Struggling with 'What is my City Name' tool: How to Improve IP Lookup Accuracy for Users?

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Kriti Yadav Author
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2 weeks ago Asked
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Hey everyone, hope you're all having a productive week! I just launched a super simple web tool called 'What is my City Name' and it basically uses IP geolocation to tell users their current city. The idea was to have a quick, no-frills way for people to check their location based on their IP address lookup.

The thing is, I'm already getting a fair bit of feedback that the reported city is often incorrect or inconsistent, which is a real bummer. This seems to be especially true for mobile users or those who are on VPNs/proxies. The main challenge, as I see it, boils down to the underlying IP lookup accuracy. I'm trying to figure out what strategies, APIs, or best practices I can implement to significantly improve the accuracy of city-level geolocation for my users.

Specifically, I'm really curious about a few things:

  • Which commercial or open-source IP geolocation databases/APIs do you guys find offer the highest city-level accuracy?
  • Are there any specific techniques to better handle mobile network IPs or detect/mitigate VPN/proxy issues effectively?
  • And finally, any advice on combining multiple data sources for more reliable results?

This is a bit of a bottleneck for me right now, so any insights would be massively appreciated. Help a brother out please...

2 Answers

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Chidi Adebayo
Answered 1 week ago
Hello Kriti Yadav,
The thing is, I'm already getting a fair bit of feedback that the reported city is often incorrect or inconsistent, which is a real bummer.
This is a common challenge with IP geolocation, especially when aiming for city-level accuracy. The inherent nature of IP address allocation and routing means absolute precision is often elusive, but there are definitely strategies to improve your tool's performance. Let's break down your specific questions:

1. Commercial or Open-Source IP Geolocation Databases/APIs for Highest City-Level Accuracy:

For robust city-level accuracy, commercial solutions generally outperform open-source options due to their proprietary data, continuous updates, and sophisticated algorithms.
  • MaxMind GeoIP2: This is an industry standard. Their GeoIP2 City database is highly regarded for its accuracy and offers both paid API access and downloadable databases (including the free GeoLite2 City, which is less precise but a good starting point). MaxMind invests heavily in data collection and refinement.
  • IPinfo.io: Provides very detailed and accurate IP data, including city, region, country, ASN, and even company information. Their API is straightforward to integrate and their data is regularly updated.
  • Abstract API (specifically their IP Geolocation API): Offers a reliable and fast API for geolocation data, including city, region, country, and ASN.
  • IPStack: Another popular commercial option that delivers comprehensive IP lookup data.
While open-source options like MaxMind's GeoLite2 are available, understand that their city-level accuracy will be lower than their commercial counterparts. For the best geo-targeting accuracy, investing in a reputable commercial API is usually the most effective path.

2. Techniques to Better Handle Mobile Network IPs or Detect/Mitigate VPN/Proxy Issues:

This is where the challenge significantly increases.
  • Mobile Network IPs: Mobile IP addresses are often assigned dynamically and can route through various Points of Presence (PoPs) that might be hundreds of kilometers from the user's actual location. This means a mobile IP might resolve to a major city's data center even if the user is in a rural area nearby.
    • Strategy: Accept that mobile IP geolocation will inherently have a wider margin of error. You can try to cross-reference the ASN data to identify mobile carriers and, if possible, use their known network boundaries to refine estimates, but this is complex. Combining with other data (like browser-based location APIs, if user consent is obtained) is the most reliable way to overcome this limitation, though it moves beyond pure IP lookup.
  • VPN/Proxy Detection and Mitigation: Detecting VPNs and proxies is crucial for understanding the true intent of the IP lookup.
    • Strategy: Many commercial IP geolocation APIs (like MaxMind, IPinfo.io) offer additional data points such as a "risk score," "VPN detection," or "proxy type" flags. These services maintain extensive databases of known VPN/proxy IP ranges.
    • ASN Analysis: Examining the Autonomous System Number (ASN) associated with an IP can sometimes indicate a commercial VPN provider rather than a standard ISP.
    • Reputation Scores: Some services provide IP reputation scores, which can flag IPs known for suspicious activity, including VPN/proxy usage.
    • Mitigation: If a VPN/proxy is detected, you can inform the user that their location might be obscured or provide a less precise result (e.g., country-level only). Complete mitigation is impossible as VPNs are designed to mask location, but detection allows you to manage user expectations.

3. Combining Multiple Data Sources for More Reliable Results:

This is an excellent approach for improving location intelligence and overall accuracy.
  • Primary and Secondary APIs:
    • Select a primary, highly accurate API (e.g., MaxMind GeoIP2 City or IPinfo.io) as your main source.
    • Implement a secondary API as a fallback or for cross-validation. If the primary API returns an unexpected or low-confidence result, query the secondary API.
    • You could also compare results from both. If they largely agree, you have higher confidence. If they differ significantly, you might flag the result as uncertain or present a broader region.
  • Weighted Averaging/Confidence Scoring: If you're getting latitude/longitude coordinates, you could potentially average them, but this is less practical for city names. A more effective method is to assign a confidence score to each API's result based on its historical accuracy, and then prioritize the result from the API with the highest confidence for that particular IP type (e.g., one API might be better for mobile, another for fixed-line).
  • Local Data Sets: For very specific use cases, you might supplement with your own curated database of known IP ranges for local ISPs, though this is a significant undertaking.
Improving IP lookup accuracy is an ongoing process. Start with a solid commercial API, layer in VPN/proxy detection, and consider a multi-source approach for validation. What kind of traffic volume are you currently seeing on your tool?
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Kriti Yadav
Answered 1 week ago

Wow, this is incredibly thorough, Chidi Adebayo. Seriously, I should've asked sooner! This gives me so many solid actionable points to look into, especially around MaxMind and the multi-source stuff. Ngl, this is super helpful.

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