Track new job openings at specific companies without scraping Indeed or LinkedIn

Description and use

By polling public ATS JSON feeds, you avoid scraping hurdles and can scale to thousands of companies using an Apify actor that unifies multiple ATS schemas.

Problem

Scraping job boards like Indeed or LinkedIn is hampered by Cloudflare challenges, logins, rate limits, and frequently changing HTML, leading to stale or reposted listings.

Outcome

By using public ATS JSON feeds, the approach eliminates scraping hurdles, provides real‑time job data, and scales to thousands of companies with minimal maintenance.

Workflow

• Identify the ATS used by a company by inspecting the "Apply" link on its careers page.
• Determine the board slug from the URL and construct the public feed endpoint.
• Poll the feed, compare job IDs against a stored set of seen jobs, and output only new listings.
• Run the script via cron to receive daily alerts without browsers, proxies, or logins.
• For large scale, use the Apify actor "ATS Jobs Search" to query multiple ATSs with a single schema and only-new-jobs mode.

Evidence

Scraping Indeed or LinkedIn Jobs looks like the obvious way to watch who's hiring. In practice you fight Cloudflare challenges, logins, rate limits and HTML that changes every few weeks, and the listings you do get are often days old, reposted from somewhere else.

Source

That somewhere else is usually the company's own careers page, and most careers pages are powered by an applicant tracking system (ATS) that publishes a clean, public JSON feed.

Source

Run it from cron once a day and you have a "new openings" alert for any list of companies, with no browser, proxies or logins.

Source

We built ATS Jobs Search on Apify to solve. It covers seven ATSs (Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee, Personio), uses one output schema, has a built-in directory of about 7,900 companies' boards, and has an "only new jobs since last run" mode.

Source