# Multi-ATS Job Scraper (Greenhouse, Lever, Ashby) (`dataset-smith/multi-ats-job-scraper`) Actor Scrape all open jobs from any company's Greenhouse, Lever, Ashby, or SmartRecruiters careers page into one unified structured dataset. Auto-detects the ATS. No login or proxies. - **URL**: https://apify.com/dataset-smith/multi-ats-job-scraper.md - **Developed by:** [Ackoo Lu](https://apify.com/dataset-smith) (community) - **Categories:** Jobs, Business, 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 ## Multi-ATS Job Scraper — Greenhouse, Lever, Ashby & SmartRecruiters Scrape **every open job** from any company's careers page into one clean, unified dataset — across four major applicant tracking systems (ATS): **Greenhouse, Lever, Ashby, and SmartRecruiters**. Just give a list of companies; the Actor **auto-detects** which ATS each one uses. No login, no API keys, no proxies, no captcha — uses each ATS's public job board API. ### Output (unified across all 3 ATS) | Field | Example | |---|---| | `company` | `Stripe` | | `ats` | `greenhouse` | | `title` | `Senior Software Engineer` | | `department` | `Engineering` | | `team` | `Payments` | | `location` | `San Francisco, CA` | | `workplace_type` | `hybrid` | | `is_remote` | `false` | | `employment_type` | `Full Time` | | `compensation` | `€76K – €185K • Offers Equity` | | `apply_url` | `https://stripe.com/jobs/...` | | `posted_at` | `2026-06-01T00:00:00Z` | | `job_id` | `7954688` | | `description` | full text (optional) | ### Why use it - **One schema, three ATS** — stop writing a parser per company. - **Auto-detect ATS** — pass `"stripe"` and it figures out the rest. - **High volume, always fresh** — 4 companies already return 1,000+ jobs; run it daily. - **Clean apply links & compensation** — normalized for filtering and dedupe. ### Zero-config Run it with **no input** and it scrapes a **curated list of 107 well-known companies** (Databricks, OpenAI, Stripe, MongoDB, Datadog, Snowflake, Airbnb, Spotify…) — **~10,700 fresh jobs** in one run. Or pass your own company list to target exactly who you care about. ### Input ```json { "companies": ["greenhouse:stripe", "lever:netflix", "ashby:ramp", "plaid"], "includeDescription": false, "maxPerCompany": 0 } ```` - `companies` — `"ats:token"` or just `"token"` to auto-detect. **Leave empty to use the 107-company curated default.** - `includeDescription` — include full job text (bigger output). - `maxPerCompany` — cap per company (`0` = all). ### Use cases - **Job boards & aggregators** — backfill thousands of fresh roles daily. - **Recruiters / sales intel** — track who's hiring, for what, where, at what pay. - **Talent market research** — department/stack/comp/remote trends across companies. - **AI / dataset builders** — unified structured job corpus. Run locally with `python3 src/main.py`, or on Apify with pay-per-result pricing. # Actor input Schema ## `companies` (type: `array`): Each item is "ats:token" (e.g. "greenhouse:stripe", "lever:netflix", "ashby:ramp") or just "token" to auto-detect the ATS. Leave EMPTY to use a curated list of 107 well-known companies (~10,700 fresh jobs). ## `includeDescription` (type: `boolean`): Include the full job description text (larger output). ## `maxPerCompany` (type: `integer`): Cap jobs returned per company. 0 = all. ## Actor input object example ```json { "companies": [], "includeDescription": false, "maxPerCompany": 0 } ``` # 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": [] }; // Run the Actor and wait for it to finish const run = await client.actor("dataset-smith/multi-ats-job-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": [] } # Run the Actor and wait for it to finish run = client.actor("dataset-smith/multi-ats-job-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": [] }' | apify call dataset-smith/multi-ats-job-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dataset-smith/multi-ats-job-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Multi-ATS Job Scraper (Greenhouse, Lever, Ashby)", "description": "Scrape all open jobs from any company's Greenhouse, Lever, Ashby, or SmartRecruiters careers page into one unified structured dataset. Auto-detects the ATS. No login or proxies.", "version": "0.1", "x-build-id": "7O8EyO8b3Jm7zBLHN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dataset-smith~multi-ats-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dataset-smith-multi-ats-job-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/dataset-smith~multi-ats-job-scraper/runs": { "post": { "operationId": "runs-sync-dataset-smith-multi-ats-job-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/dataset-smith~multi-ats-job-scraper/run-sync": { "post": { "operationId": "run-sync-dataset-smith-multi-ats-job-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", "type": "array", "description": "Each item is \"ats:token\" (e.g. \"greenhouse:stripe\", \"lever:netflix\", \"ashby:ramp\") or just \"token\" to auto-detect the ATS. Leave EMPTY to use a curated list of 107 well-known companies (~10,700 fresh jobs).", "items": { "type": "string" } }, "includeDescription": { "title": "Include full description", "type": "boolean", "description": "Include the full job description text (larger output).", "default": false }, "maxPerCompany": { "title": "Max jobs per company", "minimum": 0, "type": "integer", "description": "Cap jobs returned per company. 0 = all.", "default": 0 } } }, "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 } } } } } } } } } } ```