How to Utilize Machine Learning for Better Web Scraping | A Free Webinar
Register here: https://oxy.yt/yfU8
About the webinar
In rule-based web scraping, the slightest change in website layout breaks the process, prompting the script overhaul to adapt to a new layout. With machine learning (ML), you don’t have to set up or readjust a dedicated parser for an individual web page. The trained model recognizes prices, descriptions, or anything it was trained to do, even after layout changes.
On March 13th, tune in to the Oxylabs webinar to grasp the ins and outs of ML-based parsing. Tadas Gedgaudas, a developer at Oxylabs, will share his knowledge of large language models – ChatGPT in this case – and their integration into the web scraping process.
Tadas will cover the following:
➡️ Nuances of data structurization with and without ML.
➡️ A walkthrough of getting, preparing, and submitting data to ChatGPT.
➡️ A detailed demo of combining ChatGPT with Oxylabs Web Scraper API to scrape and parse web pages without building your own tools.
