What's the best way to handle dynamic content when doing R scraping? or How can I avoid getting block

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"What's the best way to handle dynamic content when doing R scraping?"

Hey folks!

Struggling with dynamic content in R scraping—like, pages that load stuff via JS after the initial request.

I’ve tried `rvest` but it’s not catching everything. Heard about `RSelenium` or `phantomjs`... but is there a lighter way?

Also, how do y’all deal with lazy-loaded content? Feels like a pain to scrape.

Any tips or favorite packages?

Thanks!

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"How can I avoid getting blocked while R scraping websites?"

Yo!

Getting blocked left and right when R scraping... ugh.

Rotating user-agents? Proxies? Delay between requests? What’s your go-to move?

I’ve used `httr` with some delays, but sites still sniff me out sometimes.

Is there a sweet spot for request timing? Or am I doomed to CAPTCHA hell?

Help a scraper out!

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"Any tips for speeding up R scraping scripts?"

Hey!

My R scraping scripts are slower than a snail on vacation.

Using `purrr` for loops helps a bit, but parallel scraping with `furrr`? Worth it?

Also, is there a way to cache responses so I’m not hammering the same page over and over?

Kinda new to this, so any hacks welcome!

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"Is R scraping still reliable for large-scale data extraction?"

Sup everyone!

Thinking of using R scraping for a big project... but is it still up to the task?

Seems like Python gets all the love now.

Can `rvest` + `httr` handle 10k+ pages, or should I switch tools?

Anyone done large-scale scraping with R lately?

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"What packages do you recommend for efficient R scraping?"

Hi all!

Diving into R scraping and overwhelmed by package choices.

`rvest` is my go-to, but what about `xml2`, `RSelenium`, or even `V8` for JS-heavy sites?

Any hidden gems or combos that make life easier?

Thx in advance!

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What's the best way to handle dynamic content when doing R scraping? or How can I avoid getting block - by - 15-09-2024, 03:05 PM



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