In this blog post, you are going to learn the main difference between data center proxies and residential proxies. When to use data center and residential proxies in your web data extraction project to maximize successful requests.
Why would you even need proxies?
First of all, let's see why would you even need proxies. When you start extracting data from the web on a small scale you might not need proxies to make successful requests and get the data. But, as you scale your project because you need to extract more records or more frequently, you will experience issues. Or the site you're trying to reach might display different content depending on the region. So these are the two cases when you need to start using a proxy solution.
Difference between data center and residential proxies
Data center proxies are much easier to get access to and they are much cheaper. In many use cases, where you cannot extract data without any proxy, you can just start using data center proxies and be able to extract data.
Residential proxies are harder to get access to and they are more expensive because they are provided by actual Internet Service Providers and not data centers. Residential proxies are also of higher quality and can work even when data center proxies fail.
A closer look at each proxy type
The high-level definitions above are enough for most decisions, but if you're choosing a vendor or sizing a pool, the sub-types and trade-offs matter.
Sub-types of data center proxies
Not all data center proxies are equal. You'll typically see four flavors:
Public — free proxies you can find online. Avoid them for any real project. Beyond unreliability, they're a security risk because you have no idea who else is routing traffic through the same node.
Shared — IPs used by multiple customers at the same time. The cheapest paid option and fine for simple jobs, but ban-prone unless paired with solid rotation and throttling logic.
Private / Dedicated — IPs you have exclusive access to for a set window, or that you own outright via a data center vendor like AWS, Azure, or Equinix. Far more reliable, but more expensive.
ISP proxies — IPs assigned by an Internet Service Provider but hosted on data center infrastructure. They look more like residential traffic to target sites while keeping data center-level uptime.
Why websites can still spot data center proxies
Data center IPs aren't tied to a residential ASN (the identifier of the company that issued the IP), and their subnets tend to be small and uniform. Websites that actively defend against bots — using techniques like geofencing, TCP/IP fingerprinting, and browser fingerprinting — can flag this pattern even when the proxy is otherwise anonymous. That's the trade-off you accept for the lower cost, and it's why proxy management logic matters so much.
How residential proxies actually work
Residential proxies are IP addresses borrowed from real users' devices — laptops, phones, and other consumer hardware connected through an ISP. Major providers typically deliver them through a backconnect server: you connect to a single endpoint, and the server rotates which underlying residential IP serves each request. You don't manage the rotation yourself, and the pool size (often millions of IPs spread across many countries and subnets) makes blanket blocks impractical for the target site.
The trade-offs are real, though. Residential IPs can be slower than data center IPs because there's an extra hop to a consumer device, the end user can disconnect at any time, and you're sharing the pool with every other customer. They're also priced by traffic volume rather than per IP, which makes high-volume jobs significantly more expensive.
When residential is worth the premium
As a rule of thumb, reach for residential proxies when the target site has strict anti-bot defenses (highly targeted merchant or marketplace sites are common examples), when content varies meaningfully by location at the city or country level, or when the use case demands a real-user fingerprint — ad verification is the classic example.
For most projects, a well-managed data center pool will get you the same data at a fraction of the cost. Residential is the right call when the data is valuable enough to justify the premium, or when data center IPs simply can't get through.
Which one is better for web scraping?
Whether you should use data center or residential proxies in your web data extraction project, it comes down to your situation's details. There's no general rule of thumb to decide which type of proxy will work for you. But one thing is for sure: unless you have some special requirements you should start off with data center proxies. Then, based on how it works for you, you can switch to residential proxies if you really need to.
Residential proxies are more expensive, thus you will probably be better off using data center proxies if you can, and applying some techniques to keep your proxy pool clean.
Most effective way to use proxies in your web scraping project
The biggest issue with residential proxies is, as it was mentioned, they are expensive. So usually the most effective way to scale your web data extraction project is to try to maximize the value of data center proxies, by being smart about how you actually scrape the web and how you use proxies.
Two things, that you can do to achieve this:
Automatic proxy rotation: when a proxy fails you automatically assign a new one.
Auto-throttling: you set your request frequency based on how the website reacts.
If you want to learn more about these tactics, I recommend watching our FREE webinar on this: How to scale your web scraping with proxies.
Learn more
If you missed our webinar on data center proxies and residential proxies, watch it now. I am sure you'll find it very useful.
If you feel like you know enough already and you don't want to spend way too much time on managing proxies, you can just use an already existing solution for proxy rotation and management.
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