🚀 Google Jobs Scraper
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Pay per usage
Pricing
Pay per usage
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Scrapio
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22 days ago
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Paste one or more Google Jobs search URLs. You can mix multiple URLs to scrape several queries / locations in a single run. Leave empty if you prefer to build the query from the keyword + location fields below.
Comma-separated keywords used to build a Google Jobs query (e.g. "software engineer, python"). Also used to filter results client-side. Ignored when 'Google Jobs URLs' is provided.
City, region or country name to focus the search on (e.g. "New York, NY", "London", "India").
Country used to set Google's geo (gl) parameter. Affects which regional results Google returns.
Optional. Only keep jobs whose company name contains this string (case-insensitive).
Filter results by employment type.
Filter results by how recently the job was posted.
Optional. How many pages of results to walk per URL/query (each page returns ~10 jobs). Leave empty to auto-derive from Max results: ceil(maxItems / 10). When both are set, this value wins.
Hard cap on total job rows pushed to the dataset across all URLs/queries. Note: Google's /async/callback:550 endpoint caps a single query at ~100 results (the start>=100 ceiling), and many queries exhaust earlier. To reach larger totals, provide multiple URLs/queries (e.g. different locations or keyword variations) in the Source URLs list.
If on, also push jobs missing a title or company. Off by default for cleaner output.
Optional custom proxy URLs. The scraper always uses Apify RESIDENTIAL as the fallback (up to 3 retries). If you provide custom proxy URLs here, those are tried first (up to 3 retries) and then it falls back to RESIDENTIAL.
{ "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ]}