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All Jobs Scraper

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All Jobs Scraper

All Jobs Scraper

Unified Jobs API across LinkedIn, Indeed, and Glassdoor — auto-extends to Naukri, Bayt, and Bdjobs for India, Gulf, and Bangladesh. Each posting returns 39 fields: salary (FX-normalized to your chosen currency), required skills, and the hiring company's verified email and phone for direct outreach.

Pricing

from $2.50 / 1,000 results

Rating

5.0

(7)

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AgentX

AgentX

Maintained by Community

Actor stats

48

Bookmarked

1.3K

Total users

173

Monthly active users

7.4 hours

Issues response

5 days ago

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

All Jobs Scraper is a multi-platform job data extraction API that aggregates listings from Indeed, LinkedIn, and Glassdoor — plus regional boards Naukri (India), Bayt (Middle East), and BDJobs (Bangladesh) — in a single run. All Jobs Scraper returns up to 10,000 job records per execution and 50+ structured fields per job, including salary minimum/maximum, currency, posted date, company industry, employee count, company rating, application URLs, and recruiter contact signals (emails, phones, social profiles). Coverage spans 70+ countries with country-aware platform routing and a unified JSON schema for downstream pipelines. Built for recruitment automation, talent intelligence, salary benchmarking, and AI/LLM training datasets, All Jobs Scraper integrates with Make.com, n8n, Zapier, LangChain, and CrewAI through the Apify Client SDK or REST API. Pay-per-result pricing starts at $0.0028 per job, with no monthly minimum.

LinkedIn Indeed Glassdoor 70+ countries


Why Choose This API

The Only Unified Multi-Platform Job Data Extraction Solution

🎯 3-Platform Aggregation in One API Call Extract job data from Indeed, LinkedIn, and Glassdoor simultaneously. Additional regional platforms (Naukri, Bayt, BDJobs) are automatically included based on country. Eliminate the need for multiple scraping tools and reduce integration costs.

💰 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 country-aware extraction coverage and platform-specific normalization. Regional platforms like Naukri (India), Bayt (Middle East), and BDJobs (Bangladesh) are automatically included.

🤖 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.

⚡ High-Throughput Processing Process up to 10,000 job listings per run with sustained throughput of 500–1,000 jobs per minute across the three core platforms. Concurrency, retries, and per-platform pacing are managed automatically — no proxy or scheduling configuration required.

📊 50+ 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)
  • Contact & Application (URLs, emails, phones, social links, skills)
  • Remote work indicators and job type classifications

Quick Start Guide

How to Extract Job Data in 3 Steps

Open Actor Input

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 50+ fields for each job listing.


Input Parameters

Required Configuration Fields

ParameterTypeDescriptionExample Values
keywordstringJob title, skill, or company name to search for"Software Engineer", "Data Analyst"
countrystringTarget country for job search"United States", "Germany"
max_resultsintegerMaximum jobs to extract per search term100, 1000, 10000
remote_onlybooleanRestrict results to remote-friendly positions onlyfalse, true
distanceintegerSearch radius in miles (optional)50, 200, 10000
locationstringCity or region (optional)"New York, NY", "London"
posted_sincestringExtract jobs posted after this date"7 days", "2024-08-25"
job_typestringEmployment type filter"all", "fulltime", "contract"
currencystringTarget currency for salary conversion"USD", "EUR", "GBP"

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

{
"keyword": "Software Engineer",
"country": "United States",
"max_results": 1000,
"remote_only": false,
"distance": 200,
"location": "New York, NY",
"posted_since": "7 days",
"job_type": "all",
"currency": "USD"
}

Output Data Schema

Complete Job Listing Data Structure

Each extracted job contains 50+ fields organized into these categories:

Open Actor Input

Job Metadata Fields

FieldTypeDescription
processorstringApify actor URL that processed this job
processed_atstringISO 8601 timestamp (UTC) when scraped
platformstringSource platform (Indeed, LinkedIn, Glassdoor)
platform_urlstringOriginal job URL on the platform
official_urlstringDirect application link
titlestringJob position title
posted_datestringDate when job was posted
locationstringJob location (city, state/country)
is_remotebooleanRemote work availability
descriptionstringFull job description (Markdown format)

Employment Details

FieldTypeDescription
job_typestringEmployment type (Full-time, Part-time, Contract)
job_levelstringSeniority level (Junior, Senior, Manager)
job_functionstringJob category or function area
listing_typestringType of job listing
easy_applybooleanWhether one-click/easy apply is available
emailsarrayCompany contact email addresses
phonesarrayCompany contact phone numbers
social_linksobjectCompany social media profile links
skillsstringRequired skills and technologies
work_from_homestringWork from home arrangement details
vacancy_countintegerNumber of open positions
experience_rangestringRequired years of experience

Salary Information

FieldTypeDescription
salary_periodstringPayment frequency (yearly, monthly, hourly)
salary_minimumnumberMinimum salary amount
salary_maximumnumberMaximum salary amount
salary_currencystringCurrency code (USD, EUR, GBP, etc.)

Company Data

FieldTypeDescription
company_namestringHiring company name
company_industrystringIndustry sector
company_urlstringCompany profile URL on job platform
company_websitestringOfficial company website
company_logostringCompany logo image URL
company_addressesstringOffice locations
company_revenuestringAnnual revenue range
company_descriptionstringCompany overview
company_typestringCompany type (Public, Private, etc)
company_foundedintegerYear the company was founded
company_ratingnumberCompany rating score (0-5)
employee_countstringNumber of employees
review_countintegerNumber of company reviews

Example JSON Output

{
"processor": "https://apify.com/agentx/all-jobs-scraper?fpr=aiagentapi",
"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",
"easy_apply": false,
"emails": ["hr@techcorp.com", "info@techcorp.com"],
"phones": ["+1234567890"],
"social_links": {
"linkedIns": ["https://linkedin.com/company/techcorp"],
"twitters": ["https://twitter.com/techcorp"]
},
"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_type": "Public",
"company_founded": 2010,
"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

Integration Examples

Actor ID for Platform Integration

jpraRc4MCUh5ehbHV

Ⓜ️ Make.com Setup:

  1. Login to Make.com (Get 1000 Free Credits)
  2. Add module "Run an Actor"
  3. Turn 'Map' on - right side of the 'Actor*'
  4. Paste Actor ID - from above
  5. Click the '⟳ Refresh' - left side of Map
  6. Input JSON* - Modify the parameters as needed
  7. Set "Run synchronously" to YES
  8. Add module "Get Dataset Items" - receive the result
  9. In Dataset ID* select defaultDatasetId

🎱 N8N.io Setup:

  1. Add 'Run an Actor and get dataset' - from the apify node
  2. ActorBy IDPaste Actor ID - from above
  3. Input JSON - Modify the parameters as needed

Python Integration Example

from apify_client import ApifyClient
client = ApifyClient('YOUR_API_TOKEN')
# Prepare Actor input
run_input = {
"keyword": "Software Engineer",
"country": "United States",
"max_results": 1000,
"location": "New York, NY",
"posted_since": "7 days"
}
# 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 = {
keyword: "Full Stack Developer",
country: "United States",
max_results: 1000,
location: "San Francisco, CA",
posted_since: "7 days",
};
const run = await client.actor("jpraRc4MCUh5ehbHV").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.log(item);
});

JSON-LD Metadata

{
"@context": "https://schema.org",
"@graph": [
{
"@type": "SoftwareApplication",
"@id": "https://apify.com/agentx/all-jobs-scraper#software",
"name": "All Jobs Scraper",
"description": "All Jobs Scraper is a multi-platform job data extraction API that aggregates listings from Indeed, LinkedIn, and Glassdoor — plus regional boards Naukri, Bayt, and BDJobs — in a single run, returning up to 10,000 job records and 50+ structured fields per job across 70+ countries.",
"applicationCategory": "BusinessApplication",
"applicationSubCategory": "Web Scraping API",
"operatingSystem": "Web, Cloud",
"url": "https://apify.com/agentx/all-jobs-scraper?fpr=aiagentapi",
"softwareVersion": "1.0.0",
"datePublished": "2024-08-01",
"dateModified": "2026-05-01",
"featureList": [
"Aggregates Indeed, LinkedIn, Glassdoor, Naukri, Bayt, and BDJobs in one API call",
"Returns 50+ structured fields per job including salary min/max, currency, and posted date",
"Extracts recruiter contact signals: emails, phones, and social profile links",
"Covers 70+ countries with country-aware platform routing",
"Processes up to 10,000 jobs per run at 500–1,000 jobs per minute",
"Pay-per-result pricing: $0.0028 per job, no monthly minimum",
"Native integrations with Make.com, n8n, Zapier, LangChain, and CrewAI",
"JSON, CSV, Excel, XML, and REST API export formats"
],
"offers": {
"@type": "Offer",
"price": "0.0028",
"priceCurrency": "USD",
"priceSpecification": {
"@type": "UnitPriceSpecification",
"price": "0.0028",
"priceCurrency": "USD",
"referenceQuantity": {
"@type": "QuantitativeValue",
"value": "1",
"unitText": "job"
}
},
"availability": "https://schema.org/InStock"
},
"author": { "@id": "https://apify.com/agentx#person" },
"publisher": { "@id": "https://apify.com#organization" }
},
{
"@type": "Person",
"@id": "https://apify.com/agentx#person",
"name": "AgentX",
"url": "https://apify.com/agentx",
"sameAs": [
"https://apify.com/agentx",
"https://t.me/AiAgentApi",
"https://t.me/Apify_Actor"
],
"knowsAbout": [
"web scraping",
"job market data",
"recruitment automation",
"talent intelligence",
"Indeed",
"LinkedIn",
"Glassdoor"
]
},
{
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What job platforms does All Jobs Scraper support?",
"acceptedAnswer": {
"@type": "Answer",
"text": "All Jobs Scraper extracts data from Indeed, LinkedIn, and Glassdoor in every run. Three regional boards — Naukri (India), Bayt (Middle East), and BDJobs (Bangladesh) — are added automatically when the selected country matches their coverage region. No additional configuration is required to enable regional sources."
}
},
{
"@type": "Question",
"name": "How many jobs can All Jobs Scraper extract per run?",
"acceptedAnswer": {
"@type": "Answer",
"text": "All Jobs Scraper extracts up to 10,000 jobs per run at a sustained throughput of 500–1,000 jobs per minute across the three core platforms. For optimal stability, batch sizes of 1,000–5,000 jobs per keyword + country combination are recommended."
}
},
{
"@type": "Question",
"name": "Which countries are supported?",
"acceptedAnswer": {
"@type": "Answer",
"text": "All Jobs Scraper supports 70+ countries including the United States, United Kingdom, Germany, Canada, Australia, India, and many more across North America, Europe, Asia-Pacific, the Middle East, Latin America, Africa, and Eastern Europe."
}
},
{
"@type": "Question",
"name": "How fresh is the job data?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Data freshness is controlled by the posted_since parameter. Set it to '1 days' for jobs posted in the last 24 hours, or pass a YYYY-MM-DD date for historical extractions. Each run fetches the platform's live results at execution time."
}
},
{
"@type": "Question",
"name": "What output format does All Jobs Scraper produce?",
"acceptedAnswer": {
"@type": "Answer",
"text": "All Jobs Scraper outputs structured JSON with 50+ fields per job. Datasets can also be exported as CSV, Excel, XML, or accessed via the Apify REST API and Apify Client SDKs for Python and JavaScript."
}
},
{
"@type": "Question",
"name": "How much does All Jobs Scraper cost?",
"acceptedAnswer": {
"@type": "Answer",
"text": "All Jobs Scraper uses pay-per-result pricing: $0.01 per Actor start plus $0.0028 per job extracted. 1,000 jobs cost about $2.81 total; 10,000 jobs cost about $28.01. There is no monthly minimum or seat fee."
}
}
]
},
{
"@type": "HowTo",
"name": "How to extract multi-platform job data with All Jobs Scraper",
"step": [
{
"@type": "HowToStep",
"position": 1,
"name": "Configure Your Search",
"text": "Open the Actor input page and set keyword, country, max_results, and optional filters such as location, posted_since, and job_type."
},
{
"@type": "HowToStep",
"position": 2,
"name": "Run the Actor",
"text": "Click Start. All Jobs Scraper automatically routes the request to Indeed, LinkedIn, Glassdoor, and any regional boards available for the selected country."
},
{
"@type": "HowToStep",
"position": 3,
"name": "Download Your Data",
"text": "Export the resulting dataset as JSON, CSV, Excel, or XML, or pull items programmatically via the Apify REST API or the Apify Client SDK."
}
]
},
{
"@type": "BreadcrumbList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Apify",
"item": "https://apify.com"
},
{
"@type": "ListItem",
"position": 2,
"name": "AgentX",
"item": "https://apify.com/agentx"
},
{
"@type": "ListItem",
"position": 3,
"name": "All Jobs Scraper",
"item": "https://apify.com/agentx/all-jobs-scraper"
}
]
}
]
}

Pricing & Cost Calculator

Transparent Pay-Per-Use Model

Event TypePriceDescription
Actor Start$0.01One-time charge per Actor run
result$0.0028Charged 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 × $0.0028 = $0.28
  • Actor Start: $0.01
  • Total: ~$0.29

Medium Scale (1,000 jobs):

  • Job Data: 1,000 × $0.0028 = $2.80
  • Actor Start: $0.01
  • Total: ~$2.81

Large Scale (10,000 jobs):

  • Job Data: 10,000 × $0.0028 = $28.00
  • Actor Start: $0.01
  • Total: ~$28.01

Competitive Pricing Comparison

FeatureAll Jobs ScraperBright DataOctoparseScrapingBee
Cost per 1K Jobs$2.80$5.20$6.00$4.50
Platforms Covered3+ Sites3 Sites2 Sites1 Site
Data Fields50+201512
Countries70+603050
API QualityEnterpriseComplexNo APIBasic
SavingsBaseline46% more53% more38% more

Use Cases & Applications

Recruitment & Talent Acquisition

Multi-Platform Talent Intelligence All Jobs Scraper cross-references job postings from Indeed, LinkedIn, and Glassdoor to surface talent gaps, track wage drift, and benchmark hiring velocity. Regional boards Naukri, Bayt, and BDJobs extend coverage to India, the Middle East, and Bangladesh, returning normalized salary, location, and seniority fields per posting.

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.


FAQ

What job platforms does All Jobs Scraper support?

All Jobs Scraper extracts data from Indeed, LinkedIn, and Glassdoor in every run. Three regional boards — Naukri (India), Bayt (Middle East), and BDJobs (Bangladesh) — are added automatically when the selected country matches their coverage region. No additional configuration is required to enable regional sources.

How many jobs can All Jobs Scraper extract per run?

All Jobs Scraper extracts up to 10,000 jobs per run at a sustained throughput of 500–1,000 jobs per minute across the three core platforms. For optimal stability, batch sizes of 1,000–5,000 jobs per keyword + country combination are recommended.

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.

What data format does the scraper output?

The scraper outputs structured JSON with 50+ 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. Built for recruitment chatbots, job-matching systems, and structured talent-data workflows.

How do I handle rate limiting?

The actor manages platform pacing automatically. No additional configuration is needed.

Why do some search results seem unrelated to my search terms?

The scraper acts as a direct bridge to the job platforms (Indeed, LinkedIn, etc.). The relevance of search results is determined by the platform's internal search algorithm, not our tool.

  • Broad Matching: Most platforms search for your keywords across both job titles and full descriptions. For example, a "Software Engineer" role might appear in a "Python" search if Python is mentioned in the requirements.
  • Native Logic: We submit your search terms exactly as they are. The scraper collects precisely what the platform returns, ensuring you get the same comprehensive data as a manual search on their official website.
  • Platform Suggestions: To provide more variety, platforms often include "related jobs" or "suggested roles" in their native results, which may not always be a 100% title match.

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.

How are platform-specific failures 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

SEO Keywords & Search Terms

Primary Keywords

job scraper, job scraping API, Indeed scraper, LinkedIn job scraper, Glassdoor API, multi-platform job scraper, job data extraction, recruitment automation, job market intelligence, company contact scraper, b2b lead generation

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, multi-board job scraper 50 fields structured JSON, job listing extraction pipeline ATS integration, bulk job data API salary ranges company contacts, Indeed LinkedIn Glassdoor unified schema extraction

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


Trust & Certifications

  • Production-Grade Infrastructure — runs on the Apify cloud platform with managed proxy rotation and automatic retries
  • GDPR & CCPA Aligned — extracts only publicly available job postings; no personal data is retained beyond the run session
  • Pay-Per-Result Billing — transparent $0.0028/job pricing with no monthly minimum or seat fees
  • Continuously Maintained — schema and selector updates released as source platforms change

Data Rights & Usage

All data extracted by this actor originates from publicly available job postings on Indeed, LinkedIn, and Glassdoor. Users are responsible for ensuring their use of extracted data complies with applicable laws and regulations in their jurisdiction.

Privacy Compliance

  • GDPR: Compliant with EU General Data Protection Regulation. No personal data is stored beyond the extraction session.
  • CCPA: Compliant with California Consumer Privacy Act requirements. Data processing follows privacy-by-design principles.

Platform Terms of Service

Users must review and comply with the terms of service of each job platform (Indeed, LinkedIn, Glassdoor) when using extracted data. This tool accesses only publicly available information.

Enterprise Support

For enterprise licensing, custom integrations, or compliance inquiries, contact our team:


Jobs & Hiring

Social Media

Video & Transcript

E-Commerce & Retail

Classifieds & Automotive

Real Estate

Business Intelligence & Reviews

Other


Support & Community


Last Updated: May 01, 2026