Best Practices for Web Scraping in R: How to Handle Dynamic Content and Avoid Getting Blocked?

16 Replies, 1726 Views

Dynamic content is a pain, no doubt. For web scraping in R, RSelenium is your best bet for JS-heavy pages. It’s slow, but it works.

Another tool to check out is `phantomJS`—it’s a headless browser that can render JS, and there’s an R package for it.

For blocks, I’ve found that using a VPN and rotating IPs helps a lot. Also, make sure you’re respecting robots.txt and not hammering the site too hard.

Good luck!

Messages In This Thread



Users browsing this thread: 1 Guest(s)