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Greenhouse, Lever & Ashby Jobs Scraper

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from $1.50 / 1,000 jobs

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Greenhouse, Lever & Ashby Jobs Scraper

Greenhouse, Lever & Ashby Jobs Scraper

Get job postings from Greenhouse, Lever and Ashby public job boards in one normalized JSON schema: title, department, location, remote, salary and description. Filter by keywords, location, department, employment type and posting date.

Pricing

from $1.50 / 1,000 jobs

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datatap

datatap

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8 days ago

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Greenhouse, Lever & Ashby Jobs Scraper — Normalized Job Postings API

Fetch job postings from company job boards hosted on Greenhouse, Lever and Ashby and get every posting back in one normalized JSON schema, no matter which ATS (applicant tracking system) the company uses. Give it a list of companies, optionally filter by title, location, department, employment type, remote and posting date, and download the results as JSON, CSV or Excel — or read them through the Apify API as a simple jobs API.

Who uses it

  • Job boards and aggregators — sync the open roles of a fixed list of companies every day, in one schema, without writing three ATS integrations.
  • Recruiting and labor-market research — titles, departments, locations, remote share and salary ranges (Lever, Ashby) across many companies, ready for a spreadsheet or BI tool.
  • Sales and lead generation — hiring is a buying signal: track which companies are opening engineering, sales or data roles right now.
  • AI agents — a small, predictable input schema that works as a tool through the Apify MCP server (see below).

What it does

  • Reads each company's public job-board API on Greenhouse, Lever or Ashby.
  • Converts every posting to the same fields: title, company, department, team, location(s), country, workplace type, remote flag, employment type, URLs, dates, salary and description.
  • Applies your filters, then saves the matching jobs to the run's dataset.
  • Keeps going when one company fails (for example, a slug that does not exist); the run fails only if every company fails. A malformed entry — unknown host or prefix, or a slug with illegal characters — stops the run before any job is fetched or charged.
  • Stops as soon as maxItems jobs are saved, so you control the cost of every run.

Supported companies and input formats

Any company whose careers page runs on one of these job boards. Add each one to companies in either form:

ATSats:slug formJob-board URL forms
Greenhousegreenhouse:airbnbhttps://boards.greenhouse.io/airbnb, https://job-boards.greenhouse.io/airbnb
Leverlever:leverdemohttps://jobs.lever.co/leverdemo
Lever (EU)lever-eu:acmehttps://jobs.eu.lever.co/acme
Ashbyashby:ashbyhttps://jobs.ashbyhq.com/ashby
  • The slug is the part of the job-board URL right after the host. Links to a single job (.../airbnb/jobs/123) work too; only the board is used.
  • The prefix is case-insensitive. Duplicate entries are removed.
  • Greenhouse and Ashby slugs are case-insensitive (greenhouse:Airbnb is the same board as greenhouse:airbnb) and are normalized to lowercase in id and company. Lever slugs are case-sensitive: type them exactly as they appear in the board URL.
  • If any entry is malformed (unknown host or prefix, or a slug with characters other than letters, digits, ., _, -), the run stops before any job is fetched or charged and the log names every bad entry. A well-formed slug that does not exist only fails that company.
  • lever: entries try Lever's global instance and fall back to the EU instance only when the board is not found there. lever-eu: and jobs.eu.lever.co always use the EU instance.

Input example

{
"companies": [
"greenhouse:airbnb",
"https://jobs.lever.co/leverdemo",
"ashby:ashby"
],
"titleKeywords": ["engineer"],
"excludeTitleKeywords": ["intern"],
"locationKeywords": ["remote", "berlin"],
"departmentKeywords": ["engineering"],
"employmentTypeKeywords": [],
"remoteOnly": false,
"postedWithinDays": 0,
"includeDescription": true,
"maxItems": 500,
"maxConcurrency": 5
}

Only companies is required. Everything else has a default.

Output example

One dataset item per job. Descriptions are trimmed here for space.

{
"id": "ashby:ashby:7458d4e9-da2e-47bd-98cb-adfda43d42b2",
"source": "ashby",
"company": "ashby",
"companyName": "ashby",
"externalId": "7458d4e9-da2e-47bd-98cb-adfda43d42b2",
"title": "Engineering Manager - EU",
"department": "Engineering",
"team": "EMEA Engineering",
"location": "Remote - European Union",
"locations": ["Remote - European Union", "Spain", "Germany", "Berlin", "Netherlands"],
"country": "European Union",
"workplaceType": "remote",
"isRemote": true,
"employmentType": "FullTime",
"url": "https://jobs.ashbyhq.com/ashby/7458d4e9-da2e-47bd-98cb-adfda43d42b2",
"applyUrl": "https://jobs.ashbyhq.com/ashby/7458d4e9-da2e-47bd-98cb-adfda43d42b2/application",
"publishedAt": "2024-03-04T14:29:08Z",
"updatedAt": "",
"salary": { "min": 110000, "max": 185000, "currency": "EUR", "interval": "year" },
"descriptionHtml": "<p>How do you feel about software engineers writing product specs, ...</p>",
"descriptionText": "How do you feel about software engineers writing product specs, ...",
"scrapedAt": "2026-10-01T15:54:50Z"
}
FieldNotes
idsource:company:externalId — stable and unique across all sources; use it to dedupe between runs.
sourcegreenhouse, lever or ashby.
company / companyNameSlug / display name (Greenhouse's company name; Lever and Ashby use the slug).
location / locationsMain location / every listed location.
countryFrom Lever and Ashby when given, otherwise "".
workplaceTyperemote, hybrid, onsite or "".
employmentTypeAs the ATS writes it (e.g. FullTime, Full-time); "" for Greenhouse.
publishedAt, updatedAt, scrapedAtUTC RFC 3339, or "" when the ATS does not give one.
salary{min, max, currency, interval} or null. Lever and Ashby only.
descriptionHtml, descriptionTextEmpty when includeDescription is off.

Filters

All keyword filters are case-insensitive substring matches. Within one list, any keyword may match (OR). Across lists, every list you fill in must match (AND). Empty lists are ignored.

InputMatches againstDefault
titleKeywordstitleall titles
excludeTitleKeywordstitle — matching jobs are droppednone dropped
locationKeywordslocation, all locations, countryall locations
departmentKeywordsdepartment, teamall departments
employmentTypeKeywordsemployment type (excludes all Greenhouse jobs, see Limits)all types
remoteOnlyjobs marked remotefalse
postedWithinDayspublish date, or update date if no publish date; undated jobs are dropped (0–3650, 0 = off)0
includeDescriptionkeep HTML and plain-text descriptionstrue
maxItemsstop after this many saved jobs (0 = no limit)0
maxConcurrencycompany boards fetched at once (1–20)5

Pricing

Pay per event: $0.0015 per job saved to the dataset ($1.50 per 1,000 jobs), plus Apify's small per-run Actor start event. Jobs removed by your filters are not charged. Use maxItems, or the run's Maximum cost per run option, to put a hard ceiling on what one run can cost — the Actor stops saving jobs once either limit is reached.

Use it from AI agents (MCP)

Add this Actor as a tool to Claude, Cursor or any MCP client through the Apify MCP server:

{
"mcpServers": {
"ats-jobs": {
"url": "https://mcp.apify.com?tools=datatap/ats-jobs"
}
}
}

The first connection signs you in to Apify in the browser. Then ask, for example: "List the remote engineering jobs at Airbnb, Stripe and OpenAI posted in the last week."

Reliability

  • One company failing (a wrong slug, a board that is down) never fails the others.
  • One malformed posting is skipped and logged; the rest of that company's jobs are kept.
  • If Apify restarts or migrates a run, jobs it already saved are recognized and are not saved or charged again.
  • Network errors and rate limits are retried with backoff.

Limits

  • Greenhouse: its public job-board API has no salary and no employment type, so salary is null and employmentType is "" for Greenhouse jobs in v0.1. Setting employmentTypeKeywords therefore excludes every Greenhouse job.
  • Greenhouse EU-hosted boards (job-boards.eu.greenhouse.io) are not supported yet.
  • Lever and Ashby: their public APIs have no company display name, so companyName is the slug (e.g. leverdemo).
  • Only the three ATSs above. Workday, SmartRecruiters, iCIMS and others are not supported.
  • Only public job-board APIs are read — the same data shown on each company's careers page. No login, no candidate data, no personal data.
  • You supply the company list. The Actor does not discover companies for you.

Tips

  • Set maxItems as your cost cap. Large companies can list thousands of jobs; a cap keeps a run's cost predictable.
  • Daily syncs: schedule the Actor with postedWithinDays: 1 (or 2 for some overlap) and dedupe on id to pick up only new postings.
  • Turn includeDescription off when you only need listings — the output is much smaller.
  • Check the run log: it prints, per company, how many jobs were fetched and emitted (fetched N, emitted M), and names any company that failed.

FAQ

How do I find a company's slug? Open its careers page and look for a link to boards.greenhouse.io, job-boards.greenhouse.io, jobs.lever.co or jobs.ashbyhq.com. Paste that URL as is, or take the part after the host.

Why did a company return no jobs? Either the board has no open postings, your filters removed them (check the log's fetched vs. emitted counts), or the slug is wrong — then the log names the company and the error.

Is there an official API to get all jobs from Greenhouse, Lever or Ashby? Each ATS has a public job-board API per company, but each returns a different format. This Actor calls those official public APIs and converts all three into one schema, so you don't maintain three integrations.

Is this scraping allowed? It reads only the public job-board APIs that power each company's own careers page — no login, no candidate data, no personal data. Check that your use of the data fits your own legal requirements.

Can I run it every day? Yes. Use Apify Schedules, set postedWithinDays: 1, and dedupe on id. You can send the results to Google Sheets, Slack, Make, Zapier, n8n or a webhook with Apify integrations.

Can I get the data through an API? Yes. Run the Actor through the Apify API and read the dataset as JSON, CSV or Excel. Every job has the same fields whatever the source ATS.