Google Careers Jobs Scraper

What is Google Careers Jobs Scraper and how does it work?

Google Careers Jobs Scraper is a web scraping tool that enables you to extract job listing data from Google Careers. This tool helps you gather detailed information about job opportunities directly from Google's career pages.

How to use Google Careers Jobs Scraper:

1. Enter Search Query: Input the job title or keyword you want to search for on Google Careers.
2. Run Scraper: Paste the links to the desired web pages into the Job configurator and run it.
3. Extract Data: The scraper will collect job titles, company names, locations, posting dates, and other relevant details.
4. Download Data: The extracted data can be downloaded in various structured formats.

Why scrape Google Careers Jobs?

Scraping Google Careers Jobs can help you:

➡️ Monitor job market trends and opportunities.

➡️ Analyze job postings for competitive intelligence.

➡️ Enhance your recruitment process with up-to-date job listings.

How many results can you scrape with Google Careers Jobs Scraper?

Google Careers Jobs Scraper can return a large number of job listings based on the search query. The exact number of results may vary depending on the search parameters. Conducting a test run is recommended to determine the output for your specific needs.

How much will scraping Google Careers Jobs cost you?

The cost of scraping will depend on the volume of data and the frequency of scraping. Each link will cost you a 10 credits with web browser rendering and 1 credit without web browser rendering.

IMPORTANT

This website will pre-load and parse correctly with and without web browser rendering.

Sample output from Google Careers Scraper

{
    "type": "main",
    "keyword": "driver",
    "jobs": [
        {
            "type": "job_item",
            "job_title": "Staff UX Program Manager, Consumer UX",
            "job_url": "https://www.google.com/about/careers/applications/jobs/jobs/results/131265730409571014-staff-ux-program-manager-consumer-ux?q=driver&location=United%20States",
            "job_company": "Google",
            "job_location": "Mountain View, CA, USA ; San Francisco, CA, USA",
            "skills_level": "Advanced",
            "minimum_qualifications": [
                "Bachelor's degree or equivalent practical experience. \n",
                "10 years of experience managing and scaling UX related programs. 10 years of experience driving operational efforts across organizations. \n",
                "Experience with UX disciplines and user-centered development tools and methodologies. \n",
                "Experience analyzing data and leveraging insights to develop solutions. Experience improving the velocity/productivity of teams, products, and systems. \n"
            ],
            "xpath": "/html[1]/body[1]/c-wiz[1]/div[1]/div[2]/div[1]/div[1]/div[2]/main[1]/div[1]/c-wiz[1]/div[1]/ul[1]/li[1]/div[1]",
            "stream_position": 798317
        },
        {
            "type": "job_item",
            "job_title": "Principal Engineer, Foundations Performance",
            "job_url": "https://www.google.com/about/careers/applications/jobs/jobs/results/141411655813604038-principal-engineer-foundations-performance?q=driver&location=United%20States",
            "job_company": "Google",
            "job_location": "Sunnyvale, CA, USA",
            "skills_level": null,
            "minimum_qualifications": [
                "Bachelor’s degree in Computer Science, or similar technical field of study or equivalent \n",
                "15 years of professional experience as a software engineer or 13 years with an advanced degree.\n",
                "Experience with technical innovation in Frameworks, Libraries, Tools, APIs, or related fields."
            ],
            "xpath": "/html[1]/body[1]/c-wiz[1]/div[1]/div[2]/div[1]/div[1]/div[2]/main[1]/div[1]/c-wiz[1]/div[1]/ul[1]/li[20]/div[1]",
            "stream_position": 935154
        }
    ],
    "xpath": "/html[1]",
    "stream_position": 15
}