
Building a RAG Pipeline with Live Web Data
Learn how to architect a Retrieval-Augmented Generation (RAG) pipeline that uses live web data to provide real-time context to LLMs.
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Guides, tutorials, and best practices for web scraping, API integration, and data extraction.
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Learn how to architect a Retrieval-Augmented Generation (RAG) pipeline that uses live web data to provide real-time context to LLMs.
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Learn how to combine LLM tool use, real-time web data, and MCP servers to create agentic browsing agents that fetch and act on live information without custom scrapers.
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Learn how to cut LLM token usage in RAG pipelines by extracting clean Markdown or JSON from web pages instead of raw HTML, lowering costs and improving retrieval quality.
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Learn how to build resilient, scalable web scraping pipelines that handle dynamic content and bot detection using professional API architectures.
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Learn how to scrape niche.com reviews and neighborhood data using Python and Node.js. A technical guide to handling anti-bot protections and structured extraction.
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Learn how to add retry logic, circuit breakers, and fallbacks to your scraping pipelines to handle transient failures and maintain data collection reliability.
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Learn to scrape Glassdoor Interviews for job market insights using AlterLab's API. Python/Node.js examples, Cortex extraction, pricing, and compliance best practices.
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Learn how to scrape Rate My Professors using Python and Node.js. This technical guide covers anti-bot handling, structured data extraction, and scaling pipelines.
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Learn how to navigate dynamic pagination in modern web applications using API interception, headless browsers, and automated scraping workflows.
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Learn how to scrape LoopNet for real-estate data using AlterLab's API with Python and Node.js. Handle anti-bot protections and extract structured data efficiently.
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Learn how to scrape WebMD data using Python and Node.js. This guide covers handling anti-bot protections and using AI for structured data extraction.
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