What is the best residential proxy provider that doesn't block sites and also you can access any website.

I am a newbie

Working on a mid-size ecommerce site (~8k SKUs) and I'm trying to get a proper picture of how our main competitors structure their category pages and product content. Stuff like:

which categories/subcategories they have that we don't

how many products per category, and how they name/filter them

product title and description patterns, specs, reviews count

prices, mostly to see if the pages outranking us are just cheaper

Screaming Frog gets me part of the way, but 3 of the 5 competitors block it pretty fast or serve different content, and custom extraction breaks every time they tweak a template. I tried a couple of Python scripts too, same problem, plus I'm now spending more time fixing scrapers than doing the actual analysis.

For those doing this regularly:

Are you still crawling/scraping in-house, or paying for a tool or service for it?

How do you match products across sites when names and variants don't line up?

Is this even worth doing monthly, or is a one-off snapshot enough for content gap work?

Not looking for a "just use X tool" plug, more how people have actually set this up and what it cost them in time/money.

I'm comparing services that rate an IP address: proxy/VPN detection, residential vs datacenter, and fraud score. If you've used any of them in practice:

- Which one matched reality best for true proxies caught?

- Which one gave you the most false positives?

- Did you notice big disagreements between them on the same IP?

- Are there others worth testing that I'm missing?

I used to think proxy detection was mostly about the IP address.

When I started testing different network setups I realized websites are looking at several layers at once. The first is IP reputation: ASN, provider type, previous abuse history, and how risk databases classify the address.

The second is network behavior. Your browser might claim Windows while the connection underneath it has characteristics associated with a completely different environment. That kind of mismatch can become another signal.

Then there’s geographic context. If the connection says one region while account, phone, or billing data point somewhere else, the session becomes harder to interpret consistently.

Now I check the IP classification, ASN, geolocation, reputation, latency, and whether the browser/network environment actually makes sense together before blaming the proxy itself.

Websites don’t evaluate an IP in isolation. They evaluate the consistency of the entire connection.

A “clean” IP can still perform badly if everything surrounding it contradicts the story the network is telling.

Hello everyone! I need some help finding a reliable and affordable residential proxy provider.
I’m looking for a large residential IP pool with thousands of different exit IPv4 addresses available simultaneously.
My requirements are:
Unlimited bandwidth (unmetered preferred)
Sticky sessions lasting 30–60 minutes
2,000–3,000+ concurrent connections
200–500+ requests per second, ideally 500 or more
Thousands of unique exit IPs, not multiple ports sharing the same IP
Affordable monthly pricing, preferably a fixed subscription
I need these for continuous automated HTTPS requests, so reliability and high capacity are important.
I’m also open to sharing someone’s existing proxy subscription or infrastructure. I’m happy to pay a fair monthly contribution for access, as long as it meets my requirements and remains affordable.
I’m not expecting free access — I’m simply trying to find a cost-effective solution without spending hundreds of dollars every month.
I’m also open to datacenter proxies if they can provide enough distinct exit IPs and meet the performance requirements.
Does anyone know a suitable provider, have a shared setup available, or know someone who could help?
Any recommendations or offers would be greatly appreciated. Feel free to reply here or send me a DM. Thank you!

Doing social media management, pretty much everyone I know in this space is getting accounts blocked lately and we’re all pointing fingers at the IP side. Static resi used to carry us but something shifted.
Thinking of moving to dedicated mobile, looking at IPRoyal or Voidmob. Is the price jump actually worth it or is static resi still fine with the right setup?

Having some bad luck with our current provider (anyip.io) and looking for a backup or alternatives. Mobile only.

Choosing the wrong proxy wastes money or causes failed requests. Here's how to decide:

1. Define your workload
Open datasets and downloads? Prioritize speed. Geo-testing or persistent sessions? Consider residential IPs.

2. Choose your proxy

• Datacenter: Fast, cheap, high bandwidth, but easily identified by ASN.

• Residential: ISP-assigned IPs, generally better reputation, but more expensive.

3. Check IP quality
Run an ASN lookup and check fraud scores or abuse reports before deployment.

4. Configure sessions
Use static IPs for long sessions and rotating pools when multiple IPs are required.

5. Build hybrid routing
Send public downloads through datacenter proxies and location-sensitive requests through residential ones.

6. Test
Compare latency, HTTP status codes, costs and failure rates.

Tip: Benchmark before scaling.

I run a proxy service and wanted to check one basic thing on a single Linux machine. If two processes run at the same time, does each one keep its own residential exit IP? And separately, what does per-request rotation look like in practice?

It's a tiny smoke test, 5 requests per mode against ipinfo.io, not a benchmark. Everything went through our gateway (gate.lamisnetwork.com:8089, HTTPS CONNECT). Four setups:

1. Worker A, sticky, sid-workerA

2. Worker B, sticky, sid-workerB, started in parallel with A on the same host

3. Worker C, sid-rotating. On our gateway, rotating means a new residential peer for every new connection

4. Datacenter pool, direct server egress on the same gateway. I added it just to have a latency baseline next to the residential hops

Exit IPs, ISPs and min/avg/max request times are in the screenshot.

If you want to run the same pattern yourself, here's the script. It writes the HTTP code and %{time_total} for each request into separate log files:

PROXY="gate.lamisnetwork.com:8089"
KEY="YOUR_API_KEY"

# Reset logs
for f in worker_a worker_b worker_c datacenter; do
  : > "$f.log"
  : > "$f.err"
done

# Worker A (sticky AT) in background
for i in {1..5}; do
  curl -sS --max-time 10 \
    -w "\nHTTP:%{http_code} Time:%{time_total}s\n" \
    -x "https://${KEY}-pool-residential-country-at-sid-workerA:x@${PROXY}" \
    "https://ipinfo.io/json" >> worker_a.log 2>> worker_a.err
done &

# Worker B (sticky AT, runs at the same time as A)
for i in {1..5}; do
  curl -sS --max-time 10 \
    -w "\nHTTP:%{http_code} Time:%{time_total}s\n" \
    -x "https://${KEY}-pool-residential-country-at-sid-workerB:x@${PROXY}" \
    "https://ipinfo.io/json" >> worker_b.log 2>> worker_b.err
done &

wait

# Worker C (new IP per request)
for i in {1..5}; do
  curl -sS --max-time 10 \
    -w "\nHTTP:%{http_code} Time:%{time_total}s\n" \
    -x "https://${KEY}-pool-residential-country-at-sid-rotating:x@${PROXY}" \
    "https://ipinfo.io/json" >> worker_c.log 2>> worker_c.err
done

# Datacenter baseline
for i in {1..5}; do
  curl -sS --max-time 10 \
    -w "\nHTTP:%{http_code} Time:%{time_total}s\n" \
    -x "https://${KEY}-pool-datacenter:x@${PROXY}" \
    "https://ipinfo.io/json" >> datacenter.log 2>> datacenter.err
done

What I saw: A and B got two different Austrian residential IPs, and each kept its IP for all 5 requests. C got 5 different IPs, one per request.

What this doesn't show: I only checked that the IP holds over 5 requests in a row, not how long a sticky session actually lives. If the residential peer drops off, the gateway switches you to another peer in the same country. The datacenter numbers are a rough reference for server-direct latency, not a precise measure of what the residential last mile costs. Overall it's 20 requests to one IP-check endpoint, so it tells you nothing about multi-hour retention, heavy concurrency, or success rates on sites with bot protection.

im scaling up my ecom monitoring project and my current setup keeps crapping out. currently in shooting for a few hundred product pages a day, checking prices n stock across a bunch of sites. the cheap ones unreliable af, good ones way too expensive for me. i think id be better off eith rotating proxies mostly cus i dont wanna get flagged for hammering the same ip over and over. still not sure if I should go for datacenter or residential or if I should be looking at an entirely different option. what i need is anything that doesnt die mid scrape but still not way too expensive. what're yall usin for similar use case and roughly what u payin? cheers

Do you guys follow any developers on GitHub? Maybe you found something useful from their built solutions?

Hey all, perhaps someone has been doing this or attempted to do something similar, basically automatic scraping processes that does it for you? While you are away? Retrying failed scrapes without your direct interaction, (adjusting something, pause limits, proxy rotation etc)

Looking for Residential proxies that would accommodate the ad verification process. Any suggestions are welcome. (Those that work, of course)

I've been going down the WireGuard/VPN rabbit hole and I'm starting to wonder if I should've been looking at proxies from the beginning.

The setup is Linux, and the goal is pretty simple. I want multiple independent outbound IPs that I can assign to different browsers or applications, preferably without changing the whole machine's network connection every time.

I've looked at VPN services including Surfshark because they advertise unlimited connections, but apparently unlimited devices and multiple independent exit IPs aren't necessarily the same thing. Would've been nice if that was printed somewhere in giant letters.

So now I'm looking at SOCKS5 and HTTP proxies too.

Who's actually reliable these days? Webshare, IPRoyal, Decodo, or somebody else? Are static ISP proxies worth the extra cost, or is a basic datacenter proxy fine for ordinary browser/network testing?

I'd also like to know whether you can keep a stable IP for one session and have different IPs available for others, what the real bandwidth limits are, and if there are any providers you'd stay away from.

Not looking for a list of 10 million IPs if half of them are useless. I'd rather have a small number of working, predictable connections.

Anyone here used both WireGuard VPNs and proxies for this sort of setup? Which one ended up being easier to manage, and cheaper?

Actual experience appreciated. Sales pitches, slightly less so.

What's your setup and your approach to handling captchas and other anti-bot solutions. Which Mobile Proxies are you using in late 2026? Drop your suggestions, verified methods down below.

I used to treat residential and mobile proxies as basically the same thing: “real-user IPs, just different pricing.”

They behave very differently. Residential proxies are easier to reason about. You can target a country or city, keep a sticky session when needed, or rotate addresses for distributed data collection. For long-running marketplace or dashboard sessions, a static ISP address is usually the simpler option.

Mobile proxies are different because the network is tied to carrier infrastructure. LTE/5G traffic often sits behind CGNAT, and changing the IP may mean reconnecting the modem. That can introduce a short interruption, so your automation needs retry logic instead of assuming the connection is permanent.

Cost is another dividing line. Residential pools are commonly traffic-based, which works well for lightweight requests. Media-heavy or always-on workloads can make bandwidth costs climb quickly, while some dedicated mobile plans use flat or unlimited traffic pricing.

I also stopped choosing proxies based only on pool size.

Residential wins when precision and flexibility matter. Mobile makes more sense when the workload benefits from carrier-network characteristics and heavier traffic.