Google Careers Scraper
Overview
Google Careers scraper designed to gather detailed job data. It collects job listing information such as the job title, company name, location, job description, and over 10 additional data points directly from the Google job listing page. This tool offers a comprehensive view of job opportunities, helping users efficiently analyze and compare job listings across various companies and industries.
How to Use
- Log in to your ScrapeHero Cloud account.
- Navigate to the Google Careers Scraper App in the ScrapeHero App Store.
- Click on "Create New Project".
- Go to https://careers.google.com/ and search for a job at any location. For Example: Software Engineer, San Francisco.
- Copy the listing URL into the Input field of this crawler.
- Specify the number of the data records you want to gather from the project run.
- Click "Gather Data" to begin the data extraction process.
- Once complete, download your data in your preferred format (CSV, JSON, or Excel) or connect any of the available integrations to get seamless access to the scraped data.
Data Schema
The Google Careers Scraper App provides the following data fields:
| Field Name | Description | Data Type |
|---|---|---|
| total_job_count | total job listed | TextField |
| rank | job ranking | IntField |
| job_id | id for job | TextField |
| job_title | title of job | TextField |
| apply_url | job application URL | TextField |
| company_name | name of the company | TextField |
| job_responsibilities | responsibilities of job | TextField |
| qualifications | qualifications for the job | TextField |
| description | job description | TextField |
| address | company address | JSONField |
| application_instruction | instructions for job application | TextField |
| job_url | job URL | TextField |
| locations_count | job location count | IntField |
| date_published | date on which job is published | TextField |
| time_published | time on which job is published | TextField |
| listing_url | job listing URL | TextField |
Sample Data Record
Here's an example of a typical data record returned by this scraper:
This scraper uses 1 data credit per data record. Learn more about data credits.
{
"address": [
{
"address_lines": [
"Goleta, CA, USA"
],
"city": "Goleta",
"country": "CA",
"country_code": "US",
"display": "Goleta, CA, USA",
"is_remote": false,
"lat": 34.4358294,
"lon": -119.8276389,
"post_code": ""
},
{
"address_lines": [
"Los Angeles, CA, USA"
],
"city": "Los Angeles",
"country": "CA",
"country_code": "US",
"display": "Los Angeles, CA, USA",
"is_remote": false,
"lat": 34.0549076,
"lon": -118.242643,
"post_code": ""
}
],
"application_instruction": null,
"apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckXRB726jwg_EPXu87Nscvj5DTKOyTblHsesCY6W5d9MdEjsArIBM33l7586vPDB4syxLYTIRT_7yHkqYkJwlJF0g89_myaPi4DmESGFs3OEkXNP764PGhTVh-4BC9g%3D%3D_V2&jobTitle=Quantum+Error+Correction+Research+Scientist&loc=US",
"company_name": "Google",
"date_published": "2024-07-26",
"description": "Google Quantum AI's mission is to build a large-scale computer capable of complex, error-corrected computations and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.The Quantum Error Correction Theory team studies the design and implementation of error correction schemes, including logical gates and decoding algorithms. This team collaborates closely with experimentalists on implementing error correction with superconducting qubits, so research is focused towards codes that could be implemented in this system, such as topological codes or LDPC codes.As a Quantum Error Correction Research Scientist, you will perform research to invent new protocols or improve existing protocols for quantum error correction, such as compiling logical gates and implementing accurate decoding. In this role, you will collaborate closely with software engineers to develop and maintain the supporting software, and with other research scientists and hardware engineers in designing and implementing error correction experiments. You will present research findings in internal presentations, external presentations such as conferences, and in academic papers.The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.",
"job_id": "140862877312393926",
"job_responsibilities": "Study quantum error correction schemes using theory and simulation software. Develop software to implement quantum error correction operations like syndrome decoding. Collaborate with other research scientists, software engineers, and hardware engineers. Analyze data from quantum error correction experiments. Present research findings in technical talks and journal publications.",
"job_title": "Quantum Error Correction Research Scientist, Quantum AI",
"job_url": "https://www.google.com/about/careers/applications/jobs/results/140862877312393926-quantum-error-correction-research-scientist-quantum-ai?target_level=MID&location=Michigan+City,+IN,+USAhttps://www.google.com/about/careers/applications/jobs/results/?q%3D%22Software+Engineer%22&location=Los+Angeles,+CA,+USA&page=1",
"listing_url": "https://www.google.com/about/careers/applications/jobs/results/?target_level=MID&location=Michigan%20City%2C%20IN%2C%20USAhttps://www.google.com/about/careers/applications/jobs/results/?q=%22Software%20Engineer%22&location=Los%20Angeles,%20CA,%20USA&page=1",
"locations_count": 2,
"qualifications": "Minimum qualifications: PhD in Quantum Computing, Physics, Computer Science, Mathematics, Electrical Engineering, or equivalent practical experience. Research experience in error correction or quantum computing. Experience writing software in research projects. One or more scientific publication submission(s) for conferences, journals, or public repositories. Preferred qualifications: Experience as a recognized researcher in quantum error correction. Experience writing software to simulate or study quantum error correction. Research experience with surface codes and other topological codes, LDPC codes. Proficient with C++.",
"rank": 1,
"time_published": "17:00:36",
"total_job_count": "118"
}
Features
- Comprehensive Data Extraction from Google careers.
- Real-time scraping of up-to-date information.
- Bulk scraping capabilities for multiple listing url for different jobs listings from google.
- Data export in multiple formats (CSV, JSON, Excel).
Learn More: For detailed information on using the Google career Scraper and its different use cases, read our guide: How to Scrape Google Careers
Related Scrapers
- Glassdoor Job Listing Scraper: Extracts job listings from Glassdoor
Support
If you encounter any issues or have questions, please contact our support team at cloud-support@scrapehero.com or browse our help center at https://app.scrapehero.com/docs/.