{ "edges": [ { "to": "16ed7f61-49a2-4339-92cf-97b99997c70c", "from": "080b7ff9-e6b8-4212-9006-e0a3f3656067", "toPort": "0", "fromPort": "ai_languageModel" }, { "to": "57d4a1fa-20d4-4029-91b3-7da67840900a", "from": "080b7ff9-e6b8-4212-9006-e0a3f3656067", "toPort": "0", "fromPort": "ai_languageModel" }, { "to": "dca8a02c-405c-4c7d-82da-556a7531a6e2", "from": "16ed7f61-49a2-4339-92cf-97b99997c70c", "toPort": "0", "fromPort": "0" }, { "to": "e2c42ca2-3e22-4cf0-b706-f3a3b17e2aa5", "from": "03a69bc4-91c0-4a96-9f34-16b89d6a4559", "toPort": "0", "fromPort": "ai_languageModel" }, { "to": "9d5af975-f526-4e0a-a76d-1dfd3a336bd6", "from": "03a69bc4-91c0-4a96-9f34-16b89d6a4559", "toPort": "0", "fromPort": "ai_languageModel" }, { "to": "16ed7f61-49a2-4339-92cf-97b99997c70c", "from": "57d4a1fa-20d4-4029-91b3-7da67840900a", "toPort": "0", "fromPort": "ai_outputParser" }, { "to": "0bf6563c-1614-4fae-a96c-a6930d58ffc3", "from": "e2c42ca2-3e22-4cf0-b706-f3a3b17e2aa5", "toPort": "0", "fromPort": "0" }, { "to": "a2c75ac5-c271-4806-a03a-50c77ea78e82", "from": "e2c42ca2-3e22-4cf0-b706-f3a3b17e2aa5", "toPort": "0", "fromPort": "0" }, { "to": "e2c42ca2-3e22-4cf0-b706-f3a3b17e2aa5", "from": "9d5af975-f526-4e0a-a76d-1dfd3a336bd6", "toPort": "0", "fromPort": "ai_outputParser" }, { "to": "e2c42ca2-3e22-4cf0-b706-f3a3b17e2aa5", "from": "2ed2ac7b-1a76-4214-9af5-cf250bb6e957", "toPort": "0", "fromPort": "0" }, { "to": "16ed7f61-49a2-4339-92cf-97b99997c70c", "from": "0bf6563c-1614-4fae-a96c-a6930d58ffc3", "toPort": "0", "fromPort": "0" } ], "nodes": [ { "id": "03a69bc4-91c0-4a96-9f34-16b89d6a4559", "name": "Validate inputs", "type": "llm", "params": { "options": {}, "provider": "google" }, "position": [ -400, 512 ] }, { "id": "57d4a1fa-20d4-4029-91b3-7da67840900a", "name": "Structured Output", "type": "passthrough", "params": { "mode": "noOp", "autoFix": true, "jsonSchemaExample": "{ \"TelegramText\": \"TelegramText\" }" }, "position": [ 704, 512 ] }, { "id": "e2c42ca2-3e22-4cf0-b706-f3a3b17e2aa5", "name": "Analyze user Input", "type": "llm", "params": { "text": "={{ $json.message.text }}", "prompt": "={{ $json.message.text }}", "options": { "systemMessage": "You are a precise data extraction engine.\n\nYour Task:\n1. Receive a user's natural language input (e.g., \"check ads for Higgsfield\" or \"spy on nike\").\n2. Extract the specific Company Name or Brand Name.\n3. Output the result in a strict JSON format.\n\nConstraints:\n- Do NOT output any conversational text, markdown, or explanations.\n- Do NOT output code blocks (like ```json). Just the raw JSON string.\n- If no company name is found, set \"company_name\" to null.\n\nOutput Structure:\nYou must output a single JSON object with this exact schema:\n{\n \"company_name\": \"String\"\n}\n\nExamples:\nInput: \"check if higgsfield is running ads\"\nOutput: { \"company_name\": \"Higgsfield\" }\n\nInput: \"i want to see ads for Coca Cola\"\nOutput: { \"company_name\": \"Coca Cola\" }\n\nInput: \"hello\"\nOutput: { \"company_name\": null }" }, "provider": "openai", "promptType": "define", "approximated": true, "systemMessage": "You are a precise data extraction engine.\n\nYour Task:\n1. Receive a user's natural language input (e.g., \"check ads for Higgsfield\" or \"spy on nike\").\n2. Extract the specific Company Name or Brand Name.\n3. Output the result in a strict JSON format.\n\nConstraints:\n- Do NOT output any conversational text, markdown, or explanations.\n- Do NOT output code blocks (like ```json). Just the raw JSON string.\n- If no company name is found, set \"company_name\" to null.\n\nOutput Structure:\nYou must output a single JSON object with this exact schema:\n{\n \"company_name\": \"String\"\n}\n\nExamples:\nInput: \"check if higgsfield is running ads\"\nOutput: { \"company_name\": \"Higgsfield\" }\n\nInput: \"i want to see ads for Coca Cola\"\nOutput: { \"company_name\": \"Coca Cola\" }\n\nInput: \"hello\"\nOutput: { \"company_name\": null }", "hasOutputParser": true }, "position": [ -400, 304 ] }, { "id": "9d5af975-f526-4e0a-a76d-1dfd3a336bd6", "name": "Structured Output1", "type": "passthrough", "params": { "mode": "noOp", "autoFix": true, "jsonSchemaExample": "{ \"company_name\": \"company_name\" }" }, "position": [ -288, 512 ] }, { "id": "dca8a02c-405c-4c7d-82da-556a7531a6e2", "name": "Send Message to User Chat", "type": "integration", "params": { "text": "={{ $json.output.TelegramText }}", "chatId": "=parameters.chatId=={{ $('User Sends Message to Bot').first().json.message.chat.id }} (Use Channel ID or Chat ID from the Telegram Trigger node)", "service": "telegram", "operation": "read", "additionalFields": { "parse_mode": "HTML" } }, "position": [ 1088, 304 ] }, { "id": "2ed2ac7b-1a76-4214-9af5-cf250bb6e957", "name": "User Sends Message to Bot", "type": "trigger", "params": { "kind": "n8n-nodes-base.telegramTrigger", "updates": [ "message" ], "additionalFields": {} }, "position": [ -576, 304 ] }, { "id": "0bf6563c-1614-4fae-a96c-a6930d58ffc3", "name": "Scrape Ads from Meta and Google", "type": "integration", "params": { "type": "WORKFLOW", "service": "browseract", "operation": "run", "workflowId": "70626184596326140", "__originalType": "n8n-nodes-browseract.browserAct", "workflowConfig": { "value": { "input-Company": "={{ $json.output.company_name }}" }, "schema": [ { "id": "input-Facebook_Ads", "type": "string", "display": true, "removed": true, "required": false, "description": "If left blank, the default value defined in BrowserAct will be used.", "displayName": "Facebook_Ads", "defaultMatch": true }, { "id": "input-Company", "type": "string", "display": true, "removed": false, "required": false, "description": "If left blank, the default value defined in BrowserAct will be used.", "displayName": "Company", "defaultMatch": true }, { "id": "input-Google_ads", "type": "string", "display": true, "removed": true, "required": false, "description": "If left blank, the default value defined in BrowserAct will be used.", "displayName": "Google_ads", "defaultMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [ "input-Company" ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "open_incognito_mode": false }, "position": [ 32, 304 ] }, { "id": "16ed7f61-49a2-4339-92cf-97b99997c70c", "name": "Process Ad Data", "type": "llm", "params": { "text": "={{ $json.output.string }}", "prompt": "={{ $json.output.string }}", "options": { "systemMessage": "You are a Senior Marketing Analyst Bot.\n\nYour Task:\n1. Analyze the provided JSON data of competitor advertisements.\n2. Determine if the user should advertise now based on the activity volume and recency.\n3. Generate a formatted HTML message strictly following the template below.\n\nConstraints:\n- Output ONLY the HTML string. Do not use Markdown (no ** or ##).\n- Do not wrap the output in code blocks (no ```html).\n- Use ONLY these Telegram-supported tags: , , , .\n- Keep the total length under 3000 characters.\n\nAnalysis Logic:\n- Count the total number of ad objects in the input list.\n- Check \"total_active_time\". If multiple ads say \"hrs\" (e.g. 14 hrs), the status is \"Active & Scaling\".\n- If the list is empty, the status is \"Inactive\".\n- Identify the strongest \"Call to Action\" or \"Hook\" from the descriptions.\n\nVerdict Logic:\n- If ads are recent (< 24h) and high volume (> 3): Verdict is \"ADVERTISE NOW\".\n- If ads are old or low volume: Verdict is \"WAIT / MONITOR\".\n\nOutput Structure:\nYou must strictly follow this HTML template. Replace [Bracketed Info] with your analysis:\n\n🚨 Competitor Intelligence: [Insert Company Name]\n\n📊 Activity Report\n• Ads Found: [Insert Count]\n• Status: [Insert Status]\n• Key Hook: [Insert Main Topic, e.g., Black Friday]\n\n🔥 Best Ad Copy Detected\n\"[Insert a short 1-sentence quote from the best ad]\"\n\n💡 STRATEGIC VERDICT: [ADVERTISE NOW / WAIT]\n[Insert 2 sentences explaining why. Example: They are spending heavily right now. You must compete.]\n\n---\nGenerated by Your AdSpy Bot\n\nsend it to output using this JSON :\n{ \"TelegramText\": \"TelegramText\" }" }, "provider": "openai", "promptType": "define", "approximated": true, "systemMessage": "You are a Senior Marketing Analyst Bot.\n\nYour Task:\n1. Analyze the provided JSON data of competitor advertisements.\n2. Determine if the user should advertise now based on the activity volume and recency.\n3. Generate a formatted HTML message strictly following the template below.\n\nConstraints:\n- Output ONLY the HTML string. Do not use Markdown (no ** or ##).\n- Do not wrap the output in code blocks (no ```html).\n- Use ONLY these Telegram-supported tags: , , , .\n- Keep the total length under 3000 characters.\n\nAnalysis Logic:\n- Count the total number of ad objects in the input list.\n- Check \"total_active_time\". If multiple ads say \"hrs\" (e.g. 14 hrs), the status is \"Active & Scaling\".\n- If the list is empty, the status is \"Inactive\".\n- Identify the strongest \"Call to Action\" or \"Hook\" from the descriptions.\n\nVerdict Logic:\n- If ads are recent (< 24h) and high volume (> 3): Verdict is \"ADVERTISE NOW\".\n- If ads are old or low volume: Verdict is \"WAIT / MONITOR\".\n\nOutput Structure:\nYou must strictly follow this HTML template. Replace [Bracketed Info] with your analysis:\n\n🚨 Competitor Intelligence: [Insert Company Name]\n\n📊 Activity Report\n• Ads Found: [Insert Count]\n• Status: [Insert Status]\n• Key Hook: [Insert Main Topic, e.g., Black Friday]\n\n🔥 Best Ad Copy Detected\n\"[Insert a short 1-sentence quote from the best ad]\"\n\n💡 STRATEGIC VERDICT: [ADVERTISE NOW / WAIT]\n[Insert 2 sentences explaining why. Example: They are spending heavily right now. You must compete.]\n\n---\nGenerated by Your AdSpy Bot\n\nsend it to output using this JSON :\n{ \"TelegramText\": \"TelegramText\" }", "hasOutputParser": true }, "position": [ 576, 304 ] }, { "id": "080b7ff9-e6b8-4212-9006-e0a3f3656067", "name": "Gemini", "type": "llm", "params": { "options": {}, "provider": "google" }, "position": [ 576, 528 ] }, { "id": "a2c75ac5-c271-4806-a03a-50c77ea78e82", "name": "Process Initialization Alert", "type": "integration", "params": { "text": "=Hello, ok i will look for {{ $json.output.company_name }} ads. i will be rigth back.", "chatId": "={{ $('User Sends Message to Bot').first().json.message.chat.id }}", "service": "telegram", "operation": "read", "additionalFields": {} }, "position": [ 32, 160 ] } ] }

Monitor competitor ad activity via Telegram with BrowserAct and Gemini