Indeed Job Listing Scraper

Scrape job listings from Indeed at scale. Search by keyword, location, and filter for remote positions. Get structured job data including salary ranges, company names, descriptions, and posting dates for recruitment, market research, and job market analysis.

Why use this scraper?

• Recruitment automation: Build candidate sourcing pipelines by tracking job market demand
• Salary benchmarking: Collect salary data across roles, locations, and industries
• Job market analysis: Track hiring trends, in-demand skills, and emerging roles
• Competitive hiring intelligence: Monitor what your competitors are hiring for
• Career research: Analyze job requirements and qualifications at scale

Features

• Keyword search: Search any job title, skill, company, or keyword
• Location filtering: Target specific cities, states, or zip codes
• Remote filter: Return only remote/work-from-home positions
• Salary extraction: Capture salary ranges when listed by employers
• Anti-detection: Built-in browser stealth to avoid blocks
• Proxy support: Works with Apify proxy or your own residential proxies

What data you get

Field	Type	Description
job_id	string	Unique job identifier
source	string	indeed
title	string	Job title
company	string	Company name
location	string	Job location (city, state, zip)
salary	string	Salary range (e.g., "$120,000 - $160,000 a year")
job_type	string	Full-time, Part-time, Contract, etc.
description	string	Job description snippet
requirements	array	Listed requirements and qualifications
posted_date	string	When the job was posted (e.g., "3 days ago")
url	string	Direct job listing URL
is_remote	boolean	Whether the position is remote

Input example

{
    "searchQueries": ["data engineer", "python developer", "devops engineer"],
    "location": "San Francisco, CA",
    "remoteOnly": false,
    "maxResultsPerQuery": 50
}

Output example

{
    "job_id": "indeed_a1b2c3d4e5",
    "source": "indeed",
    "title": "Senior Data Engineer",
    "company": "Stripe",
    "location": "San Francisco, CA 94103",
    "salary": "$180,000 - $250,000 a year",
    "job_type": "Full-time",
    "description": "We're looking for an experienced Data Engineer to design, build, and maintain data pipelines that power Stripe's analytics and machine learning platforms...",
    "requirements": ["Python", "SQL", "Apache Spark", "AWS/GCP", "Data modeling"],
    "posted_date": "2 days ago",
    "url": "https://www.indeed.com/viewjob?jk=a1b2c3d4e5",
    "is_remote": false
}

Use cases

Salary benchmarking reports

Search for a role across multiple cities. Compare salary ranges by location to build compensation benchmarks for HR teams.

Job market trend analysis

Run weekly scrapes for trending tech skills (AI/ML, Rust, Kubernetes). Track how demand shifts over time for recruiting agencies and workforce planning.

Competitive hiring intelligence

Monitor job postings from specific companies. Identify when competitors are ramping up hiring in a new area or technology.

Lead generation for recruiters

Build lists of companies actively hiring. Cross-reference with LinkedIn and CRM data for recruiter outreach.

Tips for best results

• Combine keywords: "python developer" finds more results than just "python"
• Use remoteOnly: true to filter for remote-only positions
• Multi-city runs: Search across multiple locations in one run for broader coverage
• Schedule daily runs to catch new listings before they expire
• Use Apify proxy for best reliability on large runs

Pricing

$3.00 per 1,000 results (pay-per-result). Platform fees included.

Integrations

Export results to Google Sheets, Airtable, Slack, Zapier, Make, or webhooks using Apify's built-in integrations. Download as JSON, CSV, or Excel.