Harnessing the power of open source tools can take your web scraping to the next level. But with so many options available, how do you know which tools are the best? Join us for an in-depth exploration of the most effective open source web scraping tools and discover how to fine-tune their performance with Oxylabs solutions.
On April 30, 2025, at 2 PM GMT+1, Oxylabs will host a webinar where we’ll break down the advantages of the best open source tools, benchmark them against Oxylabs’ Residential Proxies, and demonstrate how to optimize them for your data extraction needs. Tune in to:
➡️ Explore how to optimize tools like Curl Cffi, Tls Client, and Patchright, understanding how they outperform traditional alternatives and how they interact with Oxylabs Residential Proxies and OxyMouse for enhanced performance.
➡️ Learn how tools like Great Expectations and OxyParser can streamline data validation and parsing, ensuring reliability in your scraping projects.
➡️ Watch live demonstrations showcasing performance benchmarks, practical use cases, and best practices for integrating these open-source tools into your scraping workflows.
Featuring live demonstrations and expert insights, this webinar is a must-attend for developers and engineers looking to refine their web scraping techniques with the latest open source tools.
Don’t miss out – register today to secure your spot! Feel free to submit your questions during registration, and our host will address them in the live session.
Can’t join us live? No worries! Register in advance, and we’ll send you the webinar recording after the event that you can watch at your convenience.
Presenter
Tadas Gedgaudas
Senior Python Developer at Oxylabs
From the very beginning of his software development career, Tadas focused on web data extraction. In fact, his very first project was a web scraper. As a web scraping engineer, Tadas is product-minded and, one could say, obsessed with making software as performant as possible. In turn, he practices productivity tracking and even dedicates his pastime to crafting an open-source ML-powered data parsing library.