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Use Cases

Practical guides for common fastCRW workloads: AI agents, RAG pipelines, and self-hosted scraping.

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Web Scraping for Market Research

Use fastCRW to monitor competitors, track pricing changes, and analyze market trends from public web sources.

web scraping for market researchMonitor competitor websites for changes
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Web Scraping for AI Chat & RAG Pipelines

Use fastCRW to feed clean, structured web content into LLM chat interfaces and retrieval-augmented generation pipelines.

web scraping for rag pipelinesClean markdown output for LLM consumption
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Web Scraping for Deep Research

Use fastCRW for systematic web research with full-page extraction to build knowledge bases from the open web.

web scraping for deep researchSystematic multi-page extraction
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Web Scraping for Content Aggregation

Use fastCRW to crawl news sites, blogs, and forums to aggregate content for analysis, curation, or republishing.

web scraping for content aggregationCrawl entire sites for comprehensive coverage
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Web Scraping for Lead Enrichment

Use fastCRW to scrape company pages, directories, and public profiles to enrich CRM records with fresh data.

web scraping for lead enrichmentScrape company pages for firmographic data
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Self-Hosted Web Scraping API

Run fastCRW on your own infrastructure when you want a simple web scraping API without a heavy crawler stack.

self hosted web scraping apiSingle binary deployment
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Web Scraping API for AI Agents

Use fastCRW in AI-agent workflows that need fast scrape, crawl, and map calls without a heavy crawler stack.

web scraping api for ai agentsScrape, crawl, and map in one API
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Web Scraping for RAG Pipelines

Use fastCRW to turn websites into markdown and structured payloads for retrieval workflows without a heavy ingestion stack.

web scraping for rag pipelinesMarkdown output for cleaner documents
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