# ATS Jobs Scraper — Greenhouse, Lever, Ashby, Workable + more (`jgdata/ats-jobs-scraper`) Actor Scrape live job postings from 5 ATS platforms in one run — Greenhouse, Lever, Ashby, Workable, SmartRecruiters. Normalized schema: title, location, department, remote, salary, apply URL. Official public APIs: no proxies, no breakage. For B2B lead gen, recruiting, and job boards. - **URL**: https://apify.com/jgdata/ats-jobs-scraper.md - **Developed by:** [Jack Gendron](https://apify.com/jgdata) (community) - **Categories:** Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Jobs Scraper — Greenhouse, Lever, Ashby, Workable & SmartRecruiters Scrape **live job postings from 5 applicant tracking systems** in one run, normalized to a single clean schema. Point it at any company's job board using a simple `platform:slug` shorthand or just paste the careers-page URL — the platform is auto-detected. Built on official public job-board APIs: **HTTP-only, no headless browsers, no proxies, no anti-bot breakage.** Runs are fast, cheap, and reliable. ### What you get One row per job posting: | Field | Example | |---|---| | `company` | `stripe` | | `platform` | `greenhouse` | | `title` | `AI Engineer` | | `department` | `Solutions Architecture` | | `location` | `Chicago` | | `remote` | `false` | | `employmentType` | `Full-time` | | `salaryMin` / `salaryMax` / `salaryCurrency` | `140000` / `180000` / `USD` | | `publishedAt` / `updatedAt` | ISO dates | | `applyUrl` | direct apply link | | `description` | full text (optional toggle) | Salary is taken from structured ATS fields when available (Lever, Ashby) and extracted from the job description as a fallback. ### Supported platforms - **Greenhouse** — `greenhouse:stripe` or `https://boards.greenhouse.io/stripe` - **Lever** — `lever:palantir` or `https://jobs.lever.co/palantir` - **Ashby** — `ashby:ramp` or `https://jobs.ashbyhq.com/ramp` - **Workable** — `workable:blueground` or `https://apply.workable.com/blueground` - **SmartRecruiters** — `smartrecruiters:servicenow` or `https://careers.smartrecruiters.com/...` ### Use cases - **B2B lead generation** — companies actively hiring are companies with budget. Monitor hiring signals across your prospect list. - **Recruiting & sourcing** — track openings across hundreds of target companies without visiting each board. - **Job boards & aggregators** — feed fresh, structured postings into your product. - **Market & salary research** — collect salary ranges and hiring trends by department, location, or remote policy. - **Job seekers** — one filtered feed ("remote", "engineer", "New York") across every company you care about. ### Filters - `titleKeyword` — e.g. `engineer` - `locationKeyword` — e.g. `Remote`, `London` - `departmentKeyword` — e.g. `Sales` - `remoteOnly` — true/false - `maxItemsPerCompany` / `maxItems` — cost control caps ### Example input ```json { "sources": ["greenhouse:stripe", "lever:palantir", "ashby:ramp"], "titleKeyword": "engineer", "remoteOnly": true } ```` ### Scheduling & integrations Run it on a schedule (e.g. daily) and pipe new postings to Slack, email, Google Sheets, or a webhook using Apify integrations. Combine with the run summary (`RUN_SUMMARY` in the key-value store) to monitor which boards returned data. ### Why this Actor - **5 ATS platforms in one** — most alternatives cover 3 or fewer. - **Official public APIs only** — no scraping fragile HTML, so it doesn't break when sites redesign. - **Normalized schema** — identical fields across platforms; no per-platform parsing on your side. - **Pay per result** — you're only charged for job records actually delivered. # Actor input Schema ## `sources` (type: `array`): One entry per company. Accepts either `platform:slug` (e.g. `greenhouse:stripe`, `lever:plaid`, `ashby:ramp`, `workable:blueground`, `smartrecruiters:bosch`) or a careers-board URL (e.g. `https://boards.greenhouse.io/stripe`, `https://jobs.lever.co/plaid`) — the platform is auto-detected from the URL. ## `titleKeyword` (type: `string`): Only return jobs whose title contains this text (case-insensitive). Leave empty for all jobs. ## `locationKeyword` (type: `string`): Only return jobs whose location contains this text (case-insensitive), e.g. `Remote`, `New York`, `Germany`. ## `departmentKeyword` (type: `string`): Only return jobs whose department/team contains this text (case-insensitive), e.g. `Engineering`. ## `remoteOnly` (type: `boolean`): Only return jobs flagged or labeled as remote. ## `includeDescription` (type: `boolean`): Include the full job description text in each record. Turn off for a lighter dataset. ## `maxItemsPerCompany` (type: `integer`): Cap on the number of jobs returned per company (after filtering). 0 = unlimited. ## `maxItems` (type: `integer`): Overall cap on jobs returned across all companies. 0 = unlimited. ## Actor input object example ```json { "sources": [ "greenhouse:stripe", "lever:plaid", "ashby:ramp" ], "remoteOnly": false, "includeDescription": false, "maxItemsPerCompany": 0, "maxItems": 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 = { "sources": [ "greenhouse:stripe", "lever:plaid", "ashby:ramp" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jgdata/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 = { "sources": [ "greenhouse:stripe", "lever:plaid", "ashby:ramp", ] } # Run the Actor and wait for it to finish run = client.actor("jgdata/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 '{ "sources": [ "greenhouse:stripe", "lever:plaid", "ashby:ramp" ] }' | apify call jgdata/ats-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jgdata/ats-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ATS Jobs Scraper — Greenhouse, Lever, Ashby, Workable + more", "description": "Scrape live job postings from 5 ATS platforms in one run — Greenhouse, Lever, Ashby, Workable, SmartRecruiters. Normalized schema: title, location, department, remote, salary, apply URL. Official public APIs: no proxies, no breakage. For B2B lead gen, recruiting, and job boards.", "version": "1.0", "x-build-id": "fORJdtuUv64fyQYTa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jgdata~ats-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jgdata-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jgdata~ats-jobs-scraper/runs": { "post": { "operationId": "runs-sync-jgdata-ats-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jgdata~ats-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-jgdata-ats-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "sources" ], "properties": { "sources": { "title": "Companies / job boards", "type": "array", "description": "One entry per company. Accepts either `platform:slug` (e.g. `greenhouse:stripe`, `lever:plaid`, `ashby:ramp`, `workable:blueground`, `smartrecruiters:bosch`) or a careers-board URL (e.g. `https://boards.greenhouse.io/stripe`, `https://jobs.lever.co/plaid`) — the platform is auto-detected from the URL.", "items": { "type": "string" } }, "titleKeyword": { "title": "Job title contains", "type": "string", "description": "Only return jobs whose title contains this text (case-insensitive). Leave empty for all jobs." }, "locationKeyword": { "title": "Location contains", "type": "string", "description": "Only return jobs whose location contains this text (case-insensitive), e.g. `Remote`, `New York`, `Germany`." }, "departmentKeyword": { "title": "Department contains", "type": "string", "description": "Only return jobs whose department/team contains this text (case-insensitive), e.g. `Engineering`." }, "remoteOnly": { "title": "Remote jobs only", "type": "boolean", "description": "Only return jobs flagged or labeled as remote.", "default": false }, "includeDescription": { "title": "Include full job description", "type": "boolean", "description": "Include the full job description text in each record. Turn off for a lighter dataset.", "default": false }, "maxItemsPerCompany": { "title": "Max jobs per company", "minimum": 0, "type": "integer", "description": "Cap on the number of jobs returned per company (after filtering). 0 = unlimited.", "default": 0 }, "maxItems": { "title": "Max jobs total", "minimum": 0, "type": "integer", "description": "Overall cap on jobs returned across all companies. 0 = unlimited.", "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 } } } } } } } } } } ```