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Home/Blog/Does PyProxy support filtering residential IPs by city or ASN?
Does PyProxy support filtering residential IPs by city or ASN?
PYPROXY·Aug 01, 2025
In the world of online privacy and security, residential IPs have become crucial for various applications. Whether it’s for web scraping, data aggregation, or securing online transactions, the use of residential proxies helps maintain anonymity and prevents blocking. PYPROXY, a popular proxy management tool, is often questioned about its ability to filter residential IPs by city or ASN (Autonomous System Number). This article will explore whether PyProxy supports such filtering and what the benefits of such a feature are for users. We’ll delve into the importance of city and ASN filtering, and how it can be leveraged for different purposes.
Understanding Residential IPs and Their Significance
Before delving into PyProxy’s capabilities, it’s important to understand what residential IPs are and why they’re valuable. Residential IPs are real IP addresses assigned to homeowners by ISPs (Internet Service Providers). These IPs are not as easily identifiable as proxies or datacenter IPs, making them highly effective for evading detection and blocking by websites. Residential IPs are often used for various tasks like web scraping, accessing geo-restricted content, and managing social media accounts without risking account bans.
For these reasons, the ability to filter residential IPs by specific criteria, such as city or ASN, can be an important feature for users who need targeted results. Let’s take a closer look at why and how this filtering might be useful.
Why Filter Residential IPs by City?
Filtering residential IPs by city can be a valuable feature in many cases. Here are some common scenarios where city-level filtering would be beneficial:
1. Geo-targeting for Marketing: Businesses often need to target users based on specific geographical locations for marketing purposes. Filtering IPs by city allows businesses to reach their target audience more effectively by simulating user behavior from a particular location. For instance, a marketing campaign aimed at users in New York City can benefit from using IPs originating from that specific area.
2. Local Content Access: Some websites restrict content based on the user’s geographical location. By filtering residential IPs by city, users can bypass regional restrictions to access local content that would otherwise be unavailable. This is particularly useful for users who need to access content for research, entertainment, or competitive analysis.
3. Avoiding Location-Based Bans: Many online platforms impose restrictions or bans based on specific cities or regions due to fraud, abuse, or suspicious activity. By using city-filtered IPs, users can reduce the risk of being flagged or banned by ensuring their traffic appears to originate from trusted locations.
Why Filter Residential IPs by ASN?
An ASN is a unique number assigned to an internet service provider or network operator that identifies a collection of IP addresses. Filtering by ASN can be useful for a number of reasons:
1. Network Optimization: When managing large-scale data scraping or web crawling tasks, filtering by ASN can help users optimize their network usage. By using IPs from the same ASN, users can ensure that their traffic is more consistent, reducing the chances of rate limiting or IP blocking. It’s particularly useful when targeting websites that restrict access based on ASN patterns.
2. Avoiding Shared IPs: Some ASNs may be shared by multiple ISPs or even entire data centers. In these cases, filtering out such IPs can prevent users from being associated with low-quality or suspicious traffic sources. By filtering out non-residential ASNs, users can ensure that they are using genuine residential IPs for more effective anonymity.
3. Improved Reputation Management: For businesses or individuals concerned with maintaining a clean reputation, using IPs from reliable and trusted ASNs can improve their credibility and reduce the risk of their traffic being flagged as suspicious. It’s essential when conducting sensitive operations, such as market research or social media management.
Does PyProxy Support City or ASN Filtering?
Now, let’s address the core question: does PyProxy support filtering residential IPs by city or ASN?
Currently, PyProxy offers robust features for managing proxy lists, but its support for filtering residential IPs by specific geographic locations or ASNs is limited. While PyProxy allows users to manage large pools of proxies, detailed filtering options like city-specific or ASN-based filtering are not natively available in the core version of the tool.
That being said, there are ways users can work around this limitation. Some third-party proxy providers integrated with PyProxy may offer additional filtering features, including city and ASN-based filtering. These providers may allow users to filter proxies by location, ASN, or other criteria when using PyProxy to manage their proxy pools.
How Can Users Achieve City and ASN Filtering?
While PyProxy might not offer direct support for city or ASN filtering, users can still achieve these goals through alternative means:
1. Proxy Providers: Many premium residential proxy services provide filtering options where users can select IPs from specific cities or ASNs. These services often offer advanced targeting options, allowing users to filter proxies based on precise criteria. Integrating such services with PyProxy is an effective way to gain more control over IP selection.
2. Custom Scripts and Integrations: For tech-savvy users, creating custom scripts to filter IPs by city or ASN is another approach. By leveraging APIs from proxy providers or using third-party data, users can filter out IPs based on their location or ASN before inputting them into PyProxy for management.
3. Proxy Rotation Services: Some proxy rotation services also offer geographic and ASN filtering options as part of their product. By utilizing these services in conjunction with PyProxy, users can rotate residential IPs based on the desired criteria without having to manually filter each proxy.
The Benefits of Filtering Residential IPs
Filtering residential IPs by city or ASN provides several advantages:
- Enhanced Anonymity: By choosing IPs from specific cities or ASNs, users can reduce the risk of detection by websites or online platforms. This is particularly useful for users engaged in activities like web scraping or accessing content from different regions.
- Targeted Results: Whether you’re running a marketing campaign or conducting research, city or ASN filtering can provide more accurate and targeted results. This ensures that your online activity appears legitimate and relevant to the specific region or network you’re targeting.
- Avoiding IP Blocking: Websites may block or throttle traffic from certain regions or ASNs. By filtering out these regions or ASNs, users can prevent being blacklisted or encountering rate limits during their activities.
Conclusion
While PyProxy itself does not directly support filtering residential IPs by city or ASN, users can still achieve these goals through third-party services or custom integrations. The ability to filter by city or ASN offers several benefits, including enhanced anonymity, improved targeting, and reduced risk of IP blocking. As online privacy and security become increasingly important, tools like PyProxy can be enhanced with additional features to provide more control over IP selection, helping users navigate the internet with greater confidence and reliability.
