Google Jobs Scraper

Scrape job listings from Google for Jobs — the job search widget that appears directly in Google search results. Extract structured data including job titles, companies, salaries, descriptions, qualifications, benefits, apply links, and more.

What is Google for Jobs?

Google for Jobs is a job search aggregator that pulls listings from hundreds of job boards (Indeed, LinkedIn, Glassdoor, ZipRecruiter, etc.) and displays them directly in Google search results. This actor scrapes that aggregated data, giving you a single unified view across all job sources.

Features

• Comprehensive extraction: Job title, company, location, salary, description, qualifications, benefits, job type, schedule, remote status, and apply URLs
• Multiple extraction strategies: Parses Google's embedded JSON-LD (JobPosting schema), structured data attributes, and falls back to HTML parsing
• Smart filtering: Filter by date posted, job type, remote-only, and location
• Pagination support: Automatically follows Google's job listing pages to collect more results
• Anti-blocking: 12 rotating user agents, proxy support, request throttling, and retry logic
• Pay-per-event pricing: Only pay for successfully scraped job listings ($0.004/job)
• Structured output: Clean JSON output ready for analysis, databases, or spreadsheets

Use Cases

Job Market Research

• Track hiring trends across industries, roles, and locations
• Monitor which companies are expanding or contracting
• Analyze seasonal hiring patterns over time
• Compare job market health across different cities or regions

Salary Benchmarking

• Collect salary data for specific roles across companies and locations
• Build salary databases for compensation analysis
• Track salary trends over time for specific positions
• Compare compensation packages across industries

Recruitment Intelligence

• Monitor competitor hiring activity to understand their strategic direction
• Track new role types emerging in your industry
• Identify which skills and qualifications are in highest demand
• Find companies hiring for roles that match your recruitment pipeline

Competitor Hiring Analysis

• Track which companies are hiring aggressively in your space
• Analyze the skills and qualifications competitors are seeking
• Monitor new teams or departments being built at competing firms
• Understand technology stack adoption through job requirements

Academic Research

• Collect job market data for labor economics research
• Study the impact of remote work on job postings
• Analyze qualification inflation trends over time
• Track diversity and inclusion language in job postings

Career Planning

• Research which skills are most in demand for your target role
• Understand salary ranges across different locations
• Track emerging job titles and career paths
• Compare job requirements across seniority levels

Input Parameters

Parameter	Type	Required	Default	Description
query	String	Yes	-	Job search query (e.g., "software engineer", "marketing manager")
location	String	No	-	Geographic location filter (e.g., "New York, NY", "Remote")
datePosted	Enum	No	any	Filter by posting date: any, today, 3days, week, month
jobType	Enum	No	any	Employment type: any, fulltime, parttime, contractor, internship
remote	Boolean	No	false	Only show remote/work-from-home positions
maxResults	Integer	No	50	Maximum job listings to scrape (0 = unlimited, max 500)
languageCode	String	No	en	Language for search results (ISO 639-1)
countryCode	String	No	us	Country for search results (ISO 3166-1 alpha-2)
proxyConfiguration	Object	No	-	Proxy settings (residential recommended)

Example Input

{
  "query": "software engineer",
  "location": "San Francisco, CA",
  "datePosted": "week",
  "jobType": "fulltime",
  "remote": false,
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Output Format

Each scraped job listing is stored as a JSON object with the following fields:

{
  "jobTitle": "Senior Software Engineer",
  "company": "Google",
  "location": "Mountain View, CA",
  "salary": "$150,000 - $200,000 a year",
  "salaryMin": 150000,
  "salaryMax": 200000,
  "salaryPeriod": "YEAR",
  "salaryCurrency": "USD",
  "description": "We are looking for a Senior Software Engineer to join our Cloud team...",
  "descriptionHtml": "<p>We are looking for...</p>",
  "datePosted": "2 days ago",
  "datePostedParsed": "2026-02-28T00:00:00.000Z",
  "via": "LinkedIn",
  "applyUrl": "https://www.linkedin.com/jobs/view/...",
  "applyUrls": [
    { "source": "LinkedIn", "url": "https://linkedin.com/..." },
    { "source": "Indeed", "url": "https://indeed.com/..." }
  ],
  "qualifications": [
    "Bachelor's degree in Computer Science or equivalent",
    "5+ years of software development experience",
    "Proficiency in Python, Java, or Go"
  ],
  "benefits": [
    "Health insurance",
    "401(k) matching",
    "Remote work flexibility"
  ],
  "responsibilities": [
    "Design and implement scalable backend services",
    "Mentor junior engineers",
    "Participate in code reviews"
  ],
  "jobType": "Full-time",
  "schedule": "Monday to Friday",
  "isRemote": false,
  "companyLogo": "https://encrypted-tbn0.gstatic.com/...",
  "companyRating": 4.3,
  "companyReviewCount": 12500,
  "jobId": "abc123def456",
  "sourceUrl": "https://www.google.com/search?q=software+engineer+jobs",
  "scrapedAt": "2026-03-02T12:00:00.000Z"
}

Output Fields Reference

Field	Type	Description
jobTitle	String	Job position title
company	String	Hiring company name
location	String	Job location
salary	String	Salary as displayed by Google
salaryMin	Number	Parsed minimum salary (annual)
salaryMax	Number	Parsed maximum salary (annual)
salaryPeriod	String	Salary period: YEAR, MONTH, HOUR
salaryCurrency	String	Salary currency code (e.g., USD)
description	String	Full job description (plain text)
descriptionHtml	String	Job description with HTML formatting
datePosted	String	Relative posting date ("2 days ago")
datePostedParsed	String	Parsed ISO 8601 date
via	String	Source job board (Indeed, LinkedIn, etc.)
applyUrl	String	Primary application URL
applyUrls	Array	All application URLs with source names
qualifications	Array	Required qualifications
benefits	Array	Listed benefits and perks
responsibilities	Array	Job responsibilities
jobType	String	Employment type (Full-time, Part-time, etc.)
schedule	String	Work schedule if specified
isRemote	Boolean	Whether the job is remote
companyLogo	String	URL of the company logo
companyRating	Number	Company rating (e.g., 4.3 out of 5)
companyReviewCount	Number	Number of company reviews
jobId	String	Unique job identifier
sourceUrl	String	Google search URL used
scrapedAt	String	ISO 8601 timestamp of when the job was scraped

Tips for Best Results

1. Use specific queries: "senior python developer" works better than "developer"
2. Add location: Always specify a location for more targeted results
3. Use residential proxies: Google blocks datacenter IPs aggressively
4. Start small: Test with maxResults: 10 before running large scrapes
5. Combine filters: Use datePosted: "week" + jobType: "fulltime" for focused results

Proxy Configuration

Google is aggressive about blocking automated requests. For reliable results:

• Residential proxies are strongly recommended
• Datacenter proxies may work for small volumes but will get blocked quickly
• Set proxy groups to ["RESIDENTIAL"] in the Apify proxy configuration

Rate Limits and Fair Use

• The actor automatically throttles requests to avoid triggering Google's anti-bot measures
• Each search page returns approximately 10 job listings
• Large scrapes (500+ jobs) may take several minutes due to rate limiting
• The actor respects Google's robots.txt and rate limits

Pricing

This actor uses Pay-Per-Event (PPE) pricing:

Event	Price	Description
job-scraped	$0.004	Charged per job listing successfully scraped

Example: Scraping 100 job listings costs approximately $0.40.

Integration Examples

Export to CSV

Use the Apify dataset export feature to download results as CSV for spreadsheet analysis.

Webhook to Database

Set up an Apify webhook to POST results to your API endpoint after each run.

Schedule Regular Runs

Use Apify schedules to run the actor daily/weekly for ongoing job market monitoring.

Changelog

v1.0.0 (2026-03-02)

• Initial release
• Google for Jobs widget scraping with multiple extraction strategies
• Support for all Google Jobs filters (date, type, remote, location)
• JSON-LD schema.org/JobPosting parsing
• HTML fallback extraction
• Pay-per-event pricing
• 12 rotating user agents
• Comprehensive proxy support

Support

If you have questions or issues, please open an issue on the actor's page or contact the author.

License

MIT License. This actor is provided as-is for legitimate job market research purposes. Please respect Google's Terms of Service and the job boards' terms when using scraped data.

Related Actors

• Indeed Scraper — Indeed job listings
• LinkedIn Jobs Scraper — LinkedIn job data
• Indeed Salary Scraper — Salary benchmarks
• Glassdoor Scraper — Company reviews
• Job Market Analyzer — Multi-source job intelligence