ATS Jobs Scraper: Greenhouse, Lever, Ashby Job Postings
Pricing
from $40.00 / 1,000 company processeds
Job postings from Greenhouse, Lever, Ashby, Workable, Recruitee and SmartRecruiters by company domain. Apply links, hiring summaries, and a job postings monitor for new and closed jobs across runs: hiring signals for lead enrichment. JSON for n8n, Make and Apify MCP.
Required. Company website domains or job-board slugs, one per item. Example: ["stripe.com", "linear.app"]. The job board is detected automatically on Greenhouse, Lever, Ashby, Workable, Recruitee and SmartRecruiters (not Workday). To force a board, prefix the slug: "greenhouse:stripe", "lever:spotify", "ashby:linear", "workable:huggingface", "recruitee:bunq", "smartrecruiters:BoschGroup". Charged once per company found, whatever its job count.
[ "ashby:linear"]Which records to return. "summary_only": one company_summary per company (job counts, new and closed counts, departments, locations, technologies); the smallest output, best for AI agents. "jobs_and_summary": the summary plus every job record. "jobs_only": job records only. Default: "jobs_and_summary". For a cheap agent check use output_mode="summary_only" and max_jobs_per_company=20. This keeps returned data small; the per-company charge is unchanged.
Compare with the previous run that used the same state_id and set each job's status to NEW, EXISTING or CLOSED. The first run marks every job NEW (is_first_run = true). When false, every job is ACTIVE and nothing is saved. Default: false.
Name of the saved history for change tracking. Runs with the same state_id are compared with each other; history is kept per company. Use one value per watchlist or schedule. Example: "eng-watchlist". Default: "default_state".
Detect core technologies (Python, AWS, React, Kubernetes, LLMs, ...) in each job title and description, and return them in detected_technologies and in the summary's top_technologies. Default: true.
Return only jobs whose status is NEW or CLOSED. Use it on scheduled runs with a fixed state_id to get just what changed since the last run. Default: false.
Keep only jobs whose title contains any of these words or phrases (case-insensitive). Example: ["engineer", "data scientist"]. Filters reduce the job records only; the summary always counts all jobs.
Keep only jobs whose department contains any of these words (case-insensitive). Example: ["engineering", "sales"].
Keep only jobs whose location contains any of these words (case-insensitive). Example: ["london", "new york", "germany"].
Keep only jobs that mention any of these technologies, using the names returned in detected_technologies (case-insensitive). Example: ["Python", "Kubernetes", "LLMs"].
Keep only jobs marked or described as remote. Default: false.
Maximum job records per company, after the other filters. 0 = no limit. When the limit applies, NEW jobs are kept first, then CLOSED, then the rest; the summary's matching_jobs gives the full count. Example: 20. Default: 5. For a cheap agent check use output_mode="summary_only" and max_jobs_per_company=20. This keeps returned data small; the per-company charge is unchanged.