Resources on building AI agents that browse and extract web data in real time — MCP integrations, agentic scraping patterns, and grounding LLMs with live information.
109 articles
Learn how to combine headless browsers and markdown extraction to ground LLM responses in real-time web data for reliable AI agents.
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Learn how to extract structured JSON from AlternativeTo using AlterLab's Extract API. Define a schema, call the endpoint, and get typed data ready for AI pipelines.
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Learn how to connect your AI agent to VentureBeat for real-time tech intelligence. Use AlterLab to bypass anti-bot measures and get structured JSON data.
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Extract structured SEMrush data via API using AlterLab's Extract API. Get typed JSON output for metric_name, value, date and more without HTML parsing.
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<compelling meta description, 150-160 chars, include 'ai agent' and 'bbc news'>
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Learn how to extract structured JSON from PubMed using AlterLab's data API — schema-driven, accurate, and ready for AI pipelines in 2026.
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Learn how to integrate AP News data into your AI agent pipelines using structured extraction. Use AlterLab to bypass anti-bot measures and feed clean JSON directly to your LLM.
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Learn how to integrate Google Patents data into your AI agent pipeline using structured extraction to power RAG and patent intelligence workflows.
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Learn how to integrate stealth headless browsers with structured Markdown extraction to create reliable data pipelines for LLM-powered applications. Practical examples and architecture insights.
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Learn how to build reliable RAG pipelines by extracting clean Markdown and structured JSON from complex web pages using AlterLab's scraping API with anti-bot handling and smart rendering.
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Learn how to connect your AI agent to SEC EDGAR Full Text data. Build reliable RAG pipelines and agentic search tools using structured data extraction.
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Learn how to equip your AI agent with reliable, structured Hugging Face data using AlterLab's APIs for pipelines, RAG, and model monitoring.
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