Indeed Job Data Scraper

Unlock Indeed's massive job database with ease.

Indeed is the world's #1 job search engine, aggregating millions of job listings from thousands of company websites, job boards, and staffing agencies. This scraper extracts job listings with detailed descriptions, salary data, company information, and location details at scale. Perfect for job aggregators, recruitment platforms, and workforce analytics.

🌟 Why choose this Actor?

Built for comprehensive Indeed job intelligence, this Actor provides reliable access to the world's largest job aggregator.

Feature	Indeed Job Data Scraper	Bright Data	Zyte
Pricing Model	✅ $0.003/job	❌ $500+/month	❌ Enterprise only
No Commitment	✅ Pay-per-result	❌ Monthly contract	❌ Annual contract
Unified Schema	✅ Normalized output	✅ Yes	✅ Yes
Setup Complexity	✅ No-code, 1-click	⚠️ Technical setup	❌ Complex setup
Indeed Focus	✅ Specialized	⚠️ Generic	⚠️ Generic

🏆 Key Features

📊 Indeed-Specific Data Extraction

• 🔍 Massive Job Coverage: Access Indeed's aggregated listings from thousands of sources—the largest job database globally.
• 💵 Salary Information: Extract salary ranges when available, with currency and pay period details.
• 📝 Full Job Descriptions: Complete requirements, responsibilities, and qualifications in markdown format.
• 🏢 Company Details: Company name, industry, website, and additional metadata.
• 🌍 60+ Countries: Indeed's global presence from US and UK to Germany, India, Australia, and beyond.

🎯 Use Cases

🔎 Job Aggregation

• Job Board Development: Build your own job portal by aggregating Indeed listings with structured data.
• Career Platform Integration: Power your career services platform with real-time job data.
• Job Alert Systems: Create automated job alert services for specific keywords and locations.
• Recruitment Automation: Feed structured job data into your ATS or recruitment tools.

📈 Job Market Analytics

• Skills Demand Tracking: Analyze job descriptions to identify trending skills and emerging roles.
• Geographic Hotspots: Map hiring activity by location to spot talent hubs and remote-friendly employers.
• Industry Reports: Generate data-backed whitepapers on hiring trends and job market movements.
• Salary Analysis: Compare compensation across roles, industries, and locations.

🏢 Competitive Intelligence

• Competitor Hiring Radar: Track which roles competitors post and at what frequency.
• Talent Market Mapping: Identify which companies are scaling (high job volume) vs. downsizing.
• Industry Benchmarking: Compare hiring patterns across industry peers.

🤖 AI & Automation Pipelines

• Job Matching Engines: Feed structured data into ML models for candidate-job relevance scoring.
• Career Chatbots: Power conversational AI with real-time job data from Indeed.
• Resume Optimization: Analyze job requirements to help candidates tailor their applications.

💰 Pricing

Resource	Cost	Description
Actor Usage	$0.00001	Charged for Actor runtime. Cost depends on resource consumption during execution.
Job Details	$0.00345	Charged for each job posting scraped. Includes complete metadata such as salary, company, and location. This is a flat fee per job.

Example Cost Calculation:

• Scraping "Frontend Developer" + "UX Designer" in Austin, TX
• 2 keywords × 150 jobs = 300 results → 300 × $0.00345 = $1.04 total

🧜 How it Works

💻 Input Parameters

{
  "search_terms": ["Registered Nurse", "Medical Assistant"],
  "country": "United States",
  "location": "Chicago",
  "posted_since": "1 year",
  "max_results": 200
}

Parameter	Type	Required	Description	Example
search_terms	string[]	✅	Keywords to search: job titles, skills, or company names	["Server", "Line Cook"]
country	string	✅	Target country for job search (60+ countries supported)	United States
location	string	❌	City or region within the country (optional)	Los Angeles
posted_since	string	✅	Filter jobs posted within this period ("7 days", "1 months")	1 months
max_results	integer	✅	Number of jobs to fetch per keyword (min: 10)	500

📤 Output Structure

{
  "processor": "https://apify.com/nextapi/indeed-job-data-scraper",
  "processed_at": "2025-11-26T14:30:00+00:00",
  "platform": "Indeed",
  "platform_url": "https://www.indeed.com/viewjob?jk=f8e2a1b3c4d5e6f7",
  "official_url": "https://amazon.jobs/warehouse-associate-dallas",
  "title": "Warehouse Associate",
  "posted_date": "2025-11-22T00:00:00+00:00",
  "location": "Dallas, TX",
  "is_remote": false,
  "description": "Join Amazon's fulfillment team and be part of our mission to deliver smiles!\n\n## Responsibilities\n- Receive and process incoming inventory\n- Pick, pack, and ship customer orders\n- Maintain clean and safe work environment\n- Meet productivity and quality standards",
  "job_type": "full-time",
  "job_level": "entry",
  "job_function": "Warehouse & Logistics",
  "listing_type": "sponsored",
  "emails": null,
  "skills": "Inventory Management, Forklift, Physical Stamina, Attention to Detail",
  "work_from_home": "on-site",
  "vacancy_count": 25,
  "experience_range": "0-1 years",
  "salary_period": "hourly",
  "salary_minimum": 18,
  "salary_maximum": 22,
  "salary_currency": "USD",
  "company_name": "Amazon",
  "company_industry": "E-commerce & Retail",
  "company_url": "https://www.indeed.com/cmp/Amazon.com",
  "company_website": "https://amazon.com",
  "company_logo": "https://d2q79iu7y748jz.cloudfront.net/s/_squarelogo/amazon-logo.png",
  "company_addresses": "1234 Logistics Blvd, Dallas, TX 75201",
  "company_revenue": "$500B+",
  "company_description": "Amazon is guided by four principles: customer obsession, passion for invention, commitment to operational excellence, and long-term thinking.",
  "company_rating": 3.5,
  "employee_count": "1000000+",
  "review_count": 125000
}

📊 Output Fields Description

Job Information

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
platform	string	Source platform (Indeed)
platform_url	string	Job URL on Indeed
official_url	string	Direct link to company's 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 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 Information

Field	Type	Description
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 Information

Field	Type	Description
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

🔌 Integrations

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

🆔 Actor ID:

dJWj757pVx5untEuq

Python Client

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("nextapi/indeed-job-data-scraper").call(run_input={
    "max_results": 50,
    "posted_since": "7 days",
    "country": "United States",
    "location": "Houston",
    "search_terms": ["Retail Associate", "Store Manager"]
})

for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{job['title']} at {job['company_name']} - ${job.get('salary_minimum', 'N/A')}/hr")

Node.js Client

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_API_TOKEN" });
const run = await client.actor("nextapi/indeed-job-data-scraper").call({
  max_results: 80,
  posted_since: "14 days",
  country: "United States",
  location: "Atlanta",
  search_terms: ["Customer Service Rep", "Administrative Assistant"],
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((job) => console.log(`${job.title} at ${job.company_name}`));

🦜 LangChain

Use this actor as a document loader in LangChain to power your RAG pipelines with job market data for career advice chatbots.

🏗️ Metadata for Developers (JSON-LD)

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "Indeed Job Data Scraper",
  "applicationCategory": "DeveloperApplication",
  "operatingSystem": "Cloud",
  "offers": {
    "@type": "Offer",
    "price": "0.00",
    "priceCurrency": "USD"
  },
  "description": "Indeed Job Scraper API - Extract millions of job listings from Indeed.com. Get job titles, salaries, company info, descriptions & requirements. Supports 60+ countries with real-time data. No-code job board scraper for recruiters, HR analytics & job aggregators."
}

🚀 Performance Tips

Optimize your runs for speed, cost, and reliability with these best practices:

💰 Cost Optimization

• Start Small: Test 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 $0.00345.
• Narrow Search: Use specific job titles instead of broad keywords to reduce irrelevant results.

⚡ Speed Optimization

• Fewer Keywords: Each search term creates a separate search. Use focused keywords for faster results.
• 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.

🛡️ Reliability Best Practices

• Valid Country: Ensure the country name matches exactly (e.g., "United States", not "USA").
• Monitor Progress: Use Apify Console's live log to track scraping progress.

📊 Data Quality Tips

• 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.

❓ FAQ

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.

Why are some salary fields empty?

Not all job postings include salary information. Indeed aggregates jobs from many sources, and salary disclosure varies by employer. 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 and max_results setting. A typical run with 2-3 keywords and 100 results completes in 1-3 minutes.

Why do some job titles not match my search keywords?

This is expected behavior. Indeed uses its own search algorithm that considers job relevance, not just exact keyword matching. The platform 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 Indeed.

⚖️ Legal & Compliance

This actor scrapes publicly available job postings only. It does not log in, access private data, or collect personal information of job seekers. You are responsible for adhering to each platform's Terms of Service and applicable privacy laws (GDPR/CCPA).

🏷️ Indeed Job Data Scraper

🔥 Search Terms: indeed scraper, indeed jobs api, indeed job listings, indeed salary data, job search api, indeed data extraction, job listings scraper, indeed job search, employment data api, job posting scraper, indeed automation, job market data, hiring data scraper, indeed job aggregator, recruitment data api, job board scraper, indeed job parser, workforce analytics, talent acquisition data, indeed job feed

💼 Use Cases: job-aggregation recruitment-automation job-market-research competitive-intelligence career-platform job-alert-system hr-analytics talent-acquisition workforce-planning job-matching salary-research hiring-trend-analysis job-board-development employment-data

🤝 Support & Community

• 📧 Support: Contact Us | 💬 Community: Telegram Group

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