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Linkedin Salary Scraper

Pricing

Pay per usage

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Linkedin Salary Scraper

Linkedin Salary Scraper

Pricing

Pay per usage

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0.0

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Developer

Donny Nguyen

Donny Nguyen

Maintained by Community

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2

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1

Monthly active users

4 hours ago

Last modified

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Scrape LinkedIn Salary Insights for compensation data. Extract median salaries, salary ranges, bonuses, locations, experience levels, industries, and company sizes for comprehensive compensation benchmarking and analysis.

Overview

This actor scrapes LinkedIn Salary pages to extract compensation insights across job titles and locations. It processes salary breakdown pages to capture detailed compensation data including base pay, bonuses, and demographic breakdowns for data-driven salary benchmarking.

Features

  • Search salary insights by job title and location
  • Extract median base salary and total compensation
  • Capture salary ranges (low to high)
  • Identify bonus compensation data
  • Breakdown by experience level and industry
  • Filter by company size categories
  • Parse JSON-LD structured salary data when available
  • Works with empty input using sensible defaults

Input Configuration

FieldTypeDescriptionDefault
jobTitlesArrayJob titles to search salary insights for["product manager", "frontend developer"]
locationsArrayLocations to search salary data["Dallas-Fort Worth"]
maxResultsIntegerMaximum salary results to scrape50

The actor searches each combination of job title and location for comprehensive salary coverage across markets.

Output Data

Each salary entry includes the following fields:

  • jobTitle - Job title for the salary data
  • medianSalary - Median base salary
  • salaryRange - Salary range (min - max)
  • bonus - Bonus compensation if available
  • location - Geographic location
  • experienceLevel - Experience level breakdown
  • industry - Industry sector
  • companySize - Company size category
  • searchJobTitle - Original search job title
  • searchLocation - Original search location
  • url - LinkedIn salary page URL
  • scrapedAt - Timestamp of data extraction

Use Cases

This scraper is ideal for compensation benchmarking, salary negotiation preparation, HR market analysis, talent acquisition budgeting, and geographic compensation comparison. HR teams, recruiters, and job candidates use this data to make data-driven compensation decisions.

API Integration

You can call this actor via the Apify API to integrate LinkedIn salary data into your HR analytics platforms, compensation management tools, or recruitment dashboards. Results are available in JSON, CSV, XML, and other formats.

Cost Estimation

With pay-per-event pricing at $1.50 per 1,000 results, scraping 50 salary entries costs approximately $0.075. Note that LinkedIn salary pages may require authentication for full data access, so results may vary.