Web Scraping with GPT-4o and Python: Easy and Effective!
In this video, The PyCoach demonstrates how to use GPT-4o and Python for web scraping. The tutorial is aimed at automating the process of extracting data from websites that have all their information on a single page. The PyCoach uses the OpenAI Playground to connect to GPT-4o and scrape data from a sample website. The video is sponsored by Brilliant.
The process begins with The PyCoach explaining how to use the OpenAI Playground. He sets the system prompt to instruct GPT-4o to act as a web scraper and extract data in JSON format. He then uploads a screenshot of the target website and runs the prompt to see the extracted data in JSON format. Due to token limitations, he notes that the data may get cut off and suggests increasing the maximum tokens if more data is needed.
Next, The PyCoach shows how to automate the web scraping process using Python and Selenium. He demonstrates a script that takes a screenshot of the website, scrolls down, and takes additional screenshots to capture all the data. He then integrates the OpenAI API to send these screenshots to GPT-4o for data extraction. He highlights the importance of converting screenshots to base64 format for the API call.
The PyCoach also addresses the challenge of handling large screenshots that may lead to inaccurate data extraction. He recommends breaking the process into smaller steps, such as scrolling and taking multiple screenshots, to ensure reliable data extraction.
The video concludes with a mention of the sponsor, Brilliant, and a brief overview of their interactive learning platform. The PyCoach provides links to the scripts used in the tutorial for viewers to try web scraping with GPT-4o and Python on their own.
Overall, the tutorial offers a comprehensive guide to web scraping using advanced AI tools and Python, making it accessible for users with some Python knowledge.