Job Boards Scraper — Greenhouse, Lever, Ashby, Workable, ATS avatar

Job Boards Scraper — Greenhouse, Lever, Ashby, Workable, ATS

Pricing

from $1.40 / 1,000 jobs

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Job Boards Scraper — Greenhouse, Lever, Ashby, Workable, ATS

Job Boards Scraper — Greenhouse, Lever, Ashby, Workable, ATS

Open jobs straight from company career boards on Greenhouse, Lever, Ashby, Workable, SmartRecruiters and Recruitee — one unified schema with title, department, location, remote flag, salary, dates, apply URL and full description. Paste a board URL or a company slug.

Pricing

from $1.40 / 1,000 jobs

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0.0

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Developer

Chorelet

Chorelet

Maintained by Community

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0

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1

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17 days ago

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Job postings straight from company job boards on six applicant tracking systems — Greenhouse, Lever, Ashby, Workable, SmartRecruiters and Recruitee — in one schema. Title, location, remote flag, department, employment type, salary where it is published, the full description and the apply link.

Six applicant tracking systems are supported: Greenhouse, Lever, Ashby, Workable, SmartRecruiters and Recruitee. Each one is read through its own public job-board API — the same endpoint the company's careers page calls in your browser. No keys, no login, no proxies, nothing parsed out of HTML.

Why this Actor

  • The source, not an aggregator. Job boards copy from each other and lag by days; this reads the company's own board, so a posting shows up the minute it is published.
  • Built for a schedule. Only new since the last run remembers what each board has already returned, so a daily run is a list of roles opened since yesterday instead of the whole board again.
  • Six ATS platforms, one table. Greenhouse, Lever, Ashby, Workable, SmartRecruiters and Recruitee normalised to the same fields — no six parsers to maintain.
  • Paste anything. A board URL, greenhouse:stripe, or just stripe: the platform is detected for you.
  • Built for daily runs. postedAfter: "24 hours" plus keyword, location and remote filters return only what is new, and you pay only for the rows you keep.

Sample output

One item of the dataset (long values shortened):

See the Output tab of any run.

What you get

  • Six ATS platforms, one schema — compare companies without writing six parsers
  • Auto-detection: paste stripe and the Actor finds the platform for you
  • Keyword, location, remote-only and date filters, so a daily run returns only what is new
  • Salary parsed into salaryMin / salaryMax / salaryCurrency wherever the board publishes it
  • Full description as HTML and as plain text, switchable off for a lighter dataset
  • Monitored daily

Input

  • Company job boards — any mix of:
    • board URLs: https://boards.greenhouse.io/stripe, https://job-boards.greenhouse.io/figma, https://jobs.lever.co/leverdemo, https://jobs.ashbyhq.com/ramp, https://apply.workable.com/stiiizy, https://careers.smartrecruiters.com/ServiceNow, https://acme.recruitee.com
    • explicit form: greenhouse:stripe, lever:netflix
    • bare company slug: stripe — every ATS is tried until one answers
  • Keywords, Locations, Remote only, Only jobs posted after, Max jobs per company, Include job descriptions.
  • Only new since the last run — for schedules: the Actor remembers the openings it has already returned per board and saves only the ones that appeared since. A board always lists everything it has open, so this is the difference between a daily feed of new roles and the same 700 jobs every morning. The state lives in a key-value store on your own account, one per task, and a run with nothing new costs only the run start.

Limits and notes

  • Only public boards are readable. A careers page built on something else (Workday, Taleo, SAP SuccessFactors, a custom CMS) is not supported — the Actor reports it per company in the run summary instead of failing the whole run.
  • company is the name the board publishes; Lever, Ashby and Recruitee do not publish one, so the slug is used.
  • SmartRecruiters keeps descriptions on a separate endpoint: with descriptions on, it costs one extra request per job (turn them off for large boards).
  • Salary is published by a minority of companies — mostly on Ashby and Lever, and for roles in jurisdictions with pay-transparency laws.

Input example

{
"companies": [
"https://boards.greenhouse.io/stripe",
"https://jobs.ashbyhq.com/ramp",
"lever:leverdemo"
],
"remoteOnly": false,
"postedAfter": "30 days",
"onlyNew": false,
"maxJobsPerCompany": 100,
"includeDescription": true
}

How much does it cost?

Pay per job — no subscription, no minimum, no charge for platform usage.

VolumePrice
1,000 jobs$2.00
10,000 jobs$20.00
100,000 jobs$200.00

The Apify free plan includes $5 of usage every month — about 2,500 jobs with this Actor, no card needed. Nothing else is charged: platform usage is included in the price, and Apify Bronze, Silver and Gold subscribers get 10%, 20% and 30% off these prices.

Use it from code, n8n, Make, Zapier or an AI agent

Run the Actor and download the dataset in one call (JSON by default; add &format=csv or xlsx):

curl -X POST "https://api.apify.com/v2/acts/chorelet~ats-jobs-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"companies": ["https://boards.greenhouse.io/stripe", "https://jobs.ashbyhq.com/ramp", "lever:leverdemo"], "remoteOnly": false, "postedAfter": "30 days", "onlyNew": false, "maxJobsPerCompany": 100, "includeDescription": true}'

Python:

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("chorelet/ats-jobs-scraper").call(run_input={"companies": ["https://boards.greenhouse.io/stripe", "https://jobs.ashbyhq.com/ramp", "lever:leverdemo"], "remoteOnly": false, "postedAfter": "30 days", "onlyNew": false, "maxJobsPerCompany": 100, "includeDescription": true})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
  • n8n, Make, Zapier — use the Apify node/module: run the Actor, then "get dataset items".
  • Google Sheets, Slack, webhooks — add an integration on the run's Integrations tab.
  • AI agents — the Actor is available as a tool through the Apify MCP server; the dataset schema describes every field for the model.
  • Schedules — run it hourly, daily or weekly from the Schedules tab.

FAQ

Which companies can I track?

Any company whose careers page runs on Greenhouse, Lever, Ashby, Workable, SmartRecruiters or Recruitee — that is most of the startup and tech world. Open a company's careers page and look at the URL: if it contains greenhouse.io, lever.co, ashbyhq.com, workable.com, smartrecruiters.com or recruitee.com, it works. Workday, Taleo and custom career sites are not supported.

Can I get only the jobs that appeared since my last run?

Yes — switch on Only new since the last run. The Actor remembers the job ids it returned per board in a key-value store on your account and drops them before the per-company cap, so the quota is spent on new roles. A morning with no new openings costs only the run start.

Do I need an API key from the ATS?

No. Every platform publishes its job board through a public endpoint that needs no authentication — the same one the careers page itself calls.

How do I watch many companies?

Put every board on its own line in the input, set postedAfter to 24 hours and schedule the Actor daily. Each run returns just the new postings, so a watchlist of 50 companies costs cents a day.

Why is the salary empty?

Most companies do not publish one. When a board does (Ashby and Lever most often), you get the text exactly as published plus a parsed range in salaryMin, salaryMax and salaryCurrency.

Is scraping job boards legal?

The Actor reads public job listings that companies publish for candidates, through the platforms' own public endpoints, and it does not touch applicant data. You are responsible for how you use the data.

Support

Questions, missing fields or a source that changed? Open an issue on the Issues tab or write to support@chorelet.app — problems are usually fixed within a day, and the Actor is checked every morning by an automated test run. If the Actor saved you time, a short review on its Store page helps other people find it.