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Greenhouse, Lever & Ashby Jobs Scraper

Pricing

from $1.20 / 1,000 job postings

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Greenhouse, Lever & Ashby Jobs Scraper

Greenhouse, Lever & Ashby Jobs Scraper

Get every open job from company career boards on Greenhouse, Lever and Ashby in one normalized format: title, location, remote, salary, dates, apply link and description.

Pricing

from $1.20 / 1,000 job postings

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Neatfeeds

Neatfeeds

Maintained by Community

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1

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a day ago

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Get every open job from company career pages hosted on Greenhouse, Lever and Ashby, in one normalized format. Give it company names or board URLs; get back title, location, remote/hybrid/onsite, salary range, posting date, apply link and the full description as plain text.

Price: $1.20 per 1,000 jobs ($0.0012 per job) + $0.00005 per run. 50 jobs cost about $0.06.

Why this actor

  • Three platforms, one schema. Greenhouse, Lever and Ashby jobs come out with the same fields, so you can mix companies from all three in one run and one table.
  • Salaries as numbers. When the employer publishes pay, you get salaryMin, salaryMax, salaryCurrency and (where available) salaryInterval as separate fields, not just a text blurb.
  • Official APIs only. It reads the public job-board APIs these platforms provide for career pages. No browser, no proxies, no login: fast, cheap and stable.
  • Minimal input. A bare company slug like ramp is tried on all three platforms; you don't need to know which one a company uses.
  • Filters before billing. Title keywords, locations, remote-only and posting age are applied before results are saved, so you only pay for jobs you keep.

What you can use it for

  • Track hiring at competitors, customers or prospects (sales triggers, market research).
  • Build job boards and newsletters for a niche (e.g. remote engineering jobs at AI startups).
  • Feed AI agents and recruiting tools with fresh, structured job data.
  • Salary benchmarking: Ashby and many Greenhouse boards publish pay ranges.

Input

Only companies is required.

FieldWhat it does
companies (required)Board URLs (https://boards.greenhouse.io/airbnb, https://jobs.lever.co/palantir, https://jobs.ashbyhq.com/ramp, EU Lever boards too), prefixed slugs (greenhouse:airbnb, lever:palantir, ashby:ramp) or a bare slug (airbnb), which is tried on all three platforms.
titleKeywordsKeep jobs whose title contains any of these words.
locationsKeep jobs whose location contains any of these strings (London, Remote, Germany).
remoteOnlyKeep only remote jobs.
postedWithinDaysKeep only jobs published in the last N days.
includeDescriptionAdd the full description as plain text (default on).
maxResultsPerCompany / maxResultsLimits per company and in total (default: no per-company limit, 1,000 in total).

Example:

{
"companies": ["greenhouse:airbnb", "https://jobs.lever.co/palantir", "ramp"],
"titleKeywords": ["engineer"],
"locations": ["remote", "london"],
"maxResultsPerCompany": 50
}

Output (one item per job)

{
"platform": "ashby",
"company": "ramp",
"jobId": "34413f8d-26bf-4bbc-8ade-eb309a0e2245",
"title": "Security Engineer, Cloud",
"department": "Engineering",
"team": "Backend",
"location": "New York, NY (HQ)",
"allLocations": ["New York, NY (HQ)", "Remote (Canada)", "Remote (US)", "Miami, FL"],
"workplaceType": "hybrid",
"isRemote": true,
"employmentType": "FullTime",
"postedAt": "2026-04-07T17:12:35.753Z",
"url": "https://jobs.ashbyhq.com/ramp/34413f8d-…",
"applyUrl": "https://jobs.ashbyhq.com/ramp/34413f8d-…/application",
"salaryMin": 211400,
"salaryMax": 290600,
"salaryCurrency": "USD",
"salaryInterval": "1 YEAR",
"salaryText": "$211.4K - $290.6K",
"description": "ABOUT RAMP …",
"scrapedAt": "2026-10-19T19:40:48.919Z"
}
FieldMeaning
platform, company, jobIdSource platform (greenhouse, lever, ashby), board slug and the platform's job ID.
title, department, teamJob title and the employer's own grouping.
location, allLocationsMain location and every listed location.
workplaceType, isRemoteremote, hybrid or onsite when the board says so; isRemote is true for remote jobs.
employmentTypeE.g. FullTime on Ashby, the commitment on Lever (not published by Greenhouse).
postedAtFirst publication date, ISO 8601.
url, applyUrlJob page and application form.
salaryMin, salaryMax, salaryCurrency, salaryInterval, salaryTextPay range as numbers plus the original text, when the employer publishes it.
descriptionFull description as plain text (only with includeDescription).
scrapedAtWhen the job was collected.

Pricing

Pay per event, no subscription:

EventPrice
Job returned$0.0012 ($1.20 per 1,000)
Run start$0.00005

Examples:

  • 50 jobs from three companies: 50 × $0.0012 + $0.00005 ≈ $0.06
  • One large board with 600 open jobs: $0.72
  • 20 companies checked daily with postedWithinDays: 1, about 40 matching jobs per day: about $1.44 per month

FAQ

How do I cap what a run costs? Set a maximum cost per run in the run options (or with maxTotalChargeUsd via the API). The actor stops cleanly when the limit is reached and keeps every result collected so far. maxResults caps the number of jobs as well.

Why are some fields null? Each platform publishes different data. Fields a platform does not provide are null: Greenhouse has no employment type, Lever rarely publishes salaries, and only some employers publish pay at all. A company that does not use Greenhouse, Lever or Ashby is reported in the log and skipped; the run continues with the others.

Can I call it from code, an AI agent or an automation tool? Yes. Run it through the Apify API and get the dataset in the same call:

curl -X POST "https://api.apify.com/v2/acts/Neatfeeds~ats-jobs-greenhouse-lever-ashby/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"companies": ["ashby:ramp"], "titleKeywords": ["engineer"], "maxResults": 20}'

It also works with Apify schedules, webhooks and integrations such as Make, Zapier and n8n, and with AI agents through the Apify MCP server.

Notes

  • Data comes from public career-page APIs published by the employers themselves.