Large Language Models (LLMs) and AI tools require vast amounts of high-quality data to function effectively. Nowadays, one method for AI companies to gather publicly available data is web scraping. However, this approach presents several challenges, including scaling operations, maintaining data quality, and navigating anti-bot detection systems.

In this webinar, Pierluigi Vinciguerra, CTO and Co-Founder of Data Boutique, will discuss why web scraping is necessary for AI companies, delve deeper into the challenges of web scraping for LLMs and AI tools, as well as introduce the solutions for them.

During the demo, Pierluigi will also demonstrate how to build a custom GPT of The Web Scraping Club newsletter. You can expect to see the process of scraping the latest newsletter articles to create a custom GPT.

Join this webinar to:
➡️ Understand why web scraping is a necessary public data gathering method for AI companies;
➡️ Learn the main challenges of web scraping and what are the solutions to overcome them;
➡️ Watch a demo presentation showing how to create a custom GPT by scraping The Web Scraping Club newsletters and using the latest articles.
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    Pierluigi Vinciguerra
    CTO and Co-Founder of Data Boutique
    Pierluigi is the CTO and Co-Founder of Data Boutique, a marketplace for web data. He is also the author of The Web Scraping Club, a well-known newsletter within the web scraping industry. With over 15 years of experience in web scraping, Pierluigi remains actively engaged in the field. He likes to find new tools and techniques to extract public web data efficiently.