Pricing

from $2.00 / 1,000 jobs

Job Listings Scraper — Company Jobs & Hiring Data

Raw job postings from companies' official public ATS boards (Greenhouse, Lever, Ashby). One row per job: title, company, location, department, apply URL, updated date. No LinkedIn, no browser, no login.

Pricing

from $2.00 / 1,000 jobs

Rating

0.0

(0)

Developer

QualifyOps

Actor stats

Bookmarked

Total users

Monthly active users

3 hours ago

Last modified

Configure MCP server with Job Listings Scraper — Jobs & Hiring Data

Get a ready-to-use configuration for your MCP client with the Job Listings Scraper — Jobs & Hiring Data Actor preconfigured at mcp.apify.com?tools=qualifyops/ats-jobs-scraper .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

Multi-ATS Jobs Scraper (Greenhouse, Lever, Ashby)

alwaysprimedev/multi-ats-jobs-scraper

Scrape job postings from Greenhouse, Lever, and Ashby into one unified, structured dataset. No login. Salary, location, department, employment type — normalized across all three ATS. Per-company change-detection between runs.

Always Prime

ATS Jobs Scraper — Greenhouse, Lever & Ashby

i-scraper/ats-jobs-scraper

Scrape public job postings from company career pages on Greenhouse, Lever, and Ashby. Normalized output with seniority, remote-type, role and technology detection. Tracks new vs. recurring jobs.

i-Scraper

ATS Jobs Scraper — Greenhouse, Lever & Ashby

mukeshrana90/ats-jobs-scraper

Pull open job postings straight from companies' public ATS boards (Greenhouse, Lever, Ashby). Full descriptions, skills, normalized salary, cross-run dedupe and webhook delivery. No browser, no proxy.

Mukesh Kumar

Multi-ATS Job Scraper — Greenhouse, Lever, Ashby, Workday

scrapesage/multi-ats-job-scraper

Scrape jobs from the 5 biggest ATS platforms in one dataset — Greenhouse, Lever, Ashby, SmartRecruiters & Workday. Full descriptions, salaries, locations, departments & apply links. Auto-detects the ATS from a careers URL or company name. Monitor mode emits only new jobs.

Scrape Sage

ATS Jobs Scraper - Greenhouse, Lever, Ashby, Workday

illehius/ats-jobs-scraper

Give it a list of companies (careers URLs or provider:token). Returns every live job across their ATS boards, normalized to one schema with full descriptions.

Siddhant

✅ ATS Jobs Scraper - Greenhouse, Ashby, Lever + Remote API

k1ra/ats-jobs-scraper

ATS jobs scraper for Greenhouse, Ashby & Lever applicant tracking systems plus remote job boards in one run. Give a company name or domain — we auto-detect the ATS and slug. Reliable, full descriptions & salary, flat schema. Multi-ATS jobs API for n8n, Make & Zapier. Pay per job, $0 on empty.

Kevin Savani

Multi-ATS Jobs Scraper (Greenhouse, Lever, Ashby)

dami_studio/multi-ats-jobs-scraper

Returns open job postings from Greenhouse, Lever, and Ashby ATS boards (title, location, department, apply link) via their public JSON APIs. Pass companies as "ats:token" (e.g. greenhouse:stripe). Top use: tracking a target company's full job board.

Dami's Studio

5.0

(2)

Multi-ATS Job Scraper (Greenhouse, Lever, Ashby)

dataset-smith/multi-ats-job-scraper

Scrape all open jobs from any company's Greenhouse, Lever, Ashby, or SmartRecruiters careers page into one unified structured dataset. Auto-detects the ATS. No login or proxies.

Ackoo Lu

ATS Jobs Scraper for Greenhouse, Lever, Ashby & More

fetch_cat/ats-jobs-scraper

Scrape public Greenhouse, Lever, Ashby, Recruitee, SmartRecruiters, and Personio job boards into one normalized dataset with titles, locations, departments, apply URLs, dates, and optional descriptions.

Hanna Nosova

Multi-ATS Jobs Scraper (Greenhouse, Lever, Ashby)

devilscrapes/multi-ats-jobs-scraper

Scrape job postings from Greenhouse, Lever, and Ashby in one run. Pass a list of company slugs and get a normalised dataset — title, location, department, URL, and description — across all three ATS platforms.