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.
52 articles
Learn how to connect your AI agent to public G2 review data using AlterLab's Extract API. Build pipelines for software comparison and competitor intelligence.
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Connect your AI agent to publicly available Glassdoor data using structured extraction pipelines. Feed public salary and company data directly into your LLM.
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Learn how to connect your AI agent to public Trustpilot data using structured extraction, headless browsers, and MCP to build reliable reputation pipelines.
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Learn how to extract structured Booking.com data via API. Build reliable travel data pipelines with automated JSON extraction and robust schema validation.
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Learn how to connect your AI agent to public Indeed data. Handle anti-bot protections, bypass rate limits, and extract structured job listings directly into your LLM pipeline.
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Learn how to build automated cross-border proxy rotation pools to prevent node throttling in high-throughput agentic data extraction pipelines.
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Learn how to dynamically alter WebGL and Canvas fingerprints in headless browsers to improve success rates for AI web agents fetching public data.
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Learn how to choose the right data format for LLM grounding and AI agents to minimize token costs and maximize extraction accuracy in your data pipelines.
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Learn how to replace brittle CSS selectors with LLM-powered zero-shot JSON extraction to build resilient, autonomous web scraping pipelines that survive UI changes.
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Learn how to reliably handle infinite scroll, cursor-based pagination, and dynamic rendering for autonomous AI web scraping agents using headless browsers.
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Learn how to intercept and block network requests in Playwright to accelerate AI agent data extraction, reduce bandwidth, and capture raw API JSON payloads.
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Learn how to build a custom CrewAI tool that autonomously scrapes dynamic websites and returns structured JSON using a headless browser API.
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