Google Jobs Search Scraper
Pricing
from $3.99 / 1,000 results
Collect public Google Jobs listings with full descriptions, structured compensation, posting-date precision, application choices, and job requirements.
Job title or keyword to search (e.g. 'Software Engineer', 'Data Analyst', 'Marketing Manager').
Multiple search queries to run in a single batch execution.
Public Google Jobs search URLs (for example https://www.google.com/search?udm=8&q=software+engineer).
Specific city, state, or metropolitan area to search (e.g. 'New York, NY', 'London, UK', 'Berlin, Germany').
Two-letter ISO 3166-1 alpha-2 country code (e.g. 'us', 'gb', 'de', 'in', 'ca', 'au', 'fr'). Leave blank for automatic location.
Two-letter ISO 639-1 language code (e.g. 'en', 'de', 'es', 'fr').
Filter jobs by when they were published.
Filter for remote, telecommute, or work-from-home positions only.
Filter by employment type.
Filter by required experience level or educational degree.
Initial search results page to start scraping from (10 jobs per page, 1 = first page).
Optional minimum salary floor (e.g. 50000, 80000, 120000).
Only return job listings with direct application links on the hiring company's career site.
Maximum number of job postings to collect.
Maximum pagination pages to navigate per query (10 jobs per page).
Include rich HTML markup with paragraphs, bullet points, and formatting in addition to clean text.
Maximum time to wait for Google Jobs page responses.
Optional Apify proxy settings used only when useBrowser is true; HTTP mode ignores this setting. Access boundaries are not bypassed.
Execute in headless Chromium for dynamic expansion and full details extraction.
Resolve Google redirect application URLs to their destination pages. Disabled by default; destination requests are safety-checked.
Fetch linked destination pages for Schema.org JobPosting data (e.g. requisition ID, department, locations, valid-through date). Disabled by default.
