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How Web Scraping Collects Product Data From Ecommerce Sites

How Web Scraping Collects Product Data From Ecommerce Sites

The current user tends to study the information about the product and read reviews from other buyers before placing the desired product in the cart. With the proper collection of information, you will be able to gain an advantage over the nearest competitors by keeping your hand on the pulse of current changes, trends, and tendencies in e-commerce.

Since a decade ago, small and medium-sized businesses have had to collect the necessary data manually, which took a lot of time and effort. Today, you can use the web-scraping service and get the information you need to make important business decisions in a few clicks.

Tool For Extracting Product Information From Ecommerce Sites

If earlier, large companies formed full-fledged departments consisting of specialists engaged in manual data collection, then with the advent of parsing, the need for them disappeared. Moreover, machine algorithms can give more accurate information because they do not make mistakes and work on strictly defined search parameters.

The essence of the procedure is the automated retrieval of information from competitors’ sites by using tools that scan pages for the necessary data. Compared to manual labor, a scraper can analyze hundreds or thousands of pages in a couple of hours, recording:

  • Prices;
  • Product range;
  • Customer reviews, etc.

At the same time, the program can extract even “hidden” fragments of the site and save them in a format suitable for other applications for commercial analytics.

What Are The Benefits Of Parsing In Ecommerce?

First, the tool allows you to optimize prices by constantly monitoring the situation with competitors. It should be noted that almost all large companies use this tool.

Second, the parser results can be used to build a brilliant marketing strategy to attract leads – potential customers interested in your products or services.

Third, the data collected by the web scraper will allow you to analyze and forecast market trends, taking them into account when developing and launching new products, determining the best time, optimal cost, and mood of potential buyers.

What Should A “Good” Parser Look Like?

Ideally, a script, program, or service should use:

  • Dynamic IP;
  • Real user-agent;
  • Pre-scanning for exposed traps;
  • Built-in tool for solving or bypassing the captcha.

And if you’re looking for a good web scraper, you’ve come to the right place. After all, the team managed to implement one of the best machine algorithms for retrieving data on the Internet!

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