Best Job Search

Aggregate job listings from LinkedIn, Indeed, Glassdoor, ZipRecruiter, and regional platforms in one unified API call.

Stop juggling multiple job boards. Get comprehensive job market data with salary insights, company details, and full descriptions—all normalized into a consistent format ready for your ATS, analytics dashboard, or recruitment pipeline.

🤝 Support & Community

📧 Support: Contact Us 💬 Community: Telegram Group

🏆 Key Features

🌍 Multi-Platform Aggregation

• 🎯 5+ Job Platforms: Search LinkedIn, Indeed, Glassdoor, ZipRecruiter, Naukri (India), and Bayt (Middle East) simultaneously.
• 🔄 Unified Schema: All job data normalized into a consistent format—no manual data cleaning or field mapping required.
• 🌐 Smart Region Detection: Automatically selects the best platforms based on your target country (60+ countries supported).
• ⚡ Parallel Processing: Scrape multiple platforms concurrently for maximum speed and efficiency.

📊 Comprehensive Job Data

• 💼 Complete Job Details: Extract job titles, descriptions, requirements, employment types, seniority levels, and remote work options.
• 💰 Salary Intelligence: Get salary ranges, currency, and payment periods (hourly/monthly/yearly) when available.
• 🏢 Company Enrichment: Includes company name, industry, size, revenue, ratings, reviews, logo, and official website.
• 📍 Location Data: Precise job location, remote work status, and work-from-home arrangement details.

🎯 Advanced Filtering

• 📅 Date Filtering: Filter jobs by posting date (e.g., "7 days", "1 month", or specific dates like "2024-08-25").
• 🔍 Keyword Search: Search by job titles, skills, or company names across all platforms.
• 📌 Location Targeting: Specify country and optional city/region for precise geographic targeting.
• 📈 Result Control: Set maximum results per platform to control data volume and costs.

💰 Pricing

Resource	Cost	Description
Actor Usage	$0.00001	Charged for Actor runtime, proxy and storage. Cost depends on resource consumption during execution
Job Details	$0.00296	Charged for each job posting scraped. Includes complete metadata such as salary, company, and location

Example Cost Calculation:

• Searching 3 keywords × 4 platforms × 100 jobs each = 1,200 jobs max
• Cost: 1,200 × $0.00296 = $3.55 + minimal runtime fees

🌟 Why choose this Actor?

Built for comprehensive job market intelligence, this Actor aggregates multiple job platforms into one unified data stream.

Feature	Best Job Search	Bright Data	ScraperAPI	Zyte
Pricing Model	✅ $0.003/job	❌ $500+/month	❌ $49+/month	❌ Enterprise only
Platforms	✅ 5+ in one API	✅ Multiple	⚠️ Limited	⚠️ Limited
No Commitment	✅ Pay-per-result	❌ Monthly contract	❌ Monthly contract	❌ Annual contract
Regional Platforms	✅ Naukri, Bayt, etc	⚠️ Major only	❌ No	❌ No
Unified Schema	✅ Normalized output	✅ Yes	⚠️ Varies	✅ Yes
Setup Complexity	✅ No-code, 1-click	⚠️ Technical setup	⚠️ API integration	❌ Complex setup

💻 Input Parameters

Parameter	Type	Required	Description
search_terms	string[]	✅ Yes	Keywords to search: job titles, skills, or company names
country	string	✅ Yes	Target country for job search (60+ countries supported)
location	string	❌ No	City or region within the country (optional)
posted_since	string	✅ Yes	Filter jobs posted within this period (e.g., "7 days", "1 months", "2024-08-25")
max_results	integer	✅ Yes	Number of jobs to fetch per platform per keyword (minimum: 10)

📝 Example Input

{
  "search_terms": ["Software Engineer", "Data Analyst"],
  "country": "United States",
  "location": "New York",
  "posted_since": "1 months",
  "max_results": 100
}

📤 Output Structure

Field	Type	Description
processor	string	URL of the Apify actor that processed this data
processed_at	string	ISO 8601 timestamp when the data was processed
status	string	Status of the job listing
platform	string	Source platform (LinkedIn, Indeed, Glassdoor, etc.)
platform_url	string	Job URL on the platform
official_url	string	Direct link to company's job posting
title	string	Job position title
posted_date	string	ISO 8601 timestamp when job was posted
location	string	Job location or city
is_remote	boolean	Whether the job allows remote work
description	string	Full job description in markdown format
job_type	string	Employment type (full-time, part-time, contract)
job_level	string	Seniority level (entry, mid, senior, executive)
job_function	string	Job category or function area
listing_type	string	Type of job listing (standard, featured, sponsored)
emails	string	Contact emails found in job posting
skills	string	Required skills and technologies
work_from_home	string	Work arrangement (remote, hybrid, on-site)
vacancy_count	integer	Number of open positions
experience_range	string	Required years of experience
salary_period	string	Payment period (yearly, monthly, hourly)
salary_minimum	number	Minimum salary amount
salary_maximum	number	Maximum salary amount
salary_currency	string	Currency code (USD, EUR, GBP, 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
company_logo	string	URL to company logo image
company_addresses	string	Company office locations
company_revenue	string	Annual revenue range
company_description	string	About the company
company_rating	number	Company rating score (out of 5)
employee_count	string	Number of employees
review_count	integer	Number of company reviews

📤 Example Output

{
  "processor": "https://apify.com/cheapget/best-job-search?fpr=aiagentapi",
  "processed_at": "2025-11-20T14:30:00+00:00",
  "platform": "LinkedIn",
  "platform_url": "https://www.linkedin.com/jobs/view/3958472615",
  "official_url": "https://company.com/careers/senior-python-developer",
  "title": "Senior Python Developer",
  "posted_date": "2025-11-18T00:00:00+00:00",
  "location": "San Francisco, CA",
  "is_remote": true,
  "description": "We are looking for a Senior Python Developer to join our team...\n\n## Requirements\n- 5+ years of Python experience\n- Strong knowledge of Django/FastAPI\n- Experience with cloud platforms (AWS/GCP)",
  "job_type": "full-time",
  "job_level": "senior",
  "job_function": "Engineering",
  "listing_type": "standard",
  "emails": "careers@company.com",
  "skills": "Python, Django, FastAPI, AWS, PostgreSQL",
  "work_from_home": "hybrid",
  "vacancy_count": 2,
  "experience_range": "5-8 years",
  "salary_period": "yearly",
  "salary_minimum": 150000,
  "salary_maximum": 200000,
  "salary_currency": "USD",
  "company_name": "TechCorp Inc.",
  "company_industry": "Technology",
  "company_url": "https://www.linkedin.com/company/techcorp",
  "company_website": "https://www.techcorp.com",
  "company_logo": "https://media.licdn.com/company/techcorp/logo.png",
  "company_addresses": "123 Market Street, San Francisco, CA 94105",
  "company_revenue": "$50M - $100M",
  "company_description": "TechCorp is a leading software company specializing in AI solutions...",
  "company_rating": 4.2,
  "employee_count": "500-1000",
  "review_count": 245
}

🔌 Integrations

Seamlessly connect this actor to your existing pipelines via the Apify API.

Ⓜ️ Make.com Integration

Get Started with Make.com (1000 Free Credits) 🎁

┌────────────────────────────────────────────┐
│  Step 1: Configure Actor Module            │
│  ├─ Add Module: "Run an Actor"             │
│  ├─ Enable Map: Toggle ON                  │
│  ├─ Actor ID: 8QfidRKcSVYICkwrq            │
│  ├─ Refresh: Click Refresh button          │
│  └─ Input JSON: Add job search parameters  │
└────────────────────────────────────────────┘
         ↓
┌────────────────────────────────────────────┐
│  Step 2: Set Execution Mode                │
│  └─ Run synchronously: YES                 │
└────────────────────────────────────────────┘
         ↓
┌────────────────────────────────────────────┐
│  Step 3: Retrieve Results                  │
│  ├─ Add Module: "Get Dataset Items"        │
│  └─ Dataset ID: defaultDatasetId           │
└────────────────────────────────────────────┘

🎱 N8N.io Integration

Open Source Workflow Automation ⚡

┌────────────────────────────────────────────┐
│  Step 1: Add Apify Node                    │
│  ├─ Search: "Run an Actor and get dataset" │
│  └─ Category: Apify                        │
└────────────────────────────────────────────┘
         ↓
┌────────────────────────────────────────────┐
│  Step 2: Configure Actor                   │
│  ├─ Selection Mode: By ID                  │
│  ├─ Actor ID: 8QfidRKcSVYICkwrq            │
│  └─ Paste from Actor ID section above      │
└────────────────────────────────────────────┘
         ↓
┌────────────────────────────────────────────┐
│  Step 3: Set Input Parameters              │
│  └─ Modify Input JSON with search criteria │
└────────────────────────────────────────────┘

📚 API Documentation

• MCP API - Model Context Protocol integration
• Python API - Complete Python client documentation with examples
• JavaScript API - Node.js and browser integration guide

🏗️ Metadata for Developers (JSON-LD)

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "Best Job Search - Multi-Platform Job Aggregator",
  "alternateName": [
    "Job Search API",
    "Multi-Platform Job Scraper",
    "Job Aggregator Tool",
    "Job Market Intelligence"
  ],
  "applicationCategory": "DeveloperApplication",
  "applicationSubCategory": "Job Market Data Extraction",
  "operatingSystem": "Cloud",
  "offers": {
    "@type": "Offer",
    "price": "0.00",
    "priceCurrency": "USD",
    "priceValidUntil": "2099-12-31",
    "availability": "https://schema.org/InStock"
  },
  "description": "Aggregate job listings from LinkedIn, Indeed, Glassdoor, ZipRecruiter, and regional platforms in one unified API call. Get comprehensive job market data with salary insights, company details, and full descriptions—all normalized into a consistent format.",
  "featureList": [
    "Multi-platform job aggregation from 5+ sources",
    "Unified normalized data schema",
    "Smart region detection for 60+ countries",
    "Comprehensive salary intelligence",
    "Company enrichment data",
    "Advanced date and location filtering",
    "Parallel processing for maximum speed",
    "Export to JSON, CSV, Excel formats",
    "API integration ready for automation"
  ],
  "keywords": "job search api, job scraper, linkedin jobs scraper, indeed scraper, glassdoor api, job aggregator, job board scraper, recruitment data api, job listing extractor, salary data scraper, job market intelligence, hiring trends api, job posting scraper, multi-platform job search, job data aggregation, employment data api, job search automation, bulk job scraper, job feed api, career data extraction, job monitoring tool, recruitment automation, talent acquisition data, job board api, ziprecruiter scraper",
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.9",
    "ratingCount": "500",
    "bestRating": "5"
  },
  "author": {
    "@type": "Organization",
    "name": "cheapget",
    "url": "https://apify.com/cheapget"
  },
  "softwareVersion": "0.1",
  "datePublished": "2024-01-01",
  "dateModified": "2025-12-30"
}

🚀 Performance Tips

Optimize your extraction runs for speed, cost, and data quality with these best practices:

💰 Cost Optimization

• Test First: Start with max_results: 10 and a single search term before scaling up.
• Monitor Costs: Check the "Usage" tab in Apify Console for real-time cost tracking. Each job costs $0.00296.
• Narrow Search: Use specific job titles instead of broad keywords to reduce irrelevant results.

⚡ Speed Optimization

• Fewer Keywords: Each search term multiplies by platforms. 3 keywords × 4 platforms = 12 parallel searches.
• Regional Focus: Specify a location to reduce results and speed up processing.
• Recent Posts: Use shorter posted_since periods (e.g., "7 days") for faster results.

🛡️ Data Quality Tips

• Valid Country: Ensure the country name matches exactly (e.g., "United States", not "USA").
• Salary Data: Not all jobs include salary info. Filter by salary_minimum field to get jobs with disclosed salaries.
• Fresh Data: Job postings change rapidly. Schedule daily runs for time-sensitive applications.
• Remote Jobs: Filter by is_remote: true or check work_from_home field for remote opportunities.

📊 Best Practices

• Rate Limits: The Actor handles rate limiting automatically with retries.
• Partial Results: If a platform fails, results from other platforms are still saved.
• Monitor Progress: Use Apify Console's live log to track scraping progress across platforms.

❓ FAQ

Which job platforms are supported?

We support LinkedIn, Indeed, Glassdoor, ZipRecruiter (US/Canada), Naukri (India), and Bayt (Middle East). Platform selection is automatic based on your chosen country.

How many jobs can I extract?

There's no hard limit, but we recommend starting with 10-50 jobs per platform for testing. Large extractions (100+) may take longer but are fully supported.

Why are some salary fields empty?

Not all job postings include salary information. Approximately 30-40% of jobs disclose salary ranges. Use the salary_minimum field to filter jobs with disclosed compensation.

How long does a typical scrape take?

Runtime depends on the number of search terms, platforms, and max_results setting. A typical run with 2-3 keywords and 100 results per platform completes in 2-5 minutes.

Why do some job titles not match my search keywords?

This is expected behavior. Each platform (LinkedIn, Indeed, Glassdoor, etc.) uses its own search algorithm that considers job relevance, not just exact keyword matching. Platforms may return jobs based on:

• Related job titles and synonyms (e.g., "Developer" may return "Engineer" roles)
• Skills mentioned in job descriptions
• Industry and category associations
• Location-based relevance

This is the same behavior you would see when searching directly on these platforms.

How to export job listings to Excel?

After the run completes, go to the Output tab in the Apify Console. Click the Export button and select Excel format. You will receive a neatly formatted spreadsheet with all job listings ready for analysis.

How do I search for remote jobs only?

Currently, the actor fetches all matching jobs. Filter the results by checking the is_remote field (boolean) or work_from_home field for remote/hybrid opportunities.

What output formats are available?

The Actor outputs data in JSON format by default. You can export results to CSV or Excel formats using Apify's dataset export features.

How accurate is the data?

All data is extracted directly from job platforms, ensuring high accuracy. Job details reflect real-time values at the moment of extraction.

🏷️ Best Job Search

🔥 Search Terms: job search api, job scraper, linkedin jobs scraper, indeed scraper, glassdoor api, job aggregator, job board scraper, recruitment data api, job listing extractor, salary data scraper, job market intelligence, hiring trends api, job posting scraper, multi-platform job search, job data aggregation, employment data api, job search automation, bulk job scraper, job feed api, career data extraction, job monitoring tool, recruitment automation, talent acquisition data, job board api, ziprecruiter scraper

💼 Use Case: job-aggregation recruitment-automation salary-benchmarking labor-market-research talent-acquisition hr-tech job-board-development career-services competitive-hiring-intelligence workforce-analytics job-alert-systems ats-integration recruitment-marketing skills-gap-analysis employment-trends compensation-research job-market-monitoring

⚖️ Legal & Compliance

This actor extracts publicly available data only. It does not bypass authentication, access private content, or violate platform terms of service. You are responsible for:

• Data Rights: Ensuring you have permission to collect and use the extracted data
• Privacy Compliance: Adhering to GDPR, CCPA, and other applicable privacy laws when processing data
• Platform Terms: Respecting the platform's terms of service and usage policies
• Ethical Use: Using extracted data responsibly and in compliance with applicable laws

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