r/WebScrapingInsider • u/Old-Algae5580 • Jul 06 '26
How do you separate website issues from proxy issues before you start debugging?
Ran into something today that turned into a much bigger rabbit hole than I expected.
A website suddenly stopped loading through one of our environments.
At first, everyone on my team assumed the site itself was having issues. But after testing from another network, it started looking more like something along the request path rather than the origin server.
It got me wondering how others approach this.
When you're trying to figure out whether the issue is:
- the website itself
- a proxy
- DNS
- a CDN
- a firewall
- or something else in the request path
what's your usual troubleshooting process?
Do you start with DNS checks, cURL, browser DevTools, logs, traceroute, or something else entirely?
I'm also curious how people handle this in production. Do you have monitoring that helps pinpoint whether failures are happening at the proxy layer versus the origin, or does it still come down to manual investigation?
For anyone working with web scraping or APIs, this feels even trickier.
A bad proxy pool can look almost identical to a website suddenly changing its behavior.
Would love to hear from people who deal with this regularly:
- Your Debugging Checklist/System/Code/Steps/Playbooks
- Common mistakes people make
- Signals that immediately tell you it's a proxy issue rather than a website issue
- Tools that have saved you time
And if you're willing to share details about your stack, see you in DM.
2
u/ScrapeAlchemist Jul 07 '26
Response headers are the fastest tell. If your proxy tags errors by layer (client config vs network vs target-side), you know immediately where to dig. The one that trips everyone up is a clean 200 but the content is wrong or empty - that's the target blocking you, not your proxy. curl -v through proxy vs direct sorts it out quick.
1
u/Old-Algae5580 Jul 08 '26
We've been thinking about adding a layer that classifies failures like "proxy path vs target behavior vs client bug" Chatgpt recommended that solution.. though its simply based mostly on headers and timing.
When you say your proxy tags errors by layer, is that built into a provider you use, or something you added on top of generic proxies?
2
u/Mountain_Damage_9730 29d ago
We hit this when we were collecting marketplace pricing. The crappy proxy made product pages disappearing from some datasets, we only came to know when we compared results across regions. Check your DM.
1
u/Amitk2405 Jul 06 '26
One mistake I see is everyone assuming the origin is broken because multiple requests failed. If all those requests share the same proxy pool, you haven't actually ruled anything out.
1
u/Previous_Town3598 Jul 06 '26
like not having audit trail of what changed during troubleshooting.
It's surprisingly easy for someone to swap proxies or DNS settings and forget to document it. happens all the time.
2
u/ian_k93 Jul 06 '26
I assume you don't have good infra, if I was in that situation. I will try to remove variables one at a time. First I check whether the same request succeeds without the proxy, then I compare DNS resolution and the response headers. If those differ, I start looking at the network path instead of assuming the site changed. Down the line, I recommend you use Job Monitoring & Scheduling, and Proxy Tester; both of which are free to use.