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
Our Amazon scraper gives you access to data from the world’s most powerful e-commerce platform — with over 2.5 billion monthly visits and a catalog of 600+ million products. It helps you monitor what Amazon launches and promotes, stay ahead of emerging trends, and understand what truly drives success in the global market. With this data at your fingertips, you can make decisions based on accurate information — not assumptions — all delivered in CSV, Excel, or JSON format.
At ScrapeIt, we don’t offer generic tools or pre-packaged dashboards. Instead, we act as your custom Amazon web scraper — collecting the exact data your company needs, in the right volume, at the right time, and in the format that fits your workflow best (CSV, Excel, or JSON). You tell us what you’re looking for — products, prices, reviews, sellers, keywords, categories — and we handle the rest.
We extract data directly from each product page and export it in a clean, structured format — ready to use for analysis, catalog updates, or pricing tools. No need to navigate complex SaaS platforms, wrestle with rigid APIs, or spend hours figuring out how someone else’s system works. You get exactly what you need — nothing extra, nothing missing. Amazon changes fast. With ScrapeIt, your company keeps up — effortlessly.
Our Amazon scraper extracts essential product data that helps you monitor competitors, enrich your catalog, and keep pricing and listings up to date.
You can collect:
This data supports competitive pricing, catalog synchronization, and content optimization — all in structured, ready-to-use format.
Beyond the basics, Amazon holds a wealth of valuable details that can help you understand what drives buyer decisions and how products perform in a competitive space.
We can extract:
This extra layer of data, pulled using our extractor, shows you what people are buying, what they like (and don’t like), what questions they ask before purchasing, and which products are rising fast. It also helps you track competitors, study products, build keyword strategies, and support many other goals across e-commerce and marketing.
Operating under amazon.com and a network of localized domains, Amazon is more than an online store — it’s the beating heart of global e-commerce. Active in over 20 countries, the platform supports dozens of languages and currencies, adapting seamlessly to each local market while maintaining its massive product range and logistical backbone.
From everyday essentials to high-end electronics, Amazon hosts over 600 million listings across categories like books, toys, fashion, groceries, home, and tech. What makes it truly unique is the buyer behavior it reveals — millions of reviews, bestseller trends, and shifting demand patterns that reflect what real people want across regions.
It serves everyone: bargain hunters in India, Prime members in the U.S., and gadget lovers in Japan. For brands, sellers, and researchers, Amazon isn’t just a sales channel — it’s a pulse check on global retail.
Get a QuoteDevelopers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Amazon — 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
Amazon is one of the most data-rich platforms in global e-commerce — and scraping it opens the door to insights you won’t find anywhere else. Whether you're building a product, running a store, or analyzing the market, scraping Amazon gives you a real advantage.
Here’s what you can do with it:
Amazon is where millions of people decide what to buy every day. An Amazon data scraper helps you stay connected to that flow of real-time market data — and turn it into your advantage.
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.
At ScrapeIt, we help businesses turn websites into useful data through smart parsing and reliable scraping services. Whether you need product listings, pricing, reviews, or something unique — we handle the entire process for you. No stress, no setup, just clean and ready-to-use data delivered the way you need it. Reliable, flexible, and built around your goals.
Very popular — Amazon is one of the most scraped e-commerce platforms in the world. Businesses use Amazon data to monitor prices, track competitors, discover trends, and optimize their own catalogs.
Amazon has strong anti-bot protection and constantly changing page structures. Scraping it requires experience, smart logic, rotating IPs, and ongoing support — that’s exactly what ScrapeIt handles for you.
We only collect publicly available product information — no login or personal data. However, how you use the data matters. We recommend using it for research, analysis, and business intelligence, not for violating Amazon’s terms.
You can collect product titles, prices, images, reviews, ratings, seller info, categories, best-seller rankings, and more. We customize every project based on what you actually need.
As often as you need — from one-time snapshots to daily or weekly updates. We can schedule data delivery in CSV, Excel, or JSON format, depending on your workflow.
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