Prompt

What's the difference between residential, ISP, datacenter, and mobile proxies?

Latest observation

Jul 15, 2026 · OpenAI APIWeb search: off

Here’s the practical difference:

1) Residential proxies

  • IP source: Real home internet connections from ISPs assigned to households.
  • Looks like: A normal person browsing from a home.
  • Pros: Harder to detect/block, good for geo-targeting and anti-bot resistance.
  • Cons: Usually slower, more expensive, and can have less consistent uptime.

2) ISP proxies

  • IP source: IPs owned by residential ISPs, but typically hosted in data centers.
  • Looks like: Residential ISP IPs, but with datacenter-level speed/stability.
  • Pros: Good balance of legitimacy and performance; often faster than residential.
  • Cons: Can still be identified by some anti-abuse systems as non-home infrastructure.

3) Datacenter proxies

  • IP source: Cloud providers or data centers, not tied to home internet.
  • Looks like: Server traffic, not a household user.
  • Pros: Fast, cheap, scalable.
  • Cons: Easier to detect and block, often limited on sites with strong anti-bot systems.

4) Mobile proxies

  • IP source: Mobile carriers (4G/5G) through phones or cellular networks.
  • Looks like: Traffic from a mobile device on a cellular network.
  • Pros: Very hard to block, often high trust because IPs are shared among many mobile users.
  • Cons: Usually the most expensive, can be slower, and IPs may rotate frequently.

Quick comparison

TypeBest forSpeedCostDetectability
ResidentialWeb scraping, geo testing, account tasksMediumHighLow
ISPStable scraping, e-commerce, sneaker sitesHighMedium-HighLow-Medium
DatacenterBulk tasks, monitoring, high volumeVery highLowHigh
MobileHigh-trust actions, toughest targetsMedium-LowVery highVery low

Simple rule of thumb

  • Need cheapest and fastest? Datacenter
  • Need a good middle ground? ISP
  • Need to look like a real home user? Residential
  • Need maximum trust / hardest to block? Mobile

If you want, I can also explain which one to use for scraping, sneaker sites, ad verification, or social media accounts.

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Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

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