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Multi-ATS Job Scraper — Greenhouse, Lever, Ashby & SmartRecruiters

Scrape every open job from any company's careers page into one clean, unified dataset — across four major applicant tracking systems (ATS): Greenhouse, Lever, Ashby, and SmartRecruiters. Just give a list of companies; the Actor auto-detects which ATS each one uses.

No login, no API keys, no proxies, no captcha — uses each ATS's public job board API.

Output (unified across all 3 ATS)

Why use it

• One schema, three ATS — stop writing a parser per company.
• Auto-detect ATS — pass "stripe" and it figures out the rest.
• High volume, always fresh — 4 companies already return 1,000+ jobs; run it daily.
• Clean apply links & compensation — normalized for filtering and dedupe.

Zero-config

Run it with no input and it scrapes a curated list of 107 well-known companies (Databricks, OpenAI, Stripe, MongoDB, Datadog, Snowflake, Airbnb, Spotify…) — ~10,700 fresh jobs in one run. Or pass your own company list to target exactly who you care about.

Input

{
"companies":["greenhouse:stripe","lever:netflix","ashby:ramp","plaid"],
"includeDescription":false,
"maxPerCompany":0
}

• companies — "ats:token" or just "token" to auto-detect. Leave empty to use the 107-company curated default.
• includeDescription — include full job text (bigger output).
• maxPerCompany — cap per company (0 = all).

Use cases

• Job boards & aggregators — backfill thousands of fresh roles daily.
• Recruiters / sales intel — track who's hiring, for what, where, at what pay.
• Talent market research — department/stack/comp/remote trends across companies.
• AI / dataset builders — unified structured job corpus.

Run locally with python3 src/main.py, or on Apify with pay-per-result pricing.