How AI-Driven website crawling is
bringing a great change in eCommerce?

By 2025, there will be 38.6 billion smart gadgets gathering, processing, and exchanging data. With the advancement of technology, everything on the internet is going to evolve and our needs and outcomes are no longer going to exist as a default. Developing and maintaining a parser for every different platform requires a considerable amount of time and effort. Companies that offer web crawling solutions leave that to Artificial Intelligence. An AI-powered dynamic eCommerce website crawler employs a continually enhanced learning approach to keep the system up to date and attain high-performance levels. Through adaptive learning, an AI-powered data scraping crawler observes and learns new changes to the input and output values, as well as their related properties. It learns from events that affect market behaviour in real-time and maintains its accuracy at all times. As eCommerce product pages are frequently changing in design, functionality and other aspects, using an adaptive google crawling tool has become a necessity. Using AI algorithms, a dynamic web crawler can adapt to parse any kind of page or website.

Web scraping is projected to cost eCommerce firms 2% of their online sales. With worldwide e-commerce sales totalling 3.53 trillion dollars in 2019, this equates to more than 70 billion dollars.  

Due to this eCommerce platforms like Amazon employ anti-scraping measures to prevent web crawling. One has to deal with CAPTCHAs, IP restriction, Honeypot traps and other anti-scraping techniques. Through AI algorithms, a website crawler mimics human behaviour to bypass anti-scraping techniques. This gives users to break through any website and acquire important information via a data scraping crawler. Google crawling tools target websites from a variety of IP addresses, reducing the possibility of being tracked.

At every attempt of web scraping, a fingerprint is created. Anyone who has scraped the web has a massive collection of potentially useful fingerprints. As training data, these fingerprints can be placed in a database with labels. The fundamental challenge of eCommerce scraping is solved by AI-powered dynamic fingerprinting: improved bot activity detection algorithms. For each request submitted, an appropriate fingerprint is generated automatically. This algorithm identifies the optimal fingerprint set for every particular site and utilizes it to optimize the scraping strategy. AI-powered dynamic fingerprinting improves website success rates in a timely manner.

Since 1990, the number of AI companies has increased by 14 times and Since 2000, investment in AI companies has increased six-fold.  

AI technology is rapidly adopted by companies to improve the efficiency of their operations. As the number of online platforms and activities increases, the use of AI-powered website crawlers for data gathering becomes a high priority for businesses. A modern data scraping crawler enables web data extraction without delays or errors. Web crawling via smart crawler guarantees a much higher success rate and requires less maintenance. It also gives you the advantage over competitors and users get more value for the money spent on google crawling.  

For AI powered web crawling and data scraping at an enterprise level please visit Apiscrapy.com