LunaProxy vs PYPROXY — Which Proxy Service Fits Your Needs in 2025?

When building a web-scraping, data-crawling, or automation workflow, the proxy service you choose can significantly impact your success. Whether you're handling high-volume scraping tasks, avoiding IP bans, bypassing geo-blocks, maintaining anonymity, or managing multiple accounts, your proxy setup plays a major role.

Two popular providers developers are comparing in 2025 are LunaProxy and PYPROXY. Each has strengths and trade-offs depending on your scale, technical needs, and budget. Let’s take a deeper look.

What Are LunaProxy and PYPROXY?

At the core, both LunaProxy and PYPROXY offer proxy services that mask your real IP address. This helps you stay anonymous, avoid CAPTCHAs or geo-restrictions, and run scalable scraping, automation, or account management tasks.

LunaProxy

LunaProxy highlights a massive global IP pool — over 200 million residential IPs across 195+ countries.
Key features include:

• Dynamic (rotating) and static residential proxies
• ISP and datacenter proxies
• Unlimited residential plans (no bandwidth cap)
• HTTP, HTTPS, SOCKS5 protocol support
• Flexible pricing: per GB, per IP, or unlimited packages
• Easy dashboard, usage analytics, ISP/city-level geolocation targeting

PYPROXY

PYPROXY offers its own built, non-resold proxy network with a combination of:

• Residential, mobile, ISP, and datacenter IPs
• Rotating and static proxy options
• HTTP(S) and SOCKS support
• Plans suitable for individuals up to enterprises
• Focus on speed, performance, and reliable uptime

Feature-by-Feature Comparison

What This Means in Practice

Best for Large-Scale Scraping

If you're scraping multiple countries, handling millions of rows, or running numerous concurrent sessions, LunaProxy’s huge pool and simplicity make it very efficient.

Best for Automation & Multi-Account Workflows

If you need different proxy types (mobile, residential, ISP), want more customization, or are building advanced automations, PYPROXY gives more flexibility.

Best for Small or Budget Projects

For smaller scraping tasks or testing, both providers offer entry-level plans.
Choose LunaProxy if you want simplicity; choose PYPROXY if you need configuration options.

Practical Tips for Using Proxies Effectively

• Rotate IPs properly to avoid reuse patterns.
• Choose diverse geo/ISP proxies for more realistic traffic.
• Use static or sticky sessions for multi-account management.
• Combine proxies with headers, user-agents, and browser profiles.
• Monitor success rates and adjust retry logic or frequency.
• Consider bandwidth costs — aggressive scraping can get expensive.

MrScraper’s Built-In Proxy Feature — A Strong Alternative

MrScraper already includes built-in proxy support, which can sometimes remove the need for external providers.

Benefits:

• Seamless integration (no external dashboards or credentials)
• Lower overhead for small tasks
• Fewer dependencies for teams
• Great for simple scraping jobs or quick workflows

Often, the best approach is hybrid: built-in proxies for lightweight tasks, and external proxies for heavier operations.

Conclusion

There’s no single “winner” between LunaProxy and PYPROXY — it depends on your needs:

• Choose LunaProxy for broad, global, high-volume scraping with minimal setup.
• Choose PYPROXY if you want flexibility, custom workflows, and a variety of proxy types.
• Use MrScraper’s built-in proxies if your project is small, simple, or you want the easiest possible setup.

Each option has its strengths — the key is matching them to your workflow.