Lowe’s is one of the largest home improvement retailers in the U.S., serving both individual customers and professional contractors. This makes the website a particularly valuable source of data for analyzing demand, pricing, product assortment, and market trends. With our Lowe’s scraper, you can extract exactly the insights you need to understand how the renovation and DIY market really works. We’ll get you the data fast, in a clean format, and ready to use.
Our Lowe’s web scraper is fully tailored to your needs — collecting only the product information that actually matters to you, from prices and descriptions to SKUs, brands, stock levels, and promotions. No unnecessary fields — just clean, accurate information ready to use. You get a structured dataset, ready for analysis, integration, or launching new solutions.
Thanks to our team’s experience, our extractor pulls data precisely and at scale — with no delays or gaps. You choose the format: CSV, Excel, or JSON, and receive everything ready to use — no cleanup needed.
We scrape Lowe’s to collect the most important product data from each product page — everything that matters for analysis, monitoring, and comparison:
Beyond standard product details, our Lowe’s scraper uncovers hidden layers of information that give you a real edge in analysis:
Lowe’s is an American home improvement retail chain with roots going back to 1921. The company began expanding as a specialized home improvement business in 1946, and has since become one of the largest players in the U.S. market. The platform offers dozens of categories, including building materials, appliances, plumbing, lighting, garden products, smart home devices, and more.
The service is designed for:
For over 100 years, Lowe’s has adapted to changing customer needs and market trends — which makes lowes.com an essential site to study if you want to understand the dynamics of the DIY and home improvement niche.
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Developers
Customers
Pages extracted
Hours saved for our clients
Customized plans that grow with your data needs.
€199 / one-time
setup fee — included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Lowe’s is a live showcase of the U.S. home improvement and renovation market. You can see which products are moving, which brands are getting attention, how pricing shifts, and which styles and materials are gaining traction. Categories, discounts, reviews, product structures — all of it reveals how the market behaves and what customers actually respond to.
A Lowe’s data scraper lets you stop guessing and start working with real signals: analyze competitors, spot market gaps, test ideas, and launch products based on what’s already proven to work. It’s a fast way to understand the market from the inside.
Learn how to use web scraping to solve data problems for your organization
If you work in travel tech, an OTA, a hotel chain, or at an airport, you are in a price-and-availability arms race. Fares change by the hour, room inventory disappears in minutes, and competitors test new bundles and ancillaries constantly.
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
ScrapeIt provides custom parsing and data extraction services for teams of any size — from lean startups to enterprise companies. We collect data from e-commerce platforms, marketplaces, travel sites, automotive listings, real estate portals, and more. Whether you need a one-time export or ongoing feeds, we adapt to your workflow and scale.
Yes, we can export the data in a format that makes it easy to compare with Amazon, Walmart, or your own product catalog.
A lot. We can extract review ratings over time, recurring themes, common objections, and actual questions buyers ask before purchasing.
Yes, we can set up regular data collection to capture changes in price, description, availability, and other key attributes.
We extract titles, descriptions, bullet points, Q&A blocks, and reviews — everything that affects search visibility and content structure.
Yes. We collect exactly the data you need — filtered by category, brand, product attributes, or keywords.
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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