Indeed Salary Analyzer

Extract aggregate salary data from Indeed.com for compensation benchmarking, market research, and HR analytics. This Apify actor scrapes salary ranges, averages, and sample sizes, providing structured data for professionals and researchers. It requires residential proxies to function on the Apify platform.

Overview

The actor collects compensation data from Indeed's public salary pages. It's designed for HR teams, recruiters, compensation analysts, and job seekers who need reliable market rate information. The tool also supports academic research and labor advocacy by providing data to analyze wage gaps and compensation trends.

Important Requirement: You must enable "Use Residential Proxies" in the input settings for the actor to work on Apify. See Apify proxy pricing for details.

Key Features

• Salary Data: Extracts minimum, maximum, and average salaries from Indeed's aggregated reports.
• Metadata: Includes sample sizes (e.g., number of reports) and a calculated confidence score (0-100) for each data point.
• Normalization: Converts salaries to equivalent hourly rates for consistent comparison.
• Change Tracking: Identifies NEW, UPDATED, and UNCHANGED records between runs for monitoring trends.
• Filtering: Allows filtering results by minimum sample size and confidence score to ensure data quality.
• Reliability: Uses residential proxies and stealth techniques to bypass Indeed's anti-bot protections.

How to Use

1. Configure Input: Set your search parameters (job title, location, etc.) in the actor's input. Crucially, enable the "Use Residential Proxies" option.
2. Run the Actor: Start the actor on the Apify platform. It will navigate Indeed, scrape the specified salary data, and bypass blocks.
3. Get Output: Retrieve the structured dataset from the actor's run. The data is available in JSON, CSV, and other formats via the Apify dataset.

Input/Output

Input Configuration

Configure the actor using an input object. Key parameters include:

{
  "searchQueries": ["Software Engineer", "Data Scientist"],
  "location": "San Francisco, CA",
  "useResidentialProxies": true, // Required
  "minSampleSize": 50,
  "minConfidence": 70
}

• searchQueries: (Required) Array of job titles or keywords to search.
• location: (Required) Geographic location for the salary search.
• useResidentialProxies: (Required) Must be set to true.
• minSampleSize: Filter out results with fewer than this many salary reports.
• minConfidence: Filter out results with a confidence score below this value.

Output Data

The actor outputs items containing structured salary data. A typical output item looks like:

{
  "jobTitle": "Software Engineer",
  "location": "San Francisco, CA",
  "salaryAverage": 135000,
  "salaryMin": 98000,
  "salaryMax": 175000,
  "sampleSize": 318,
  "confidence": 85,
  "payPeriod": "YEARLY",
  "hourlyEquivalent": 64.90,
  "scrapedAt": "2023-11-15T10:30:00.000Z",
  "changeStatus": "NEW"
}

The dataset is available in the run's Dataset tab and can be downloaded directly or accessed via the Apify API.