Career Site Jobs Scraper: Greenhouse, Lever, Ashby, Workday

Get every open job straight from company career sites, in one clean format. List the companies you care about and this Actor pulls their live openings directly from the hiring systems they use:

Greenhouse · Lever · Ashby · Workday · Workable · SmartRecruiters · Recruitee · Personio · BambooHR

Every job comes back normalized, whichever system it came from:

• Title, department, team and a seniority level (intern to executive)
• Location, all locations, city, region, country and workplace type (remote, hybrid, on-site)
• Salary range with currency and period, from structured pay fields or pay-transparency text
• Employment type, posting date, requisition ID, job and apply links
• Full description as clean text (optional)
• "Only new jobs" mode for scheduled runs, so you only see (and pay for) newly posted roles
• A hiring summary per company: open roles, top departments, remote share and newest posting

No API keys, no logins and no browser. Press Start to pull current openings from Stripe, Palantir and Ramp.

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Why this Actor exists

Job boards like LinkedIn and Indeed are noisy, duplicated and hard to scrape. The original source of almost every tech and corporate job is the company's own careers page, which runs on a handful of hiring systems with public job feeds. This Actor reads those feeds directly.

	Job board scrapers	Single-system scrapers	Career Site Jobs Scraper
Source	Aggregator copies	One hiring system	9 hiring systems, first-party
Duplicates and stale posts	Common	Rare	Rare
Same output format across systems	No	No	Yes
Salary ranges	Sometimes	Sometimes	Structured + parsed from pay-transparency text
Remote / hybrid / on-site	Inconsistent	Inconsistent	Normalized
Seniority level	No	No	Yes
Company websites or names as input	No	No	Auto-detects the careers site
New-jobs-only tracking	No	Rarely	Yes

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How it works

1. Resolve each company. Careers page URLs and shorthands (greenhouse:acme) are matched exactly. For a website (acme.com), the Actor reads the homepage and careers pages to find the hiring system. For a name (Acme), it checks the public job boards and only accepts a match when the board's company name agrees.
2. Fetch the company's open jobs from that system's public job feed. Paginated systems (Workday, SmartRecruiters) stop as soon as enough matching jobs are found.
3. Normalize locations, workplace type, seniority, employment type, dates and salaries into one schema.
4. Filter by title keywords, locations, remote, departments and posting date, then deliver one item per job.
5. Summarize each company in the OUTPUT record.

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Quick start

1. Paste careers page URLs, websites or company names into Companies.
2. Optionally add Job title keywords (for example engineer) or Locations (for example London or remote).
3. Press Start and open the Overview tab, or export CSV, Excel or JSON.

Example input:

{
    "companies": [
        "https://boards.greenhouse.io/stripe",
        "https://jobs.lever.co/palantir",
        "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite",
        "huggingface.co",
        "Notion"
    ],
    "keywords": ["engineer", "data"],
    "locations": ["United States", "remote"],
    "maxJobsPerCompany": 200,
    "onlyNewJobs": true
}

Supported careers page formats

Hiring system	Example
Greenhouse	boards.greenhouse.io/acme, job-boards.greenhouse.io/acme, embedded boards, EU boards
Lever	jobs.lever.co/acme, jobs.eu.lever.co/acme
Ashby	jobs.ashbyhq.com/acme
Workday	acme.wd5.myworkdayjobs.com/External (any wdN host, with or without a locale)
Workable	apply.workable.com/acme
SmartRecruiters	jobs.smartrecruiters.com/Acme
Recruitee	acme.recruitee.com
Personio	acme.jobs.personio.de or .com
BambooHR	acme.bamboohr.com/careers

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Input

Field	Type	Default	What it does
companies	array	3 samples	Careers page URLs, ats:slug shorthands, websites or company names.
keywords	array	none	Keep jobs whose title contains any keyword.
searchInDescription	boolean	false	Also match keywords in descriptions.
locations	array	none	Keep jobs whose location contains any term (remote also matches remote jobs).
remoteOnly	boolean	false	Only fully remote jobs.
departments	array	none	Keep jobs whose department or team contains any term.
postedWithinDays	integer	0	Only jobs posted in the last N days (0 = all).
maxJobsPerCompany	integer	100	Cap per company after filters.
includeDescription	boolean	true	Include the description as clean text.
onlyNewJobs	boolean	false	Skip jobs delivered in earlier runs (per company).
maxConcurrency	integer	4	Companies processed in parallel.

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Output

One dataset item per job. Example:

{
    "company": "Ramp",
    "company_input": "https://jobs.ashbyhq.com/ramp",
    "ats": "Ashby",
    "board_url": "https://jobs.ashbyhq.com/ramp",
    "job_id": "34413f8d-26bf-4bbc-8ade-eb309a0e2245",
    "title": "Security Engineer, Cloud",
    "department": "Engineering",
    "team": "Backend",
    "location": "New York, NY (HQ)",
    "locations": ["New York, NY (HQ)", "Remote (Canada)", "Remote (US)"],
    "city": "New York City",
    "region": "NY",
    "country": "USA",
    "workplace_type": "hybrid",
    "is_remote": true,
    "employment_type": "full-time",
    "seniority": null,
    "posted_at": "2026-04-07T17:12:35Z",
    "job_url": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245",
    "apply_url": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245/application",
    "salary": { "min": 211400, "max": 290600, "currency": "USD", "period": "year", "text": "$211.4K - $290.6K", "source": "structured" },
    "requisition_id": null,
    "description_text": "ABOUT RAMP\n\nRamp is building the smart infrastructure for finance teams...",
    "change_status": "untracked",
    "scraped_at": "2026-10-17T19:00:00Z"
}

change_status is new when Only new jobs is on, otherwise untracked.

Hiring summary (OUTPUT record of the default Key-Value Store), one row per company:

{
    "input": "https://jobs.ashbyhq.com/ramp",
    "company": "Ramp",
    "ats": "Ashby",
    "board_url": "https://jobs.ashbyhq.com/ramp",
    "resolved_by": "url",
    "status": "ok",
    "open_jobs_on_board": 214,
    "jobs_delivered": 100,
    "top_departments": [{ "department": "Engineering", "jobs": 41 }, { "department": "Sales", "jobs": 22 }],
    "remote_share": 0.18,
    "newest_posted_at": "2026-10-16T21:04:11Z",
    "with_salary": 96
}

---

Pricing (Pay-Per-Event)

Event	When	Price
job-listing	One job is delivered to your dataset	See the Pricing tab

• You only pay for jobs that pass your filters. Companies, lookups and descriptions are included.
• With Only new jobs on, jobs delivered in earlier runs are skipped for free.
• Your run's maximum charge is respected: the Actor checks the remaining budget before each job and stops cleanly.

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Use cases

• Sales intelligence: hiring is the best buying signal. Watch target accounts for new roles in the teams you sell to.
• Recruiting and talent intelligence: monitor competitors' openings, salary bands and remote policies.
• Job boards and newsletters: build a niche board (AI, climate, remote, fintech) from first-party postings.
• Investors and analysts: track headcount growth by department across a portfolio.
• Job seekers: get a daily list of new roles at your dream companies.

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Use it from AI agents (MCP)

Hosted Apify MCP server (Claude, ChatGPT, Cursor, VS Code and any client that supports remote MCP):

https://mcp.apify.com?tools=AIMindTeams/career-site-jobs-scraper

Local stdio server (for example, Claude Desktop claude_desktop_config.json):

{
    "mcpServers": {
        "career-jobs": {
            "command": "npx",
            "args": ["-y", "@apify/actors-mcp-server", "--tools", "AIMindTeams/career-site-jobs-scraper"],
            "env": { "APIFY_TOKEN": "YOUR_APIFY_TOKEN" }
        }
    }
}

Example prompts:

• "Which of these 10 companies are hiring data engineers in Europe, and what salary ranges do they post?"
• "List remote product manager openings at Stripe, Ramp and Notion posted this week."
• "Summarize which departments Palantir is hiring for."

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Use it from code

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("AIMindTeams/career-site-jobs-scraper").call(
    run_input={
        "companies": ["https://boards.greenhouse.io/stripe", "notion.so"],
        "keywords": ["engineer"],
        "remoteOnly": True,
    }
)
for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    salary = job["salary"] or {}
    print(job["company"], job["title"], job["location"], salary.get("min"), salary.get("max"), job["job_url"])

cURL (run and get the items in one call):

curl -X POST "https://api.apify.com/v2/acts/AIMindTeams~career-site-jobs-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies": ["https://jobs.ashbyhq.com/ramp"], "maxJobsPerCompany": 20}'

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FAQ

Which input format is most reliable? Careers page URLs. They are matched exactly. Websites work whenever the careers page links to or embeds a supported hiring system, and company names are matched only when the job board's own company name agrees.

What if a company uses a system that isn't supported? Its row in the hiring summary says "not found" with the reason, and you are not charged for it.

How are salaries found? From structured pay fields when the hiring system provides them (Ashby, Lever, Recruitee), otherwise from pay-transparency text in the description, for example "The base salary range is $185,000 - $255,000". The salary.source field says which.

How fresh is the data? Live. Every run reads the company's current job feed directly.

Is this legal? The Actor only reads the public job feeds that companies publish so their openings can be found. Use the data in line with the laws and terms that apply to you.

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More from AIMindTeams

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• SAM.gov & SBIR Federal RFP + Attachment Deep-Parser: federal opportunities with their attachments parsed.

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Changelog

• 1.0: First release. Nine hiring systems, company website and name auto-detection, normalized locations, workplace type, seniority, employment type and salaries, new-jobs-only tracking and per-company hiring summaries.