Free White Paper: Addressing the Main Challenges of Public Web Data Gathering

Gabija Birgile

Last updated on

2025-01-06

2 min read

AI Summary:

A survey of web scraping professionals in the US and UK identified key challenges in public web data gathering. The research also explored the business impact of these issues and the current and potential role of AI in addressing them.

New research conducted by Oxylabs in partnership with Censuswide has surveyed scraping professionals to uncover the key issues they face when gathering public web data and the role of artificial intelligence (AI) in addressing them. Survey results and the insights drawn from them are discussed in Oxylabs’ free white paper Meeting the Increasing Business Demand for Web Intelligence.

The survey confirms what Oxylabs, as a leading web scraping solutions provider, have observed over the past year – the demand for high-quality public web data is accelerating. With the advancements in AI model development and increased usage of tools based on these models, we expect this trend to continue well into the future.

Julius Černiauskas, CEO at Oxylabs

Methodology of the research

The market survey of web scraping professionals was carried out by the leading research consultants Censuswide at Oxylabs’ request. Censuswide surveyed 506 developers and other technical professionals who conduct web scraping as part of their job in the United States (US) and the United Kingdom (UK).

While the respondents held various job titles, software developers (41%) were prevalent, with full-stack developers (22%) and data engineers (20%) being the second and third most represented groups, respectively. The survey measured the pulse of the two key markets for web scraping with a special focus on challenges, their business impact, and the potential of applying AI in data scraping.

Free PDF

Meeting the Increasing Business Demand for Web Intelligence

What will you find in this white paper?

The research revealed that the demand for public web data increased for almost three-quarters of US and UK businesses. Other questions answered in the study based on this research include:

What main challenges do web scraping professionals face?
How much time do developers spend on building and fixing data parsers?
What business costs does the interrupted data flow lead to?
What are the tendencies of using AI for web scraping, including what specific tasks are AI tools mostly utilized for?
Are there any differences between the UK and the US developers in AI employment?
What do the challenges and an attempt to address them with AI solutions tell us about the possible directions for the future of web scraping?

Download our free white paper Meeting the Increasing Business Demand for Web Intelligence to find the answers to these and related questions.

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About the author

Gabija Birgile

Senior PR Manager

Gabija Birgile is a Senior PR Manager at Oxylabs. After working in a PR agency and juggling various projects for quite some time, she wanted to try a role in the tech industry. Making a positive impact with her work was always on top of her mind, so managing "Project 4β" pro bono partnerships now definitely does the job. If you have a project in mind, drop her a message at 4beta@oxylabs.io.

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