Hand-picked workflows from the blog: agent-ready scraping, RAG architectures that survive 100k documents, lead pipelines, and the trade-offs between Apify and its alternatives.
PlaybookUpdated April 2026
A complete pipeline: Apify scrapes the source list, Claude enriches and scores each lead, HubSpot closes the loop. Numbers from a live deployment so you can sanity-check the unit economics before you build.
Read the article →ArchitectureUpdated April 2026
Chunking, embeddings, retrieval, evaluation. The trade-offs that decide whether your RAG system survives 100,000 documents, plus the failure modes most starter guides skip.
Read the article →AutomationUpdated March 2026
Wire Apify Actors into n8n for lead gen, price monitoring, job alerts, and AI data pipelines. No custom backend, no glue code, just the integration patterns that hold up in production.
Read the article →ComparisonUpdated March 2026
Free tiers and open-source frameworks tested on the same target site. Which ones hold up under real workloads, where each one breaks, and the upgrade path when you outgrow free.
Read the article →MCPUpdated March 2026
Set up the Apify MCP server in Claude Desktop, Cursor, or VS Code. One-click OAuth gives your AI assistant live access to any of the 30,000+ Apify Actors.
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