🔍 Google Jobs Scraper

Scrape job listings from Google Jobs! Search for jobs by keyword, location, and filters. Extract comprehensive job data including title, company, salary, description, qualifications, benefits, responsibilities, and apply links from multiple platforms. Perfect for job market research, recruitment analytics, salary benchmarking, and career opportunities tracking!

📋 Table of Contents

• ✨ Key Features
• 📊 Input Parameters
• 📤 Output Data Structure
• 💡 Usage Examples
• 🎯 Use Cases
• ❓ Frequently Asked Questions
• 💬 Support
• 🏷️ Tags

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✨ Key Features

Feature	Description
💼 Job Listings	Extract job title, company name, and job ID
🏢 Company Info	Get employer name, website, logo, and publisher
💰 Salary Data	Salary range, min/max salary, and payment period
📍 Location Details	Full location, city, state, country, and coordinates
🏠 Remote Jobs	Filter and identify remote/work-from-home positions
📅 Posting Date	Job posted date and timestamp information
📋 Qualifications	Required skills, experience, and education
🎁 Benefits	Health insurance, PTO, retirement, and other perks
📝 Responsibilities	Detailed job duties and responsibilities
🔗 Apply Links	Multiple apply options from different platforms
🔍 Google Jobs Link	Direct link to Google Jobs listing
⏰ Employment Type	Full-time, part-time, contractor, intern

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📊 Input Parameters

Parameter	Type	Required	Default	Description
query	String	✅ Yes	-	Job search query (e.g., "software developer jobs in New York")
page	Integer	❌ No	1	Starting page number (1-50)
country	String	❌ No	us	Two-letter ISO country code (us, gb, de, in, etc.)
language	String	❌ No	-	Two-letter ISO language code (en, de, es, etc.)
datePosted	Enum	❌ No	all	Filter by posting date: all, today, 3days, week, month
workFromHome	Boolean	❌ No	false	Show only remote/work-from-home jobs
employmentTypes	Array	❌ No	-	Filter by type: FULLTIME, CONTRACTOR, PARTTIME, INTERN
jobRequirements	Array	❌ No	-	Filter by experience: under_3_years_experience, more_than_3_years_experience, no_experience, no_degree

Search Query Examples

✅ "software developer jobs in San Francisco"
✅ "data analyst jobs in US"
✅ "marketing manager in New York via LinkedIn"
✅ "remote python developer"
✅ "entry level data scientist"

Supported Countries

Use ISO 3166-1 alpha-2 country codes:

• us - United States
• gb - United Kingdom
• de - Germany
• in - India
• ca - Canada
• au - Australia
• fr - France
• And more...

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📤 Output Data Structure

Each extracted job contains comprehensive information organized into categories:

Job Identifiers

Field	Type	Description
index	Number	Index number of the job in results
jobId	String	Unique job identifier
jobTitle	String	Job title/position name

Employer Information

Field	Type	Description
employerName	String	Company/employer name
employerLogo	String	Company logo URL
employerWebsite	String	Company website URL
jobPublisher	String	Platform where job was posted (LinkedIn, Indeed, etc.)

Job Details

Field	Type	Description
jobDescription	String	Full job description text
jobDescriptionPreview	String	First 500 characters of description
employmentType	String	Employment type (Full-time, Part-time, etc.)
employmentTypes	String	All employment types available

Apply Information

Field	Type	Description
jobApplyLink	String	Primary application URL
jobApplyIsDirect	Boolean	Whether it's a direct apply link
applyPlatforms	String	Comma-separated list of platforms
applyOptions	Array	Array of apply options with platform, URL, and isDirect

Location Information

Field	Type	Description
jobLocation	String	Full location string
jobCity	String	City name
jobState	String	State/Province
jobCountry	String	Country code
latitude	Number	GPS latitude coordinate
longitude	Number	GPS longitude coordinate
isRemote	Boolean	Remote work status

Posting Date

Field	Type	Description
jobPostedAt	String	Human-readable posting date
jobPostedAtTimestamp	Number	Unix timestamp
jobPostedAtDatetime	String	ISO datetime (UTC)

Salary Information

Field	Type	Description
salary	String	Formatted salary range
minSalary	Number	Minimum salary amount
maxSalary	Number	Maximum salary amount
salaryPeriod	String	Payment period (YEAR, MONTH, HOUR)

Benefits

Field	Type	Description
jobBenefits	String	Comma-separated benefits
benefitsList	Array	Array of benefit categories
benefits	Array	Detailed benefits from highlights
benefitsHighlightsText	String	Benefits separated by bullets

Job Highlights

Field	Type	Description
qualifications	Array	Required qualifications list
qualificationsText	String	Qualifications separated by bullets
responsibilities	Array	Job responsibilities list
responsibilitiesText	String	Responsibilities separated by bullets

Additional Information

Field	Type	Description
jobGoogleLink	String	Google Jobs listing URL
jobOnetSoc	String	O*NET SOC code
jobOnetJobZone	String	O*NET job zone classification

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💡 Usage Examples

Example 1: Basic Job Search

Search for software developer jobs in the US:

{
  "query": "software developer jobs in US",
  "page": 1,
  "country": "us"
}

Example 2: Remote Jobs Only

Find remote data analyst positions:

{
  "query": "data analyst",
  "country": "us",
  "workFromHome": true,
  "datePosted": "week"
}

Example 3: Entry Level Jobs

Search for entry-level positions with no experience required:

{
  "query": "marketing assistant jobs in New York",
  "country": "us",
  "jobRequirements": ["no_experience"],
  "employmentTypes": ["FULLTIME"]
}

Example 4: Recent Full-Time Jobs

Find full-time jobs posted in the last 3 days:

{
  "query": "product manager jobs in San Francisco",
  "country": "us",
  "datePosted": "3days",
  "employmentTypes": ["FULLTIME"]
}

Example 5: International Job Search

Search for jobs in Germany:

{
  "query": "software engineer jobs in Berlin",
  "country": "de",
  "language": "en"
}

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🎯 Use Cases

📊 Job Market Research

• Salary Benchmarking - Analyze salary ranges across positions and locations
• Market Trends - Track job posting volumes and requirements
• Skills Analysis - Identify in-demand skills and qualifications
• Geographic Analysis - Compare job markets across cities and countries

📈 Recruitment Analytics

• Competitor Intelligence - Monitor competitor hiring activities
• Talent Mapping - Identify where target talent is located
• Job Board Analysis - Compare job postings across platforms
• Hiring Trends - Track employment type and benefit offerings

💼 Career Planning

• Job Hunting - Find relevant job opportunities efficiently
• Career Research - Understand job requirements and expectations
• Salary Research - Know market rates for your skills
• Location Planning - Find jobs in desired locations

🏢 Business Intelligence

• Industry Analysis - Study hiring patterns in specific industries
• Economic Indicators - Track job market health and growth
• Skills Gap Analysis - Identify training and education needs
• Remote Work Trends - Monitor remote job availability

🤖 Automation & Integration

• Job Alerts - Build automated job notification systems
• Job Aggregators - Create job search platforms
• Career Portals - Power career advice and job matching sites
• Data Analysis - Feed ML models for job recommendations

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❓ Frequently Asked Questions

General Questions

Q: What is Google Jobs Scraper?
A: A powerful Apify actor that searches and extracts comprehensive job listing data from Google Jobs, including job details, company information, salary, qualifications, benefits, and apply links from multiple platforms.

Q: How many jobs can I scrape at once?
A: Each page contains up to 10 jobs. You can fetch up to 50 pages (500 jobs) in a single run.

Q: Is this scraper free to use?
A: The actor runs on Apify platform. You'll need an Apify account and will be charged based on platform usage (compute units).

Q: What data format does it output?
A: Data is exported in JSON, CSV, Excel, HTML, or XML format through Apify's dataset storage.

Search Questions

Q: How do I write effective search queries?
A: Include both job title and location for best results. Examples: "software developer jobs in New York", "marketing manager in Chicago".

Q: Can I search for remote jobs only?
A: Yes! Set workFromHome: true to filter for remote/work-from-home positions only.

Q: Can I filter by experience level?
A: Yes, use the jobRequirements parameter with values like "no_experience", "under_3_years_experience", etc.

Q: How do I search for jobs in other countries?
A: Use the country parameter with the appropriate ISO country code (e.g., "gb" for UK, "de" for Germany).

Data Questions

Q: What data fields are extracted?
A: Over 30 fields including job title, company, salary, location, coordinates, qualifications, benefits, responsibilities, and multiple apply links.

Q: Do I get salary information?
A: Yes, when available. You get salary range, minimum/maximum salary, and payment period.

Q: Are apply links included?
A: Yes! You get the primary apply link plus alternative apply options from different platforms (LinkedIn, Indeed, etc.).

Q: Can I get coordinates for mapping?
A: Yes! Each job includes latitude and longitude coordinates when available.

Technical Questions

Q: How long does it take to run?
A: Typically 5-10 seconds per page (10 jobs).

Q: What if no jobs are found?
A: The scraper will return a record indicating no results were found for your search query.

Q: Can I schedule regular runs?
A: Yes, use Apify's scheduler feature to run the actor at specific intervals (hourly, daily, weekly).

Export & Integration

Q: What file formats are supported?
A: JSON, CSV, Excel (XLSX), HTML, XML, and RSS feed formats.

Q: Can I integrate this with other tools?
A: Yes, use Apify's API or webhooks to integrate with your tools, CRMs, ATS, and workflows.

Q: How do I download the extracted data?
A: Data is automatically saved to Apify dataset. You can download it from the platform or access via API.

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💬 Support

Need Help?

• 📧 Issues - Report bugs through Apify platform
• 💡 Feature Requests - Submit enhancement suggestions
• 🤝 Community - Join Apify community for discussions

Troubleshooting

Issue	Solution
"No jobs found"	Try broader search terms or different location
Rate limit errors	The actor automatically handles this with retry logic
Invalid country code	Use ISO 3166-1 alpha-2 codes (us, gb, de, etc.)
Empty dataset	Check if your search query is valid

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🏷️ Tags

google jobs scraper, job scraper, job search api, google jobs api, job listings scraper, job data extractor, recruitment data, job market research, salary data scraper, career data, employment scraper, job board scraper, linkedin jobs, indeed jobs, job aggregator, job search automation, recruitment analytics, talent acquisition, job posting scraper, employment data, job description scraper, company jobs, remote jobs scraper, job benefits scraper, job qualifications, apply links scraper, job location data, salary benchmarking, job market analysis, career research, job hunting tool, employment trends

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📊 Dataset Views

The actor provides 8 organized table views for easy data analysis:

1. 💼 Jobs Overview - Quick summary with title, company, location, salary, and posting date
2. 🏢 Company Details - Employer information, website, logo, and apply links
3. 💰 Salary Information - Salary ranges, min/max values, and benefits
4. 📍 Location Details - Full location data with city, state, country, and coordinates
5. 📋 Qualifications - Required skills, experience, and education
6. 🎁 Benefits & Perks - Health insurance, PTO, retirement plans, and other benefits
7. 📝 Responsibilities - Detailed job duties and responsibilities
8. 🔗 Apply Links - Multiple apply options from different platforms

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🚀 Get Started Now

Ready to scrape Google Jobs data?

1. 🔎 Enter your search query (e.g., "software developer jobs in New York")
2. ⚙️ Configure filters (location, date, remote, employment type)
3. ▶️ Click Start to run the actor
4. 📥 Download your job data in JSON, CSV, Excel, or HTML format
5. Click "Try for free" to test the actor

⭐ If this actor helps your workflow, please give it a star!

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