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🔎 Web Scraping & ResearchSimple🧠 AI-powered

LinkedIn Competitor Researcher

A 10-step web scraping & research automation, triggered by schedule, connecting Anthropic Claude, Slack, Google Sheets, HTTP / REST API, with built-in AI reasoning.

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💡

What this does for your business

In plain terms: this gathers information from the web for you. It collects and organises data from Anthropic Claude, Slack, Google Sheets on a set schedule (e.g. daily) — competitor tracking, research, monitoring — and hands you the result.

10
Nodes
4
Integrations
9
Connections
Schedule
Trigger

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🏗️ Architecture diagram

The real node graph exported from n8n — triggers (green), AI nodes (violet), services and logic — laid out as they run.

▶Schedule TriggerscheduleTrigger🧠AnalysischainLlm•Group by Authorcode•Compute Metricscode•Build Promptset🧠Claude 3.7lmChatAnthropic💬Slackslack•Format Slackcode📊Get LinkedIn AccountsgoogleSheets🌐Scrape LinkedIn PostshttpRequest

⚙️ How it works

  1. Schedule Trigger · scheduleTrigger
  2. Claude 3.7 · lmChatAnthropic
  3. Get LinkedIn Accounts · googleSheets
  4. Analysis · chainLlm
  5. Scrape LinkedIn Posts · httpRequest
  6. Format Slack · code
  7. Group by Author · code
  8. Slack · slack
  9. Compute Metrics · code
  10. Build Prompt · set

💼 Business analysis

🎯

Business use case

An automated research/monitoring workflow that gathers external data (Anthropic Claude, Slack, Google Sheets, HTTP / REST API), structures it, and delivers insight on a schedule — competitor tracking, market monitoring, data collection.

📈

Market need

Timely external data (competitors, prices, trends) drives decisions, but collecting it by hand is impractical. Automated research is a durable need.

💰

Market value

Data/monitoring subscriptions run $50–$500/mo; the collection engine is the defensible core.

🧩 Integrations & stack

🧠Anthropic Claude💬Slack📊Google Sheets🌐HTTP / REST API
Node typesscheduleTrigger, chainLlm, code, set, lmChatAnthropic, slack, googleSheets, httpRequestWorkflow IDaa5PMjt2E2Un2SGf
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