How to Use Real Estate Web Scraping to Gain Valuable Insights
Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping
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.
Get a QuoteDevelopers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Glassdoor — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
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
Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
The use of sentiment analysis tools in business benefits not only companies but also their customers by allowing them to improve products and services, identify the strengths and weaknesses of competitors' products, and create targeted advertising.
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.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582