Pricing

$5.00/month + usage

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Google Careers Scraper

Try for free

Google Careers Scraper extracts job listings from the Google Careers website. It collects details such as job title, location, department, job ID, description, and application links. Ideal for job market analysis, recruitment research, and building job databases from Google Careers pages.

Pricing

$5.00/month + usage

Rating

5.0

(3)

Developer

ScrapeAI

Actor stats

Bookmarked

Total users

Monthly active users

17 days ago

Last modified

Google Careers Jobs Scraper

Actor for scraping job listings from [Google Careers]. It searches for jobs by query and location, extracting title, company, salary, requirements, application link, and more.

What It Does

This scraper searches Google Careers for your query and location and extracts detailed information about each job listing. Perfect for job market research, recruiting analysis, and career exploration.

Input

Field	Type	Description	Default
query	String	Job search query (e.g. "Software Engineer")	"Software Engineer"
location	String	Location filter (e.g. "San Francisco, CA, USA")	"San Francisco, CA, USA"
maxResults	Number	Maximum number of jobs to scrape	20
proxyConfiguration	Object	Proxy settings	Apify Residential

Example Input

{
    "query": "Software Engineer",
    "location": "San Francisco, CA, USA",
    "maxResults": 20
}

Output

Each job result includes:

Field	Type	Description
position	Number	Position in the results
title	String	Job title
company_name	String	Name of the hiring company
location	String	Job location
description	String	Job description snippet
salary	String	Salary or compensation range
job_type	String	Employment type (Full-time, Part-time, Contract, etc.)
posted_date	String	When the job was posted (e.g. "2 days ago")
application_link	String	Direct URL to apply for the job
company_logo	String	URL of the company logo image
requirements	Array	List of job requirements or qualifications
query	String	The search query used
search_location	String	The location filter used
scrapedAt	String	ISO timestamp of when the data was scraped

Example Output

{
    "position": 1,
    "title": "Senior Software Engineer",
    "company_name": "Google",
    "location": "San Francisco, CA",
    "description": "We are looking for a talented engineer to join our team and work on large-scale distributed systems.",
    "salary": "$150,000 - $200,000",
    "job_type": "Full-time",
    "posted_date": "1 day ago",
    "application_link": "https://www.google.com/about/careers/applications/jobs/results/12345678901234567",
    "company_logo": "https://logo.url",
    "requirements": [
        "5+ years of software engineering experience",
        "Proficiency in Python, Java, or Go",
        "Experience with distributed systems",
        "Strong problem-solving skills"
    ],
    "query": "Software Engineer",
    "search_location": "San Francisco, CA, USA",
    "scrapedAt": "2026-03-10T10:00:00.000Z"
}

Supported Features

Search for jobs by keyword query (e.g. "Software Engineer", "Product Manager", "Data Scientist")
Filter by location (city, state, country)
Extracts salary, job type, requirements, and application links
Automatic scroll to load more job results
Handles Google consent dialogs automatically
Residential proxy support for reliable scraping

Tips

Use specific titles like "Senior Software Engineer" or "ML Engineer" for targeted results
Set location to a city or region to filter by geography (e.g. "New York, NY, USA", "London, UK")
Leave location empty to search globally
Start with a small maxResults value to test before running larger scrapes
Use Apify Proxy with the RESIDENTIAL group for best results and to avoid blocks

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