Floppydata Floppydata

Ecommerce Data Scraping

Send a store or marketplace URL and get back the page's rendered HTML, with JavaScript-loaded prices and stock included, from the country and city you choose.

  • Extract data from dynamic, JavaScript-rendered websites
  • Automated CAPTCHA solving while the page loads
  • Choose the exit country and city for each request
  • Simple API integration: send a URL, get rendered HTML back

All the Reasons to Choose Ecommerce Data Scraping

Rendered pages, location control, and simple billing — through one API request.

Automated CAPTCHA Solving

Automated CAPTCHA Solving

CAPTCHAs detected while loading the page are solved automatically.

Real Browser Rendering

Real Browser Rendering

Pages are rendered before the HTML comes back, so content loaded by scripts is included.

JavaScript Rendering

JavaScript Rendering

Extract data from dynamic and JavaScript-heavy websites.

Geo-Targeting

Geo-Targeting

Choose from 207 exit countries and set the city for each request.

Automatic Retries, Charged Once

Automatic Retries, Charged Once

Set difficulty to auto and a failed attempt is retried through stronger pools — up to 3 attempts, billed once. Failed requests aren’t charged.

Simple API Integration

Simple API Integration

One HTTP request with your API key: send a URL, get rendered HTML back.

Request flow
Your app Python · JavaScript · cURL
Floppydata Web Scraping API
  • JavaScript rendering
  • CAPTCHA solving
  • 207 exit countries · city targeting
  • Auto retries: up to 3 attempts
  • Fresh or cached content
Target website Any public URL

How Does Ecommerce Data Scraping Work?

Ecommerce data scraping is an automated way of retrieving data from online stores and marketplaces. Businesses use this practice to understand what competitors do and how they can respond.

Some of the data collected include pricing, product assortment, customer feedback, and any other relevant modifications on competitor sites. In this case, the practice of data collection is advantageous as it removes the need to manually visit every site, thus tremendously conserving time and energy.

The online trading market is advancing at a breakneck rate. Because of this, the prices of items can change multiple times during a single day.

Some items can become out of stock, while new ones can be introduced at any time. To retain the edge, businesses implement ecommerce web scraping. Ecommerce scrapers are able to capture and store data on items quickly, thus giving a business the ability to respond to the market without being hindered.

The tool is vital for retail chain operators, distributors, and information analysis centers. The ability to capture competitor data and analyze it is what gives a business its competitive edge. Businesses can capture competitor data and alter their pricing strategy to be more competitive.

What is an e-commerce web scraper?

An e-commerce web scraper takes the HTML code from the website of any online store and extracts data as text from the code without any formatting and style. The data extracted can be the names of the products, the price, stock count, specifications, ratings, and reviews.

Depending on their specific needs, businesses can choose from different types of scrapers.

  1. E-commerce product scraper. This scraper gets details of all the products listed on the site, including descriptions, images, and more.
  2. E-commerce price scraper. This scraper tracks product prices in real time and alerts the user if the price of a product changes.
  3. Universal e-commerce scraping tool. This scraper collects data on reviews, product prices, and the product range, depending on the needs.

To get the big picture in data, professional solutions can be integrated with the company’s CRM or analytical dashboard for automated data updates, data processing, and other useful features. This helps the company to be on top of the market and make calculated moves.

What does an ecommerce scraper do?

Ecommerce data collection has many uses besides price monitoring; it is important for strategic planning and decision making.

The following tasks can be accomplished by ecommerce data scraping.

  • Competitor pricing. Adjusting your pricing policy can be done by monitoring competitor pricing.
  • Assortment optimization. Knowing your customers’ preferences helps you understand what products you need to include in your assortment.
  • Sales forecasting. Offering customers relevant products can be done by identifying emerging market trends.
  • Promotion monitoring. You can improve your offers to customers by tracking competitor promotions.
  • Policy adherence monitoring. You can ensure compliance with pricing policies for dealers and partners.

Thanks to an e-commerce price scraper, you can be very agile with your pricing strategies and remain competitive in your market.

Additionally, web scraping for eCommerce allows aggregators and marketplaces to automatically create and revise product databases, alleviating the burden of manually entering data.

Why do companies choose the ecommerce scraping tool?

Manual collection of information takes a lot of time and is not suitable for large projects. When it comes to hundreds or thousands of products, automation becomes a necessity.

A high-quality ecommerce scraping tool allows you to regularly update data, organize it, and use it for analytics. This reduces the risk of errors and provides a more accurate picture of the market.

For companies operating in competitive fields, the ecommerce scraper is becoming a necessary tool for daily work. The data obtained is used to make decisions about purchases, pricing, and product promotion.

What is important to consider when using ecommerce web scraping?

Ecommerce fraud detection services can identify and block web scrapers. For this reason, a web scraping solution should be used with careful consideration to load distribution and resource consumption.

There can be serious legal repercussions for the unauthorized collection of certain types of data. Before scraping a website, make certain the collection of data will not violate the terms of service and will be in accordance with the data collection laws of the jurisdiction where you reside.

Configured properly, scraping tools will function reliably.

Plans & Pricing

Failed requests aren’t charged — no surprises, no hidden fees.

Trial Free 5 successful scrapes Try Free
Basic $9 10K successful scrapes Try It
Enterprise Custom Tailored to your needs Talk to Team

Easy to Start, Easier to Scale

  1. 1

    Send a target URL to the Web Scraping API using Python, JavaScript, or cURL.

  2. 2

    Configure the exit country, city, or request difficulty when needed.

  3. 3

    Receive rendered HTML and process it in your application.

Read documentation
Live example · X-API-Key required
fetch('https://api.floppydata.net/v2/web-data/fetch', {
    method: 'POST',
    headers: {
        'X-Api-Key': 'YOUR_API_KEY',
        'Content-Type': 'application/json'
    },
    body: JSON.stringify({ url: 'https://example.com', difficulty: 'auto' })
});
requests.post(
    'https://api.floppydata.net/v2/web-data/fetch',
    headers={
        'X-Api-Key': 'YOUR_API_KEY',
        'Content-Type': 'application/json'
    },
    json={'url': 'https://example.com', 'difficulty': 'auto'}
)
curl -X POST https://api.floppydata.net/v2/web-data/fetch \
  -H "X-Api-Key: $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://example.com", "difficulty": "auto"}'

Frequently Asked Questions

How to scrape data from an ecommerce website?

An ecommerce web scraper or API tool can collect product details such as price, title, and availability so that you can analyze the data or integrate it into your system in a structured format.

Is data scraping illegal?

Scraping publicly available data is generally allowed when you follow the website's terms of service and the applicable laws. The rules depend on the website, the type of data, and your jurisdiction, so check them before you start.

What is a price scraper?

A price scraper is a tool for automatically tracking prices and understanding price changes. It helps companies understand the price changes of competitors and respond to changes in the market quickly.