Bright Data vs Spider
Updated March 10, 2026
Overview
Bright Data is an enterprise-grade web data platform providing proxy infrastructure, browser automation, and ready-made datasets for AI training. Serving Fortune 500 companies, it offers Web Scraper IDE, Scraping Browser with AI capabilities, and pre-collected datasets from major websites.
Spider is a high-performance web crawler built in Rust that can crawl thousands of pages per second. It provides LLM-ready output formats, JavaScript rendering, and anti-bot bypassing, making it ideal for large-scale web data collection for AI applications.
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Largest proxy network globally with 150+ million IPs
- Multiple pricing models for different use cases
- Comprehensive scraping tools and APIs
- Free trial enables testing before commitment
Cons
- Complex pricing structure leads to unpredictable bills
- Multiple hidden costs add up quickly
- Enterprise minimums of USD 500-1,000+ barrier for small teams
- Scaling costs can quickly exceed initial estimates
Pros
- Production-ready
- Good performance
- Active development
Cons
- Pricing varies
- Setup required
Compare Bright Data and Spider on your own traffic
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.