# ATS Job Aggregator - Greenhouse, Lever, Ashby, Workable Feed (`fetchcraft/ats-job-aggregator`) Actor Live job-postings feed from any company hosted on Greenhouse, Lever, Ashby, or Workable. Public JSON endpoints, no scraping risk. Returns title, department, location, employment type, apply URL, raw metadata. Recruiter and B2B-sales trigger feed. $0.005 per job. Free preview. - **URL**: https://apify.com/fetchcraft/ats-job-aggregator.md - **Developed by:** [Emily Ward](https://apify.com/fetchcraft) (community) - **Categories:** Jobs, Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 1,000 job returneds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## ATS Job Aggregator (Greenhouse, Lever, Ashby, Workable) Pulls **live** job postings from any company whose careers page is hosted on Greenhouse, Lever, Ashby, or Workable. Uses the public JSON endpoints each ATS exposes for embedding job boards on customer marketing sites, so no scraping, no auth, no rate-limit pain. ### Why use this - **Recruiters** need a fresh feed of competitor / target-company hiring. - **B2B sales targeting recruiting teams** (ATSes, sourcing tools, recruiting agencies) need signals on which companies are actively hiring engineers / sales / GTM. - **Job boards and aggregators** can index hundreds of companies at near-zero cost. - **Investors and analysts** track hiring as a leading indicator of growth or burn. ### Supported ATS endpoints | ATS | Public endpoint | |---|---| | Greenhouse | `https://boards-api.greenhouse.io/v1/boards/{slug}/jobs?content=true` | | Lever | `https://api.lever.co/v0/postings/{slug}?mode=json` | | Ashby | `https://api.ashbyhq.com/posting-api/job-board/{slug}` | | Workable | `https://apply.workable.com/api/v3/accounts/{slug}/jobs` | These are the same JSON feeds each ATS uses to render the "View open positions" widget on the customer's website, so they're guaranteed-stable contracts. ### Input ```json { "companies": ["greenhouse:airbnb", "lever:netflix", "ashby:notion", "workable:figma"], "keyword_filter": "engineer", "location_filter": "Remote", "department_filter": "", "max_jobs_per_company": 50 } ```` You can also paste full URLs like `https://boards.greenhouse.io/airbnb` or `https://jobs.lever.co/netflix` and the ATS is inferred automatically. ### Pricing - **US$0.005 per job returned** (after filtering, before max-jobs cap). - Preview mode runs the first company and returns at most 3 jobs free. ### Output (one row per job) ```json { "company": "airbnb", "ats": "greenhouse", "external_id": "1234567", "title": "Senior Software Engineer, Trust", "department": "Engineering", "team": "Trust & Safety", "location": "San Francisco, CA", "employment_type": "Full-time", "posted_at": "2026-05-28T10:00:00Z", "updated_at": "2026-05-30T14:00:00Z", "apply_url": "https://boards.greenhouse.io/airbnb/jobs/1234567", "raw_metadata": { } } ``` ### Pairs well with - [Shopify Store Detector](https://apify.com/fetchcraft/shopify-store-detector) and [WordPress Stack Detector](https://apify.com/fetchcraft/wordpress-stack-detector): combine with hiring signal for full-stack lead context. - [Email Finder & Verifier](https://apify.com/fetchcraft/email-finder-verifier): turn job postings into named recruiter contacts. - [Hiring Signal Detector](https://apify.com/fetchcraft/hiring-signal-detector): rank each job posting by buying-signal strength before reaching out. - [AI Sales Personalizer](https://apify.com/fetchcraft/ai-sales-personalizer): feed live job data into personalised outreach ("I saw you're hiring 3 SREs in NYC, here's how we cut on-call load by 40%"). - [DNS + Email Footprint](https://apify.com/fetchcraft/dns-email-footprint): add vendor stack to every company in the job-posting feed. Deep-dive landing page: https://ai-sales-personalizer.vercel.app/scrapers/ats-job-aggregator ### Limitations - Only ATS-hosted boards. Custom-built careers pages aren't supported by this actor (the Shopify and WordPress detectors handle the messy long tail). - Each ATS exposes slightly different fields. The actor normalises the common ones; raw payload is preserved in `raw_metadata` for fields outside the common schema. - Some companies use multiple ATS instances (e.g. Greenhouse for engineering + Lever for sales). Run them as separate entries. ### Integrations This actor works out of the box with every Apify-supported integration: - **API**: call via Apify API or any official SDK (Python, JavaScript, PHP, .NET). Returns a clean dataset URL. - **Schedule**: set a daily, weekly, or custom cron cadence in Apify Console. Combine with `notification` for fresh feeds. - **Webhooks**: wire `ACTOR.RUN.SUCCEEDED` to Slack, Discord, Zapier, Make, n8n, Pipedream, or any HTTPS endpoint. - **MCP**: this actor is discoverable through Apify's hosted MCP server at `mcp.apify.com` for Claude, Cursor, Cline, Windsurf, and other MCP clients. - **n8n / Make / Zapier**: native HTTP-Request integration. Trigger the actor on schedule, pipe results to Google Sheets, Airtable, your CRM, or any database. ### Try it free Every Apify user gets **$5/month in free platform credits** (around 250 events at this actor's per-event price). Run preview mode first to confirm output shape before scaling. New to Apify? [Sign up here](https://apify.com/sign-up?fpr=fetchcraft) to get free credits on signup. ### What's New - 2026-06-03: Metadata, categories, and SEO refreshed. Latest version live on Apify Store. ### Last Updated 2026-06-03 # Actor input Schema ## `companies` (type: `array`): Each entry is either 'greenhouse:airbnb', 'lever:netflix', 'ashby:notion', 'workable:figma', or a full board URL like https://boards.greenhouse.io/airbnb. The ATS will be inferred from URL if not specified. ## `keyword_filter` (type: `string`): If set, only jobs with this keyword in the title are returned (case-insensitive). ## `location_filter` (type: `string`): If set, only jobs containing this string in the location are returned. ## `department_filter` (type: `string`): If set, only jobs in this department are returned (case-insensitive contains). ## `max_jobs_per_company` (type: `integer`): Cap on how many jobs are returned per company (after filtering). 0 = no cap. ## `preview` (type: `boolean`): Run only the first company, return at most 3 jobs. Free, no charge. ## Actor input object example ```json { "companies": [ "greenhouse:airbnb", "lever:netflix", "ashby:notion", "workable:figma" ], "max_jobs_per_company": 0, "preview": false } ``` # 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:airbnb", "lever:netflix", "ashby:notion", "workable:figma" ] }; // Run the Actor and wait for it to finish const run = await client.actor("fetchcraft/ats-job-aggregator").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:airbnb", "lever:netflix", "ashby:notion", "workable:figma", ] } # Run the Actor and wait for it to finish run = client.actor("fetchcraft/ats-job-aggregator").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:airbnb", "lever:netflix", "ashby:notion", "workable:figma" ] }' | apify call fetchcraft/ats-job-aggregator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fetchcraft/ats-job-aggregator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ATS Job Aggregator - Greenhouse, Lever, Ashby, Workable Feed", "description": "Live job-postings feed from any company hosted on Greenhouse, Lever, Ashby, or Workable. Public JSON endpoints, no scraping risk. Returns title, department, location, employment type, apply URL, raw metadata. Recruiter and B2B-sales trigger feed. $0.005 per job. Free preview.", "version": "0.1", "x-build-id": "JmU5VZMXOiIuLlNEt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fetchcraft~ats-job-aggregator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fetchcraft-ats-job-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/fetchcraft~ats-job-aggregator/runs": { "post": { "operationId": "runs-sync-fetchcraft-ats-job-aggregator", "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/fetchcraft~ats-job-aggregator/run-sync": { "post": { "operationId": "run-sync-fetchcraft-ats-job-aggregator", "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 (one per line: ATS:slug or full board URL)", "type": "array", "description": "Each entry is either 'greenhouse:airbnb', 'lever:netflix', 'ashby:notion', 'workable:figma', or a full board URL like https://boards.greenhouse.io/airbnb. The ATS will be inferred from URL if not specified.", "items": { "type": "string" } }, "keyword_filter": { "title": "Keyword filter (optional)", "type": "string", "description": "If set, only jobs with this keyword in the title are returned (case-insensitive)." }, "location_filter": { "title": "Location filter (optional)", "type": "string", "description": "If set, only jobs containing this string in the location are returned." }, "department_filter": { "title": "Department filter (optional)", "type": "string", "description": "If set, only jobs in this department are returned (case-insensitive contains)." }, "max_jobs_per_company": { "title": "Max jobs per company", "minimum": 0, "type": "integer", "description": "Cap on how many jobs are returned per company (after filtering). 0 = no cap.", "default": 0 }, "preview": { "title": "Preview mode (free)", "type": "boolean", "description": "Run only the first company, return at most 3 jobs. Free, no charge.", "default": 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 } } } } } } } } } } ```