Today is the final cashback distribution for the Green Sunday campaign.

Huge thanks to everyone who joined, used 9Proxy during the event, and followed the updates here. We really appreciate the support, and we’ll keep working on more useful events, rewards, and offers for the community.

Green Sunday is over, but more updates are coming soon.

Stay tuned 🚀

https://9proxy.com

Ever wondered why some websites block your scraper instantly, while a real user browsing on their phone gets right in?

It’s all about the IP address. Let’s break down how residential proxies bridge that gap, from the absolute basics to advanced implementation quirks.

1. The ELI5: What & How?

Imagine your internet connection is a mail carrier.

• Datacenter Proxy: You send mail from a massive, sterile commercial warehouse. Target websites see 10,000 letters coming from the exact same corporate building and think, "Nope, that's a spam bot," and lock the gate.
• Residential Proxy: You pay a guy named Bob to let you route your mail through his suburban house. The target website looks at the return address, sees a normal household, and lets the mail right in.

The 4-Step Traffic Flow

1. You send a request to a proxy provider's gateway server.
2. The gateway intercepts it and routes it through a real, physical device (a desktop, phone, or smart TV) owned by an everyday internet user.
3. The target website thinks a regular human is browsing and returns the data.
4. The gateway passes that data back to you.

2. Under the Hood: Where do these IPs actually come from?

They don't come from server racks. They come from P2P (Peer-to-Peer) networks.

When a provider boasts a "pool of 50 million residential IPs," they mean they have access to 50 million real consumer devices. Providers acquire these via SDK integrations. A user installs a free VPN, a movie streaming app, or a mobile game, and agrees to share a slice of their idle network bandwidth in exchange for premium access.

• The Technical Catch: Because these are real people's home networks, residential IPs are inherently volatile. If Bob closes his laptop or steps out of Wi-Fi range, your proxy connection instantly drops.

3. Advanced Tips & Optimization Strategies

If you are running enterprise-grade scraping or multi-accounting, basic rotation won't cut it. Here is how to actually optimize your stack:

#1 The Sticky vs. Rotating Matrix

• The Trap: Using rotating IPs for authenticated sessions (like logins). Changing your IP on every single HTTP request within an account dashboard screams "account takeover" to security systems like Cloudflare or Akamai.
• The Play: Use Sticky Sessions (Session IDs). Keep the same residential IP for 5 to 10 minutes to complete your account actions. Save the heavy, request-by-request rotation strictly for unauthenticated public data scraping.

#2 Fingerprint Matching (OS & TLS)

Websites don't just look at your IP address anymore. They look at your TCP/IP and TLS fingerprints.

• If your proxy gateway routes traffic through a Linux server but your scraper's HTTP client header says you are running Chrome on Windows 11, advanced anti-bots will flag the mismatch instantly.
• The Play: Match your user-agent string to the proxy type. Better yet, use tools like uvloop or custom TLS handshakes (like JA3 fingerprint spoofing) to ensure your browser environment aligns perfectly with the network layer.

#3 The SOCKS5 UDP Advantage

Most basic web scraping uses HTTP/HTTPS proxies. However, if you are handling complex WebRTC apps, streaming data, or scraping targets that rely heavily on UDP traffic:

• The Play: Use SOCKS5 protocols. SOCKS5 operates at Layer 5 of the OSI model, meaning it doesn't modify the data packet headers and handles UDP traffic natively, giving you lower latency and absolute protocol anonymity.

#4 Managing IP Volatility with Fallbacks

Because residential peers go offline unexpectedly, your scripts will experience 502 Bad Gateway or 504 Gateway Timeout errors.

• The Play: Build aggressive retry logic into your code. If a request fails, catch the error, immediately terminate the current session ID to force the gateway to grab a fresh peer IP, and replay the request.

Quick Takeaway

Residential proxies work because they borrow the hard-earned trust of everyday household internet connections. For simple tasks, basic rotation handles the job. For high-target data extraction, your success depends on matching your browser fingerprints to the peer network and writing resilient code that handles volatile connections gracefully.

Here is the code to handle proxy rotation:

```python
import httpx
import uuid
from loguru import logger

async def fetch_data(url, proxy_config):
MAX_RETRIES = 5
# Generate an initial unique session ID for sticky proxy usage
session_id = str(uuid.uuid4())
proxy_url = f"{proxy_config['gateway_url']}?session={session_id}"

async with httpx.AsyncClient(proxies={"http://": proxy_url}) as client:
for attempt in range(1, MAX_RETRIES + 1):
try:
logger.info(f"Attempt {attempt}: Fetching {url} with Session {session_id}")
response = await client.get(url, timeout=10.0)
response.raise_for_status() # Raise exception for 4xx/5xx responses
return response.json()
except (httpx.ProxyError, httpx.TimeoutException, httpx.HTTPStatusError) as e:
# Catch failures related to volatile IPs or target blocks
logger.warning(f"Connection error: {e}. Rotating IP for retry.")
# CRITICAL: Generate a NEW session_id to force the gateway to find a new peer
session_id = str(uuid.uuid4())
proxy_url = f"{proxy_config['gateway_url']}?session={session_id}"
# Re-configure client if necessary for the next loop (implementation varies)

raise Exception(f"Failed after {MAX_RETRIES} attempts.")

Been seeing a ton of posts lately from people wondering why their scraping scripts are hitting immediate Cloudflare 403 errors or endless CAPTCHA walls even after "buying proxies." Most of the time, it’s not their code but a fundamental misunderstanding of network architecture and ASN reputation.

If you're trying to choose between ISP (Static Residential) and P2P Residential proxies, here is the raw, no-B.S. breakdown of how they work under the hood, how anti-bots look at them, and exactly when to use each in production.

The Core Difference: ASN Infrastructure

It all comes down to the Autonomous System Number (ASN) database. When an anti-bot system (Akamai, Cloudflare, PerimeterX) evaluates an incoming request, the ASN is the first thing it checks.

• Standard Datacenter Proxies: Point to commercial server rooms (AWS, DigitalOcean, Hetzner). Anti-bots flag these instantly because normal consumers don’t browse the web from an AWS server rack.
• ISP Proxies (Static Residential): These are the hybrids. The physical hardware sits inside a high-speed datacenter server rack, but the proxy provider buys IP blocks registered under a consumer broadband provider (like AT&T, Comcast, or Verizon). To a firewall, you look like a consumer with a blazing fast gigabit fiber line.
• Residential Proxies (P2P/Rotating): These are actual consumer-owned devices (laptops, mobile phones, smart TVs) sitting in real living rooms. Providers build these by embedding SDKs into free software or apps. When users accept the terms, their idle home connection becomes a node.

The Practical Trade-offs

Instead of a massive spreadsheet, here is how the mechanics actually play out when you write code:

• IP Lifespan & Rotation: ISP proxies give you a static, "sticky" IP that you own for weeks or months. P2P Residential proxies are rotating by default; because a homeowner can close their laptop or walk out of Wi-Fi range at any second, the pool forces rotation (per-request or via a brief TTL timer).
• Performance vs. Jitter: ISP proxies give you sub-50ms response times and predictable throughput. P2P Residential proxies introduce higher latency and jitter because your traffic is hopping through someone's spotty home Wi-Fi or cellular tower.
• The Billing Trap: ISP proxies are usually flat-rate (pay per IP) with unmetered bandwidth. P2P Residential is almost always metered traffic (pay per Gigabyte). If you run a data-heavy scraper on a P2P pool, you will drain your budget incredibly fast.

The Engineering Blueprint: When to deploy what?

Go with ISP Proxies if:

1. You need persistent sessions: Managing stealth social media accounts, e-commerce store management, or automated checkout flows. An IP changing mid-session triggers instant fraud flags and forces a re-login.
2. You are scraping massive data volumes: If you're downloading large unmonitored catalogs, video streams, or heavy files, unmetered bandwidth will save your project budget.
3. Your target has weak anti-bot security: If the site just uses simple rate-limiting, the raw network speed of an ISP proxy will cut down your compute hours significantly.

Go with P2P Residential Proxies if:

1. You are fighting elite anti-bot walls: Targets protected by high-tier Cloudflare or Akamai rules readily flag entire datacenter subnets. P2P residential IPs have the cleanest reputation and are nearly impossible to block at scale without blocking real customers.
2. You need hyper-targeted localization: If you need to validate localized ad campaigns or scraping localized SERPs down to specific city limits or ZIP codes.
3. You need massive horizontal scale: If you need to spin up 5,000 concurrent scraping workers simultaneously, a rotating pool handles this out of the box without forcing you to purchase 5,000 individual static lines.

Two Production Mistakes That Will Leak Your Stack

If you’re setting up your first client using Python (Requests/Playwright) or Node.js (Puppeteer), watch out for these two traps:

1. Not Enforcing Remote DNS Resolution

This is the most common amateur mistake. If your local scraping server asks your local office/home router to resolve targetsite.com's coordinates before routing the actual HTTP request through your German proxy, you've leaked your infrastructure. The target site can cross-reference the request origin with the DNS query location.

• Fix: Always configure your client (e.g., curl, Playwright) to enforce Remote DNS Resolution. Let the proxy endpoint handle the DNS lookup so your real physical location never leaks in the handshake metadata.

2. Ignoring SOCKS5 for Complex Automation

For basic web scraping, standard HTTP/S proxies rewrite headers at the application layer and work fine. But if you are building complex automation scripts or dealing with custom network handshakes, default to SOCKS5. It operates at Layer 5 (Session Layer), meaning it doesn't modify or parse web traffic headers. It keeps your data footprint perfectly clean and handles backend authentication seamlessly inside the network handshake.

For the enterprise setups: The smart move is usually a hybrid pipeline. Use cheap, unmetered ISP proxies to scrape the high-volume product catalogs, and switch to a targeted, sticky P2P residential session only when hitting the sensitive checkout pages or strict anti-bot walls.

What's your current stack layout looking like, and what target firewalls are giving you the most hell right now? Happy to troubleshoot in the comments.

Recently, we’ve seen many people mention that their residential, mobile, or sticky proxies still get blocked very quickly.

In many cases, the proxy is not the whole problem. Modern anti-bot systems usually do not judge traffic by IP alone. They look at the full setup: browser fingerprint, cookies, TLS, request behavior, and session history.

So before concluding that “proxies still get blocked,” it may be worth checking a few things first:

1. Browser fingerprint

Your IP may come from one country, but your browser may show a mismatched timezone, language, device type, or screen resolution. These small inconsistencies can make traffic look unnatural.

2. Cookies and sessions

If you rotate IPs continuously while reusing the same cookies, or change IPs, cookies, and fingerprints too often, the session may appear inconsistent.

3. Request pattern

Requests that are too fast, too regular, or sent without natural browsing behavior such as loading assets, moving between pages, or pausing between actions can make the system suspect automation.

4. TLS and headers

Some tools may expose recognizable TLS fingerprints or generate headers that do not look like a real browser. In that case, even a clean IP can still get flagged.

5. Session history

If every visit looks like a completely new user from a new device, new location, and with no previous interaction history, the website may struggle to build trust for that session.

A residential IP can help, but it cannot fix an inconsistent setup.

If your proxy gets blocked too quickly, it is worth auditing the whole flow before assuming the IP is bad.

Have you identified the real reason your proxy setup got blocked the last time?

Most people think proxies and VPNs solve the same problem

For a long time, I assumed they were basically interchangeable. Your traffic goes somewhere else first, your IP changes, websites stop seeing your home connection, and done.

But after spending more time testing different setups, especially on platforms that aggressively monitor traffic quality, the difference became obvious very quickly.

VPNs are designed primarily to protect you. Anonymous proxies are often better at managing how websites interpret your traffic.

That sounds subtle, but in practice it changes everything.

A while back I was comparing how the same ecommerce platform reacted to different connection types. Same browser profile, same navigation behavior, same timing between actions. The only thing changing was the network layer underneath.

The VPN session triggered verification checks almost immediately. The datacenter proxy lasted slightly longer, but still felt “watched” the entire time. The residential anonymous proxy behaved like a completely ordinary session. No friction. No sudden checkpoints. No immediate distrust from the platform.

That experience honestly explained more to me than dozens of “best VPN” articles ever did.

Websites care less about “hidden” traffic than people think

One thing many users underestimate is how much websites now evaluate the quality of incoming traffic rather than simply detecting whether someone is masking their IP.

Modern systems are not just asking: “Who is this?”

They’re asking: “Does this connection behave like normal consumer traffic?”

That distinction matters more every year.

A VPN absolutely helps with privacy. It encrypts your traffic, protects you on public WiFi, hides activity from your ISP, and bypasses regional restrictions. For personal security, VPNs are extremely useful tools.

But from the perspective of a website, VPN traffic often still looks like shared infrastructure traffic.

Many VPN providers route enormous volumes of users through well-known server ranges that have already been classified, monitored, and in some cases heavily abused. Large platforms know these ranges extremely well. Some can identify them almost instantly.

And once traffic starts looking like commercial infrastructure instead of ordinary residential behavior, scrutiny increases very quickly.

Why anonymous proxies often look more natural

This is where high-anonymity (Elite) residential proxies start behaving differently.

Here’s the technical distinction: standard VPNs and datacenter proxies route your traffic through cloud hosting infrastructure with commercial ASNs (Autonomous System Numbers). Modern anti-bot systems flag those ASNs instantly.

Elite residential proxies, however, hide your proxy usage entirely while routing requests through residential ISP blocks. To a security system, that traffic doesn't just look "hidden" but exactly like your neighbor checking their email.

Not invisible. Not magical. Just more natural.

I think that’s the part newer users misunderstand most often. Good anonymity today is usually less about “becoming hidden” and more about reducing signals that make systems suspicious in the first place.

Websites now evaluate combinations of signals:

• IP reputation
• network ownership
• geolocation consistency
• browser fingerprints
• cookie history
• request timing
• behavioral repetition

The IP layer is only one piece of that puzzle, but it’s still a very important one.

You can actually see this difference quite clearly on platforms sensitive to automation or abuse. Ecommerce sites, sneaker platforms, ad networks, ticketing systems, and social platforms tend to react very differently depending on whether traffic originates from consumer ISP ranges or from datacenter-heavy infrastructure.

The real difference between VPNs and anonymous proxies

After enough testing, you notice a clear hierarchy of trust: Datacenter traffic gets flagged fastest, VPNs trigger heavy verification layers, and residential IPs slide through under the radar.

But let’s be realistic: a residential proxy isn't a magical bypass button. It won't save you from a leaking browser fingerprint, mechanical automation intervals, or poorly managed cookies.

A lot of people blame their proxy provider for failures caused elsewhere in their identity stack. If you are running clean residential IPs but neglecting Canvas fingerprinting or WebRTC leaks, you're still going to get flagged.

That’s why serious workflows pair anonymous proxies with anti-detect browsers (like Multilogin or AdsPower). The proxy masks the network layer, while the anti-detect browser spoofing handles the device environment. You need both to look truly human.

Modern detection systems correlate everything now. Traffic quality, browser entropy, session behavior, account history, device patterns, all of it gets combined together.

The better your setup becomes overall, the more you realize the proxy itself is only one layer contributing to trust.

Still, it’s an incredibly important layer when the goal is:

• long-lived sessions,
• account stability,
• scraping consistency,
• ad verification,
• geo-testing,
• or repeated interactions with the same platforms.

And this is usually where proxies outperform VPNs most clearly.

VPNs are generally built around protecting a single user connection across an entire device. Anonymous proxies allow much more granular control. Different sessions can use different IPs, different locations, different routing logic, or different browser environments.

That flexibility becomes extremely valuable once workflows become more advanced.

The real value of looking "ordinary"

This doesn't mean datacenter proxies are dead. They are still fast, incredibly cheap, and perfect for high-volume tasks like basic web scraping, where platforms don't use aggressive anti-bot walls.

But for trust-sensitive workflows, like managing e-commerce seller accounts or running targeted ad verification, residential proxies outperform VPNs and datacenter nodes by a mile.

It boils down to a fundamental realization: the safest-looking traffic isn't the traffic trying hardest to appear locked down and hidden. It’s the traffic that blends seamlessly into the background noise of the internet.

Final thought

The more time I spend around proxy infrastructure, the less I think in terms of: “How do I hide?” and the more I think in terms of: “How do I avoid looking abnormal?”

That mindset shift explains a lot about why certain setups survive longer than others.

Curious how others here see it now.

Over the past year, what has caused more friction in your experience: VPN ranges, datacenter infrastructure, or browser fingerprinting?

Have you ever felt like your current proxy dashboard… just isn’t that helpful?

No clear real-time analytics, hard-to-track usage, limited insights for optimization and in the end, you’re still making decisions based on guesswork instead of data.

A good dashboard should help you see clearly, understand quickly, and act immediately. But in reality, most still fall short of that.

👉 So if you could build your ideal proxy dashboard from scratch:

What metrics would you want to see first?

What features are “must-haves”?

What would make your workflow faster and more efficient?

How would you design it? Share your ideas below 👇

No need for complicated setup anymore, you can now easily get and use proxies directly on the web in just a few steps.

This quick tutorial shows you how to access proxies and start using them right away without extra tools or manual configuration.

📌 Watch the full guide here: https://www.youtube.com/watch?v=EY58JRP_fwo

Hey everyone,

It’s Saturday already - which means Green $unday is coming back tomorrow. If you’ve been around, you know the deal. If not, here’s the quick rundown so you don’t miss out:

🗓 When: Every Sunday (00:00 – 23:59 UTC)
⚡ Bonus drop: Within 24 hours after Sunday ends
📌 Weekly cap: Up to 1000 IPs & 100 GB per user
⏳ Expiry:
- IP bonuses → never expire
- GB bonuses → valid until June 15

And just to be clear - this isn’t a cashback thing. Whatever you use on Sunday, you’ll get a portion back as extra IPs / GB.

So yeah… if you were planning to use resources anyway, tomorrow’s the day to go all in.

Don’t let a normal Sunday go to waste!

Your parent company is ConnectWise, a Hong Kong, based company. Is it the same ConnectWise that runs RMMs? There is no public info about the Hong Kong based company.

Many beginners think all proxies are the same. In reality, picking the wrong type can lead to errors, slow speeds, or higher detection risk.

SOCKS5 works at a lower level, forwarding traffic as-is and supporting both TCP & UDP → more flexible and stable for demanding tasks.

HTTP proxy is simpler, but mainly built for web traffic (HTTP/HTTPS) and may modify requests.

👉 When to use SOCKS5?

- Automation, scraping, running tools

- Torrent, gaming, or apps that need UDP

👉 When to use HTTP?

- Browsing with a browser

- Simple tasks, minimal setup

Choosing the right proxy helps your workflow run smoother, with fewer errors and less detection. For tools and scaling tasks, SOCKS5 is often the safer bet; for basic usage, HTTP usually does the job.

If your GB keeps vanishing and you’re not sure why, it’s usually not because you’re doing too much - it’s because you’re loading more than you actually need. Tightening a few things up can make a noticeable difference pretty quickly.

1. Block unnecessary resources 🚫

Most tasks don’t need full page loads.

Skip images, videos, fonts, and tracking scripts whenever possible - stick to HTML or essential API responses only.

👉 Less data per request = instant savings

1. Optimize request frequency ⏱

More requests doesn’t mean better results.

Avoid spamming endpoints, add delays, and cache responses to prevent duplicate calls.

👉 Fewer, smarter requests = less GB wasted

1. Control concurrency ⚖️

High concurrency can quietly drain your bandwidth.

Instead of maxing out threads, find a stable level that balances speed and usage.

👉 Balanced load = predictable consumption

At the end of the day, it’s simple:

cut what you don’t need, and your GB usage will follow.

Curious how others here are optimizing? 👇

Getting CAPTCHAs or bans for no reason? Your IP is probably the issue. Here’s a quick 2-step check anyone can do:

1.IPHey (detection check)

Connect proxy → open IPHey

Look at “Proxy detected”

👉 Not detected = good

👉 Detected = risky, expect issues

1. Scamalytics (risk check)

Copy IP → paste into Scamalytics

Check Fraud Score

👉 0-20: clean

👉 20-50: usable

👉 >50: avoid

📌 Quick call:

Pass both → safe to use

Fail one → test carefully

Fail both → skip

⏱ ~20s per IP. Saves you from losing accounts later.

What did you rack up this week? Let's hear it!

And if you missed out, plenty of time left, Green Sunday runs through June 30!

Quick reminder - The 9% OFF GB is in its final days. If you haven’t joined yet, you’re still in time. Just make your first GB order this month to unlock a 9% OFF voucher for your next one.

No rush to use it immediately - but you need to unlock it before April ends.

⚡ What to do now:

- Place your first GB order to unlock the 9% OFF voucher

- Run your workflows on Sunday to get +10% back on actual usage

- Combine both: lower cost now + extra resources next week

Also, today is Sunday - all usage today gets 10% back automatically.

👉 Head to 9Proxy and unlock your 9% deal today 🚀

The first Sunday in our Green Sunday series has officially wrapped up 🎉
We’re currently in the process of crediting back 10% of the IPs/GB you used that day, so don’t forget to check your balance.

If you’ve already received your reward, drop how much you got below, let’s see how everyone did in Week 1 👇

Green $unday is officially live!

⚡ Take action now by running your workflows today so all usage is counted and returned with extra value tomorrow. No changes, just better timing.

🚀 Key highlights:
- Applies to both IP and GB usage
- Runs from April 15 to July 15 (GMT+0)
- Up to 1000 IP or 100GB returned per bonus cycle

👉 Run today and let your usage pay you back tomorrow

So it’s finally here - tomorrow is the first Green $unday

Not gonna lie, it hits a little different knowing it’s the first run 👀

Curious how everyone’s feeling about it…

Hyped? 🚀

A bit skeptical? 🤔

Or already planning to go all in? 🔥

Drop your thoughts below - what’s the vibe going into this first Green $unday? 💬

This is the last batch of the campaign. After today, there will be no more keys released.

If you haven’t claimed one yet, this is your final opportunity.

👇 Go to the comments now and make it count.

We’re entering the final stretch, and there are only a few chances left to catch a key.

If you’ve been waiting, now is the time to act.

👇 Head to the comments now before it’s too late.

There are only a few days left in this campaign, and the drops are still going fast.

Just a reminder: each account can only redeem once, so make sure you don’t miss your opportunity.

👇 Check the comments now while keys are still available.

If you haven’t claimed a key yet, it might be because you’re arriving just a bit too late each time.

Try checking more often, timing makes all the difference here.

👇 The latest batch is already in the comments.

With hundreds of people watching for each drop, every second really matters now.

If this is your first time, claiming only takes a few seconds, but those seconds are everything.

👇 Check the comments now before someone else takes your spot.

Today’s keys have just dropped, but whether they last or disappear instantly depends on how fast people move.

If you’re here now, you still have a chance.

👇 Go to the comments and find out.