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
If you operate in the UK and Ireland health & beauty market, Boots is the benchmark retailer — its pricing, promotions, and range shape shopper expectations. Data from Boots helps brands, distributors, and retailers map category coverage, spot gaps, and plan launches against the market leader. Our Boots scraper provides clear, structured product information — prices, availability, ingredients, images — ready for your use. Tell us exactly what you need extracted, and we’ll export the data in your preferred format on your schedule. Fast and accurate.
There’s no setup on your side: we handle parsing, normalization, and monitoring site changes. You define the scope and cadence; we do the rest.
We use our boots.com web scraper to collect exactly the product data you request — price, availability, variants, ingredients, images — and deliver it on a schedule you choose. We can send it as CSV, Excel, or JSON, or in other formats you prefer. Clean, consistent, easy to import.
Using our Boots data scraper, we extract product titles, brands, breadcrumb categories, current and was-prices (including unit price per 100ml/100g), promo badges and Advantage Card points, and product codes/SKU. We also capture variants and pack sizes, images, rich descriptions (ingredients/how to use/warnings), availability, delivery/Click & Collect options, and ratings with review counts.
We can also collect store-level “Find in store” stock, category/listing tiles with active filters and promo labels, Price Advantage and loyalty messaging, marketplace seller indicators (e.g., approved suppliers), and related-products links. When available, we capture full review texts with dates and authors, plus content from editorial guides for keyword and market insights.
Boots is a leading health & beauty retailer and pharmacy brand in the UK and Ireland, with a large store network and a high-traffic e-commerce site (boots.com / boots.ie). The site serves everyday shoppers and beauty enthusiasts, offering skincare, makeup, fragrance, baby, wellness, and pharmacy services.
Founded in Nottingham in the 19th century, Boots combines trusted own brands (like No7) with a wide range of third-party labels, plus a long-running Advantage Card loyalty program. In addition to first-party retail, the company operates a marketplace for approved sellers, expanding category depth and choice across the e-commerce catalog and strengthening its position in the market.
Regions. Languages. Currencies
Delivery usually includes home shipping and store pickup, while pharmacy and prescription services operate in supported markets under local regulations. This mix of retail and pharmacy content makes Boots a high-value source for reliable product data, reviews, and market insights.
Get a QuoteDevelopers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Boots — 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
When you scrape Boots, you get timely price movements, promo badges, and Advantage Card messaging to adjust your own pricing and offers fast. Pull complete product information and images from each product page to enrich your catalog and SEO. Track marketplace sellers to see new entrants and category gaps. Use availability and Click & Collect signals to gauge regional demand and plan inventory.
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 services company delivering ready-to-use datasets across e-commerce, real estate, job boards, classifieds, and more. We already run reliable scrapers — including our Boots scraper — so you don’t have to build or maintain any tools. Tell us what you need and how often; we handle extraction, monitoring, and quality checks. The result is clean, structured data tailored to your workflow.
No. It’s a managed service: we operate the extractor and deliver the data to you — nothing to install or maintain.
Yes. We record promo badges, Price Advantage, and points messaging, and can track how these change over time.
From one-off pulls to hourly, daily, or weekly runs. We agree the cadence up front and include timestamps so you can compare changes.
Yes. We collect items sold by approved sellers and mark them so you can separate marketplace vs first-party.
We send scheduled exports in CSV, Excel, or JSON, delivered via a secure link or your preferred cloud handoff.
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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