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An Indeed scraper for job-listing data

The Kavex Indeed job scraper exports job listings in bulk. Give it a search term and a location and it paginates Indeed's results, returning each posting with its title, company, location, salary and a snippet. It is built for recruitment market research, hiring-signal tracking and building talent-market datasets.

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What it does

You provide one or more search terms and a location. For each term the scraper paginates the Indeed results and returns every listing as a row: job title, company, location, the salary where Indeed shows one, a description snippet, and a direct link to the posting.

A per-query cap controls how many listings each search returns. Indeed protects its pages behind a bot challenge, so the scraper rotates its connection until the page loads cleanly — you just get the data.

Use cases

  • Recruitment research — measure hiring demand for a role across a market.
  • Hiring-signal tracking — spot companies staffing up in a category.
  • Talent datasets — build a structured feed of open roles for analysis.

Frequently asked questions

What does each job row contain?

Job title, company, location, salary (when listed), a description snippet and the job URL.

Can I scrape several searches at once?

Yes — provide multiple search terms and the scraper runs each, paginating up to your per-query cap.

Does it always return salary?

Only when Indeed shows one — many listings omit salary, so that field can be blank.

Try it free — 1000 credits on us

Pay per result — no subscription, no seats. New accounts start with 1,000 free credits.

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