Glassdoor Jobs Scraper - Job Listings & Employer Intelligence API

Glassdoor Jobs Scraper is a job listings API that extracts structured Glassdoor job listings, salary fields, employer-brand signals, and skill metadata across supported Glassdoor country sites in a single keyword-driven run. Glassdoor Jobs Scraper returns normalized records with job title, description, skills, job level, salary fields, company fields, rating signals, review count, location, and Glassdoor profile URL when available. Coverage spans 8 supported Glassdoor markets including US, UK, India, Australia, Germany, Singapore, and Brazil with localized currency normalization. Built for talent intelligence, compensation benchmarking, HR analytics, employer-brand monitoring, competitive hiring research, and workforce data pipelines. Up to 10,000 job records per run, with Tiered Pay-Per-Event Pricing and no monthly minimum.

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Why Choose This API

Deep Glassdoor Job Data Across Supported Markets

💰 Salary Range Extraction Extract salary_minimum and salary_maximum values alongside salary currency and period (yearly/monthly/hourly) per job listing. Normalize salary data across markets for global compensation benchmarking.

⭐ Employer Brand & Rating Signals Capture company ratings, employee review counts, company revenue, employee count, and founding year per listing for employer-brand scoring and competitive workforce analytics.

📋 Full Job Description & Skills Data Retrieve job descriptions, required skills strings, job level, job function, and experience range per listing for role complexity analysis and skill demand tracking.

🏢 Company Intelligence Per Listing Records may include company name, industry, type, website, logo URL, address, and Glassdoor company profile URL when Glassdoor exposes those fields.

🌍 Supported Country Coverage Target 8 supported Glassdoor job markets from the US and UK to India, Australia, Germany, Singapore, and Brazil. Salary fields are normalized to the configured currency when source salary data is available.

📦 Scalable Extraction with Flexible Filters Configure keyword, country, remote filter, location, posting date, job type, and currency. Scale from 1 to 10,000 job records per run.

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Quick Start Guide

How to Extract Glassdoor Job Data in 3 Steps

Step 1: Define Your Search Parameters

Enter a job keyword (title, skill, or company name), select a country, and optionally configure location, remote filter, date posted, and job type.

Step 2: Configure and Run the Actor

Open Actor Input

Set the parameters, then click Start.

Step 3: Download Your Data

Export results as JSON or CSV, or access programmatically via the Apify dataset API. Records include normalized job, salary, company, skills, and employer metadata fields when available.

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Input Parameters

Configuration Fields

Parameter	Type	Required	Description	Example Values
keyword	string	✅	Job title, skill, or company name	"UX Designer", "Python Developer", "Google"
country	select	✅	Target country for job listings	"United States", "United Kingdom", "India"
max_results	integer	✅	Maximum job records to extract (1–10,000)	10, 100, 500
remote_only	boolean	❌	Restrict to remote positions only	true, false
location	string	❌	Target city or location within the country	"New York", "London"
posted_since	datepicker	❌	Filter by posting date (absolute or relative)	"2026-04-01", "-7d"
job_type	select	❌	Filter by employment type	"fulltime", "contract", "parttime"
currency	select	❌	Currency for salary normalization	"USD", "EUR", "GBP"

Example Input Configuration

{
  "keyword": "Data Scientist",
  "country": "United States",
  "max_results": 100,
  "remote_only": false,
  "currency": "USD"
}

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Output Data Schema

Structured Job Record Fields

Each extracted Glassdoor job record contains the following fields:

Open Actor Output

Core Job Fields

Field	Type	Description
processor	string	Apify actor URL that processed this record
processed_at	string	ISO 8601 timestamp (UTC) when scraped
platform	string	Platform label (Glassdoor)
platform_url	string	Job listing URL on Glassdoor
official_url	string	Direct URL to original job posting
title	string	Job position title
posted_date	string	Date the job was posted
location	string	Job location
is_remote	boolean	Whether remote work is allowed
description	string	Full job description text
job_type	string	Employment type (Full-time, Contract, etc.)
job_level	string	Seniority level
job_function	string	Job category/department
skills	string	Required skills and technologies
experience_range	string	Required years of experience

Compensation Fields

Field	Type	Description
salary_minimum	number	Minimum salary offered
salary_maximum	number	Maximum salary offered
salary_currency	string	ISO currency code
salary_period	string	Pay frequency (yearly/monthly/hourly)

Company Intelligence Fields

Field	Type	Description
company_name	string	Employer name
company_type	string	Ownership type (Public/Private/Nonprofit)
company_founded	integer	Year founded
company_industry	string	Industry/sector
company_url	string	Glassdoor company profile URL
company_website	string	Company official website
company_logo	string	Company logo URL
company_addresses	string	Office address
company_revenue	string	Estimated annual revenue range
company_description	string	Company about text
company_rating	number	Glassdoor company rating
employee_count	string	Employee count range
review_count	integer	Number of employee reviews

Example JSON Output

{
  "processor": "https://apify.com/agentx/glassdoor-jobs-scraper",
  "processed_at": "2026-05-01T10:30:00.000Z",
  "platform": "Glassdoor",
  "platform_url": "https://www.glassdoor.com/job-listing/example-12345",
  "title": "Senior Data Scientist",
  "posted_date": "2026-04-28",
  "location": "San Francisco, CA",
  "is_remote": true,
  "job_type": "Full-time",
  "job_level": "Senior",
  "job_function": "Data Science",
  "skills": "Python, SQL, Machine Learning, TensorFlow",
  "experience_range": "5+ years",
  "salary_minimum": 140000,
  "salary_maximum": 180000,
  "salary_currency": "USD",
  "salary_period": "yearly",
  "company_name": "Example Corp",
  "company_type": "Company - Public",
  "company_founded": 2012,
  "company_industry": "Technology",
  "company_rating": 4.1,
  "employee_count": "1000-5000",
  "review_count": 892
}

Export Formats

• JSON - Structured data with available metadata
• CSV - Spreadsheet-compatible for HR analysis
• API Access - Programmatic access via Apify Client SDK
• Cloud Storage - Automatic upload to Apify Dataset

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Run and Export

Run Glassdoor Jobs Scraper from the Apify console with your selected keyword, country, and optional filters. After the run finishes, open the default dataset to preview, filter, download, or connect the structured job results to your workflow.

---## Pricing & Cost Calculator

Tiered Pay-Per-Event Pricing

Event	Description	Price (BRONZE)
Actor Start	Charged on each run start (per GB memory, min 1 event)	$0.01
Tiered result pricing	$0.00320 FREE / $0.00288 GOLD+	Charged per result pushed to the default dataset.

Cost Estimation Examples

Records	Estimated Cost
Tiered result pricing	$0.00320 FREE / $0.00288 GOLD+
500 results	~$1.61
1,000 results	~$3.21
5,000 results	~$16.01
10,000 results	~$32.01

Prices shown at BRONZE tier. Silver/Gold/Platinum/Diamond tiers offer lower per-result rates. Actor Start cost ($0.01) is separate from per-result pricing.

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Use Cases & Applications

Compensation Benchmarking

Global Salary Intelligence Extract salary ranges across roles, seniority levels, and geographies to build compensation benchmark datasets. Use salary_minimum, salary_maximum, salary_currency, and salary_period fields for normalized cross-market salary analysis.

Role-Level Pay Distribution Analysis Aggregate salary data by job_level, job_function, and company_industry to build structured compensation benchmarks for HR, recruiting, and workforce planning platforms.

Remote vs. On-Site Compensation Gaps Segment records by is_remote to analyze pay differentials between remote and on-site roles across the same job titles and geographies.

Talent & HR Intelligence

Competitor Hiring Pattern Analysis Target specific company names as keywords to monitor competitor hiring velocity, role types, and skill requirements. Combine with LinkedIn Jobs Scraper for multi-platform competitor talent intelligence.

Skill Demand Tracking Extract skills fields at scale across job functions and geographies to track technology and role-specific skill demand trends for L&D planning and market analysis.

Employer Brand Intelligence Combine company_rating, review_count, company_type, and employee_count per employer to build employer brand scoring models for talent attraction and retention research.

AI & Data Applications

NLP Job Description Corpus Build labeled job description datasets from Glassdoor for NLP model training, skill extraction, and job taxonomy development pipelines.

Workforce Demand ML Models Train predictive workforce demand models using job titles, locations, salary ranges, and posting dates extracted from Glassdoor at scale.

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FAQ

How many countries does this actor support?

8 supported country markets including the United States, United Kingdom, India, Australia, Germany, Singapore, Brazil, and other configured markets.

Does the actor extract salary data?

Yes. When Glassdoor provides salary information, the actor extracts salary_minimum, salary_maximum, salary_currency, and salary_period per listing.

Can I filter for remote jobs only?

Yes. Set remote_only: true to restrict results to remote-friendly positions.

How many job records can I extract per run?

Between 1 and 10,000 job records per run, configurable via max_results.

What company data is included per job listing?

Records may include company name, industry, type, founded year, rating, review count, employee count, revenue range, description, logo URL, website, and Glassdoor profile URL when Glassdoor exposes those values.

What data format does the actor output?

Structured JSON with all fields per job record. Data is also available in CSV format and via REST API.

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SEO Keywords & Search Terms

Primary Keywords

Glassdoor job scraper API, Glassdoor job intelligence, salary range extraction API, Glassdoor employer data, job listing data pipeline, Glassdoor company intelligence, compensation benchmarking API, Glassdoor structured data, HR analytics data extraction, Glassdoor recruitment analytics

Long-Tail Keywords

how to extract Glassdoor salary data, Glassdoor job listing dataset builder, employer brand intelligence API, Glassdoor company rating extraction, bulk Glassdoor job data extraction, remote job salary benchmarking API, Glassdoor skill demand analysis, competitor hiring pattern monitoring, Glassdoor review count data API, global compensation benchmark dataset

Industry Terms

compensation benchmarking API, talent intelligence extraction, employer brand scoring, workforce demand analytics, salary distribution modeling, HR data pipeline, skills demand tracking, job market intelligence, employer review signals, workforce composition analysis

Use Case Keywords

Glassdoor salary tracker, job market benchmark dataset, employer brand analysis, competitor hiring monitor, global workforce intelligence, job NLP corpus builder, remote salary comparison, HR tech data pipeline, talent acquisition intelligence, Glassdoor competitor analysis

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Trust & Certifications

• ✅ Production-Grade Infrastructure — runs on the Apify cloud platform with managed cloud execution and resilient processing
• ✅ GDPR & CCPA Aligned — extracts only publicly available Glassdoor job listings; no personal candidate data retained beyond the run session
• Tiered Pay-Per-Event Billing — Tiered pay-per-event pricing: $0.01 per Actor start plus result pricing from $0.00320 on FREE to $0.00288 on GOLD, PLATINUM, and DIAMOND plans.
• ✅ Continuously Maintained — schema and selector updates released as Glassdoor evolves

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Legal & Compliance

Data Rights & Usage

All data extracted by this actor originates from publicly available Glassdoor job listings. Users are responsible for ensuring their use of extracted data complies with applicable laws, Glassdoor's terms of service, and relevant regulations.

Privacy Compliance

• GDPR: Compliant with EU General Data Protection Regulation. No personal data is stored beyond the extraction session.
• CCPA: Compliant with California Consumer Privacy Act requirements.

Platform Terms of Service

Users must review and comply with Glassdoor's terms of service when using extracted data. This tool accesses only publicly available job listing information.

Enterprise Support

For enterprise licensing, custom integrations, or compliance inquiries:

• Telegram: @AiAgentApi

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Related Tools

• All Jobs Scraper - Multi-platform job listings dataset
• Indeed Jobs Scraper - Indeed job listings across supported markets
• LinkedIn Jobs Scraper - LinkedIn job listings and company metadata
• ZipRecruiter Jobs Scraper - US and Canada ZipRecruiter job listings

Support & Community

• 👥 Community: @Apify_Actor
• 👤 Contact Team: @AiAgentApi

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Last Updated: May 01, 2026