Developer builds automated LinkedIn creator research pipeline for under $1 using Apify MCP

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A developer has built an end-to-end LinkedIn creator research workflow using the Apify Model Context Protocol (MCP) server integrated with Claude Code. The pipeline chains three tools — a LinkedIn posts scraper, a comments scraper, and a website content crawler — allowing an AI agent to discover and run each tool within a single session. In under 18 minutes and for approximately $0.69, the workflow produced a content playbook, an ideal customer profile derived from comment analysis, and a CSV of highly engaged commenters. The Apify MCP server exposes Actors as callable tools via a configurable URL, eliminating the need for manual data transfers between tabs or applications. The author notes the same prompt can be redirected at any public LinkedIn profile, including competitors or one's own account.

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