Web Data & Extraction
Best-in-class scraping and real-time data feeds
In-depth reviews, guides and insights on the data that powers modern AI – from vendors to tools to training sets.

Best-in-class scraping and real-time data feeds
Web Data & Extraction
Search engine results from multiple platforms at scale
Search API
Tools to simulate and scale user interaction
Browser Automation
Curated datasets and labeling services
Training Data
Bright Data provides enterprise-grade infrastructure for public web data collection, built to support the entire AI data lifecycle.
Specializes in converting complex websites—including dynamic, JavaScript-heavy pages—into structured markdown or JSON for AI ingestion.
Designed for LLM and RAG use cases, delivering structured, ranked results and short answers for AI systems.
Best known for its outstanding network stability and customer support — providing a network of 72M+ residential IPs and advanced data collection products with unlocking and automation technology to 20K+ clients worldwide.
Delivers semantic, neural and vector search capabilities for advanced, context-aware AI pipelines.
Best known for its outstanding network stability and customer support — providing a network of 72M+ residential IPs and advanced data collection products with unlocking and automation technology to 20K+ clients worldwide.
Learn how to build resilient AI data pipelines that adapt to layout changes, CAPTCHAs, IP blocks and scraping failures.
Explore the essential methods of AI data collection, common challenges like bias and privacy, and best practices to ensure quality and ethical AI training datasets.
This article will cover how to design and implement scalable, automated web crawling workflows that make this possible.
Discover why AI agents must navigate the web autonomously. Understand the core capabilities and how to train the AI agent to crawl the web
In this article, we’ll explain what multimodal AI is and how you can get started with it, including where to find multimodal datasets and how to scrape your own multimodal data.
Learn how and when to leverage search results in your AI systems. Whether you’re training an LLM, building an AI agent or creating a RAG
Discover the Model Context Protocol (MCP) — a universal standard bridging LLMs and tools for faster, scalable, and interoperable AI development.
Actionable content for data engineers, AI leads,
and product teams.
