How Web Scraping Is Used For Extracting Product Data From E-commerce Websites?

By Author: 3i Data Scraping
Total Articles: 46
Comment this article

Price differentiation is a classic strategy found to be successful in gaining new customers and strengthening brand faithfulness. The effectiveness of this strategy is predictable, as roughly 87 % of American thinks pricing to be the most important consideration for online purchase. Furthermore, 17% said that they compare costs before purchasing.

However, in the current environment, the severe competition between numerous e-commerce websites has gone beyond price. It is now all about product data that has a lot of impact including sales strategy, inventory management, and many more. The information gathered from several sources provides you with the weapons you will need to win e-commerce wars.

And for gaining this knowledge, web scraping services are the solution.

Web scraping proposes a general perspective of market circumstances, price data, competitors' plans, current trends, and the issues handled by them. As a result, you may position the product with the above factors in mind, giving you an extra benefit over the competition.

Let us discuss the usefulness of web scraping in extracting product ...
... data from E-Commerce Sites.

Web Scraping - A Great Way to Get Product Data from E-Commerce Websites
You might have countless competitors based on the products you wish to sell in the market. Humans cannot be assigned the task of obtaining product data in large volumes by copying and pasting from website pages. This not just reduces the resources but also increases human mistakes. Web scraping plays a vital role in reducing these human errors.

Data extraction is a process of fetching data more quickly and efficiently. It employs the usage of robots or crawlers to scan certain web pages and extract the information required.

In this situation, web scraping tools scan a list of competitor products from an e-commerce site and also extract other information like customer reviews, pricing, product variants, and so on, in just a few clicks.

Not only this, but it also assists in extracting invisible data that cannot be copied and pasted. Furthermore, it is capable of storing the data extracted in a readable and meaningful format which is usually extracted into CSV format.

Web scraping is more effective in obtaining extensive product data from e-commerce websites.

Scraping Large Scale Product Data from E-Commerce Websites
Web scraper can be used to request a specific product page on an e-commerce website to retrieve product data on a wide scale. The website then responds to the web page requested.

When the page requested is obtained, the crawler parses HTML code for extracting useful data. After extracting the product data, it can be converted and stored in a readable format.

As web scraper is a mechanized program, it is now possible to repeat this procedure as many times across multiple websites and product pages of e-commerce.

Advantages of Extracting Data by E-Commerce Websites
After extracting product data from e-commerce sites, let us discuss the practical applications of this data:

1. Price Regulation
Price-Regulation
The most important aspect of data gathered by scraping e-commerce website data is price comparison and optimization. This tool is used by everyone whether it's eBay or Amazon to have a comprehensive idea of competition. It gathers information from a variety of sources and offers it to a business, which can now set competitive prices and study pricing patterns for their products. Price optimization is beneficial for increasing store earnings of e-commerce.

2. Generating High-Quality Leads
Generating-High-Quality-Leads
Effective marketing is the foundation for a company's growth. However, to make marketing efforts fruitful, the leads must be generated by the company. Web scraping allows you to gather a large amount of data that can then be used to generate leads. The accuracy helps to generate leads correctly and rapidly. Furthermore, the data is in CSV or any other readable format, making it simple to process and analyze those extracted data.

3. Product Development and Launch
Product-Development-and-Launch
When you're presenting a fresh product on an e-commerce site, you will need to do some market research to some extent and figure out the demand for a particular product. You will always stay curious about the prices of competitors' products, discounts offered on their products, a specific duration of demand for example on holidays or festivals, any specific area catered by competitors, etc.

You can design a perfect strategy for the products based on deeper research of competitors' characteristics, without going through the trial-and-error process. You will save a large amount of period that would otherwise be spent on studying and assessing the market with these strategies. You are taking a good opportunity of business by extracting product information from competitors.

4. Predicting and Analyzing Market Trends
Predicting-and-Analyzing-Market-Trends
The market cannot always seem black or white for example selling woolens throughout winters. E-commerce is changing at an immediate pace, and you must keep up.

Time plays a vital role while doing actual sales. Extracting e-commerce website data and tracking the same products of competitors over some months can reveal valuable information about a product and market trends. This data can assist you in determining the appropriate time and pricing to launch the product. An excellent combination of competitive price and an in-season introduction of products will enhance sales.

Furthermore, you may successfully manage your product inventory and stock-based on current or expected market trends.

5. Gathering More Information from Customers
Gathering-More-Information-of-Customers
Web scraping can also be used to learn how customers feel about specific items, preferences, selections, and buying patterns. Customer input can assist you in identifying potential demand and supply gaps. Client data also makes the way for a better product line that resolves customer complaints. At a time, you can also analyze customers' needs in a particular product based on their reviews, preferences, etc.

Customer data also gives you information about customers' worlds, sentiments, and behavior. As a result, you may customize your products or services to their specific needs. You can attract or retain more customers by providing excellent customer service.

Problems in Product Data Scraping and Large-Scale Data Extraction
It is always not so good and optimistic while talking about web scraping, it also has plenty of problems. Many competitors' websites won't allow you to fetch the information. As web scraping crawlers come up with new techniques of data extraction, website administrators also find ways to resist their attempts.

The below list presents issues faced by web crawlers:

1. Changes to the Site's Layout and Design
Changes to the Site's Layout and Design
A web crawler is dependent on the website's structure and this structure must be altered frequently which will be a problem for web scraping companies.

A web scraper is based on the website's structure. This structure frequently gets altered which might be a problem for web scraping companies. A website of e-commerce may find it difficult to pass through BOTS because of the structure and design or changing the appearance of websites. It takes a lot of time and energy to manage these changes regularly whether it is an intentional change by competitors or change due to incompetent coding standards.

2. Using Distinctive Elements
Using Distinctive Elements
The responsiveness of a website can be improved by including modern components in its design. This makes scraping more complicated. Design features can add complexity to data scraping that slows down the process of scraping and interrupt it completely.

Moreover, including active content that allows transitions like, showing more information, loading images slowly, and endless scrolling, makes it problematic for crawlers to read data properly.

3. Problem with Anti-Scraping Technology
Problem with Anti-Scraping Technology
To block scraping efforts, websites use a variety of security measures and techniques. These techniques comprise of protection against Content copy, the use of JavaScript for interpreting content, validations of user-agent, and other approaches.

Websites can also trace the IP address from where requests have originated. If they classify a request as doubtful, for example sending so many requests in a short period, then website owners can block the IP address and do not allow to send more requests. The problem is you cannot avoid a fact that it is not possible to hide the IP address as websites can discover and block the rotating IP addresses.

4. Traps for HoneyPots
Traps-for-HoneyPots
HoneyPot traps, that can identify crawlers and scrapers, are used by websites that store sensitive data to protect them. They use this approach to strategically add hidden links on the webpage which are not made for visitors and are available to scrapers. Honeypots are built to block and trap web scrapers and bots whenever they try to crawl the data. The scraper's IP address is blocked immediately as a result of the trigger setting

5. CAPTCHAs are Used to Prevent Spam
CAPTCHAs are Used to Prevent Spam
CAPTCHA technology is built on Turing Test, which can determine if a machine thinks like humans or not.

CAPTCHA's purpose is to block scripts that are performed automatically or repetitively on a website. It effectively introduces a degree of uncertainty into a predictable workflow. Images with faults and irregularities are decoded by web scrapers. It is impossible for robots to solve CAPTCHAs correctly.

How 3i data scraping can assist e-commerce businesses in scraping product data and disabling obstacles?

Extracting and using data from E-Commerce sites may appear to be a tough job after knowing the difficulties associated with web scraping. 3i data scraping allows you to effortlessly extract product data from e-commerce sites to meet your needs.

3i data scraping also assists you in using several techniques to avoid the anti-scraping mechanisms of the website and get the data you require. These techniques are mentioned below:

Using residential IP addresses that rotate
Making use of real user-agents
Requests are sent at different intervals from changed IP addresses.
pre-detection and avoidance of Traps
CAPTCHA solution services are used to solve CAPTCHAs.
Updating with website changes.
Conclusion
3i data scraping has specialized in web scraping services and can assist you in availing large-scale product data and also helps in gaining data as per the requirement in a readable format.

Looking for e-commerce product data extraction? Contact 3i data scraping now!

Request for a quote!

3i Data Scraping is an Experienced Web Scraping Services Company in the USA. We are Providing a Complete Range of Web Scraping, Mobile App Scraping, Data Extraction, Data Mining, and Real-Time Data Scraping (API) Services. We have 11+ Years of Experience in Providing Website Data Scraping Solutions to Hundreds of Customers Worldwide.