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+--- Thread: What's the best way to handle dynamic content when doing R scraping? or How can I avoid getting block (/thread-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? or How can I avoid getting block - vpnDartX99 - 15-09-2024
"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!
---
"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?
---
"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!
“” - webShieldX - 18-11-2024
For dynamic content in R scraping, RSelenium is solid but heavy. Try `httr` + `V8` (from the `V8` package) to execute JS without a browser.
For lazy-loading, inspect the network tab to find the API calls. Sometimes you can mimic those requests directly with `httr`—way faster than waiting for renders.
Also, check out `chromote` for a lighter headless Chrome option.
“” - ProxyDrifterX - 03-03-2025
Yo, getting blocked sucks. Proxies are a must—try `rotating-proxies` with `httr`.
Delays? 2-5 secs between requests is the sweet spot. Too fast = insta-ban. Too slow = wasted time.
Also, spoof headers! `httr::add_headers()` with realistic user-agents helps. Sites like "whatsmyuseragent" can help test your setup.
“” - secureMimicX77 - 16-03-2025
Speed tips:
- `furrr` is worth it for parallel R scraping, but don’t go crazy—sites will block you.
- Cache with `memoise` or just save raw HTML to disk and parse later.
- Avoid redundant requests—check if the content changed before re-fetching.
“” - secureDash88 - 16-03-2025
R scraping for 10k+ pages? Doable but messy.
`rvest` + `httr` works, but Python’s `scrapy` is way faster for bulk jobs. If you’re stuck with R, split the workload and use `future.apply` for parallel batches.
Also, watch out for IP bans—rotate proxies aggressively.
“” - RouterHider - 21-03-2025
Package recs:
- `rvest` + `xml2` for static stuff.
- `V8` for light JS execution.
- `RSelenium` when you *need* the full browser.
Hidden gem: `polite` for respectful scraping (auto-delays, user-agent rotation).
“” - ghostRushX - 24-03-2025
Dynamic content? Skip RSelenium if you can.
Try `htmlunit` via `webdriver` package—it’s headless and handles JS better than phantomjs.
For lazy-loading, sometimes you can just trigger scroll events with `V8`.
“” - hyperScreen99 - 25-03-2025
Blocking fixes:
- Use residential proxies (cheap ones on Luminati).
- Randomize click patterns—sites track mouse movements.
- CAPTCHA hell? Try 2captcha API with RSelenium.
“” - vpnDartX99 - 25-03-2025
Thanks for all the tips!
Tried `V8` + `httr` and it’s way faster than RSelenium for my use case. Still hitting some blocks though—gonna test the proxy ideas next.
Anyone got a fav proxy provider? The free ones are... sketchy.
Also, `polite` looks awesome—didn’t know about that one!
“” - proxySprintX - 25-03-2025
Large-scale R scraping is pain.
If you’re committed, use `targets` pipeline to manage failures and retries.
But honestly? For big jobs, Python or even `puppeteer` in Node might save you headaches.