Our John Lewis E-commerce Product Dataset provides comprehensive product details, pricing trends, and customer insights. With our John Lewis Data Scraping Service, we help businesses gather accurate, structured data for market analysis, competitive benchmarking, and informed decision-making, empowering brands to optimize strategies and drive growth in the dynamic e-commerce landscape.
SKUs monitored
Cities covered
Update frequently
Our datasets provide businesses with precise, actionable insights for the e-commerce industry. The John Lewis E-commerce Product Dataset includes detailed product listings, pricing trends, and customer reviews to support informed decision-making. Using our John Lewis data scraping service, companies can efficiently gather large-scale data. Our Web Scraping E-commerce Websites solutions allow for seamless collection of competitive intelligence across platforms. Additionally, businesses can leverage scraping John Lewis product data to optimize inventory, track market trends, and enhance marketing strategies. With reliable, structured, and up-to-date datasets, brands gain the tools to improve sales, understand customer behavior, and stay ahead in the competitive e-commerce landscape.
John Lewis Data Fields Include:
Product Name, Product Description, Brand, Category, SKU, Regular Price, Discounted Price, Stock Availability, Seller Details, Customer Reviews, Ratings, Shipping Information, Product Images, and Product Attributes.
| id | product_id | product_name | brand | category_hierarchy | product_price | mrp | discount | product_url | page_url | source | scraped_date | availability | shipping_charges | arrival_date | number_of_ratings | avg_rating | seller_name | color | size |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | JL1001 | LEGO Harry Potter Hogwarts Castle | LEGO | Toys & Gifting > Building Sets | $349.00 | £399.00 | 13% | https://www.johnlewis.com/lego-harry-potter-hogwarts-castle/p5331704 | https://www.johnlewis.com/toys-and-gifting/toys | JohnLewis | 7/17/2025 | In Stock | Free | 7/24/2025 | 875 | 4.8 | John Lewis | Multicolor | N/A |
| 2 | JL1002 | Play-Doh Rainbow Swirl Ice Cream Set | Hasbro | Toys & Gifting > Craft & Play Sets | $27.99 | £24.99 | –12% | https://www.johnlewis.com/play-doh-rainbow-swirl-ice-cream-set/p5445671 | https://www.johnlewis.com/toys-and-gifting/toys | JohnLewis | 7/17/2025 | In Stock | Free | 7/23/2025 | 2,430 | 4.6 | John Lewis | Multicolor | N/A |
| 3 | JL1003 | VTech My 1st Record Player | VTech | Toys & Gifting > Musical Toys | $30.99 | £27.99 | –11% | https://www.johnlewis.com/vtech-my-1st-record-player/p5432109 | https://www.johnlewis.com/toys-and-gifting/toys | JohnLewis | 7/17/2025 | In Stock | Free | 7/22/2025 | 1,120 | 4.5 | John Lewis | White | One Size |
| 4 | JL1004 | Melissa & Doug Wooden Vending Machine | Melissa & Doug | Toys & Gifting > Pretend Play | $99.99 | £79.99 | –25% | https://www.johnlewis.com/melissa-doug-wooden-vending-machine/p5467890 | https://www.johnlewis.com/toys-and-gifting/toys | JohnLewis | 7/17/2025 | In Stock | Free | 7/24/2025 | 215 | 4.7 | John Lewis | Brown / Yellow | N/A |
We understand that delivery area coverage is key to keeping our customers satisfied and our operations efficient. By using Price Tracking Datasets, we monitor pricing trends to ensure competitive offerings across every region we serve. Leveraging a Global Web Dataset, we analyze product availability, shipping efficiency, and service reach in real-time, helping us identify areas where we can improve.
In today’s connected world, we strive to expand our delivery networks and optimize performance, making data-driven decisions every step of the way. With accurate insights, we ensure our services reach more people, faster, and smarter, delivering a seamless experience across the world.
Optimize pricing and boost sales
Expand reach and enhance visibility
Understand customers and improve targeting
Identify demand and grow orders
Extract insights and predict trends
Innovate offerings and meet needs
We gather product and review data from verified John Lewis sources.
Remove duplicates, errors, and irrelevant entries for reliable datasets.
Organize scraped information into searchable, well-labeled, and usable formats.
Provide ready-to-use datasets via secure download or API integration.
Download datasets in multiple formats for seamless compatibility with analytics, reporting, and storage systems.
Integrate real-time product and review data directly into your applications, dashboards, or research tools instantly.
Receive scheduled datasets tailored to your needs for up-to-date insights and market analysis.
Unlock valuable insights—get started with our powerful dataset now!
Choose Product Data Scrape for Retail Data scraping to access accurate data, enhance decision-making, and boost your online sales strategy.
With our Retail data scraping services, you gain reliable insights that empower you to make informed decisions based on accurate product data.
We help you extract Retail Data product data efficiently, streamlining your processes to ensure timely access to crucial market information.
By leveraging our Retail data scraping, you can quickly adapt to market changes, giving you a competitive edge with real-time analysis.
Our Retail Data price monitoring tools enable you to stay competitive by adjusting prices dynamically, attracting customers while maximizing your profits effectively.
With our competitor price tracking, you can analyze market positioning and adjust your strategies, responding effectively to competitor actions and pricing.
Utilizing our Retail Data review scraping, you gain valuable customer insights that help you improve product offerings and enhance overall customer satisfaction.
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Begin by selecting the e-commerce websites you want to scrape, focusing on those that provide the most valuable data for your needs.
Determine the specific data points to extract, such as product names, prices, descriptions, and reviews, to ensure comprehensive insights.
Utilize web scraping tools or libraries to automate the data extraction process, ensuring efficiency and accuracy in gathering the desired information.
After extraction, clean the data to remove duplicates and irrelevant information, ensuring that the dataset is organized and useful for analysis.
Once cleaned, analyze the extracted e-commerce data to gain insights, identify trends, and make informed decisions that enhance your strategy.
Discover how our clients achieved success with us.
“I used Product Data Scrape to extract Walmart fashion product data, and the results were outstanding. Real-time insights into pricing, trends, and inventory helped me refine my strategy and achieve a 6X increase in conversions. It gave me the competitive edge I needed in the fashion category.”
“Through Kroger sales data extraction with Product Data Scrape, we unlocked actionable pricing and promotion insights, achieving a 7X Sales Velocity Boost while maximizing conversions and driving sustainable growth.”
"By using Product Data Scrape to scrape GoPuff prices data, we accelerated our pricing decisions by 4X, improving margins and customer satisfaction."
"Implementing liquor data scraping allowed us to track competitor offerings and optimize assortments. Within three quarters, we achieved a 3X improvement in sales!"
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Our E-commerce data scraping FAQs provide clear answers to common questions, helping you understand the process and its benefits effectively.
Let’s discuss your requirements in detail to ensure we meet your needs effectively and efficiently.
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