
With precise, automatic, and scalable web scraping solutions, Glassdoor Job Scraper by Scraping Intelligence assists companies in extracting job postings, salary details, and employee evaluations.
Glassdoor is one of the world’s leading job and career platforms, providing millions of job seekers with company reviews, salaries, and career insights. However, businesses, researchers, and recruiters often need structured data from Glassdoor to analyze trends, monitor competitors, or enrich their hiring databases. Scraping Intelligence provided Glassdoor Glassdoor Job Listing Scraper, is an automated tool that extracts job posting data from Glassdoor.com. The is a fast and powerful tool designed to effortlessly scrape job listings from Glassdoor. With automation, users can save time and avoid manual copy-pasting of job data.
Using a Glassdoor job scraper, you can extract valuable information such as company ID, size, employee count, industries, office locations, organization type, year founded, followers, funding details, and even investors. This structured dataset helps businesses with recruitment research, market analysis, and competitor benchmarking. Scraping Glassdoor job listings with the right automated tool offers a scalable and reliable way to gather career-related insights and unlock growth opportunities.
job-details
company-details
salary-details
skills-and-keywords
job-attributes
headquarters
location
reviews-ratings
The crawlers are 90% ready to go- just with a couple of clicks, and you are copying content with ease.
Provide job detail filters, keywords, or target URL to scrape job listings from Glassdoor. The crawler will extract details such as job title, job location, salary range, job type, date, application deadline, etc.
Download the scraped job listings in your preferred format (CSV, Excel, JSON, MySQL, etc.) for easy integration with HR CRM, job boards, or market analysis.
Set automated scraping intervals to match your needs: weekly for real-time job tracking, monthly for trend analysis, and custom schedules for large-scale hiring campaigns.
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Job Title
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Position
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Job Location
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Job Type
|
Posted Date
|
Posting Time
|
URL
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Salary Range
|
Company
|
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1 |
Data Analyst |
Full-time |
New York, NY |
Onsite |
2025-09-20 |
09:15 AM |
https://www.glassdoor.com/job/data-analyst-nyc-12345 |
USD 74,000 – 133,000 |
Axiom Technologies |
2 |
IT Help Desk Specialist |
Part-time / Shift |
Remote (US) |
Remote |
2025-09-18 |
02:30 PM |
https://www.glassdoor.com/job/it-help-desk-remote-67890 |
USD 24 – 28 / hr |
Athena Information Tech |
3 |
Customer Service Representative |
Full-time |
San Diego, CA |
Hybrid / Onsite |
2025-09-22 |
11:00 AM |
https://www.glassdoor.com/job/customer-service-sd-54321 |
USD 30,000 – 40,000 |
National Electrostatics Corp. |
[ { "#": "1", "Job Title": "Data Analyst", "Position": "Full-time", "Job Location": "New York, NY", "Job Type": "Onsite", "Posted Date": "2025-09-20", "Posting Time": "09:15 AM", "URL": "https://www.glassdoor.com/job/data-analyst-nyc-12345", "Salary Range": "USD 74,000 – 133,000", "Company": "Axiom Technologies" }, { "#": "2", "Job Title": "IT Help Desk Specialist", "Position": "Part-time / Shift", "Job Location": "Remote (US)", "Job Type": "Remote", "Posted Date": "2025-09-18", "Posting Time": "02:30 PM", "URL": "https://www.glassdoor.com/job/it-help-desk-remote-67890", "Salary Range": "USD 24 – 28 / hr", "Company": "Athena Information Tech" }, { "#": "3", "Job Title": "Customer Service Representative", "Position": "Full-time", "Job Location": "San Diego, CA", "Job Type": "Hybrid / Onsite", "Posted Date": "2025-09-22", "Posting Time": "11:00 AM", "URL": "https://www.glassdoor.com/job/customer-service-sd-54321", "Salary Range": "USD 30,000 – 40,000", "Company": "National Electrostatics Corp." } ]