Job Postings Scraper — Company Career Pages (Greenhouse, Lever, Ashby & more)

Extract live job postings directly from company career pages — the hiring data source that never needs LinkedIn or Indeed. Point the Actor at any list of companies and get a clean, normalized dataset of every open role: title, department, locations, remote status, employment type, salary ranges, posting dates, and application URLs.

Supports the ATS platforms behind most tech & startup career pages:

Platform	Coverage	Salary data	Detection
Greenhouse	Full board	Pay ranges where published	✅ auto
Lever	Full board	Structured salaryRange where published	✅ auto
Ashby	Full board	Structured compensation tiers	✅ auto
Workable	Full board	Parsed from description	✅ auto
Recruitee	Full board	Structured where published	✅ auto
SmartRecruiters	Full board (paginated)	Parsed from description	✅ auto

Why scrape career pages instead of job boards?

• Fresher: postings appear on the company's own board before (and sometimes instead of) aggregators.
• Complete: no aggregator filtering — you see every public role, including the ones never syndicated.
• Compliant: this Actor reads the same public, logged-out JSON endpoints the career pages themselves use. It collects company-level data only — job postings, not people. No LinkedIn, no Indeed, no personal data.
• Cheap: no headless browser, no CAPTCHAs — results stream in seconds.

What can you do with hiring data?

• Sales signals / ABM: a company hiring "Salesforce Administrator" is buying Salesforce tooling. Route accounts to your reps the week the signal appears.
• Recruiting & talent intel: track which competitors are hiring, for what roles, where, and at what salary bands.
• Market & investment research: headcount growth by function is a leading indicator. Watch a portfolio or a whole sector.
• Job boards & aggregators: build a niche job board from the source of truth.
• AI agents & RAG: clean JSON, stable schema — pipe it into your agent, vector DB, Clay table, or spreadsheet without post-processing.

Input

Three ways to specify a company — mix them freely:

{
    "companies": [
        "https://jobs.lever.co/mistral",
        "greenhouse:vercel",
        "https://ramp.com",
        "linear"
    ],
    "remoteOnly": false,
    "titleKeywords": ["engineer", "data"],
    "maxTotalResults": 1000
}

1. ATS board URL — fastest, zero ambiguity (https://boards.greenhouse.io/vercel, https://jobs.ashbyhq.com/ramp, …)
2. platform:slug — explicit pair (lever:mistral, workable:acme)
3. Company website or bare name — the Actor fetches the careers page, finds the ATS link automatically, and falls back to probing all six platforms.

Optional filters: title keywords, location keywords, remote-only, posted-within-N-days, per-company and total result caps (cost control), full descriptions on/off.

Output (real example rows)

Data captured from live boards on 2026-07-21:

company	title	department	location	remote	salary	published	ats
Ramp	Security Engineer, Cloud	Engineering	New York, NY (HQ) (+ Miami, Remote US/CA)	true	$211.4K – $290.6K USD/yr	2026-04-07	ashby
Vercel	Account Executive- Startups, Greenfield	—	Hybrid - San Francisco, New York City, Austin	false	—	2025-08-19	greenhouse
Mistral	Account Executive – AI for Citizens	Business	Paris	false	—	2025-07-28	lever

Full JSON per job (real record, abbreviated description omitted via includeDescription: false):

{
    "company": "Ramp",
    "companySlug": "ramp",
    "ats": "ashby",
    "jobId": "34413f8d-26bf-4bbc-8ade-eb309a0e2245",
    "title": "Security Engineer, Cloud",
    "department": "Engineering",
    "team": "Backend",
    "employmentType": "FullTime",
    "location": "New York, NY (HQ)",
    "allLocations": ["New York, NY (HQ)", "Miami, FL", "Remote (US)", "Remote (Canada)"],
    "country": "USA",
    "isRemote": true,
    "workplaceType": "Hybrid",
    "salaryMin": 211400,
    "salaryMax": 290600,
    "salaryCurrency": "USD",
    "salaryInterval": "year",
    "salarySummary": "$211.4K – $290.6K • Offers Equity",
    "publishedAt": "2026-04-07T17:12:35.753Z",
    "updatedAt": null,
    "url": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245",
    "applyUrl": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245/application",
    "sourceEndpoint": "https://api.ashbyhq.com/posting-api/job-board/ramp",
    "scrapedAt": "2026-07-21T00:19:43.009Z"
}

Every field is present on every row (with null where the ATS doesn't publish it), so the dataset drops straight into Sheets, BigQuery, Clay, or a dataframe.

Pricing & typical cost

Pay per result — you only pay for jobs actually saved. Filters and caps (maxTotalResults, maxJobsPerCompany) are applied before billing, so a title-filtered run costs a fraction of a full dump. Monitoring 500 companies weekly at ~40 open roles each ≈ 20,000 results per run.

Scheduling & integrations

• Schedule the Actor (e.g. daily) and diff jobId sets downstream to detect newly opened/closed roles.
• Use the Apify API, webhooks, or the dataset export (JSON, CSV, Excel) — plus native integrations with Make, Zapier, n8n, Google Sheets, and MCP for AI agents.

FAQ

Is this legal? The Actor reads public, logged-out JSON endpoints that the companies' own career pages call, and collects only company-level information (job postings). It does not touch LinkedIn, Indeed, or any personal data.

How do I find a company's board/slug? Usually you don't need to — pass the company website and let auto-detection work. If you want to be explicit, open the company's careers page and copy the jobs.lever.co/..., boards.greenhouse.io/..., jobs.ashbyhq.com/... etc. link.

A company wasn't found. Why? Either it uses an unsupported ATS (e.g. Workday, iCIMS, SAP SuccessFactors — on the roadmap), its board has no public roles, or its careers page hides the ATS link behind JavaScript. The run log lists every unresolved company with a tip. Passing the exact board URL always works.

Do I get salaries for every job? Only where the company publishes them. Ashby and Lever expose structured compensation most often; for the rest the Actor parses ranges out of the description text ("$120,000 - $150,000", "€80k–100k", etc.).

What about descriptions? Off by default to keep datasets light. Set includeDescription: true to get plain-text and HTML descriptions. (On SmartRecruiters this needs one extra request per job, so it's slower there.)

Rate limits / blocking? The endpoints are public APIs designed for careers-page traffic; the Actor uses gentle concurrency, retries with backoff, and optional Apify Proxy. Runs are HTTP-only — no browser — so they're fast and cheap.

Which platforms are next? Teamtailor, Personio, BambooHR, and JazzHR are the shortlist. Open an issue to vote.