# Career Site Jobs Scraper: Greenhouse, Lever, Workday, Ashby (`4b47/career-site-jobs`) Actor Scrape every open job from company career sites: Greenhouse, Lever, Workday, Ashby, Workable, Recruitee, Teamtailor, Breezy HR. Paste careers URLs, domains or company names. Salaries, remote flag, Markdown descriptions, new-job alerts. $0.80 per 1,000 jobs. - **URL**: https://apify.com/4b47/career-site-jobs.md - **Developed by:** [Kacper Gumieniuk](https://apify.com/4b47) (community) - **Categories:** Jobs, Lead generation, Automation - **Features:** Limited permissions - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 1,000 job listeds 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 gets every open job from company career pages** on Greenhouse, Lever, Workday, Ashby, Workable, Recruitee, Teamtailor and Breezy HR in one clean dataset: title, department, **locations, remote / hybrid / on-site, salary range**, posting date, apply URL and the **full job description in Markdown**. Paste careers page URLs, company domains or just company names: the applicant tracking system (ATS) is **detected for you**. **Try it now:** press **Start**. The prefilled input reads 4 companies (25 jobs each) in about 20 seconds and costs less than $0.10. Price: **$0.80 per 1,000 jobs**. Companies without a job board and jobs removed by your filters are free. Apify's free plan ($5 of monthly credit) covers about **6,000 jobs a month**. It reads the **public job board feeds** that the ATS vendors publish for exactly this purpose (the same feeds that power each company's own careers page): no login, no proxies, no browser. In our benchmark 8,376 jobs from 40 companies took 20 seconds. ### Use cases - **New-job alerts and monitoring:** schedule a daily run with *Only new jobs* and send new postings to Slack, email, Google Sheets, Make, Zapier or n8n. Already-seen jobs are free, so a daily monitor costs cents. - **Job boards and aggregators:** fill a niche board (remote, AI, fintech, a city) straight from employers' ATSes, with salaries and clean descriptions. - **Sales and hiring signals:** see which target accounts are hiring for what (a company opening 10 data-engineering roles is buying data tools). Filter by department, keyword or location. - **Salary benchmarking:** pay ranges by title, location and company, from postings that publish them (US pay transparency laws make this common; 62% of jobs in our benchmark had a salary). - **Recruiting and market research:** track competitors' open roles, team growth and new office locations. - **LLM and RAG pipelines:** job descriptions arrive as Markdown, ready for embeddings, classification or an AI agent. ### Supported job boards | ATS | Example input | Salary | Notes | | --- | --- | --- | --- | | **Greenhouse** | `https://boards.greenhouse.io/anthropic`, `job-boards.greenhouse.io/...`, embedded boards | parsed from description | board name as company | | **Lever** | `https://jobs.lever.co/spotify` (EU: `jobs.eu.lever.co`) | structured `salaryRange` or parsed | team, commitment, workplace type | | **Ashby** | `https://jobs.ashbyhq.com/ramp` | **structured compensation** | secondary locations, remote flag | | **Workday** | `https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite` | parsed from description | details per job (description, exact date, req ID) | | **Workable** | `https://apply.workable.com/huggingface` | parsed | telecommuting flag | | **Recruitee** | `bunq.recruitee.com` | structured or parsed | hybrid / remote / on-site | | **Teamtailor** | `https://career.teamtailor.com`, custom career domains | parsed | remote status, department | | **Breezy HR** | `https://acme.breezy.hr` | structured text | no descriptions in the public feed | Shortcuts work too: `greenhouse:stripe`, `lever:spotify`, `ashby:ramp`, `workday:nvidia.wd5/NVIDIAExternalCareerSite`. ### How to use Career Site Jobs Scraper 1. Paste companies into **Companies**, one per line, in any of three forms: - **job board URL** (fastest, exact): any link from the table above; - **careers page or domain**: `notion.com`, `https://www.notion.com/careers`. The actor reads the page (and `/careers`, `/jobs`, `careers.` for a bare domain) and finds the ATS link or embed; - **company name**: `Figma`, `Scale AI`. The actor tries the name as a board on Greenhouse, Lever, Ashby, Workable, Recruitee and Breezy. Such jobs carry `"detectedBy": "slug-guess"`: check the company on the first run. 2. Optionally add **filters** (title keywords, locations, remote only, departments, posted within N days). 3. **Max jobs per company** is prefilled with 25 for a cheap first run. Clear it to get whole boards (up to 2,000). 4. Press **Start**, then export the dataset to CSV, Excel or JSON, or read it with the API. 5. For alerts, turn on **Only new jobs**, give a **Monitor name** and create a **Schedule** (e.g. daily). ### Input ```json { "companies": [ "https://boards.greenhouse.io/anthropic", "notion.com", "https://jobs.lever.co/spotify", "Figma", "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite" ], "keywords": ["engineer", "developer"], "excludeKeywords": ["intern"], "locations": ["Remote", "London"], "postedWithinDays": 14, "onlyNewJobs": true, "monitorName": "eng-roles" } ``` | Field | What it does | | --- | --- | | `companies` | Up to 5,000 board URLs, careers pages, domains, names or shortcuts. | | `keywords` / `excludeKeywords` | Title filter; every word of a phrase must appear (`"senior engineer"` matches "Senior Software Engineer"). `searchDescription` also searches the description. | | `locations`, `remoteOnly`, `departments`, `postedWithinDays` | More filters. Filtered-out jobs are not charged. | | `onlyNewJobs`, `monitorName` | Monitoring: output only jobs not seen in earlier runs of the same monitor (first run = everything). | | `descriptionFormat` | `markdown` (default), `text`, `html` (as published) or `none` (small dataset). | | `maxJobsPerCompany` | Default 2,000 (Workday's own listing limit); prefilled with 25 in Console for a quick test. | | `workdayDetails` | Read each Workday job page (description, exact date, salary). Off = faster, title/location only. | ### Output One item per job. A real example (description shortened): ```json { "type": "job", "ats": "workday", "jobId": "JR2028322", "title": "Senior Solutions Architect, Telco", "company": "NVIDIA USA", "employmentType": "Full time", "workplaceType": "unknown", "isRemote": false, "location": "US, WA, Seattle", "locations": ["US, WA, Seattle", "US, TX, Remote", "US, WA, Remote", "US, CA, Remote", "US, CA, Santa Clara"], "country": "United States of America", "salary": { "min": 184000, "max": 287500, "currency": "USD", "interval": "year", "source": "description", "text": "184,000 USD – 287,500 USD" }, "postedAt": "2026-11-02T00:00:00.000Z", "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-WA-Seattle/Senior-Solutions-Architect--Telco_JR2028322", "applyUrl": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-WA-Seattle/Senior-Solutions-Architect--Telco_JR2028322/apply", "description": "We’re hiring a Senior Solutions Architect to drive technical engagement with T-Mobile/AT&T/Verizon accounts ...", "boardSlug": "nvidia", "input": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite", "isNew": true, "firstSeenAt": "2026-11-02T20:28:23.320Z", "descriptionFormat": "markdown", "scrapedAt": "2026-11-02T20:28:23.320Z" } ``` - `salary.source` is `ats` when the ATS publishes structured pay (Ashby, Lever, Recruitee) and `description` when the range was read from the posting text (`$120,000 - $150,000`, `€60.000 – 80.000`, `$45-$60/hr`, `£45k to £55k`). Only ranges with a currency are taken. - `isNew` and `firstSeenAt` appear when monitoring is on. - The dataset has three views: **Jobs** (table with flattened salary), **New jobs** and **Descriptions**. - The **Run summary** output (`SUMMARY` record) lists every input with the detected board, open, matched and pushed jobs, and why a company was not found. ### How much does it cost to scrape career sites? Pay per event: you pay only for jobs you get. | Event | Price | Example | | --- | --- | --- | | Job listed (one job in the dataset) | **$0.0008** | 1,000 jobs = **$0.80** | | Actor start (per run) | $0.003 | a daily monitor = $0.09 a month | | Company without a job board, filtered-out job, already-seen job | free | | Everything is included: detection, salaries, descriptions, Workday details and monitoring. Platform usage is included in these prices. Apify's free plan ($5 of monthly credit) covers about 6,000 jobs. Set a **maximum cost per run** in the run options and the actor stops when it is reached. ### Monitoring new jobs 1. Turn on **Only new jobs** and give a **Monitor name** (e.g. `fintech-eng`). 2. Run once: you get all current jobs (the baseline). 3. Schedule the actor (Console → Schedules, e.g. daily). Each run outputs only jobs that appeared since, and the `SUMMARY` record counts jobs closed since the last run. 4. Add an integration (Slack, email, webhook, Google Sheets) on *Run succeeded* to get alerts. Seen jobs are stored in a named key-value store `career-jobs-monitor-` in your own Apify account. A job that disappears and comes back within 30 days is not reported again. ### FAQ #### Is scraping career sites allowed? It uses the public job board endpoints the ATS vendors document and the companies publish so that their jobs are found and syndicated. No login, no personal data: job postings describe roles, not people. Career pages are fetched only to find the job board, with robots.txt respected. SmartRecruiters and Personio are not supported because their robots.txt disallows automated access. #### Why did a company name not resolve? Its board uses a different name, or it runs its own career site (Deel, Retool, Rippling). Give the careers page URL or the board URL instead. The `SUMMARY` record says why each input had no board. If the careers page loads jobs only through JavaScript from an unlisted ATS, the actor cannot see it. #### How fresh is the data? Live: every run reads the ATS at that moment. There is no cache and no stale index. #### How fast is it? Greenhouse, Lever, Ashby, Workable, Recruitee, Teamtailor and Breezy return a whole board in one request (hundreds of jobs per second overall). Workday needs one request per 20 listed jobs plus one per job for details (about 3-4 jobs per second per company; turn off `workdayDetails` for speed). #### Can I use it from an AI agent or my code? Yes. Call it through the Apify API (`run-sync-get-dataset-items` returns the jobs in one request), the JavaScript and Python clients, or the Apify MCP server, where AI agents can find and run it as a tool. #### Something went wrong. What should I check? Open the run's **Run summary** output: each input has an `error` saying what happened (no board found, not a valid URL, board empty). Jobs are not charged for inputs that failed. If a board that worked before stops working, open an issue on the **Issues** tab with the input; we answer there. ### Integrations and API Export to CSV, Excel, JSON or HTML; connect Google Sheets, Slack, Make, Zapier, n8n or webhooks; schedule runs; call the actor from the Apify API, the JavaScript and Python clients, or the Apify MCP server. ### Related actors - [Image to Text OCR](https://apify.com/4b47/image-pdf-ocr): text from images and scanned PDFs. - [Email Domain Validator](https://apify.com/4b47/domain-trust-checker): check company domains and emails (MX, disposable, SPF/DMARC, domain age) before outreach. - [URL to Markdown for LLM & RAG](https://apify.com/4b47/llm-ready-markdown): any page or PDF as clean Markdown. Not affiliated with Greenhouse, Lever, Workday, Ashby, Workable, Recruitee, Teamtailor or Breezy HR. Their names are used only to describe which job boards this actor reads. # Actor input Schema ## `companies` (type: `array`): One per line, up to 5,000. Any of: a job board URL (boards.greenhouse.io/stripe, jobs.lever.co/spotify, jobs.ashbyhq.com/ramp, nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite, apply.workable.com/huggingface, bunq.recruitee.com, acme.teamtailor.com, acme.breezy.hr), a careers page URL or company domain (the job board is detected from the page), a company name (the board is guessed from the name), or a shortcut like greenhouse:stripe. ## `keywords` (type: `array`): Keep jobs whose title contains any of these (all words of a phrase must appear: "senior engineer" matches "Senior Software Engineer"). Empty = all jobs. ## `excludeKeywords` (type: `array`): Drop jobs whose title contains any of these (e.g. intern, manager). ## `locations` (type: `array`): Keep jobs whose location contains any of these (city, state, country or "remote"), e.g. London, Germany, Remote. ## `remoteOnly` (type: `boolean`): Keep only jobs marked remote by the ATS or with "remote" in the title or location. ## `departments` (type: `array`): Keep jobs whose department or team contains any of these (e.g. Engineering, Sales). ## `postedWithinDays` (type: `integer`): Keep only jobs posted in the last N days. Jobs without a posting date are dropped when this is set. ## `searchDescription` (type: `boolean`): Also match job title keywords against the full job description (e.g. find every job that mentions Kubernetes). ## `onlyNewJobs` (type: `boolean`): Output only jobs that were not on the board in an earlier run with the same monitor name. The first run outputs everything and remembers it. Schedule the actor daily to get new-job alerts; already-seen jobs are free. ## `monitorName` (type: `string`): Separates independent monitors (e.g. "fintech-engineering"). Seen jobs are stored in a named key-value store career-jobs-monitor- in your account. Setting a name also adds isNew and firstSeenAt to every job. ## `descriptionFormat` (type: `string`): Markdown keeps headings, lists and links (good for LLMs). None makes the dataset much smaller. ## `maxJobsPerCompany` (type: `integer`): Upper limit per job board, before filters. Prefilled with 25 so the first run is quick and costs cents; clear it (default 2,000, Workday's own listing limit) to get whole boards. ## `workdayDetails` (type: `boolean`): Workday lists only title, location and a relative date. With this on, each job's page is read for the description, exact posting date, job ID and salary (slower: one request per job). ## `maxConcurrency` (type: `integer`): Companies processed in parallel. ## Actor input object example ```json { "companies": [ "https://boards.greenhouse.io/anthropic", "notion.com", "https://jobs.lever.co/spotify", "Figma" ], "remoteOnly": false, "searchDescription": false, "onlyNewJobs": false, "descriptionFormat": "markdown", "maxJobsPerCompany": 25, "workdayDetails": true, "maxConcurrency": 5 } ``` # Actor output Schema ## `results` (type: `string`): Every job found, one item per posting (table views: Jobs, New jobs, Descriptions). ## `summary` (type: `string`): Per input: detected job board, open, matched and pushed jobs, and why a company had no board. # 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": [ "https://boards.greenhouse.io/anthropic", "notion.com", "https://jobs.lever.co/spotify", "Figma" ], "maxJobsPerCompany": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("4b47/career-site-jobs").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": [ "https://boards.greenhouse.io/anthropic", "notion.com", "https://jobs.lever.co/spotify", "Figma", ], "maxJobsPerCompany": 25, } # Run the Actor and wait for it to finish run = client.actor("4b47/career-site-jobs").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": [ "https://boards.greenhouse.io/anthropic", "notion.com", "https://jobs.lever.co/spotify", "Figma" ], "maxJobsPerCompany": 25 }' | apify call 4b47/career-site-jobs --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,4b47/career-site-jobs" } } } ``` 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/ZcbIc0XDPbNbVlJyn/builds/Gv8l1HrBN3defVhh9/openapi.json