# Career Site Jobs Scraper: Greenhouse, Lever, Ashby, Workable (`nickatnite79/career-site-jobs-scraper`) Actor Scrape all open jobs from Greenhouse, Lever, Ashby & Workable career sites in one normalized schema. Fast, no proxy, $0.001 per job. - **URL**: https://apify.com/nickatnite79/career-site-jobs-scraper.md - **Developed by:** [Nicholas Tamagni](https://apify.com/nickatnite79) (community) - **Categories:** Jobs, AI, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 jobs 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Career Site Jobs Scraper: Greenhouse, Lever, Ashby & Workable Pull every open job straight from company career sites powered by **Greenhouse, Lever, Ashby, and Workable**, using their official public job-board feeds. There is no browser, no proxy, and no login, so it is fast (hundreds of jobs in seconds) and doesn't break when page layouts change. Every job comes back in one normalized schema, ready for AI agents, job boards, recruiters, and sales-signal tools. ### Pricing **$0.001 per job ($1 per 1,000 jobs), no start fee.** You pay only for results saved to the dataset. Failed inputs are free. ### Use cases - Build a niche job board or job alert feed from target companies - Hiring-signal prospecting: find companies hiring for roles you sell into - Recruiting and competitive intel: track headcount plans by department and location - Feed AI agents and RAG pipelines with clean, fresh job data ### Input Add company slugs or careers URLs. A bare slug like `airbnb` is auto-detected across all four ATSs. Force one with `greenhouse:`, `lever:`, `ashby:`, or `workable:`. You can also filter by keywords, locations, remote only, or posted within N days. ### Output fields ats, company, companySlug, id, title, location, department, employmentType, workplaceType, remote, salary (when published), postedAt, url, applyUrl, description (plain text), scrapedAt Companies that can't be found are skipped and never charged. ### Live example A real run on 2026-10-16 finished with status **SUCCEEDED**, returned **20 results** in about 5 s, and used about $0.00023 of platform compute. Input: ```json { "companies": [ "airbnb", "lever:spotify", "https://jobs.ashbyhq.com/ramp", "https://apply.workable.com/huggingface", "nonexistentco123" ], "keywords": [ "engineer" ], "maxJobsPerCompany": 5, "remoteOnly": false, "postedWithinDays": 0, "includeDescription": true } ``` First results: ```json [ { "ats": "greenhouse", "companySlug": "airbnb", "id": "7839229", "title": "Community Support Forecasting and Demand Planning Analyst", "company": "Airbnb", "location": "United States ", "department": "Community Support", "employmentType": null, "workplaceType": "Remote", "remote": true, "postedAt": "2026-04-24T17:11:08-04:00", "url": "https://careers.airbnb.com/positions/7839229?gh_jid=7839229", "applyUrl": "https://careers.airbnb.com/positions/7839229?gh_jid=7839229", "salary": null, "description": "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every co…", "scrapedAt": "2026-10-16T00:39:18.257Z" }, { "ats": "greenhouse", "companySlug": "airbnb", "id": "8031901", "title": "Data Scientist - Algorithms, Community Support", "company": "Airbnb", "location": "Remote - USA", "department": "Data Science", "employmentType": null, "workplaceType": "Remote", "remote": true, "postedAt": "2026-06-28T13:01:24-04:00", "url": "https://careers.airbnb.com/positions/8031901?gh_jid=8031901", "applyUrl": "https://careers.airbnb.com/positions/8031901?gh_jid=8031901", "salary": null, "description": "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every co…", "scrapedAt": "2026-10-16T00:39:18.257Z" } ] ``` ### Use with AI agents (MCP) This Actor is available as a tool through the Apify MCP server (`https://mcp.apify.com`). Agents get a small, predictable JSON schema and per-result pricing. ### FAQ **Do I need proxies or cookies?** No. **Is it legal?** It only reads publicly available data. Make sure your use complies with the source site's terms and local law. **Something broke or missing a field?** Open an issue on the Issues tab. Fixes usually ship within 24 hours. # Actor input Schema ## `companies` (type: `array`): Company job board slugs or careers URLs. Examples: 'airbnb' (auto-detect), 'lever:spotify', 'https://jobs.ashbyhq.com/ramp', 'https://apply.workable.com/huggingface'. ## `keywords` (type: `array`): Keep jobs whose title, department, or description contains any of these (case-insensitive). Leave empty for all. ## `locations` (type: `array`): Keep jobs whose location contains any of these, e.g. 'New York', 'Remote', 'United Kingdom'. ## `remoteOnly` (type: `boolean`): Only return remote jobs. ## `postedWithinDays` (type: `integer`): Only jobs posted in the last N days (0 = any). ## `includeDescription` (type: `boolean`): Include plain-text job description. ## `maxJobsPerCompany` (type: `integer`): 0 = no limit. ## Actor input object example ```json { "companies": [ "airbnb", "lever:spotify", "https://jobs.ashbyhq.com/ramp", "https://apply.workable.com/huggingface" ], "keywords": [ "engineer" ], "remoteOnly": false, "postedWithinDays": 0, "includeDescription": true, "maxJobsPerCompany": 25 } ``` # Actor output Schema ## `results` (type: `string`): No 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": [ "airbnb", "lever:spotify", "https://jobs.ashbyhq.com/ramp", "https://apply.workable.com/huggingface" ], "keywords": [ "engineer" ], "maxJobsPerCompany": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("nickatnite79/career-site-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": [ "airbnb", "lever:spotify", "https://jobs.ashbyhq.com/ramp", "https://apply.workable.com/huggingface", ], "keywords": ["engineer"], "maxJobsPerCompany": 25, } # Run the Actor and wait for it to finish run = client.actor("nickatnite79/career-site-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).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": [ "airbnb", "lever:spotify", "https://jobs.ashbyhq.com/ramp", "https://apply.workable.com/huggingface" ], "keywords": [ "engineer" ], "maxJobsPerCompany": 25 }' | apify call nickatnite79/career-site-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,nickatnite79/career-site-jobs-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/Ix6uMLB1tDBss5ehL/builds/P9uF3FSFK3ju8kfrV/openapi.json