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
Google Shopping is a global storefront viewed by millions of shoppers every day. With our Google Shopping Scraper, you get structured data from one of the largest retail platforms online — prices, availability, ratings, sellers — all in one stream. We collect information from top retailers across dozens of countries. This helps you track global trends and local competition. These are the kind of insights that keep you one step ahead.
We act as your personal web scraper. You don’t need to set anything up — just tell us what data you need, and we’ll handle the rest. We export clean, structured results in CSV, Excel, or JSON — fully tailored to your needs.
We take care of the entire process: we set up tracking, update the data regularly, and scrape Google Shopping for you — no need to deal with APIs, code, or complex tools. You get ready-to-use reports with zero effort on your side.
Using our Google Shopping data scraper, we gather essential product details directly from each product page:
Our product data extractor also captures additional information that gives context and helps enrich your dataset. These details offer deeper insights into how items are presented across different sellers and markets.
Here’s what else we can extract:
At shopping.google.com, millions of products are aggregated from retailers across the world — creating one of the most comprehensive hubs for real-time price and product visibility. It doesn’t operate like a marketplace with its own checkout; instead, it surfaces offers from thousands of sellers and redirects users to external sites.
With localized experiences in 90+ countries, Google Shopping adjusts language, currency, and delivery options to match user location — making it a key platform for regional trend tracking and cross-border e-commerce insights.
Whether you're monitoring seasonal discounts, benchmarking competitor prices, or analyzing category saturation, scraping Google Shopping data reveals what’s being pushed, what’s ranking, and what’s converting — all within a system tightly tied to Google Search and Ads.
Get a QuoteDevelopers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Google Shopping — 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
A Google Shopping scraper lets you collect data from one of the most visible and competitive e-commerce channels. Google Shopping aggregates millions of products from sellers worldwide and displays them directly in search results. With this data, you can track how sellers are represented in the market — what they offer, at what price, and under what conditions.
The uniqueness of Google Shopping data lies in the following:
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 team of experienced data professionals focused on web scraping solutions. We simplify complex tasks and build workflows that work for your specific goals. As a trusted Google Shopping web scraper, our company offers tailored services for collecting structured data from e-commerce sites, marketplaces, and large-scale catalogs. We also follow all compliance standards and know how to deal with site restrictions.
In addition to Google Shopping, we frequently scrape Amazon, Walmart, Target, Etsy, Zalando, MercadoLibre, and Rakuten — depending on region and category.
Yes. We can track how a product is listed, priced, and promoted by different retailers over time.
Our clients include e-commerce brands, pricing analysts, digital marketers, competitive intelligence teams, and product managers.
Yes. All exports are delivered in a clean, structured format — ready to use in your BI tools or internal systems.
Yes, you can choose exactly which product information you need — we can include only selected fields in the 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.
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