Practical guides, migration notes, and scraping architecture lessons from the team building DataBlue in production.
Stop wasting credits on blind crawls. Learn how to use a website crawler API smarter: map site structures first, filter URLs, and extract only what you need.
Why converting raw HTML to Markdown isn't enough for production LLMs. Learn how structured, token-optimized JSON payloads save 80% on token costs and eliminate RAG hallucinations.
Stop writing messy API wrappers. Learn how to use the Model Context Protocol (MCP) to give your AI agents autonomous, real-time web scraping capabilities.
Stop fighting IP blocks and broken selectors. Learn how to scrape Google News reliably in Python using manual scrapers vs. DataBlue’s structured API.
Stop fixing fragile Python scrapers. Learn why scraping Google Finance historical data fails and how to build a reliable tracker using DataBlue's API.
Learn how to scrape Amazon product data using Python. Bypass CAPTCHAs, IP bans, and rotating proxies, or fetch clean data instantly using DataBlue's API.
Stop overpaying for GCP. Compare Google Places API alternatives, analyze the 30-day caching rule, and see how maps scraping cuts costs at scale.
Bypass the LLM knowledge cutoff. Learn how to integrate Google Search into your RAG pipelines to fetch clean, LLM-ready markdown.
Stop fighting broken HTML scrapers and CAPTCHAs. Learn how to modernize legacy PHP applications by parsing Google Search results as clean JSON and Markdown.
