Google Jobs Scraper: by query and location, with salary
Pricing
$20.00 / 1,000 result page delivereds
Job listings from Google Jobs by query and location: title, company, location, source, posting date, salary when shown, and deduplicated apply links. Strict schema for pipelines and AI agents; only successfully delivered result pages are charged.
You can access the Google Jobs Scraper: by query and location, with salary programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
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Combine role and place in one query, or set location separately below.", "items": { "type": "string" } }, "location": { "title": "Location filter", "type": "string", "description": "Optional location appended to every query, e.g. 'Amsterdam' or 'Netherlands'.", "default": "" }, "maxJobsPerQuery": { "title": "Max jobs per query", "minimum": 1, "maximum": 300, "type": "integer", "description": "Stop paginating after this many jobs per query.", "default": 50 }, "country": { "title": "Country", "type": "string", "description": "ISO country code (e.g. US, NL, DE). 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It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Google Jobs Scraper: by query and location, with salary from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
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