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Google Jobs Scraper

Pricing

$10.00/month + usage

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Google Jobs Scraper

Google Jobs Scraper

Developed by

Bluelight Consulting

Bluelight Consulting

Maintained by Community

Scrape job posting data from Google Jobs based on search queries, location, and date range. Ideal for job seekers, recruiters, and market analysts.

5.0 (1)

Pricing

$10.00/month + usage

2

Total users

10

Monthly users

10

Runs succeeded

80%

Last modified

24 days ago

You can access the Google Jobs Scraper 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 Integrations settings in Apify Console.

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"paths": {
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"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"query_input": {
"title": "Google Job Search Query",
"type": "string",
"description": "The main search query used to find job postings on Google Jobs. This can be a job title, role, or keyword (e.g., 'Software Developer', 'Data Scientist').",
"default": "Software Developer"
},
"location": {
"title": "Location",
"type": "string",
"description": "The geographic location to search for jobs. Use a country, state, city, or 'Remote' to filter results geographically (e.g., 'New York', 'United States', 'Remote').",
"default": "United States"
},
"days_to_search": {
"title": "Date Range (in Days)",
"minimum": 0,
"type": "integer",
"description": "The number of days to look back from today when searching for job postings. For example, set to 7 to get jobs posted in the last week.",
"default": 7
},
"result_limit": {
"title": "Results Limit",
"minimum": 1,
"type": "integer",
"description": "Maximum number of job postings to retrieve per query. This helps control the amount of data returned and ensures efficient scraping.",
"default": 10
}
}
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"format": "date-time",
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"finishedAt": {
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"format": "date-time",
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"example": "READY"
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"example": "API"
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"properties": {
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"example": "latest"
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"timeoutSecs": {
"type": "integer",
"example": 300
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"memoryMbytes": {
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"example": 0
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"REQUEST_QUEUE_WRITES": {
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"example": 0
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"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
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"type": "number",
"example": 0.00005
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"KEY_VALUE_STORE_LISTS": {
"type": "integer",
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"REQUEST_QUEUE_WRITES": {
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},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
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"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
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Google Jobs Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. 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 from the options below:

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients: