
๐ผ Indeed Scraper - Global Job Listings & Career Insights
Pricing
Pay per event

๐ผ Indeed Scraper - Global Job Listings & Career Insights
Mass hiring Indeed API for high-volume recruitment. Extract millions of jobs from Indeed's database - entry-level to hourly positions, blue-collar and retail roles, accessible opportunities. Trusted by 5000+ staffing agencies and volume recruiters.
5.0 (1)
Pricing
Pay per event
1
3
3
Last modified
21 hours ago
Advanced Indeed Scraper API 2025 - The world's most comprehensive job market intelligence platform extracting millions of job listings from Indeed's global database across 70+ countries. Specialized for high-volume recruitment, mass hiring operations, and enterprise-grade workforce analytics. Extracts complete job data including entry-level positions, hourly work, retail jobs, executive roles, remote opportunities, and gig economy positions with 40+ data fields per listing. Trusted by Fortune 500 companies, staffing agencies, and recruitment platforms for real-time job market intelligence, economic forecasting, and automated workforce planning.
๐ Why Our Indeed Scraper is the ULTIMATE Mass Hiring & Volume Recruitment Engine
- ๐ฏ INDEED'S COMPREHENSIVE JOB DATABASE ACCESS - The ONLY scraper that extracts millions of job listings from Indeed's massive database, leveraging Indeed's position as the world's #1 job site with 250M+ monthly users across 60+ countries
- ๐ฅ INDEED'S UNIVERSAL JOB COVERAGE - Access Indeed's complete job spectrum from entry-level retail positions to executive roles, including Indeed's specialty in hourly work, blue-collar jobs, and remote opportunities that other platforms miss
- โก INDEED-SPECIFIC REAL-TIME INTELLIGENCE - Monitor Indeed's job posting patterns with instant updates on new opportunities, leveraging Indeed's unique job categorization and employer posting behaviors for market trend analysis
- ๐ INDEED'S GLOBAL MARKET PENETRATION - Optimized for Indeed's strongest markets (US, Canada, UK, Australia) with intelligent handling of Indeed's regional variations, currency formats, and local job market characteristics
- ๐ INDEED'S ENTERPRISE-GRADE PROCESSING - Process Indeed's high-volume job postings with advanced filtering that respects Indeed's rate limits and anti-bot measures, ensuring reliable data extraction for staffing agencies
โก How to Extract Indeed Job Data in 5 Simple Steps
Start extracting Indeed mass hiring data today - No coding required!
- ๐ Set Max Results - Choose maximum number of results per search term per platform for optimal multi-platform data collection (e.g., 100, 1000, 10000)
- ๐ Set Posted Since - Choose how recent the jobs should be from all platforms for comprehensive market intelligence (e.g., "1 days", "7 days", "2 weeks")
- ๐ Enter Search Terms - Simply enter job titles, skills, or company names you're looking for across all platforms (e.g., "Software Engineer", "Data Scientist", "Google")
- ๐ Select Country & Location - Choose your target country and optionally specify city/region for precise multi-platform
- ๐ Start Unified Processing - Watch our multi-platform extraction engine harvest job data from Indeed, LinkedIn, Glassdoor & ZipRecruiter in real-time
Sample Input Configuration
{"max_results": 250,"posted_since": "3 days","search_terms": ["Product Manager", "Product Owner", "Product Analyst"],"country": "Japan","location": "Tokyo"}
๐ฅ Input Configuration
Required Parameters
Parameter | Type | Description | Example |
---|---|---|---|
max_results | number | Maximum number of results to extract per search term | 100 , 1000 , 10000 |
posted_since | string | Extract jobs from this date to present | "7 days" , "2024-08-25" |
search_terms | array | Enter job title, skills, or company name you're looking for | ["Software Engineer", "Full Stack Developer"] |
country | string | Select target country for job search | "United States" , "Germany" |
Optional Parameters
Parameter | Type | Description | Example |
---|---|---|---|
location | string | Specify city or region (optional) | "New York, NY" , "Los Angeles, CA" |
Date Format Options
- Relative Timeframes:
"1 days"
,"7 days"
,"2 weeks"
,"1 month"
,"1 year"
- Absolute Dates:
YYYY-MM-DD
format (e.g.,"2024-08-25"
) - Pattern:
^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$
or^(\\d+)\\s*(day|week|month|year)s?$
Note: Recent jobs have higher relevance and better data quality.
Location Format Options
- City, State/Province:
"New York, NY"
,"Los Angeles, CA"
,"Chicago, IL"
- City Only:
"London"
,"Tokyo"
,"Singapore"
- Region/Area:
"Greater New York"
,"Bay Area"
,"Greater London"
- Note: Location should NOT include country name (use separate country parameter)
Supported Countries
The tool supports 70+ countries including: United States, United Kingdom, Germany, Canada, Australia, India, France, Netherlands, Singapore, Switzerland, Ireland, Sweden, Denmark, Norway, Austria, Belgium, Finland, Italy, Spain, Poland, Japan, South Korea, China, Hong Kong, Taiwan, Malaysia, Thailand, Philippines, Indonesia, New Zealand, United Arab Emirates, Israel, Saudi Arabia, Qatar, Kuwait, Bahrain, Oman, Brazil, Mexico, Argentina, Chile, Colombia, Peru, Uruguay, Venezuela, Costa Rica, Panama, Czech Republic, Portugal, Greece, Hungary, Romania, Bulgaria, Croatia, Slovakia, Slovenia, Estonia, Latvia, Lithuania, Luxembourg, Malta, Cyprus, South Africa, Nigeria, Morocco, Egypt, Turkey, Ukraine, Bangladesh, Pakistan, Vietnam, Ecuador.
Note: Country selection determines available platforms and salary currency for the job search.
๐ค Job Data Output Format & API Response
Structured Job Data Schema
Each extracted job listing contains comprehensive employment intelligence with the following fields:
Field | Type | Description |
---|---|---|
processor | string | URL of the Apify actor that processed this job |
processed_at | string | ISO formatted timestamp when the job was scraped |
platform | string | Job platform (Indeed, LinkedIn, Glassdoor, etc.) |
platform_url | string | Original job URL on the platform |
official_url | string | Direct link to job posting |
title | string | Job position title |
posted_date | string | Date when job was posted |
location | string | Job location or city |
is_remote | boolean | Whether the job allows remote work |
description | string | Full job description and requirements |
job_type | string | Employment type (full-time, part-time, contract) |
job_level | string | Seniority level (junior, senior, manager) |
job_function | string | Job category or function area |
listing_type | string | Type of job listing |
emails | string | Contact email addresses found in job posting |
skills | string | Skills and technologies required for the job |
work_from_home | string | Work from home arrangement details |
vacancy_count | integer | Number of open positions |
experience_range | string | Required years of experience |
salary_period | string | Salary payment period (yearly, monthly, hourly) |
salary_minimum | number | Minimum salary amount |
salary_maximum | number | Maximum salary amount |
salary_currency | string | Currency code for salary (USD, EUR, etc.) |
company_name | string | Name of the hiring company |
company_industry | string | Industry sector of the company |
company_url | string | Company profile URL on job platform |
company_website | string | Official company website URL |
company_logo | string | URL to company logo image |
company_addresses | string | Company office locations |
company_revenue | string | Company annual revenue range |
company_description | string | About the company information |
company_rating | number | Company rating score |
employee_count | string | Number of employees at the company |
review_count | integer | Number of company reviews |
Example Output:
{"processor": "https://apify.com/agentx/linkedin-scraper","processed_at": "2024-12-19T14:23:45.123Z","platform": "LinkedIn","platform_url": "https://linkedin.com/jobs/view/xyz789","official_url": "https://openai.com/careers/ai-engineer","title": "Senior AI Engineer - LLM Infrastructure","posted_date": "2024-12-19T10:00:00.000Z","location": "San Francisco, CA","is_remote": true,"description": "## Role Overview\nWe're seeking a Senior AI Engineer to build next-generation LLM infrastructure...","job_type": "Full-time","job_level": "Senior","job_function": "Engineering","listing_type": "Direct","emails": "careers@openai.com","skills": "Python, PyTorch, CUDA, Kubernetes, Machine Learning","work_from_home": "Hybrid - 2 days remote","vacancy_count": 3,"experience_range": "4-7 years","salary_period": "yearly","salary_minimum": 180000,"salary_maximum": 280000,"salary_currency": "USD","company_name": "OpenAI","company_industry": "Artificial Intelligence","company_url": "https://linkedin.com/company/openai","company_website": "https://openai.com","company_logo": "https://logo.clearbit.com/openai.com","company_addresses": "3180 18th Street, San Francisco, CA 94110","company_revenue": "$1B+","company_description": "Leading AI research company developing safe artificial general intelligence","company_rating": 4.8,"employee_count": "500-1000","review_count": 2847}
Export Formats
- JSON - Complete structured data with all metadata
- Dataset API - Programmatic access via Apify Client
- Cloud Storage - Automatic upload to Apify Dataset with API access
๐ Integration Guides
๐ Actor ID (Copy for platforms):
xO9d32iQjbduePxUD
โ๏ธ Make.com Setup:
- Login to Make.com (Get Credits)
- Add module "Run an Actor"
- Turn 'Map' on - right side of the 'Actor*'
- Paste Actor ID - from above
- Click the 'โณ Refresh' - left side of Map
- Input JSON* - Modify the parameters as needed
- Set "Run synchronously" to YES
- Add module "Get Dataset Items" - receive the result
- In Dataset ID* select defaultDatasetId
๐ฑ N8N.io Setup:
- Add 'Run an Actor and get dataset' - from the apify node
- Actor โ By ID โ Paste Actor ID - from above
- Input JSON - Modify the parameters as needed
{"max_results": 250,"posted_since": "3 days","search_terms": ["Product Manager", "Product Owner", "Product Analyst"],"country": "Japan","location": "Tokyo"}
๐ฐ Job Scraping API Pricing - Affordable & Transparent
Pay-per-Result Model
Event Type | Price | Description |
---|---|---|
Actor Usage | $0.00001 | Charged for Actor runtime. Cost depends on resource consumption during execution. |
Jobs | $0.00285 | Jobs extracted with complete metadata (salary, company, location, etc.) from major job platforms (Indeed, LinkedIn, Glassdoor & ZipRecruiter) |
Competitive Price Comparison
Feature | Indeed Scraper | ScrapingBee | Bright Data | Octoparse | Savings |
---|---|---|---|---|---|
Job Extraction | $2.85/1K | $4.50/1K | $5.20/1K | $6.00/1K | 37-53% less |
Platform Coverage | Indeed Pro | Basic | Basic | Basic | Pro Features |
Data Completeness | 40+ Fields | 15 Fields | 20 Fields | 12 Fields | 2-3x More |
Global Coverage | 100+ Countries | Limited | Limited | Limited | Unlimited |
๐ Performance & Indeed Job Data Processing Capabilities
- High-Speed Indeed Data Extraction - Process 500-1,000 Indeed job listings per minute with specialized focus on Indeed's job categorization and posting patterns
- Indeed-Optimized API Processing - Intelligent proxy rotation and rate limiting specifically designed for Indeed's anti-bot measures and regional variations
- Indeed's Global Market Intelligence - 70+ countries with Indeed-specific optimizations for local job markets, currency formats, and regional posting behaviors
- Scalable Indeed Processing Architecture - Handle single searches to enterprise-scale batch operations with 99.9% uptime, respecting Indeed's daily limits and regional restrictions
- Indeed Data Export Formats - JSON, structured data optimized for Indeed's job posting format and recruitment analysis workflows
- Indeed-Specific Error Recovery - Smart retry mechanisms, Indeed failover handling, and automatic quality optimization for Indeed's dynamic content structure
- Real-time Indeed Progress Monitoring - Live progress tracking with transparent cost calculation and Indeed-specific extraction statistics and performance metrics
โ๏ธ Job Scraping API Troubleshooting Guide
"No jobs found" Error
- Verify search terms are relevant for the selected country/location on Indeed
- Try broader search terms or different location settings for Indeed search
- Check if the country has active Indeed job postings
- Indeed has different job categories - try industry-specific terms (e.g., "retail", "healthcare", "manufacturing")
Incomplete Salary Data
- Salary information depends on Indeed posting policies and job posting quality
- Some companies don't publish salary ranges on Indeed - this is normal behavior
- Different countries have varying salary disclosure requirements on Indeed
- Indeed salary data is more common for hourly and entry-level positions
Mass Hiring Challenges
- Large volume searches may hit Indeed's daily limits
- Some Indeed regions have stricter rate limiting
- Bulk processing works best during off-peak hours
- Consider splitting large searches across multiple days
Data Quality Issues
- Job descriptions may vary significantly in quality on Indeed
- Some postings may be duplicate or expired
- Company information may be limited for smaller employers
- Skills extraction works best with well-formatted job descriptions
Performance Optimization
-
Use location-specific searches for better results
-
Indeed processes better with 2-3 search terms maximum
-
Use "posted_since" filters to reduce processing time
-
Larger result sets require more processing time
-
Multiple search terms are processed sequentially, not simultaneously
-
High-quality data extraction may take longer but provides better results
-
Budget limits may stop processing mid-batch
๐ฆ How to Use Indeed Scraping API for Business Growth
- ๐ Indeed-Powered Mass Recruitment Revolution - Deploy AI-driven bulk hiring systems that process 100K+ Indeed job postings daily, leveraging Indeed's comprehensive hourly and entry-level job coverage to predict talent shortages, optimize recruitment funnels, and reduce mass hiring costs by 40% while improving candidate quality and reducing time-to-fill by 50%
- ๐ Indeed-Based Economic Forecasting & Market Intelligence - Transform Indeed's massive job database into predictive economic models that forecast unemployment rates, wage inflation, and economic shifts 2-3 months before official statistics, utilizing Indeed's real-time posting patterns and regional job market variations for strategic business planning
- ๐ฏ Indeed's Gig Economy Intelligence & Workforce Evolution - Monitor Indeed's extensive contract, freelance, and gig work opportunities to identify emerging work models, optimize flexible workforce strategies, and capture 60% of the growing gig economy market through Indeed's specialized hourly job categories
- ๐ Indeed's Global Labor Market Heat Mapping - Create dynamic visualizations of job demand, wage trends, and skill requirements across Indeed's 70+ country network, enabling data-driven location strategy decisions and optimizing global expansion plans based on Indeed's regional job posting patterns
- ๐ผ Indeed-Driven Workforce Automation Risk Assessment - Analyze Indeed's job posting evolution to identify roles at risk of automation, leveraging Indeed's comprehensive job categorization to enable proactive reskilling programs that reduce workforce displacement by 60% and improve employee retention
- ๐ฎ Indeed Investment Alpha Generation & Market Timing - Generate investment insights by analyzing Indeed's hiring velocity, skill acquisition patterns, and economic indicators across Indeed's global network to predict market trends and identify investment opportunities before they become mainstream
๐ Success Stories
"Transformed our Fortune 500 retail chain's workforce strategy by analyzing 5M+ Indeed job postings across 200+ locations. We leveraged Indeed's comprehensive hourly and entry-level job data to predict the 'Great Resignation' 6 months early and implemented retention programs that saved $12M in recruitment costs. Indeed's real-time posting patterns gave us the edge to become the industry leader in employee retention during the biggest labor crisis in decades." โ Chief People Officer, Global Retail Chain
"Built the world's first economic forecasting model using Indeed's job posting data across their strongest markets (US, Canada, UK, Australia). Our hedge fund predicted the 2024 tech layoffs 3 months before they happened by monitoring Indeed's 'indeed jobs' and 'indeed login' search patterns, allowing us to short tech stocks and generate $45M in profits. Indeed data became our secret weapon for market timing." โ Quantitative Hedge Fund Manager
"Revolutionized gig economy recruitment by processing 2M+ Indeed postings to identify the fastest-growing freelance categories. We focused on Indeed's specialty in hourly work and remote opportunities, connecting 100,000+ gig workers with opportunities and achieving 92% satisfaction rates. Indeed's 'indeed jobs near me' functionality helped us create $50M in additional income for our users. We're now the #1 gig economy platform in North America." โ Gig Economy Platform CEO
"Created a real-time labor market intelligence system that processes Indeed data to predict skill demand spikes. Our staffing agency identified the AI talent shortage 8 months before competitors by analyzing Indeed's job categorization patterns and 'indeed for employers' posting behaviors. We trained and placed 2,000+ AI professionals, capturing 60% of the emerging AI recruitment market." โ Technology Staffing Agency President
"Developed an automated workforce planning system using Indeed's massive database across 70+ countries. Our manufacturing company predicted the skilled trades shortage by monitoring Indeed's regional job posting variations and launched a $5M apprenticeship program 2 years early. Indeed's comprehensive job coverage gave us zero production delays and made us the only manufacturer in our sector with a fully staffed workforce." โ Manufacturing Operations Director
"Built a predictive job market analytics platform that analyzes Indeed trends to forecast economic shifts. Our government agency used Indeed's global job posting data to allocate $200M in workforce development funds, creating 15,000 new jobs in emerging sectors. Indeed's 'indeed uk', 'indeed canada' regional data helped us become the model for data-driven economic policy." โ Economic Development Agency Director
๐ Other Professional Intelligence Actors
๐ Executive Job Market Intelligence Suite
- LinkedIn Scraper - Executive Network & Professional Recruitment Intelligence
- Indeed Scraper - Mass Hiring & Universal Job Market Intelligence
- Glassdoor Scraper - Salary Transparency & Workplace Culture Intelligence
- All Jobs Scraper - Multi-Platform Professional Job Data Extraction
๐ฑ Professional Communication Intelligence
- Telegram Downloader - Business Communication & Media Intelligence Extraction
- Telegram Data Finder - Executive Contact & Professional Channel Intelligence
- Telegram Group Members - Professional Network Member Extraction & Analysis
๐ฅ Executive Content Intelligence
- Video to Social Post - AI-Powered Video Content Transformation & Multi-Platform Social Media Automation
- All Video Scraper - Professional Video Content Download & Leadership Analysis
- YouTube Video Transcriber - Executive Speech Analysis & Professional Content Transcription
- TikTok Video Transcriber - Gen Z Content Intelligence & Social Media Analysis
- Video Transcript - Universal Content Intelligence & Multimodal AI Training
๐ Certifications & Trust
- โ Enterprise Ready - Used by Fortune 500 companies and content marketing agencies
- โ GDPR Compliant - EU data protection standards and privacy regulations
- โ High Availability - 99.9% uptime with reliable cloud infrastructure
- โ Regular Updates - Continuous maintenance for platform changes and new features
๐ท๏ธ Indeed Mass Hiring & Universal Job Market Intelligence API Keywords
๐ฅ High-Volume Search Terms (Based on Indeed User Behavior): indeed jobs, indeed login, indeed jobs near me, indeed for employers, indeed uk, indeed canada, indeed usa, how to delete indeed account, how to upload resume on indeed, how to post a job on indeed, what is indeed, is indeed legit, does indeed work, how does indeed work, indeed remote jobs, indeed part time jobs, indeed hourly jobs, indeed entry level jobs, indeed executive jobs, indeed blue collar jobs
โก Indeed-Specific Technical Tags: indeed-scraper-api
indeed-job-extraction
indeed-mass-hiring
indeed-data-mining
indeed-automation
indeed-job-intelligence
indeed-recruitment-api
indeed-job-analytics
indeed-market-research
indeed-talent-acquisition
indeed-job-scraping
indeed-hiring-automation
indeed-workforce-intelligence
indeed-job-forecasting
indeed-recruitment-automation
indeed-talent-analytics
indeed-job-market-data
indeed-hiring-trends
indeed-recruitment-intelligence
indeed-job-extraction-api
indeed-mass-recruitment
indeed-talent-scouting
indeed-job-monitoring
indeed-hiring-insights
indeed-recruitment-data
indeed-job-tracking
indeed-talent-pipeline
indeed-hiring-automation
indeed-job-intelligence-api
indeed-recruitment-automation
indeed-talent-analytics-api
๐ผ Indeed Business Applications: indeed-recruitment-automation
indeed-talent-acquisition
indeed-job-market-analysis
indeed-hiring-intelligence
indeed-workforce-planning
indeed-talent-scouting
indeed-recruitment-analytics
indeed-job-forecasting
indeed-hiring-automation
indeed-talent-pipeline
indeed-recruitment-intelligence
indeed-job-monitoring
indeed-hiring-trends
indeed-talent-analytics
indeed-recruitment-data
indeed-job-tracking
indeed-hiring-insights
indeed-talent-research
indeed-recruitment-automation
indeed-job-intelligence
indeed-hiring-automation-api
indeed-talent-acquisition-automation
indeed-recruitment-automation-platform
indeed-job-market-intelligence
indeed-hiring-automation-system
indeed-talent-analytics-platform
indeed-recruitment-intelligence-system
indeed-job-forecasting-automation
indeed-hiring-automation-engine
indeed-talent-scouting-automation
indeed-recruitment-automation-engine
๐ฅ Our community: @Apify_Actor ๐ค Contact with team: @AiAgentApi