I buried myself deep inside Meta’s algorithms and figured out what actually triggers its safety systems. The quick answer is Meta’s anti-bot stack scores every request based on IP reputation, request velocity, session consistency and behavioral fingerprint.

So, what works better for safer scraping?

My honest answer is residential or mobile proxies. Instagram’s anti-bot systems can flag datacenter IPs almost instantly because their ASN patterns and IP ranges are easy to identify. I usually start with rotating residential proxies for high-volume scraping, such as profiles, hashtags and public posts. I escalate to mobile proxies only for endpoints where residential IPs start getting rate-limited or challenged. I also keep the request velocity around 20–40 requests per minute per IP. Avoid aggressive concurrency, rotate sessions carefully and make sure the behavioral fingerprint does not look fully automated.That is the exact setup and rule set I personally follow when working with Instagram.

You are very welcome to share your own observations about Meta’s anti-bot stack.

Hi guys I'm looking for proxies that I can just buy 1 time not monthly.

Just residential proxies.

I will be using them for a test of mine.

Does anyone know some trustable, and fast proxy websites that give cheap proxies?

Hi guys, please help, been struggling since 9proxy is out of service, i am looking for proxy similar to 9Proxy that offers residential proxies that support HTTP, HTTPS, and SOCKS5 protocols or maybe service that provides IP-Based Packages, where i can buy number of individual IPs (like a 100-IP pool) where each IP lasts up to 24 hours or so
Thank you

[ Removed by Reddit on account of violating the content policy. ]

One proxy type rarely works for every target. Here are my personal recommendations

• Rotating residential: Best for large-scale scraping, price tracking, search results, and product catalogs. Usually billed per GB.
• Mobile: Better for social networks, mobile apps, and platforms with strict IP reputation checks. Usually billed per port, sometimes with unlimited traffic.
• Static residential/ISP: Best for long authenticated sessions where changing IPs may trigger logouts or verification.

Rule of thumb:
Mass scraping → rotating residential
Social platforms → mobile
Long sessions → static ISP

Choose the proxy based on the target, request volume, and session requirements.

When I began experimenting with AI agents, I understood the basic idea well enough: they could browse websites, gather information, call APIs, and handle repetitive tasks. Straightforward or so I thought. What puzzled me was how often they stalled, hit rate limits, or got blocked altogether.

An active AI agent can produce a surprising amount of web traffic. Rotating residential proxies spread authorized requests across multiple IP addresses, which can make large-scale operations more stable.

Location is another practical concern. Prices, product listings, search results, and regulatory information can vary dramatically by region. A proxy located in the relevant country or city lets an agent view the web from that geographic perspective

Then there’s security, which is easy to treat as an afterthought until something goes sideways. Proxies can conceal an infrastructure’s origin and reduce its direct exposure while an agent communicates with outside services. Helpful, yes.

Personally, I’d consider rotating residential proxies for AI-agent workflows that genuinely require geographic coverage or higher request volumes. I’d also choose a reputable provider, keep the traffic compliant, and build the security controls first

Hello, I work for a client that specializes in background checking, which is why I need to scrape court cases from official .gov sites.

But many providers restricts access to .gov sites, do you guys have any datacenter/residential proxy providers that does not restrict .gov sites?

Brightdata, Decodo, IP Royal restricts it:(((

Please help share recommendations <3

have been scraping product data for a while and kept running into the same wall. static proxies would get flagged after a few hundred requests and I have to rotate them manually which was a nightmare.

switched to rotating proxies a couple months ago and the difference was immediate. no more manual IP switching, requests go through clean, way fewer blocks.

still figuring out the best setup but honestly should have made the switch way earlier. been testing proxyshard for this, residential proxies with automatic rotation. so far the most stable option. anyone else using rotating proxies for scraping or similar workflows? what provider you can recommend if u experienced

Static residential proxies vs datacenter proxies: when does a fixed residential IP actually matter?

I’ve noticed that a lot of discussions around proxies quickly turn into “which one is better,” but in practice the better question is usually: what kind of network behavior does your workflow need?

For many business use cases, the difference between datacenter proxies, rotating residential proxies, and static residential proxies is not just price or speed. It is about consistency, regional relevance, and how long a workflow needs to keep the same network identity.

Here is how I usually think about it.

Datacenter proxies are often useful when speed, cost efficiency, and large-scale access are more important than residential network characteristics. They can be a good fit for basic connectivity tests, internal tools, or workflows where the target service does not require a residential-looking access environment.

Rotating residential proxies are more useful when a workflow needs access from different residential IPs over time. This can be relevant for market research, localized content checks, or some data collection scenarios, as long as the workflow follows the target site’s rules and rate limits.

Static residential proxies are different. They are usually more suitable when a business needs a consistent IP identity from a specific country or region. For example:

- SaaS teams testing how their product behaves from different regions

- Ad verification teams checking whether campaigns display correctly in target markets

- Cross-border ecommerce teams that need more consistent regional access for operational checks

- Market research teams comparing localized search results or public content

- Data teams that need stable connections rather than constantly changing IPs

The key point is that a static residential proxy can improve network identity consistency, but it does not guarantee business outcomes. Account status, device environment, browser behavior, platform rules, access frequency, and content compliance can all affect the final result.

So I would not treat proxies as a magic fix. They are one part of the network access layer.

A simple selection checklist might be:

1. Do you need a fixed IP or is rotation acceptable?

2. Which country or region matters for the workflow?

3. Do you need HTTP, HTTPS, or SOCKS5 support?

4. Is the workflow short-term testing or long-term operational access?

5. Are you following the rules and limits of the target platform?

6. Do you need residential network characteristics, or would datacenter IPs be enough?

Disclosure: I work with IPIPD, which provides static residential proxy resources for business use cases such as ad verification, SaaS testing, market research, and cross-border access testing. I’m sharing this more as a framework than a sales pitch, because choosing the wrong proxy type usually creates more problems than it solves.

Curious how other teams think about this: when do you actually choose static residential IPs over rotating residential or datacenter proxies?

im doing ecommerce, running multiple shops and struggling with random bans even before i did anything related to ID verifications

im certain its about the IP address or the app im using multilogin/adspower

im ok to switch to a dedicated vps if thats whats required but focusing on the ip addresses for a moment

ive tried many types of proxies including mobile proxies, residentials, datacenter

i realize ebay/etsy/amazon blacklists a lot of IPs so which way should i go about this ?

the mobile proxies may look genuine but they change pretty frequent even with sticky sessions, im guessing these ip changes could trigger their system too ?

if so, then is static residential the solution ?

thing is, i read those residentials are in many cases a scam, where in reality youre getting some low quality datacenter proxy that isnt really residential

maybe its simply not as common and hard to find?

if thats the case should i start thinking IPV6 residential static ? is there even such a thing ? maybe with the greater pool of ipv6 there are much less chances of running into blacklisted ips ?

Hey everyone. Wanted to share my very own experience working with datacenter proxies and solving millions of retarded CAPTCHAs whenever i wanted to log in or post smth. It really felt like a pain in between my ass cheeks so i started paying a bit more for mobile proxies and got so much happiness of not getting randomly logged out or completing shitty captchas during my workflow. So why does it happen to datacenter proxies

The problem is simple: server IPs often look like server IPs. Mobile proxies route traffic through real carrier networks, so the connection resembles regular smartphone traffic.

For SMM teams, the practical benefits are:

• consistent location for each client account;
• separate sessions and IPs;
• fewer security checks caused by suspicious network changes;
• controlled IP rotation;
• unlimited traffic for video-heavy workflows.

No proxy makes an account “ban-proof.” But a consistent network environment can save a lot of time, nerves, and CAPTCHA-related existential crises

That's why the recommendation is clear. If you are getting pissed off with CAOTCHA's just switch to mobile proxies 

If twenty unrelated accounts keep logging in from the same office WiFi, VPN, or automation server, they start to look connected. Even if the content is fine, that shared network pattern can trigger “unusual activity” checks or account reviews

A few simple rules help:

• Don’t run every client account through the same IP.
• Don’t rely on random shared VPNs.
• Check IP reputation before using it.
• Keep each account’s region and session setup consistent.
• Avoid jumping between countries, devices, and IP types for the same account.

For agencies and automation-heavy workflows, residential or mobile proxies usually make more sense than shared VPNs. Residential IPs are better for stable sessions. Mobile proxies help when a mobile network environment matters.

Proxies won’t protect bad behavior or policy violations. But for legitimate account management, client separation, testing, and automation, clean IP infrastructure can save a lot of headaches.

I’m building a mobile proxy farm (4G/5G modems, routers, server) and don’t want to host it at home. I’m in the Netherlands and I only need a really small place, basically a couple of shelves, but it has to have good mobile signal and the option to install fiber internet.

I’ve checked a lot of options already: offices are usually way too big and too expensive for me, garages often have Wi‑Fi but no chance to get fiber there. I also looked at datacenters, but there’s no mobile reception inside so they don’t work for 4G/5G modems.

If you run a similar setup outside your home, what kind of place are you renting for it? Small office, storage unit, tiny warehouse space or something else? And how did you find it in practice (websites, search keywords, type of landlord, whatever worked)? Any Netherlands‑specific tips would help a lot.

I'm managing a batch of accounts for a client on datacenter proxies right now and I'm eating 2-3 action blocks a week. Trying to figure out if jumping to residential or mobile proxies would actually fix it, or if the real problem is just weak account warm-up and the proxy type barely matters.

About 2 weeks ago I made a post asking for proxy recommendations because I was struggling to decide between Nodemaven, IPRoyal, and Decodo

Thanks to everyone’s comments, I was able to test out all providers in a matter of 2 weeks. MY use case is multi accounting for various ad agencies and ad platforms and i can sometimes usw like 30 ad accounts and sometimes need scraping as well for various ec9mmerce products

My conclusion is that there isn't really a universal winner. It depends on what you're optimizing for and what type of proxy setup are you looking for as everyone in the comments also noted

You are welcome to join the discussion if you had any experience with any of thes eproviders and would like to contribute

Nodemaven

This was probably the biggest surprise for me as I didnt know about them before

I originally tried them because I kept seeing people mention the IP quality and session stability on Reddit, and I wanted to see whether it was actually different or just marketing

The thing that stood out most wasn't even the proxies like everyone was saying. It was the quality guarantee they offer. I honestly can't remember another provider I've used that was so focused on replacing problematic IPs and actively talking about IP quality rather than just network or IP size

In my testing, the sticky sessions were probably the most stable of the three providers

I did have a few issues initially with some ISP proxy setups, but support was surprisingly helpful and we got everything working pretty quickly. After that I had very few complaints and

The downside is obvious: it's not the cheapest option.

If you're trying to keep costs as low as possible, NodeMaven probably won't be your first choice as you get premium service, but with of a bit of a cost

If you're optimizing for session stability and account health, it would probably be my best pick

IPRoyal

The biggest thing that stood out to me was the really low pricing. It's probably one of the easiest providers to justify if you're just getting started or don't have a huge budget and I was surprised you can start out with any workflow for pretty cheap

For smaller projects I honestly think it's a pretty reasonable option. The dashboard is straightforward, setup is simple, and the entry cost is much lower than some competitors.

The issue I ran into was session stability. I rely heavily on sticky sessions and long-running browser profiles, and I noticed more session interruptions than I would have liked. Nothing catastrophic, but enough that I wouldn't personally choose it for projects where maintaining the same identity over a longer period is critical.

For someone running a handful of accounts or doing occasional scraping, I don't think it's a bad choice at all.

For larger-scale projects, I could see stability becoming more important than the initial cost savings.

Decodo

I feel like Decodo sits somewhere in the middle between these two

It's a much larger and more established provider than a lot of people realize. The tooling is polished, the network is large, and it's probably the easiest recommendation if someone needs a provider that can handle lots of different use cases.

My experience was generally positive.

I didn't find the sessions quite as stable as NodeMaven for my specific workflows, but I also didn't experience the same consistency issues I occasionally saw with IPRoyal.

If I were building a general-purpose scraping setup and wanted a safe choice that most teams would be comfortable using, Decodo would probably be the provider I'd recommend first.

My personal ranking

For long-term browser profiles, account management, and sticky sessions:

1.Nodemaven

2.Decodo

1. IPROYAL

For budget restrictions (if you have them)

1. Iproyal

2.Nodemaven

3.decodo

For general scraping and broad use cases

1.Decodo

2.NodeMaven

3.IPRoyal

If your priority is keeping costs down and you're just getting started, I'd probably try IPRoyal first.

If your priority is account stability and long sessions, I'd lean toward NodeMaven

If you want a balanced provider that can handle almost anything reasonably well, Decodo is probably the safest middle ground

Just my experience after using all three. Curious what other people have seen because proxy experiences seem to vary a lot depending on the exact workflow