Ecommerce Web Scraping

unpack the value of Ecommerce data

Scraping eCommerce can be your gateway into understanding commerce trends, predicting future prices, and making better decisions.

Here's our overview based on years of crawling eCommerce data.

Ecommerce crawling visualization

Ecommerce Data Use Cases

top reasons to crawl ecommerce websites

In the competitive world of e-commerce, staying ahead means knowing what your competitors are up to.

Competitive pricing, product offerings, and market trends can make or break a business strategy. This is where web scraping becomes an indispensable tool for your business.

Whether you're tracking real-time pricing, monitoring product availability, or analyzing market trends, web scraping delivers the data you need to make informed decisions.

Some real-life scenarios by Scrapfly users

Market price awareness is a key part of any e-commerce strategy and scraping the price can help you stay ahead of the competition.

Ecommerce giants like Amazon.com , Walmart.com , and eBay.com are big enough to dictate the price of entire markets thus are incredible sources of ecommerce data.

Price monitoring helps to keep track of your competitors' pricing strategies, identify pricing trends, and optimize your own pricing strategy.

It can also be used to validate pricing contracts with suppliers and distributors ensuring smooth operations.

Price scraping is used in scheduled data harvesting scrapers as well as real-time scrapers for dynamic pricing calculations.

Understanding the markets is crucial for any new product launch or business strategy and scraping the market data can help you make informed decisions.

For strong market analytics often large e-commerce platforms like Amazon.com are scraped though smaller niches targets like StockX.com can also provide unique market insights.

So collecting big data from e-commerce websites can help you analyze market trends, identify customer preferences, and forecast demand which is especially applicable in today's LLM and AI powered analytics world.

Monitoring your competitors is a key part of any business strategy. By scraping competitor product data, you can keep track of your own relative strategy performance.

This information can help you identify areas where you can improve your own listings, pricing, and marketing strategies to stay ahead of the competition.

Bigger businesses often have distributions and marketplaces they don't control and monitoring these avenues for how your brand is presented is popular use of eCommerce web scraping.

Not only that, but eCommerce web scraping can be used to validate product presentation and pricing to ensure business contracts are followed, and brand integrity is maintained.

This is mostly relevant eCommerce websites with multiple distributors like Amazon.com and Ebay.com .

Customer reviews are a valuable source of feedback and insights for any business. Scraping review data from e-commerce platforms can help you analyze customer sentiment, identify product issues, and improve customer satisfaction.

Ecommerce review scraping can also be used to monitor competitor reviews, track product ratings, and identify new market opportunities.

Top Ecommerce Scraping Targets

the most scraped ecommerce targets today

Web Scraping Amazon.com

Amazon.com is the world’s largest online marketplace, offering an unparalleled selection of products across virtually every category. It provides detailed product descriptions, customer reviews, and competitive pricing, making it a go-to destination for shoppers worldwide.

Amazon.com is also a valuable platform for businesses and sellers to reach millions of customers through its seller directory and marketplace tools.

guide for web scraping amazon.com using Python or Javascript

How to Scrape Amazon.com

For more on scraping Amazon see our introduction guide which covers everything you'd need to know about scraping Amazon products, reviews and other details.

Web Scraping Aliexpress.com

AliExpress.com is a major global online retail platform, offering a vast array of products across numerous categories, including electronics, fashion, and home goods. It provides detailed product descriptions, customer reviews, and competitive pricing, making it a popular choice for shoppers worldwide.

AliExpress.com is also a valuable platform for businesses and sellers to reach a global customer base through its comprehensive seller directory and marketplace tools.

guide for web scraping aliexpress.com using Python or Javascript

How to Scrape Aliexpress.com

For more on scraping Aliexpress see our introduction guide which covers everything you'd need to know about scraping Aliexpress products and reviews using Python.

Web Scraping Bestbuy.com

BestBuy.com is one of the largest electronics retailers in the US, offering a wide range of products, including consumer electronics, appliances, and home goods. It provides detailed product descriptions, customer reviews, and exclusive deals, making it a trusted destination for tech enthusiasts and shoppers.

BestBuy.com is also a valuable resource for discovering professional services such as installation, repair, and tech support through its Geek Squad directory.

guide for web scraping bestbuy.com using Python or Javascript

How to Scrape Bestbuy.com

For more on scraping Bestbuy, see our introduction guide which covers everything you'd need to know about scraping Bestbuy product and review data with Python.

Web Scraping Ebay.com

eBay.com is one of the world’s leading online marketplaces, known for its extensive selection of new and used items across countless categories. It offers competitive pricing, auction-style listings, and detailed seller ratings, making it a trusted platform for buyers and sellers alike.

eBay.com is also a valuable resource for connecting with individual sellers and small businesses, offering a unique opportunity to find rare and custom products.

guide for web scraping ebay.com using Python or Javascript

How to Scrape Ebay.com

For more on scraping eBay, see our introduction guide which covers everything you'd need to know about scraping eBay listings, auctions and search data with Python.

Web Scraping Etsy.com

Etsy.com is the go-to platform for handmade, vintage, and unique items, connecting millions of buyers and sellers worldwide. It offers a curated selection of products, including crafts, home décor, clothing, and personalized gifts, making it a favorite for those seeking one-of-a-kind treasures.

Etsy.com is also a valuable resource for small businesses and artisans to showcase their creativity and reach a global audience through its vibrant marketplace.

guide for web scraping etsy.com using Python or Javascript

How to Scrape Etsy.com

For more on scraping Etsy, see our introduction guide which covers everything you'd need to know about scraping Etsy listings, reviews and search data with Python.

Web Scraping Leboncoin.fr

Leboncoin.fr is one of France's most popular classified ad platforms, offering a wide range of listings for properties, vehicles, jobs, and second-hand goods. It provides a simple and efficient way for users to buy, sell, and rent directly from individuals and businesses.

Leboncoin.fr is also a valuable resource for discovering local services and connecting with professionals through its extensive directory of classified ads.

guide for web scraping leboncoin.fr using Python or Javascript

How to Scrape Leboncoin.fr

For more on scraping Leboincoin, see our introduction guide which covers everything you'd need to know about scraping Leboncoin listings data with Python.

Web Scraping Stockx.com

StockX.com is a leading online marketplace for sneakers, streetwear, electronics, and collectibles, offering a unique stock market-style approach to buying and selling. It features verified authentic products, real-time pricing data, and transparent transactions, making it a trusted platform for enthusiasts and resellers.

StockX.com is also a valuable resource for tracking market trends and connecting with a global community of buyers and sellers.

guide for web scraping stockx.com using Python or Javascript

How to Scrape Stockx.com

For more on scraping StockX, see our introduction guide which covers everything you'd need to know about scraping StockX listings data, prices and bids using Python.

Web Scraping Walmart.com

Walmart.com is one of the largest online retailers in the US, offering a vast selection of products across categories such as groceries, electronics, home goods, and clothing. It provides competitive pricing, detailed product information, and convenient delivery or pickup options, making it a top choice for shoppers.

Walmart.com is also a valuable platform for businesses and third-party sellers to reach millions of customers through its online marketplace.

guide for web scraping walmart.com using Python or Javascript

How to Scrape Walmart.com

For more on scraping Walmart, see our introduction guide which covers everything you'd need to know about scraping Walmart product, review and store data using Python.

Ecommerce Data Made Easy

don't let the complexities of ecommerce data hold your business back

from scrapfly import ScrapeConfig, ScrapflyClient, ScrapeApiResponse

client = ScrapflyClient(key="API KEY")

api_response: ScrapeApiResponse = client.scrape(
  ScrapeConfig(
    # add real estate property url
    url='https://www.amazon.com/dp/B0CHBN8QD9',
    # enable bypass anti-scraping protection
    asp=True,
    # enable headless browser if necessary
    render_js=True,
    # use AI to extract data
    extraction_model='product'
  )
)
# use AI extracted data
print(api_response.scrape_result['extracted_data']['data'])
# or parse the html yourself 
print(api_response.scrape_result.content)
import { 
    ScrapflyClient, ScrapeConfig 
} from 'jsr:@scrapfly/scrapfly-sdk';

const client = new ScrapflyClient({ key: "API KEY" });

let api_response = await client.scrape(
    new ScrapeConfig({
        url: 'https://www.amazon.com/dp/B0CHBN8QD9',
        // enable bypass anti-scraping protection
        asp: true,
        // enable headless browser if necessary
        render_js: true,
        // use AI to extract data
        extraction_model: 'product'  // or reviews
    })
);
// use AI extracted data
console.log(api_response.result['extracted_data']['data'])
// or parse the HTML yourself
console.log(api_response.result['content'])
http https://api.scrapfly.io/scrape \
key==$SCRAPFLY_KEY \
url==https://www.amazon.com/dp/B0CHBN8QD9 \
asp==true \
render_js==true \
extraction_model=product
Output
1

Send an API Request

bypass any blocking and use a real web browser
2

Get Data & Screenshots

get html, browser data and page screenshots
3

Extract Value with AI & LLM

use LLM prompts and AI auto parsers to find data
Web Scraping API Web Scraping API

Web Scraping API

Screenshot API Screenshot API

Extraction API

Screenshot API Screenshot API

Screenshot API

Web Scraping API

Web Scraping API

Unlock the Real Power of Web Scraping

Power through scraping challenges using intelligent tools that save time and maximize results with the best success rate and cutting-edge features

Extraction API

Extraction API

Realize the Potential of Your Data

Maximize your efficiency with an AI-powered extraction process designed to save you time. Effortlessly extract data with AI, LLMs, and customizable templates

Screenshot API

Screenshot API

Effortlessly Capture the Visual Web

Capture web page screenshots effortlessly using real browsers optimized for screenshots

Seamlessly Integrate with Frameworks & Platforms

Easily integrate Scrapfly with your favorite tools and platforms, or customize workflows with our Python and TypeScript SDKs.

Frequently Asked Questions

How to unblock access to Ecommerce websites?

While scraping e-commerce websites is legal, some websites may block access to their data if they can detect robot-like behavior. For this, you can fortify your scrapers against identification yourself using tools and techniques covered in our blog here or you can leave it to Web Scraping API to handle it for you!

Is web scraping eCommerce websites legal?

Yes, generally web scraping publicly visible ecommerce data is legal in most places around the world. However, extra consideration should be noted on scraping copyrighted product data and reviews. For more see our in-depth web scraping laws article.

What eCommerce data can be scraped?

Ecommerce websites are incredibly rich with variety of data: product listings, reviews, prices, seller details, and more. All of this data can be scraped and used for market analysis, price monitoring, and competitor tracking.

How to extract data from scraped eCommerce pages?

Modern ecommerce websites often store data in page HTML, embedded JSON and generate it through background requests. So, to extract full ecommerce dataset it's best to use AI tools capable of understanding all of these data facets like Extraction API

What is a Web Scraping API?

Web Scraping API is a service that abstracts away the complexities and challenges of web scraping and data extraction. This allows developers to focus on creating software rather than dealing with issues like web scraping blocking and other data access challenges.

How can I access Web Scraping API?

Web Scraping API can be accessed in any http client like curl, httpie or any http client library in any programming language. For first-class support we offer Python and Typescript SDKs.

Are Proxies enough to scrape eCommerce data?

No, most modern ecommerce websites can identify proxies and blocking access to their public data. To bypass ecommerce blocking you'll need to use combination of new bypass tools and techniques or defer these steps to a service like Web Scraping API .