Retailers online want to extract data from e-commerce websites to gain insights of what’s trending these days. But given a large swath of product information is often trapped inside web pages and things on the web is super dynamic (Information keeps changing more often than you think). Extracting product data from such e-commerce websites is extremely painful if it’s to be done on a regular interval.
And thus people often doubt whether they can extract the data they want in such big players (Amazon, Walmart, eBay, etc.). Below are the questions that people often query.
- Why do I often miss some data when extracting product information?
- Why does the service often crash when extracting data?
- How could I crawl from websites with pagination (like eBay)?
- What if the location data is not visible?
- Can I extract the real-time data after trained by few simple steps?
The Easiest Way to Extract Data from E-commerce Websites
Without powerful techniques or programming skill, extracting data would quite challenge your time, resources and even creates a mess to be resolved on a daily basis. But, such problems could be solved with several tips. Before knowing how to make it, we could learn the hidden rules of websites.
Products sold on the same platform often have similar structures, which have a lot of information in a similar format. Let’s take Amazon for example.
You could find that similar products are shown in the same formats.
You could also find the similar rule on URL.
Such features can be found in many e-commerce websites and it makes you get the data easily by setting a loop or changing the URL.
By creating a list of items, you can loop the same items and extract the data you want. For further information you could click HERE. Similarly, you could also change the URL to extract different product data from e-commerce websites.
Author: The Octoparse Team
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