Practical guides, migration notes, and scraping architecture lessons from the team building DataBlue in production.
Build an Amazon price monitor with Python: collect product observations, keep delivery context consistent, compare changes and budget DataBlue credits.
JavaScript support is only one part of a scraping API. Compare what the API returns, when it captures a page, and how optional browser work is billed.
Tired of expiring credits and rigid enterprise minimums? Compare the 5 best Oxylabs alternatives in 2026 to audit your web scraping spend and boost ROI.
An honest breakdown of the best free web scraping tools. Compare open-source libraries vs. SaaS free tiers, and calculate the true cost of engineering time.
Choose between an HTTP parser, a browser framework and a hosted scraping API based on the source page, output fields and maintenance your team can support.
Many scrapers promote HTML-to-Markdown, but is it actually best for LLMs? Discover why structured JSON outperforms Markdown for RAG pipelines by preserving metadata, stopping table breakage, and slashing token overhead.
Learn how to build a high-speed, autonomous AI search agent in Python. See how using DataBlue's structured JSON instead of raw HTML reduces LLM token costs by up to 80% and prevents context-window bloat.
Stop dealing with messy raw HTML and hallucinated LLM fields. Learn how to scrape any website directly to a strict, validated JSON Schema that feeds right into your database.
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.
