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
Skroutz is Greece’s top comparison and e-commerce platform, popular for electronics, home goods, and more. Our Skroutz scraper tracks listings, real-time prices, seller offers, and product rankings directly from skroutz.gr — providing clean, usable data without any need for you to build or run scraping tools.
We take care of the technical part — you just get the insights. Whether you need top-selling products in a specific category, price comparisons across sellers, or changes in shipping fees, our scraper pulls the right data from Skroutz and delivers it ready for action. No browser extensions, no API keys — just focused, structured output tailored to your business.
We extract more than just product names and prices. Our Skroutz scraper pulls detailed specs, model numbers, and full product paths — whether it’s electronics, sports gear, or appliances. For each listing, it gathers pricing from all available sellers, including shipping fees, payment options, delivery estimates, and shop ratings.
You also receive product rankings in category lists, user ratings, number of reviews, and visual labels like “Popular” or “Value for Money.” Images, color/variant options, and dynamic stock indicators are all included — giving you a full picture of how products are positioned across the Skroutz ecosystem.
Skroutz isn’t just a product aggregator — it’s a layered ecosystem of retail signals. We use our Skroutz data scraper to collect banner promos, rotating campaign highlights, and curated collections (like “Top Laptops for Students” or “Eco-Friendly Picks”). Each category includes filter logic that reveals market segmentation — from brand and feature toggles to express delivery and warranty availability.
We also scrape Skroutz seller hubs, where you can see shop reputations, delivery stats, and customer satisfaction levels. In-product suggestions like “Compare with Similar” or “Frequently Bought Together” reveal upsell strategies. Even footer sections — terms of service, financing options, or returns — can be mined for insights if needed.
Skroutz.gr started in 2005 as a simple price-comparison site and has grown into Greece’s most influential e-commerce marketplace. With over 10 million visits per month and more than 7,000 partner stores, it offers a wide product range — from tech and appliances to fashion and home goods.
A major differentiator is the Fulfilled by Skroutz (FBS) service, where sellers can store inventory in Skroutz-run warehouses — enabling faster delivery, better product visibility, and improved conversion rates. FBS listings also enjoy priority placement in search results.
The platform runs a paid loyalty program, Skroutz Plus, offering perks like free shipping, early access to sales, and exclusive deals. For delivery, Skroutz has built out a network of smart lockers (Skroutz Point), streamlining last-mile logistics.
While dominant in Greece, Skroutz is actively expanding into other European markets, including Romania, Bulgaria, Cyprus, and Czechia, enabling cross-border sales and localized services. With features like business gifting, local pickup, and curated marketing campaigns, Skroutz is evolving into a complete shopping and logistics ecosystem for the region.
Get a QuoteDevelopers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Skroutz — 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
Skroutz web scraper is your gateway to more than just a storefront — it’s a living snapshot of Greece’s retail trends. Scraping it gives you instant access to how products are priced, ranked, and bundled across thousands of sellers in real time. You’ll see how discounts are rolled out, which brands dominate search results, and how buyers respond through reviews and ratings.
For manufacturers, it’s a tool to monitor reseller behavior. For online retailers, it reveals gaps in pricing, stock visibility, or delivery speed. And for analytics teams, it opens the door to understanding the structure of Greece’s top e-commerce player — including local promotions, loyalty incentives, and the impact of FBS and Skroutz Plus on product positioning.
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
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At ScrapeIt, we don’t give you a scraper — we deliver the data you actually need, already cleaned and ready for use. You choose the categories, sellers, or filters from Skroutz, and we handle the rest — no setup, no tools, no guesswork.
Whether you’re watching the Greek tech market, comparing seller behavior, or syncing your product catalog — our job is to keep the data flowing reliably, without disruption. Just plug it into your workflow and make decisions faster.
Yes. We can extract only the sections relevant to your business — be it mobile phones, home tech, sports gear, or niche categories.
We capture each seller’s offer individually — including price, delivery cost, ratings, and estimated shipping time.
Absolutely. We track both standard and locker delivery options, plus any benefits exclusive to Skroutz Plus members.
Yes, we offer scheduled updates so you can track fluctuations over time — from flash sales to regular discount cycles.
Always. No duplicates, no clutter — just the fields you need, delivered in your preferred format.
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.
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