How to scrape Google Jobs listings
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To scrape Google Jobs, run the Datapika job search engine on Apify, select Google Jobs as a source, and paste a search phrase copied directly from the Google Jobs interface. Be aware that Google Jobs currently returns results less reliably due to platform changes, so the proven setup is to run it alongside Indeed and LinkedIn in the same sweep: one run queries up to 8 boards at once, deduplicates across them, and a verified run returned 95 jobs across 5 boards in 54 seconds. Pricing is $0.005 per job delivered, so 1,000 jobs cost about $5.
Why Google Jobs needs a different setup
Google Jobs is an aggregator, not a job board: it collects postings that already live on sites like Indeed, LinkedIn, and company career pages. It is also the board most affected by recent platform changes, so Datapika keeps it selectable but treats it as a supplementary source rather than a primary one.
- Use a search phrase copied straight from the Google Jobs UI, which is the query format that works best.
- Google Jobs currently returns results less reliably than Indeed, LinkedIn, or Glassdoor.
- Because Google aggregates other boards, most of its postings also exist on the source boards Datapika scrapes directly.
- Selecting Indeed and LinkedIn in the same run recovers the coverage Google Jobs misses.
- Deduplication means a job found on Google, Indeed, and LinkedIn appears as one row tagged with all three sources.
What each scraped job includes
Every row in the dataset carries the same structured fields regardless of which board it came from. Datapika scrapes 200,000+ jobs daily across its 8 supported boards and holds a 90% run success rate over the last 30 days, with a 5.0 rating from 2,462+ users on Apify.
- Title, company, location, job URL, and a direct apply URL when one exists.
- Salary min, max, currency, and interval, with optional normalization to annual figures.
- Company context: size, revenue, rating, review count, industry, and logo.
- Full job description in markdown or HTML, plus a remote flag and job type.
- Filters for remote only, job type, posted within N hours, distance radius, and up to 5 search terms per run.
How to do it
- 1.Open the Datapika job board scraper on Apify and select Google Jobs plus Indeed and LinkedIn as sources for the same run.
- 2.Paste a search phrase copied from the Google Jobs interface, then set your location, posted-within window, and any remote or job type filters.
- 3.Start the run and export the deduplicated results as JSON, CSV, or via the API, with the first rows arriving about 3 seconds after start.
Questions, answered
Can you actually scrape Google Jobs listings?
Yes. The Datapika job search engine on Apify includes Google Jobs as a selectable board, and it works best when you paste a search phrase copied from the Google Jobs UI. It currently returns results less reliably than other boards, so run it together with Indeed and LinkedIn for dependable coverage.
Why is my Google Jobs scrape returning few or no results?
Google has made platform changes that make its jobs results harder to retrieve consistently, and this affects every tool, not just yours. Use the exact phrase Google Jobs shows in its own search box, and enable Indeed and LinkedIn in the same run. Since Google aggregates those boards anyway, you usually recover the same postings from the direct sources.
Does Google Jobs have an official API for job listings?
No, Google does not offer a public API for reading Google Jobs listings. Datapika needs no API keys: you pick your boards, enter search terms, and get a structured dataset you can view in the browser or export as JSON, CSV, or through the Apify API.
How much does it cost to scrape Google Jobs with Datapika?
Pricing is $0.005 per job delivered, so 1,000 jobs cost about $5. Deduplication works in your favor: the same job found on Google Jobs, Indeed, and LinkedIn is delivered as a single row tagged with every source, so you pay for it once.