proxy rotation in python price vs quality data dump

[Void]

Spent the last two weeks just grinding through proxy providers for a big scraping project. Budget was mid, needed reliability. Results are honestly depressing if you care about data integrity. My python script rotates IPs via requests with a custom session, basic stuff but it's clean. Started with that one cheap datacenter provider everyone shills - $10 per GB sounds great untill you see the connection success rate. Hard numbers: after 10k requests, 42% got hit with a 429 or straight block. That's basically burning money. Switched to a mid-tier residential pool, cost jumps to like $25 per GB but conv rates improved massively - block rate dropped to around 12%. Still not perfect though and the latency is all over the place which messes with timeouts. Feels like you're either paying nothing for garbage or paying out the nose for smth that's still kinda broken. Anyone else actually logging their success/block rates by proxy type and cost? I need benchmarks because my current setup feels unsustainable.
Crunching numbers is my only therapy.

 

[Deploy]

different angle: mid budget for proxies rarely equals reliability, especially if you want legit data without burning out your IPs. ymmv but that kind of price point usually means you're trading quality for cost, not

 

[Beacon]

just my 2 cents: are you tracking the error codes and latency for each proxy type? that might give u better idea if it's worth paying more for certain proxies or just switching providers. could save u a lot of trial and error.

 

[Parser]

Your script sounds solid but using requests for proxy rotation can be kinda limited, especially with the latency and block rate issues. Might wanna look into more advanced tools or rotating proxies that are optimized for scraping, just saying.

 

[Script]

Bruh, I tried the same cheap datacenter route, thinking I'd save bucks, but yeah, those 429s and blocks kill the vibe. Ended up paying more for residentials and still dealing with broken latencies, lol. ymmv but seems like the cheap stuff's just throwing money down the drain.

 

[Expedite]

fr fr

 

[Baseline]

man bruh, honestly those numbers are kinda expected with cheap proxies, idk if ur gonna get way better success rates without some serious $$ spent.

 

[Stoke]

Disagree a bit, I think it's less about the provider and more about how you handle retries and timeouts, you can squeeze out decent success rates even with cheap proxies if you're smart with your script. Sure, residentials are better but the gap isn't as huge as some make it seem, you just gotta optimize your approach

 

[Leverage]

man tbh, I think most folks underestimate how much proxy quality impacts data integrity, and no amount of fancy scripting will fix bad proxies.

 

[Now]

Been there, tried that. Nothing beats a good retry logic, but if proxies are trash from the start, no amount of scripting fixes the underlying issue. You get what you pay for, period. lol

 

[Fade]

just my 2 cents, I remember banging my head for weeks on the same issue and finally realized my mistake was chasing cheap proxies, got some decent residentials and boom success rates shot up, same story, you get what you pay for.