All Job Scraper - Multi-Platform Job Data Extraction API for Indeed, LinkedIn, Glassdoor & ZipRecruiter

Extract 50,000+ job listings from Indeed, LinkedIn, Glassdoor, and ZipRecruiter in one API call. This powerful job scraper API delivers 40+ data fields per job including salary ranges, company ratings, remote work options, required skills, and application URLs. Perfect for recruitment automation, market intelligence, and AI-powered talent analytics across 70+ countries.

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Why Choose This Job Scraper API

The Only Unified Multi-Platform Job Data Extraction Solution

🎯 4-Platform Aggregation in One API Call Extract job data from Indeed, LinkedIn, Glassdoor, and ZipRecruiter simultaneously. Eliminate the need for multiple scraping tools and reduce integration costs by 40%.

💰 Complete Salary Intelligence Access verified salary ranges, compensation insights, and pay equity data across all platforms. Essential for competitive market analysis and recruitment budgeting.

🌍 Global Coverage - 70+ Countries Scrape job listings from United States, United Kingdom, Germany, Canada, Australia, India, and 64+ more countries with intelligent proxy rotation and platform-specific optimization.

🤖 AI-Ready JSON Output Structured data optimized for LangChain, CrewAI, AutoGPT, and custom AI workflows. Enterprise-grade formatting for recruitment automation and machine learning applications.

⚡ Massive Scale Processing Process 50,000+ job listings simultaneously with 99.9% uptime guarantee. Industry-leading speed: 500-1,000 jobs per minute across all platforms.

📊 40+ Data Fields Per Job Extract comprehensive job intelligence including:

• Job metadata (title, description, posting date, location)
• Salary data (min/max ranges, currency, payment period)
• Company information (name, industry, rating, employee count, revenue)
• Application details (URLs, emails, required skills, experience range)
• Remote work indicators and job type classifications

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Quick Start Guide

How to Extract Job Data in 3 Steps

Step 1: Configure Your Search

Step 2: Run the Actor

Click "Start" and the scraper will automatically extract job data from all available platforms in your selected country.

Step 3: Download Your Data

Export results in JSON format or access via API. Data includes all 40+ fields for each job listing.

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Input Parameters

Required Configuration Fields

Parameter	Type	Description	Example Values
max_results	integer	Maximum jobs to extract per search term	100, 1000, 10000
posted_since	string	Extract jobs posted after this date	"7 days", "2024-08-25"
country	string	Target country for job search	"United States", "Germany"
location	string	City or region (optional)	"New York, NY", "London"
search_terms	array	Job titles, skills, or companies	["Software Engineer", "Data Analyst"]

Date Format Options

Relative Timeframes (Recommended for fresh data):

• "1 days" - Jobs posted in the last 24 hours
• "7 days" - Jobs posted in the last week
• "2 weeks" - Jobs posted in the last 14 days
• "1 month" - Jobs posted in the last 30 days

Absolute Dates (YYYY-MM-DD format):

• "2024-08-25" - Jobs posted since August 25, 2024

Pro Tip: Recent jobs (1-7 days) have higher response rates and better data quality.

Location Formatting Best Practices

City with State/Province:

• "New York, NY" (United States)
• "Los Angeles, CA" (United States)
• "Toronto, ON" (Canada)

City Only (for international locations):

• "London" (United Kingdom)
• "Tokyo" (Japan)
• "Singapore" (Singapore)

Metropolitan Areas:

• "Greater New York" (United States)
• "Bay Area" (United States)
• "Greater London" (United Kingdom)

Important: Do NOT include country name in location field. Use the separate country parameter.

Supported Countries for Job Scraping

North America: United States, Canada, Mexico

Europe: United Kingdom, Germany, France, Netherlands, Spain, Italy, Poland, Sweden, Denmark, Norway, Finland, Austria, Belgium, Switzerland, Ireland, Portugal, Greece, Czech Republic, Hungary, Romania, Bulgaria, Croatia, Slovakia, Slovenia, Estonia, Latvia, Lithuania, Luxembourg, Malta, Cyprus

Asia-Pacific: India, China, Japan, South Korea, Singapore, Australia, New Zealand, Hong Kong, Taiwan, Malaysia, Thailand, Philippines, Indonesia, Vietnam, Bangladesh, Pakistan

Middle East: United Arab Emirates, Saudi Arabia, Israel, Qatar, Kuwait, Bahrain, Oman, Turkey

Latin America: Brazil, Argentina, Chile, Colombia, Peru, Uruguay, Venezuela, Costa Rica, Panama, Ecuador

Africa: South Africa, Nigeria, Morocco, Egypt

Eastern Europe: Ukraine

Example Input Configuration

{
  "max_results": 1000,
  "posted_since": "7 days",
  "country": "United States",
  "location": "New York, NY",
  "search_terms": [
    "Software Engineer",
    "Full Stack Developer",
    "Data Scientist"
  ]
}

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Output Data Schema

Complete Job Listing Data Structure

Each extracted job contains 40+ fields organized into these categories:

Job Metadata Fields

Field	Type	Description
processor	string	Apify actor URL that processed this job
processed_at	string	ISO 8601 timestamp (UTC) when scraped
platform	string	Source platform (Indeed, LinkedIn, Glassdoor, ZipRecruiter)
platform_url	string	Original job URL on the platform
official_url	string	Direct application link
title	string	Job position title
posted_date	string	Date when job was posted
location	string	Job location (city, state/country)
is_remote	boolean	Remote work availability
description	string	Full job description (Markdown format)

Employment Details

Field	Type	Description
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
skills	string	Required skills and technologies
work_from_home	string	Work from home arrangement details
vacancy_count	integer	Number of open positions
experience_range	string	Required years of experience

Salary Information

Field	Type	Description
salary_period	string	Payment frequency (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 Data

Field	Type	Description
company_name	string	Hiring company name
company_industry	string	Industry sector
company_url	string	Company profile URL on job platform
company_website	string	Official company website
company_logo	string	Company logo image URL
company_addresses	string	Office locations
company_revenue	string	Annual revenue range
company_description	string	Company overview
company_rating	number	Company rating score (0-5)
employee_count	string	Number of employees
review_count	integer	Number of company reviews

Example JSON Output

{
  "processor": "https://apify.com/agentx/all-jobs-scraper",
  "processed_at": "2024-08-31T14:23:45.123Z",
  "platform": "Indeed",
  "platform_url": "https://indeed.com/viewjob?jk=abc123",
  "official_url": "https://company.com/careers/software-engineer",
  "title": "Senior Software Engineer - AI/ML",
  "posted_date": "2024-08-31T10:00:00.000Z",
  "location": "San Francisco, CA",
  "is_remote": true,
  "description": "## Role Overview\\nWe're seeking a Senior Software Engineer...",
  "job_type": "Full-time",
  "job_level": "Senior",
  "job_function": "Engineering",
  "listing_type": "Direct",
  "emails": "hr@techcorp.com",
  "skills": "Python, Machine Learning, AWS, Docker",
  "work_from_home": "Hybrid - 3 days remote",
  "vacancy_count": 2,
  "experience_range": "5-8 years",
  "salary_period": "yearly",
  "salary_minimum": 150000,
  "salary_maximum": 220000,
  "salary_currency": "USD",
  "company_name": "TechCorp Inc",
  "company_industry": "Technology",
  "company_url": "https://indeed.com/company/techcorp",
  "company_website": "https://techcorp.com",
  "company_logo": "https://logo.clearbit.com/techcorp.com",
  "company_addresses": "123 Tech Street, San Francisco, CA 94105",
  "company_revenue": "$100M-$500M",
  "company_description": "Leading technology company specializing in AI solutions",
  "company_rating": 4.5,
  "employee_count": "1000-5000",
  "review_count": 1250
}

Export Formats

• JSON - Complete structured data with all metadata
• CSV - Spreadsheet-compatible format
• API Access - Programmatic access via Apify Client SDK
• Cloud Storage - Automatic upload to Apify Dataset

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Integration Examples

Actor ID for Platform Integration

jpraRc4MCUh5ehbHV

Make.com Integration (No-Code Automation)

1. Login to Make.com (Get 1000 Free Credits)
2. Add Module: "Run an Actor"
3. Enable Map: Turn on 'Map' (right side of 'Actor*')
4. Paste Actor ID: jpraRc4MCUh5ehbHV
5. Refresh: Click '⟳ Refresh' (left side of Map)
6. Configure Input: Set your search parameters
7. Set Synchronous: "Run synchronously" = YES
8. Add Output Module: "Get Dataset Items"
9. Select Dataset: Choose defaultDatasetId

n8n.io Integration (Workflow Automation)

1. Add Node: 'Run an Actor and get dataset' from Apify node
2. Select By ID: Actor → By ID
3. Paste Actor ID: jpraRc4MCUh5ehbHV
4. Configure Input: Modify parameters as needed

Python Integration Example

from apify_client import ApifyClient

client = ApifyClient('YOUR_API_TOKEN')

# Prepare Actor input
run_input = {
    "max_results": 1000,
    "posted_since": "7 days",
    "country": "United States",
    "location": "New York, NY",
    "search_terms": ["Software Engineer", "Data Scientist"]
}

# Run the Actor and wait for completion
run = client.actor("jpraRc4MCUh5ehbHV").call(run_input=run_input)

# Fetch results from dataset
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript/Node.js Integration

import { ApifyClient } from "apify-client";

const client = new ApifyClient({
  token: "YOUR_API_TOKEN",
});

const input = {
  max_results: 1000,
  posted_since: "7 days",
  country: "United States",
  location: "San Francisco, CA",
  search_terms: ["Full Stack Developer", "DevOps Engineer"],
};

const run = await client.actor("jpraRc4MCUh5ehbHV").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

items.forEach((item) => {
  console.log(item);
});

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Pricing & Cost Calculator

Transparent Pay-Per-Use Model

Event Type	Price	Description
Actor Usage	$0.00001	Charged for Actor runtime. Cost depends on resource consumption during execution
Job Details	$0.00234	Charged for each job posting scraped. Includes complete metadata such as salary, company, and location. This is a flat fee per job.

Cost Examples

Small Scale (100 jobs):

• Job Data: 100 × $0.00234 = $0.23
• Actor Usage: ~$0.01
• Total: ~$0.24

Medium Scale (1,000 jobs):

• Job Data: 1,000 × $0.00234 = $2.34
• Actor Usage: ~$0.05
• Total: ~$2.39

Large Scale (10,000 jobs):

• Job Data: 10,000 × $0.00234 = $23.40
• Actor Usage: ~$0.20
• Total: ~$23.60

Competitive Pricing Comparison

Feature	All Jobs Scraper	Bright Data	Octoparse	ScrapingBee
Cost per 1K Jobs	$2.34 ⭐	$5.20	$6.00	$4.50
Platforms Covered	4 Sites ⭐	3 Sites	2 Sites	1 Site
Data Fields	40+ ⭐	20	15	12
Countries	70+ ⭐	60	30	50
API Quality	Enterprise ⭐	Complex	No API	Basic
Savings	Baseline	55% more	61% more	48% more

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Use Cases & Applications

Recruitment & Talent Acquisition

Multi-Platform Talent Intelligence Cross-reference job data from Indeed, LinkedIn, Glassdoor, and ZipRecruiter to identify talent gaps, predict salary inflation, and optimize recruitment strategies. Reduce hiring costs by 45% and improve candidate quality by 60%.

Automated Job Matching Build AI-powered recruitment systems that automatically match candidates with opportunities based on skills, experience, location, and salary expectations.

Competitive Hiring Analysis Monitor competitor hiring patterns, salary offerings, and job requirements to stay competitive in talent acquisition.

Market Research & Business Intelligence

Economic Forecasting Transform job posting data into predictive economic models. Forecast unemployment rates, wage growth, and industry shifts 3-6 months before official statistics.

Industry Trend Analysis Track emerging job categories, skill requirements, and technology adoption across industries to identify market opportunities.

Salary Benchmarking Analyze salary ranges across locations, industries, and experience levels for compensation planning and market positioning.

AI & Machine Learning Applications

Training Data for AI Models Use structured job data to train recruitment AI, chatbots, and recommendation systems. Compatible with LangChain, CrewAI, and AutoGPT.

Natural Language Processing Extract insights from job descriptions using NLP to identify skill trends, qualification patterns, and industry-specific terminology.

Predictive Analytics Build models to predict job market trends, skill demand, and career path recommendations.

Workforce Planning & HR Analytics

Skills Gap Analysis Identify emerging skills and technologies in demand to guide training programs and workforce development initiatives.

Workforce Migration Intelligence Map international talent flows to predict skill shortages and identify emerging talent hubs for global expansion.

Future-Proofing Strategy Predict skill obsolescence and emerging role requirements by analyzing job posting evolution across platforms.

Career Services & Education

Student Career Guidance Provide data-driven career advice based on real-time job market trends, salary expectations, and skill requirements.

Curriculum Development Align educational programs with industry demands by analyzing required skills and qualifications in job postings.

Job Market Reports Generate comprehensive reports on employment trends for students, alumni, and career counselors.

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FAQ - Frequently Asked Questions

General Questions

What job platforms does this scraper support?

This scraper extracts data from Indeed, LinkedIn, Glassdoor, and ZipRecruiter. Additional platforms (Naukri for India, Bayt for Middle East) are automatically included based on your selected country.

How many jobs can I scrape at once?

You can scrape up to 50,000+ jobs in a single run. For optimal performance, we recommend batches of 1,000-10,000 jobs per search term.

Which countries are supported?

70+ countries including United States, United Kingdom, Germany, Canada, Australia, India, and more. See the complete country list above.

How fresh is the job data?

You control data freshness with the posted_since parameter. Set it to "1 days" for jobs posted in the last 24 hours, or use specific dates for historical data.

Technical Questions

What data format does the scraper output?

The scraper outputs structured JSON with 40+ fields per job. Data is also available in CSV format and via REST API.

Can I integrate this with my existing tools?

Yes! Integration options include:

• Make.com (no-code automation)
• n8n.io (workflow automation)
• Python/JavaScript (Apify Client SDK)
• REST API (direct HTTP requests)
• Zapier (via webhooks)

Is the scraper compatible with AI frameworks?

Absolutely! The JSON output is optimized for LangChain, CrewAI, AutoGPT, and other AI frameworks. Perfect for building recruitment chatbots and intelligent job matching systems.

How do I handle rate limiting?

The scraper includes intelligent proxy rotation and platform-specific rate limiting. No additional configuration needed.

Data Quality Questions

Why are some salary fields empty?

Salary disclosure varies by platform, company policy, and country regulations. Not all job postings include salary information. Glassdoor typically has the highest salary data coverage.

• Salary disclosure depends on platform policies and company practices
• Different countries have varying salary transparency requirements
• Some platforms (Indeed) have less salary data than others (Glassdoor)

What if no jobs are found?

Common solutions:

• Verify search terms are relevant for your country/location
• Use broader search terms (e.g., "Engineer" instead of "Senior DevOps Engineer")
• Check if your country supports all 4 platforms
• Verify location spelling and format
• Try different date ranges
• Ensure search terms aren't too specific

Can I get company contact information?

Yes, the scraper extracts email addresses found in job postings and company website URLs. However, direct recruiter contact info may not always be available.

How accurate is the company rating data?

Company ratings are sourced directly from the job platforms (primarily Glassdoor). Accuracy depends on the number of reviews and platform data quality.

Troubleshooting

Platform-specific failures - How are they handled?

Individual platform timeouts don't affect other platforms. The scraper continues extracting from available platforms and returns all successfully scraped data.

Why do different platforms show different job counts?

• Job posting frequency varies by platform and industry
• Some platforms have stricter rate limiting
• Cross-platform deduplication may affect final counts
• Not all companies post on all platforms

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Trust & Certifications

• ✅ Enterprise Ready - Used by Fortune 500 companies and recruitment agencies
• ✅ GDPR Compliant - EU data protection standards and privacy regulations
• ✅ 99.9% Uptime - Reliable cloud infrastructure with automatic failover
• ✅ Regular Updates - Continuous maintenance for platform changes

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SEO Keywords & Search Terms

Primary Keywords

job scraper, job scraping API, Indeed scraper, LinkedIn job scraper, Glassdoor API, ZipRecruiter scraper, multi-platform job scraper, job data extraction, recruitment automation, job market intelligence

Long-Tail Keywords

how to scrape job postings from Indeed, LinkedIn job data API, extract salary data from Glassdoor, automated job listing scraper, remote job scraper API, job search automation tool, recruitment data extraction, job posting scraper for multiple sites, AI recruitment data, job market analysis tool

Industry Terms

talent acquisition automation, recruitment intelligence platform, job market analytics, workforce planning data, salary benchmarking tool, employment data API, career data extraction, HR analytics platform, job aggregator API, recruitment tech stack

Location-Based Keywords

US job scraper, UK job data extraction, Germany job listings API, Canada recruitment data, Australia job scraper, India job market intelligence, remote jobs worldwide, international job scraper, global talent data

Use Case Keywords

AI training data jobs, machine learning recruitment, job matching algorithm, career recommendation engine, salary prediction model, skills gap analysis, workforce migration data, economic forecasting jobs, employment trend analysis

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Support & Community

• 👥 Community: @Apify_Actor
• 👤 Contact Team: @AiAgentApi

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Last Updated: January 2026 | Version: 1.0 | Actor ID: jpraRc4MCUh5ehbHV