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from $8.00 / 1,000 job pages

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Google Jobs Scraper — Listings, Salary, Filters

Under maintenance

Try for free

Scrape Google Jobs at scale: structured job listings with title, company, location, salary, posted date, job type, schedule, apply links, qualifications and responsibilities. Two data sources — Google Careers RPC (fast, ~1-2s) for Google's own openings.

Pricing

from $8.00 / 1,000 job pages

Rating

0.0

(0)

Developer

Scrape Badger

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

1.0 — 2026-04-21

Initial release.
Wraps the ScrapeBadger Python SDK google.jobs.search endpoint.
Two data sources: rpc (Google Careers batchexecute, ~1-2s) and serp (public Google Jobs vertical aggregating LinkedIn / Indeed / Built In / ZipRecruiter).
Structured per-job output: title, company, location, salary, apply options, qualifications, responsibilities, benefits, posted date, job type, schedule, work-from-home flag.
SERP-mode filters: job_type, date_posted, ltype, lrad, location, plus raw chips / uds / uule escape hatches.
Locale controls: gl / country, hl / language, domain.
Pagination via max_pages walking Google's next_page_token; resumable with the next_page_token input field.

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