# Greenhouse, Lever & Ashby Jobs Scraper (`seemuapps/ats-jobs-scraper`) Actor Scrape live job postings from any company's Greenhouse, Lever, or Ashby careers board — title, department, location, remote flag, apply URL, and full description in one row per job. - **URL**: https://apify.com/seemuapps/ats-jobs-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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. 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 Scrape live job postings straight from any company's **Greenhouse**, **Lever**, or **Ashby** careers board — no login, no API key. Get one clean row per job with title, department, location, remote flag, apply URL, and the full description. ### What you get - **Source & company** — which board the job came from and the company token - **Title, department, and team** - **Location** plus an `isRemote` flag detected from the posting - **Employment type** — full-time, contract, etc. (where the board exposes it) - **Apply URL** — the direct hosted job link - **Published / updated dates** (where the board exposes them) - **Description** — full job description as clean plain text ### Use cases - **Buyer-intent & hiring signals** — a new job req is one of the strongest sales triggers; track who's hiring for roles that imply they need your product - **Recruiting & talent mapping** — monitor competitor and target-company hiring in one feed - **Market research** — track headcount growth and which teams are expanding - **Job-board aggregation** — power a niche job site from dozens of company boards - **Lead enrichment** — combine detected tech-stack keywords in descriptions with company data ### How to use 1. Add one or more **companies** in `source:board` format (see below) 2. Optionally set **Title Keywords**, a **Location** filter, or **Remote Only** 3. Optionally cap **Max Items** 4. Run the actor — results land in the **Dataset** tab 5. Export to JSON, CSV, Excel, or Google Sheets directly from the Apify console #### Finding the `source:board` token The board token is the company slug in its careers-page URL: | Board | Careers URL | Entry | |-------------|-------------------------------------|------------------------| | Greenhouse | `boards.greenhouse.io/stripe` | `greenhouse:stripe` | | Lever | `jobs.lever.co/spotify` | `lever:spotify` | | Ashby | `jobs.ashbyhq.com/ramp` | `ashby:ramp` | #### Example input ```json { "companies": ["greenhouse:stripe", "lever:spotify", "ashby:ramp"], "keywords": ["engineer", "designer"], "location": "United States", "remoteOnly": false, "maxItems": 100 } ```` ### Output format One dataset record per job posting: ```json { "source": "greenhouse", "company": "stripe", "jobId": "5678901", "title": "Senior Software Engineer", "department": "Engineering", "team": null, "location": "Remote, US", "isRemote": true, "employmentType": null, "url": "https://boards.greenhouse.io/stripe/jobs/5678901", "publishedAt": null, "updatedAt": "2026-05-30T12:00:00Z", "description": "About the role ..." } ``` ### Notes - Filters are applied per run: a job must pass the keyword, location, and remote checks to be kept. - `Max Items` caps the **total** number of postings across all boards. - Some fields (`publishedAt`, `employmentType`) are only populated when the underlying board exposes them. # Actor input Schema ## `companies` (type: `array`): One entry per careers board, formatted as 'source:board'. Source is greenhouse, lever, or ashby. The board token is the company slug in the careers-page URL — e.g. boards.greenhouse.io/STRIPE, jobs.lever.co/SPOTIFY, jobs.ashbyhq.com/RAMP. Example entries: 'greenhouse:stripe', 'lever:spotify', 'ashby:ramp'. ## `keywords` (type: `array`): Optional. Only keep jobs whose title contains at least one of these keywords (case-insensitive). Leave empty to keep all titles. ## `location` (type: `string`): Optional. Only keep jobs whose location contains this text (case-insensitive), e.g. 'London' or 'United States'. ## `remoteOnly` (type: `boolean`): If enabled, only keep jobs detected as remote. ## `maxItems` (type: `integer`): Maximum total number of job postings to push across all boards. 0 = no limit. ## Actor input object example ```json { "companies": [ "greenhouse:stripe", "lever:spotify", "ashby:ramp" ], "keywords": [], "remoteOnly": false, "maxItems": 0 } ``` # Actor output Schema ## `results` (type: `string`): Each record: { source, company, jobId, title, department, team, location, isRemote, employmentType, url, publishedAt, updatedAt, 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": [ "greenhouse:stripe", "lever:spotify", "ashby:ramp" ], "keywords": [], "maxItems": 0 }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/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 = { "companies": [ "greenhouse:stripe", "lever:spotify", "ashby:ramp", ], "keywords": [], "maxItems": 0, } # Run the Actor and wait for it to finish run = client.actor("seemuapps/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 '{ "companies": [ "greenhouse:stripe", "lever:spotify", "ashby:ramp" ], "keywords": [], "maxItems": 0 }' | apify call seemuapps/ats-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/ats-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Greenhouse, Lever & Ashby Jobs Scraper", "description": "Scrape live job postings from any company's Greenhouse, Lever, or Ashby careers board — title, department, location, remote flag, apply URL, and full description in one row per job.", "version": "1.0", "x-build-id": "1x3J8yCb5NsdBZJpv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~ats-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~ats-jobs-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-ats-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~ats-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-ats-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "companies" ], "properties": { "companies": { "title": "Companies (source:board)", "type": "array", "description": "One entry per careers board, formatted as 'source:board'. Source is greenhouse, lever, or ashby. The board token is the company slug in the careers-page URL — e.g. boards.greenhouse.io/STRIPE, jobs.lever.co/SPOTIFY, jobs.ashbyhq.com/RAMP. Example entries: 'greenhouse:stripe', 'lever:spotify', 'ashby:ramp'.", "items": { "type": "string" } }, "keywords": { "title": "Title Keywords", "type": "array", "description": "Optional. Only keep jobs whose title contains at least one of these keywords (case-insensitive). Leave empty to keep all titles.", "items": { "type": "string" } }, "location": { "title": "Location Filter", "type": "string", "description": "Optional. Only keep jobs whose location contains this text (case-insensitive), e.g. 'London' or 'United States'." }, "remoteOnly": { "title": "Remote Only", "type": "boolean", "description": "If enabled, only keep jobs detected as remote.", "default": false }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum total number of job postings to push across all boards. 0 = no limit.", "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 } } } } } } } } } } ```