Millions of reviews, salaries, and interview stories - all in one place. Our Glassdoor scraper connects you to one of the most trusted global sources of workplace intelligence. Use it to evaluate competitors, monitor employer branding, or enrich your own job platform with verified insights.
ScrapeIt works like your personal Glassdoor data scraper - but without the need to build or maintain a thing. We extract exactly the information you need: reviews, salaries, interview questions, job listings, and more. You tell us what to collect - we handle the rest.
We deliver ready-to-use data in your preferred format - CSV, Excel, JSON - cleaned, structured, and tailored to your request. Our focus is speed, accuracy, and clarity - so you get the full value of Glassdoor data without the usual friction.
Using our Glassdoor scraper, we extract the key elements visible on each company profile. This includes employee reviews with detailed commentary on pros and cons, star ratings, and metrics like CEO approval, culture, work-life balance, compensation, and career growth. We also gather salary reports by role, company, and location - submitted anonymously by employees and candidates.
In addition, our scraper collects interview experiences: types of questions asked, hiring timelines, difficulty ratings, and outcomes. Where available, we also extract office photos and company descriptions. Everything is presented as seen on Glassdoor - structured, categorized, and ready for analysis.
Beyond the core content, Glassdoor scraper can capture additional layers of insight. These include segmented ratings by category (culture, management, diversity, etc.), trends and keywords extracted from reviews, and aggregated sentiment data.
We also collect employer response rates to reviews, approval percentages, and whether employees would recommend the company to a friend. In interview sections, we extract breakdowns by position and location, as well as interview formats (in-person, phone, online). This data helps build a full picture of the employer brand and candidate experience.
Glassdoor is a global platform that helps people make informed career decisions by providing insights into company culture, compensation, and hiring practices. Founded in 2007 and now part of Recruit Holdings (alongside Indeed), it hosts millions of reviews, salary reports, and interview descriptions submitted anonymously by employees and candidates.
The platform operates in over 20 countries and supports multiple languages, including English, German, French, Spanish, and Portuguese. It offers localized domains for regions like the UK, Germany, France, Brazil, and more. Currency and salary data adapt to the local market. Companies on Glassdoor are ranked across multiple categories, and job seekers use it to evaluate potential employers beyond what’s written in job ads.
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Customers worldwide
Pages extracted
Hours saved for our clients
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
To make smart hiring or business decisions, you need to go beyond job titles and descriptions. When you scrape Glassdoor, you gain access to real employee sentiment, company perception, and interview experiences - all from the people who’ve actually been there.
For employers, it’s a way to monitor reputation and benchmark against competitors. For marketplaces and platforms, it's a valuable source of content to enrich listings. For analysts, it reveals patterns in employer branding, culture shifts, and compensation trends. Whatever your case, scraping Glassdoor gives you an unfiltered view of the workplace.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt is a data delivery service - we extract exactly the information you need from specific platforms and deliver it in a clean, structured format. No scrapers to build, no tools to learn. Just tell us what you're looking for, and we’ll provide ready-to-use data tailored to your goals.
We handle everything: from the extraction process to formatting and quality control. Whether you need a one-time export or scheduled updates, we make web data collection simple and scalable.
It reflects real employee input, making it a reliable source for trends and patterns.
Yes, we can filter data by role, location, or other parameters you need.
Yes, we maintain and adjust our extractor to keep it stable over time.
You get more data, faster - without limits or manual effort.
Yes, we can align Glassdoor data with other platforms in one export.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
