Web scraping failing? Dynamic datacenter IPs could cut your costs in half

In the field of data scraping, to be honest, technology is not the hardest part. The most troublesome issue is always the IP problem. Many people have experienced this: after running a task for a short while, 403 errors, 429 limits, and CAPTCHAs appear one after another, making efficiency extremely low.

This is also why more and more people are starting to focus on dynamic datacenter IPs. But to be frank, if dynamic IPs are not used properly, they will still get blocked.

Today, based on some real-world experience, I’d like to talk about: how to properly use dynamic datacenter IPs to achieve more stable and long-lasting data scraping.

I. Why does your IP get blocked as soon as you start scraping?

Most modern anti-bot systems mainly monitor the following factors:

•  Excessively high access frequency from a single IP

•  Abnormal IP behavior patterns (requests that are too regular)

•  Low-quality IPs marked as “crawler IPs”

•  A single IP staying online for too long without rotation

Many people start with static IPs or cheap proxy IPs. Once the request volume increases, risk control systems immediately flag them, and IP blocking is only a matter of time.

So the key issue is not “whether to scrape or not,” but rather: whether your IP behaves like a real user when accessing the website.

II. What are dynamic datacenter IPs? How are they different from regular dynamic IPs?

Dynamic datacenter IPs are essentially a type of dynamic IP, but they originate from datacenters rather than residential broadband networks.

Compared to ordinary proxy IPs, they have several notable characteristics:

•  Large IP pools with high rotation frequency

•  High stability and low disconnection rates

•  Lower cost than residential IPs, yet far superior to low-quality proxies

Conventional dynamic IPs usually come from residential broadband dial-up connections. While they offer high authenticity, they are also more expensive and require higher maintenance costs.

In real-world data scraping scenarios, dynamic datacenter IPs are a very cost-effective choice.

They are especially suitable for large-scale data collection, e-commerce price monitoring, search engine crawling, public opinion analysis, and content aggregation.

III. The correct way to use dynamic datacenter IPs (practical tips)

1. Don’t rotate IPs on every request—overdoing it looks abnormal

This is one of the most commonly overlooked points. Many people worry about being blocked and set their system to rotate IPs on every request.

As a result, they still get flagged by risk control systems very quickly. The reason is simple: real users don’t change IPs every second.

A more reasonable approach is:

•  Keep one dynamic datacenter IP for 3–10 minutes

•  Or rotate after 50–100 requests

•  Shorten usage time for sites with stricter anti-bot measures

This allows you to leverage the advantages of dynamic IPs without making your behavior look too “unnatural.”

2. Assign IPs by task instead of mixing all requests together

Many projects get blocked not because the IPs are bad, but because the IP usage is too mixed. For example:

•  Homepage list crawling

•  Detail page data collection

•  Search API requests

These have different risk levels in the eyes of the website. Practical recommendations:

•  Regular pages → use standard dynamic datacenter IPs

•  High-risk APIs → use a separate batch of proxy IPs

•  Login states and account-related actions → use an independent IP pool

We recommend IPDEEP dynamic datacenter IPs, which allow you to split IPs into multiple pools so that different tasks don’t interfere with each other. If one gets blocked, it won’t affect the entire project.

3. Always adjust request frequency together with IP rotation

Rotating IPs without limiting request speed is pointless. Many bans are essentially triggered by a combination of IP and request frequency.

Even with high-quality proxy IPs, overly aggressive requests will still be blocked. A relatively safe reference range is:

•  Regular pages: 1–3 seconds per request

•  List pagination: 2–5 seconds per request

•  Search or APIs: 3–8 seconds per request

You can introduce random fluctuations based on actual conditions instead of using fixed intervals.

4. Always combine dynamic IPs with UA and Cookies

Simply rotating dynamic IPs without changing request headers greatly reduces effectiveness. At a minimum, you should:

•  Randomize User-Agent values (but don’t go overboard)

•  Carry cookies properly instead of sending empty requests every time

•  Bind different IPs to different UA combinations

In my data scraping projects, I usually bind IP + UA + Cookie together, which makes traffic look more like real users rather than “headless crawlers.”

5. Clean IPs regularly—don’t hesitate to discard “dirty IPs”

Even dynamic datacenter IPs can’t be 100% clean. In practice, you should:

•  Regularly test proxy IP availability

•  Immediately discard IPs that frequently trigger 403 errors or CAPTCHAs

•  Avoid repeatedly using IPs already flagged by risk control systems

Providers like IPDEEP update their dynamic IP pools frequently, but you still need to perform your own filtering to keep projects running smoothly.

6. Use different dynamic IP strategies for different websites

This is another commonly overlooked point. Don’t expect a single dynamic datacenter IP strategy to work for all sites. A simple classification:

•  Weak anti-bot sites → dynamic IPs + basic rate limiting

•  Moderate anti-bot → dynamic IPs + behavior randomization

•  Strong anti-bot → dynamic IPs + multi-layer obfuscation + task separation

Recommended approach: start by testing with low-cost dynamic IPs, then decide whether to strengthen protections.

7. Choosing the right proxy IP provider saves you a lot of trouble

IP quality determines the lower bound of success. Cheap and chaotic proxy IPs can’t be saved no matter how good your strategy is.

Stable dynamic datacenter IP providers like IPDEEP ensure clean IP sources and high availability, allowing you to focus on strategy and business logic.

IV. Why recommend IPDEEP Dynamic Datacenter IPs?

•  Stable IP quality with high availability

•  Fast IP pool updates, reducing blacklist collisions

•  Flexible, on-demand switching

•  Easy integration, very crawler-friendly

Whether for long-term scraping or short-term projects, using the IPDEEP dynamic IP solution significantly lowers overall ban rates.

Especially on websites with moderate anti-bot measures, proper configuration allows for long-term stable data collection.

Final Thoughts

In the end, data scraping isn’t about who “runs the fastest,” but about who runs the longest and most steadily.

With high-quality dynamic datacenter IPs and well-balanced request rates, behavior strategies, and IP management, many data scraping tasks become much easier.

Of course, choosing the right proxy provider is crucial. Providers like IPDEEP help ensure IP quality and stability from the ground up, saving you from many unnecessary detours.