Artificial intelligence (AI) has revolutionized the world, and it’s reshaping absolutely everything around us as we speak. With the advent of AI, most existing technologies have been simplified, streamlined, and perfected to a superior degree – but there is still a long way to go.

While the road has been paved by technological development to embrace AI in its entirety, many existing practices, technologies, and solutions will have to adapt. AI web scraping has experienced tremendous growth in recent years and shows no signs of stopping.

In this article, we’ll talk about the world of data, more specifically data scraping, and define how AI solutions can perfect this practice to the maximum.

AI and Its Role in Today’s Business Environment

Artificial intelligence isn’t only tasked with making our lives that much more comfortable – it plays a massive role in the modern corporate world. Businesses from all around the globe use artificial intelligence solutions for an abundance of things.

Menial tasks have been all but eliminated at this point, and things that used to take hours, such as transactions, processing, and analytics, now take a matter of minutes. FinTech, BioTech, and even governmental operations have all experienced a healthy boost due to the advent of Artificial intelligence.

And that’s not all. As Artificial Intelligence continues to grow, so makes its application in the business world. One field where the helping hand of AI comes as a lifesaver is the world of data.

Today, data drives the modern business world to go round, and through AI, things such as data collection, refinement, and final analysis have been sophisticated, sped up, and streamlined.

Web Scraping is a Business Essential

Web scraping is a practice where a web scraping bot searched the internet and indexes relevant data. Web scraping as a process is crucial to most modern business applications, as it deals with data accumulation.

Web scrapers can use proxies to pass through geo-restrictions and firewalls and thus reach otherwise inaccessible places. While proxies themselves enable web scraping bots, with the addition of AI, the data it collects can be far higher in quality, especially in more large-scale operations.

Depending on your corporate needs, you’ll need a different web scraper. The larger the project, the better sophisticated the web scraping bot – and through AI, it can get pretty sophisticated.

AI enables the collection of high-quality data that requires little to no refinement, an arduous but mandatory process in traditional web scraping.

The Advantages of Combining AI and Web Scraping

Web scraping and Artificial Intelligence aren’t a long-standing combination. Due to the sophistication of AI and the complexity of web scraping as a whole, this merger is a relatively new addition to the global business arsenal.

Through the process of AI Web Scraping, we can expect:

• A broader application of web scraping solutions
• Far more sophisticated web scraping
• Improved data collection speed
• Improved data collection quality
• Streamlined analysis
• Far fewer restrictions and IP blocks
• Advanced web scraping bot micromanagement
• Vastly more affordable web scraping
• Broader data collection tools
• Less time and resources required for large scale scraping projects
• Better data storage options

These are just at the top of the benefits that we can gain from this combination. Many more advantages yet to come to light due to the variety of implementing artificial intelligence solutions to existing web scraper technology. For example, recently, a new solution was developed for ai web scraping at Oxylabs that unites the power of artificial intelligence and machine learning algorithms to ensure higher success rates.

Not to mention that both of these technologies, as well as data science as a whole, are advancing at a very rapid pace, meaning we’ll have new developments in a relatively short time frame.

Which Businesses Can Benefit the Most?

Artificial intelligence is beneficial for most businesses globally, and most modern companies seek out data-driven solutions, which is what web scraping and data harvesting enable. It’s safe to assume that from the combination of AI web scraping, we can see a far more sophisticated world of data science, which directly translates to global, cross-industry benefits.

Some notable industries that have already experienced a considerable boost are finance, service, hospitality, healthcare, and commerce. They all are similar by their great need for reliable and accurate data that helps stay sharp in the market, as well as take data-driven decisions.

In Conclusion

It’s safe to assume that with the prospect of artificial intelligence, the entire field of data science will experience a very, very healthy and significant boost in no time at all. As AI solutions are getting more sophisticated, so too will web scraping once the two technologies reach their optimal merger.

Current technology allows only so much to be achieved, but tomorrow’s technology, as long as it follows the same growth rate, will change the game for good.