The Google Jobs Scraper empowers users to extract and organize Google Jobs Results effortlessly. It efficiently retrieves valuable information such as "googleJobs" and "categories." Users can customize parameters like country, language, and job radius, tailoring the extraction process to specific needs. The tool also enables the retrieval of custom attributes. Data can be conveniently downloaded in various formats, including HTML table, JSON, CSV, Excel, and XML, enhancing accessibility and usability.
Our Google Jobs Scraper efficiently navigates Google Jobs Search Results Pages, extracting structured data from the HTML in formats like JSON, XML, CSV, or Excel. It captures critical information from each Google Jobs result, including details about the job listing itself (Google Jobs) and the associated categories. This process ensures organized and accessible data retrieval for comprehensive analysis and further use.
The Google Jobs Scraper delivers real-time results tailored for structured JSON output, providing flexibility for download and versatile usage. This optimized functionality empowers users to obtain and manipulate data according to their preferences and requirements.
The scraper optimally utilizes one Real Data API proxy for each request, ensuring efficient use. It fetches up to 100 results per request to maximize results, surpassing the default ten results per page. Users have the flexibility to set the maxPagesPerQuery parameter to increase the number of results obtained for each query.
The actor provides precise control over the nature of Google Jobs results you receive. You can customize settings such as query phrases, raw URLs, country, language, exact geolocation, job radius, and filters for date, job type, and industry. Additionally, you can specify the maximum number of pages per query. For detailed information on all settings, refer to the input specification.
The actor saves its outcomes in the default dataset linked to the actor run, facilitating export in diverse formats like JSON, XML, CSV, or Excel. Accessing results is possible through the Get dataset items API endpoint. Each Google Jobs results page corresponds to a single record in the dataset, formatted in JSON. Note that specific fields contain example values.
{
"searchQuery": {
"term": "developer",
"page": 1,
"type": "SEARCH",
"domain": "example.com",
"countryCode": "US",
"languageCode": null,
"locationUule": null,
"resultsPerPage": 10
},
"url": "https://www.example.com/search?ibp=htl%3Bjobs&q=developer",
"hasNextPage": true,
"jobListings": [
{
"title": "Senior Developer",
"companyName": "Tech Innovations Inc.",
"location": "California",
"via": "via TechNews Jobs",
"description": "",
"jobHighlights": "",
"applyLink": {
"title": "Apply on Indeed",
"link": ""
},
"relatedLinks": [
{
"link": "https://www.example.com/search?hl=en&q=Senior+Developer",
"text": "Search for senior developer"
}
],
"extras": [
"2 days ago",
"Full-time",
"Bachelor's degree required",
"Health benefits",
"401(k) plan",
"Flexible work hours"
],
"metadata": {
"postedAt": "2 days ago",
"scheduleType": "Full-time"
}
},
{
"title": "Junior Developer",
"companyName": "CodeCrafters LLC",
"location": "New York",
"via": "via CodeHub Jobs",
"description": "",
"jobHighlights": "",
"applyLink": {
"title": "Apply on LinkedIn",
"link": ""
},
"extras": [
"1 week ago",
"Part-time",
"Associate degree preferred",
"Medical insurance",
"Remote work option"
],
"metadata": {
"postedAt": "1 week ago",
"scheduleType": "Part-time"
}
},
...
],
"jobCategories": [
{
"type": "Title",
"param": "job_family_1",
"options": [
{
"text": "All"
},
{
"text": "Developer",
"value": "developer"
},
{
"text": "Frontend Developer",
"value": "frontend_developer"
},
{
"text": "Backend Developer",
"value": "backend_developer"
},
...
]
},
{
"type": "Location",
"param": "city",
"options": [
{
"text": "All"
},
{
"text": "Los Angeles, CA",
"value": "xyz123"
},
{
"text": "San Francisco, CA",
"value": "abc456"
},
...
]
},
{
"type": "Date posted",
"param": "date_posted",
"options": [
{
"text": "All"
},
{
"text": "Past day",
"value": "today"
},
{
"text": "Past 3 days",
"value": "3days"
},
...
]
}
...
]
}
When opting for a tabular format like CSV or XLS, the output will present a table where each row corresponds to a single Google Jobs result. Refer to the documentation for the Get dataset items API endpoint for comprehensive information on exporting and formatting the dataset records.
It's essential to note that search results may include personal data safeguarded by GDPR in the European Union and other global regulations. Scrapping personal data is permissible only when a legitimate reason exists. If you need more clarity about the legitimacy of your purpose, seek legal professionals' advice. Additionally, you can refer to our blog post on the legality of web scraping for further insights.
Check out how industries are using Google Jobs Scraper around the world.
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Disclaimer : Real Data API only extracts publicly available data while maintaining a strict policy against collecting any personal or identity-related information.
