Prompt

what are the best datacenter proxies for web scraping?

Technology / Data infrastructure1 observationLast seen Jun 30, 2026

Latest observation

Jun 30, 2026OpenAI API

The “best” datacenter proxies for web scraping depend on what you’re scraping, how sensitive it is to blocks, and your budget. In general, the top criteria are:

  • High uptime and speed
  • Large IP pool
  • Rotating or sticky session options
  • ASN / geo targeting
  • Good authentication and API controls
  • Low fraud reputation / clean IPs
  • Responsive support

Commonly recommended providers

These are frequently used for scraping workloads:

  • Bright Data — very large pool, strong tooling, expensive
  • Oxylabs — enterprise-grade, reliable, expensive
  • Smartproxy / Decodo — easier to use, good mid-market option
  • Webshare — often budget-friendly, simple setup
  • SOAX — decent targeting and rotation options
  • IPRoyal — lower-cost options, mixed performance depending on use case
  • NetNut — more premium, good for certain scale needs

What to choose

  • Best overall reliability: Bright Data or Oxylabs
  • Best balance of cost and usability: Smartproxy/Decodo or Webshare
  • Best budget option: Webshare or IPRoyal
  • Best for enterprise scale: Bright Data, Oxylabs, NetNut

Important note

For many websites, datacenter proxies are easier to detect and block than residential or mobile proxies. If you’re scraping sites with strong anti-bot protections, you may need:

  • rotating IPs
  • realistic request rates
  • browser automation with anti-detection measures
  • residential proxies instead of datacenter proxies

Quick buying checklist

Before choosing, check:

  • Can you target specific countries/cities?
  • Are IPs dedicated or shared?
  • Is rotation automatic?
  • What’s the success rate on your target sites?
  • Is there a trial or refund policy?
  • Are there bandwidth or port limits?

If you want, I can also give you:

  1. a ranked list by budget,
  2. a comparison table, or
  3. recommendations for specific scraping targets like e-commerce, search engines, or social sites.

Observation history

How did Obsurfable measure this prompt?

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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Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

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