Oxylabs: Advancing Web Data Collection Resources With AI Technology

Oxylabs is a premium web intelligence collection platform designed to help users save time and money on complex data acquisition initiatives backed by the power of artificial intelligence tools. Modern businesses rely on web data collection resources to make informed decisions about the market, innovate and find underutilised solutions, and maintain a competitive advantage.

Oxylabs’ Standing as a Leader in Web Intelligence

Web intelligence is essential to digital businesses and will only become more critical. Internal data from individual businesses is quickly exhausted, and companies are turning toward outside resources. Looking to optimise revenue streams, companies compete with one another for access to the external data that fuels the growth of the digital economy.

Established in 2015, Oxylabs is a leader in web intelligence and a premium proxy provider. It offers innovative and ethical scraping solutions to make this data accessible. Oxylabs works with dozens of Fortune 500 companies and has been named Europe’s fastest-growing web intelligence acquisition company in the Financial Times’ 1000 list three years in a row.

Modern Innovation in the OxyCopilot AI Assistant

Oxylab’s OxyCopilot is the industry’s first AI assistant for web scraping and a part of the company’s Web Scraper Application Programming Interface (API). This service keeps your business ahead of the competition and drastically reduces the workload on essential public web data collection initiatives.

Combining AI with Oxylabs’ proprietary technology, OxyCopilot makes it easy for web scraping professionals and those without experience in data collection to generate requests for Oxylabs’ Web Scraper API with only a URL and natural language prompts.

“Together with Censuswide,” says Oxylabs CEO Julius Černiauskas, “we carried out a wide survey of developers and web scraping practitioners in the UK and the US. The data showed that 74% of businesses faced an increasing demand for public web data over the last year.

Unfortunately, building the necessary infrastructure and maintaining data parsers remains a heavy challenge for many companies, a proper parsing process alone can take up to 40 development hours per week for the tech teams. With OxyCopilot, we aimed to help our clients collect the data they need more efficiently.”

Empowering Top Industries and Small Companies Alike

The OxyCopilot AI assistant is only one part of Oxylabs’ greater initiative to fuel top industries with public web data while empowering smaller companies that previously could not afford a professional team. Finding a team of web scraping professionals is pretty difficult in the current market, and when considering the cost of hiring, most small companies can’t afford the necessary expense.

Oxylabs’ AI tool will save hundreds of development hours on repetitive web scraping initiatives, enabling businesses to spend more time assessing data quality, proper analysis, and emerging innovations.

Saving on Time, Resources, and Money

In addition to saving time, Oxylabs’ platform helps companies spend less overall. When collecting data for an individual enterprise, that company must allocate resources toward building costly infrastructure, including servers, computers, data centers, and more. 61% of industry professionals consider this challenge to be the most demanding when dealing with data on a large scale. Using Oxylabs means that building your infrastructure is unnecessary.

“We always aspired to be industry leaders through innovation,” Černiauskas continues, “and taking a step further in the field of AI was a natural business decision for us. OxyCopilot is unique in its design, and we are currently patenting technological implementations behind it. Most importantly, it functions as a part of a broader platform that includes other AI-powered solutions, from proxy management to web unblocking. With the help of AI machine learning (ML), we are moving towards automating the entire public web data collection process.”