The article also addresses potential limitations of this approach, such as handling CAPTCHAs and IP blocks, and suggests using a dedicated web scraping API like Proxies API for a more robust solution. Proxies API offers features like automatic IP rotation, user-agent rotation, and CAPTCHA solving, making web scraping easier via a simple API.
Key takeaways:
- ChatGPT can be used for web scraping by providing detailed instructions in natural language, and it generates the code to extract the required data.
- For scraping dynamic websites, tools like Selenium are required, and the user needs to provide instructions for handling dynamic elements like infinite scroll, tabs, popups etc.
- ChatGPT also offers an alternative approach for web scraping using its code interpreter or Advanced Data Analysis, where the target page HTML can directly be uploaded.
- While ChatGPT can automate web scraping without complex coding, it has limitations like handling CAPTCHAs, IP blocks and other anti-scraping measures. A more robust solution is using a dedicated web scraping API like Proxies API.