{ "edges": [ { "to": "b8ae01a0-1c97-449f-abc0-88a84d3dbe7f", "from": "a5a04463-1e36-45ff-90bb-b1dccffa97d5", "toPort": "0", "fromPort": "ai_languageModel" }, { "to": "05ffe276-bdc7-4798-a0bb-f99b0e73590b", "from": "b8ae01a0-1c97-449f-abc0-88a84d3dbe7f", "toPort": "0", "fromPort": "0" }, { "to": "f87d4f6e-7d30-47f2-b854-99641f9c51dc", "from": "c90a2b9f-3647-4e3f-9540-7f298960f7c1", "toPort": "0", "fromPort": "0" }, { "to": "95abc443-7c72-4ad8-bcbb-6087f294115d", "from": "c90a2b9f-3647-4e3f-9540-7f298960f7c1", "toPort": "0", "fromPort": "1" }, { "to": "c90a2b9f-3647-4e3f-9540-7f298960f7c1", "from": "05ffe276-bdc7-4798-a0bb-f99b0e73590b", "toPort": "0", "fromPort": "0" }, { "to": "c90a2b9f-3647-4e3f-9540-7f298960f7c1", "from": "0629faa1-796a-4593-a12d-1c07244458f5", "toPort": "0", "fromPort": "0" }, { "to": "5e3296c3-9211-4c57-8067-353241fa2e81", "from": "95abc443-7c72-4ad8-bcbb-6087f294115d", "toPort": "0", "fromPort": "0" }, { "to": "b8ae01a0-1c97-449f-abc0-88a84d3dbe7f", "from": "b069b4cb-aaf8-4f7a-9889-2ecf7a86250d", "toPort": "0", "fromPort": "ai_outputParser" }, { "to": "b8ae01a0-1c97-449f-abc0-88a84d3dbe7f", "from": "5e3296c3-9211-4c57-8067-353241fa2e81", "toPort": "0", "fromPort": "0" }, { "to": "0629faa1-796a-4593-a12d-1c07244458f5", "from": "01d6695a-a665-4699-8b9d-52bbed741e63", "toPort": "0", "fromPort": "0" } ], "nodes": [ { "id": "01d6695a-a665-4699-8b9d-52bbed741e63", "name": "When clicking ‘Execute workflow’", "type": "manualTrigger", "params": {}, "position": [ -512, -48 ] }, { "id": "95abc443-7c72-4ad8-bcbb-6087f294115d", "name": "Run a workflow task", "type": "integration", "params": { "service": "browseract", "operation": "run", "workflowId": "56972105791704183", "__originalType": "n8n-nodes-browseract-workflows.browserAct", "inputParameters": { "parameters": [ { "name": "ProductName", "value": "={{ $json[\"Product name\"] }}" }, { "name": "Total_review", "value": "30" } ] }, "additionalFields": { "saveBrowserData": true } }, "position": [ 48, -32 ] }, { "id": "5e3296c3-9211-4c57-8067-353241fa2e81", "name": "Get details of a workflow task", "type": "integration", "params": { "taskId": "={{ $json.id }}", "service": "browseract", "operation": "getTask", "maxWaitTime": "=600", "waitForFinish": true, "__originalType": "n8n-nodes-browseract-workflows.browserAct" }, "position": [ 208, -32 ] }, { "id": "b8ae01a0-1c97-449f-abc0-88a84d3dbe7f", "name": "AI Agent", "type": "llm", "params": { "text": "=Analyze the following text, which consists of all scraped comments from a competitor's Product Hunt launch page. Your output must be formatted into two distinct, prioritized lists.\nConstraint 1 (Output Structure): The response must contain only the two headings and their corresponding bullet points.\nConstraint 2 (Insight Quality): The points must be succinct, summarizing the overall sentiment across the entire comment block.\n\nInput Data = {{ $json.output.string }}\n\nSummarize the feedback into two distinct lists. 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Your output must be formatted into two distinct, prioritized lists.\nConstraint 1 (Output Structure): The response must contain only the two headings and their corresponding bullet points.\nConstraint 2 (Insight Quality): The points must be succinct, summarizing the overall sentiment across the entire comment block.\n\nInput Data = {{ $json.output.string }}\n\nSummarize the feedback into two distinct lists. 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Do not add any introductory or concluding commentary." }, "provider": "openai", "promptType": "define", "approximated": true, "systemMessage": "You are a competitive intelligence analyst specializing in startup product launches. Your sole task is to analyze raw, unfiltered community comments and extract actionable insights. 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Scrape & summarize Product Hunt feedback with BrowserAct & Gemini AI