Building a job board, a recruiting tool, or a salary/market dataset? Here's an honest, hands-on comparison of the best ways to scrape job listings in 2026 — from applicant-tracking systems (ATS) like Greenhouse and Workday to aggregators — with no code.
TL;DR: To pull jobs straight from company career pages, scrape the ATS they use: Greenhouse, Workday, Lever. To pull many sources at once, use a Remote Jobs Aggregator. All no-code, pay-per-result.
Why scrape job data?
- Job boards & aggregators — populate a niche board with fresh, real listings.
- Recruiting & sourcing — track who's hiring for which roles, where.
- Market & salary research — analyse demand, titles, locations and comp over time.
- Lead generation — companies hiring for a role are often buying signals.
The catch: there's no single "jobs API." Each company posts through an ATS (Greenhouse, Workday, Lever, Ashby, etc.), and aggregator sites guard their data. The most reliable approach is to scrape the ATS directly — that's where the clean, structured data lives.
What to look for
- Source reliability — ATS-based scrapers are far more stable than scraping aggregator HTML.
- Structured fields — title, location, department, remote flag, description, apply URL, posted date.
- Coverage — can it take any company's board, or just one?
- Cost — pay-per-result lets you test cheaply and scale predictably.
1. Greenhouse Jobs Scraper — best for startups & scale-ups
Greenhouse is one of the most popular ATSs among tech companies. This scraper pulls every open role from any company's Greenhouse board: title, location, department, remote status, full description and the direct apply link.
Pros: extremely reliable (ATS-based); clean structured output; any Greenhouse company; no code.
Cons: only covers companies that use Greenhouse (but that's thousands of them).
Best for: sourcing tech roles and building startup-focused job boards.
2. Workday Jobs Scraper — best for enterprise roles
Workday powers the careers sites of a huge share of large enterprises. Workday's structure is notoriously awkward to scrape by hand; this Actor handles it and returns clean, structured listings from any company's Workday site.
Pros: unlocks enterprise jobs most scrapers miss; reliable; any Workday tenant.
Cons: enterprise-focused (by design).
Best for: enterprise job boards, recruiting intelligence, and market research.
3. Lever Jobs Scraper — best lightweight ATS option
Lever is another widely used ATS, especially among mid-size tech firms. This scraper extracts all roles from any Lever board with full details.
Pros: reliable ATS source; cheap; clean fields.
Cons: Lever-only coverage.
Best for: rounding out ATS coverage alongside Greenhouse and Workday.
4. Remote Jobs Aggregator — best for many sources at once
Rather than one company at a time, this Actor aggregates remote roles across multiple sources into one structured feed — ideal when you want breadth instead of a specific company.
Pros: broad coverage in a single run; great for remote-focused boards; no code.
Cons: aggregated sources rather than a single canonical ATS.
Best for: remote job boards, newsletters, and trend analysis.
5. Indeed / LinkedIn / Glassdoor (the big aggregators)
These are the household names — but they're also the most aggressively anti-bot. Indeed and Glassdoor sit behind heavy Cloudflare challenges, and LinkedIn requires login and rate-limits hard. Scraping them reliably needs constant maintenance, and many "Indeed scrapers" break frequently.
Pros: huge breadth if you can get in.
Cons: brittle, high-maintenance, frequently blocked.
Best for: teams who specifically need those sources and can tolerate breakage. For stable pipelines, ATS-based scraping (above) is the better foundation.
6. Official job APIs (where they exist)
Some ATSs expose partial public endpoints; some job boards sell licensed APIs.
Pros: official and stable when available.
Cons: rare, often gated or paid, inconsistent coverage.
Best for: licensed enterprise use.
Quick comparison
| Scraper | Source | Reliability | Coverage | Cost |
|---|---|---|---|---|
| Greenhouse Jobs Scraper | Greenhouse ATS | High | Any GH company | Per result |
| Workday Jobs Scraper | Workday ATS | High | Any Workday tenant | Per result |
| Lever Jobs Scraper | Lever ATS | High | Any Lever board | Per result |
| Remote Jobs Aggregator | Multi-source | Medium-High | Broad / remote | Per result |
| Indeed / LinkedIn / Glassdoor | Aggregators | Low (anti-bot) | Huge | Varies |
How to scrape a company's jobs (no code)
- Find the company's careers page and note its ATS (the URL usually says
greenhouse.io,myworkdayjobs.com, orlever.co). - Open the matching scraper above.
- Paste the company/board identifier, set
maxResults, and run. - Export to JSON/CSV — or schedule a daily run to keep your board fresh.
Combine the three ATS scrapers to cover most of the tech hiring market, and add the aggregator for remote breadth.
Conclusion
The reliable way to scrape jobs in 2026 is ATS-first: go to the source (Greenhouse, Workday, Lever) instead of fighting Indeed/LinkedIn anti-bot. For a no-code stack:
- Startups/tech → Greenhouse Jobs Scraper
- Enterprise → Workday Jobs Scraper
- Mid-size tech → Lever Jobs Scraper
- Breadth/remote → Remote Jobs Aggregator
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