Email
Enterprise Service
menu
Email
Enterprise Service
Submit
Basic information
Waiting for a reply
Your form has been submitted. We'll contact you in 24 hours.
Close
Home/ Blog/ Which is better in terms of IP pool size, NetNut or PyProxy?

Which is better in terms of IP pool size, NetNut or PyProxy?

PYPROXY PYPROXY · May 13, 2025

When it comes to selecting the right proxy service for web scraping, data collection, or anonymity purposes, the scale of the IP pool is one of the most critical factors. In this context, both NetNut and PYPROXY are recognized players in the market, offering expansive IP pools. However, the scale of the IP pool can significantly impact the effectiveness and efficiency of the service. This article delves into a detailed comparison of the two, focusing on their IP pool sizes, how they differ, and which service comes out on top for customers seeking extensive proxy networks.

Introduction to IP Pool Scale

IP pool size refers to the total number of unique IP addresses a proxy service can provide for its users. Larger pools often translate to better anonymity, more diverse geolocation options, and the ability to bypass more advanced anti-bot measures. Both NetNut and PyProxy offer robust IP pool networks, but there are key differences in how they manage and scale their IP offerings. Understanding these differences is vital for businesses, researchers, and developers who rely on proxies for activities such as web scraping, market research, or circumventing geo-restrictions.

NetNut's Approach to IP Pool Scale

NetNut positions itself as a premium proxy provider with a particular focus on offering large-scale, residential IPs. Unlike traditional proxy providers, NetNut operates on a unique architecture where its proxy network is powered by real users. This means that its IP pool is composed of a vast array of real residential IPs, which adds a significant advantage in terms of scalability and reliability.

NetNut’s IP pool spans across millions of residential IPs distributed across various geographies worldwide. These IPs are not just limited to a particular region but cover a wide spectrum of countries, ensuring that users can access content from different parts of the world without facing detection or blocks. This expansive network provides a seamless and highly effective proxy experience, especially for businesses with global scraping or data gathering needs.

One key feature that strengthens NetNut’s offering is the consistency of its IP pool. Since the IPs are residential, they appear more natural to websites and services, making it harder for websites to detect or block the user. This quality ensures that the IP pool remains vast and diverse, providing a sustainable solution for long-term use.

PyProxy's Approach to IP Pool Scale

PyProxy, on the other hand, employs a different model compared to NetNut. While also providing a significant pool of IP addresses, PyProxy primarily focuses on offering a hybrid of both residential and data center proxies. This model gives users a degree of flexibility in choosing between high-speed, low-latency data center proxies or more discrete residential proxies.

PyProxy’s residential proxy pool is substantial, but it does not match the sheer scale of NetNut’s residential IP network. Instead, it offers a more balanced approach by combining both data center and residential proxies. This strategy allows users to choose between high-performance proxies for tasks requiring speed and data center proxies for tasks where location and anonymity are less critical.

PyProxy also offers flexible geographic coverage, though the overall size of its IP pool might be considered smaller when compared to NetNut’s expansive residential network. While it may not have the same massive scale, PyProxy compensates with a more tailored service, allowing users to access a diverse set of proxy options.

Comparing IP Pool Scale: NetNut vs. PyProxy

When directly comparing the IP pool scale of NetNut and PyProxy, the key differentiators are the total number of residential IPs and the diversity of locations.

1. Scale of Residential IPs:

NetNut leads in the number of residential IPs available, offering millions of unique residential IPs globally. This makes it a more attractive option for businesses requiring large-scale web scraping or market research where a broad IP pool is essential to avoid detection.

2. Global Coverage:

NetNut’s residential IP pool covers a wide array of geolocations across many countries, offering users greater flexibility in targeting specific regions. PyProxy, while offering good global coverage, may not be as extensive in terms of geographical reach compared to NetNut’s massive pool.

3. Hybrid Proxy Model:

PyProxy offers a hybrid proxy model that incorporates both residential and data center IPs. This gives users the benefit of choosing between speed and anonymity. In contrast, NetNut focuses exclusively on residential IPs, which are typically more effective for avoiding detection but might not always be as fast as data center proxies.

4. Anonymity and Detection Evasion:

NetNut’s reliance on residential IPs provides a significant edge in terms of anonymity. Websites are less likely to detect and block residential IPs compared to data center proxies. PyProxy’s combination of both residential and data center IPs may lead to slightly higher detection rates, but it still offers good anonymity for most use cases.

Conclusion: Which Proxy Service Reigns Supreme in IP Pool Scale?

For businesses and developers seeking the largest and most reliable IP pool, NetNut comes out ahead in terms of sheer scale and residential IP offerings. Its massive, diverse IP pool across multiple geographies provides a high level of flexibility and reliability, making it a strong choice for global data scraping and anonymity needs.

However, PyProxy provides a more versatile solution with its hybrid approach, combining both residential and data center IPs. This can be an attractive option for users who need to balance speed with anonymity or for those with less complex proxy requirements.

Ultimately, the decision between NetNut and PyProxy depends on the specific needs of the user. If you prioritize scale, reliability, and the ability to stay undetected, NetNut offers a superior IP pool. However, if flexibility and speed are more important, PyProxy may offer a better solution.

Related Posts