Glassdoor Salary Scraper

Extract job market and hiring intelligence data with Glassdoor Salary Scraper for recruiting and compensation analysis.

Features

• Collect job listing and company hiring signals
• Extract role, compensation, and location fields where available
• Support keyword and URL-based sourcing inputs
• Return normalized records for recruiting analytics
• Batch-friendly extraction for multi-market hiring research
• Output is optimized for Glassdoor Salary Scraper buyer workflows on Apify

Common Use Cases

• Compensation research
• Hiring trend analysis
• Recruiting intelligence
• Talent market mapping
• Role benchmarking
• Internal reporting

Example Input

{
  "query": "software engineer remote",
  "queries": [
    "software engineer remote",
    "data scientist"
  ],
  "urls": [
    "https://www.example.org"
  ],
  "maxResults": 25,
  "includeRaw": false,
  "maxCostPerRun": 5
}

Example Output

{
  "query": "software engineer remote",
  "url": "https://www.example.org",
  "actorSlug": "record value",
  "source": "record value",
  "title": "record value",
  "description": "record value",
  "scrapedAt": "record value"
}

Input Parameters

Field	Type	Required	Description
query	string	No	Primary keyword, URL, profile, company, product, or identifier to collect
queries	array	No	Optional batch list of query strings. Used when query is empty or when batching is…
urls	array	No	Optional direct URLs to process. These take priority over discovery when provided
maxResults	integer	No	Maximum number of dataset items to emit
includeRaw	boolean	No	Include collection diagnostics and raw source metadata where available
maxCostPerRun	number	No	Optional guardrail in USD. The actor caps output before exceeding this amount
proxyConfiguration	object	No	Apify proxy settings for production runs

Output Fields

Field	Type	Description
query	string	Normalized query value
url	string	Normalized url value
actorSlug	string	Normalized actorSlug value
source	string	Normalized source value
title	string	Normalized title value
description	string	Normalized description value
scrapedAt	string	Normalized scrapedAt value
runId	string	Normalized runId value
rank	string	Normalized rank value
rating	string	Normalized rating value
reviewText	string	Normalized reviewText value
reviewer	string	Normalized reviewer value

Export Formats

• JSON
• CSV
• Excel
• XML

Pricing

Pricing Model: PAY_PER_EVENT

$3.00 per 1,000 dataset items.

FAQ

Does this actor support batch processing?

Yes.

Can I export results to CSV?

Yes.

Can I schedule runs?

Yes, through Apify schedules.

Can I run this actor via API?

Yes, via the Apify API.

Does it support direct URLs?

Yes.

Can I integrate this actor with n8n or Make?

Yes.