runs-sync-trendlab-job-postings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/trendlab~job-postings-scraper/run-sync": { "post": { "operationId": "run-sync-trendlab-job-postings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "companies" ], "properties": { "companies": { "title": "Companies (career-page slugs)", "minItems": 1, "type": "array", "description": "Company job-board slugs. Use 'ats:slug' to be explicit (e.g. 'greenhouse:stripe', 'lever:mistral', 'ashby:openai'), or just 'stripe' to auto-detect across all three ATS platforms.", "items": { "type": "string" } }, "titleKeywords": { "title": "Title keywords (filter)", "type": "array", "description": "Only include jobs whose title contains at least one of these keywords (case-insensitive). Leave empty for all jobs.", "items": { "type": "string" } }, "locationKeywords": { "title": "Location keywords (filter)", "type": "array", "description": "Only include jobs whose location contains at least one of these (e.g. 'Remote', 'New York', 'London'). Leave empty for all locations.", "items": { "type": "string" } }, "departments": { "title": "Departments (filter)", "type": "array", "description": "Only include jobs in these departments/teams (case-insensitive substring). Leave empty for all.", "items": { "type": "string" } }, "remoteOnly": { "title": "Remote jobs only", "type": "boolean", "description": "Only include jobs that appear to be remote.", "default": false }, "includeDescription": { "title": "Include full job description", "type": "boolean", "description": "Fetch the full job description text/HTML for each posting. Larger output and more requests.", "default": false }, "maxJobsPerCompany": { "title": "Max jobs per company", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of jobs to return per company (after filtering).", "default": 200 } } }, "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 } } } } } } } } } } ```