{ "id": "UGLIZpcTDotxu1nV", "meta": { "templateCredsSetupCompleted": true }, "name": "11 Monitor Social Ad Performance", "tags": [], "nodes": [ { "id": "72af5a15-95d1-488b-a9a8-6eb31dc6eb4c", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 460, 240 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "37046d2c-78fd-48fe-aa34-8151eadff9f0", "name": "MCP Client", "type": "n8n-nodes-mcp.mcpClientTool", "position": [ 600, 240 ], "parameters": { "toolName": "scrape_as_markdown", "operation": "executeTool", "toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}" }, "credentials": { "mcpClientApi": { "name": "" } }, "typeVersion": 1 }, { "id": "ee246d60-83c9-45bb-9537-65bc2054c561", "name": "\ud83d\udd01 Check Ads Every Hour", "type": "n8n-nodes-base.scheduleTrigger", "position": [ 0, 0 ], "parameters": { "rule": { "interval": [ { "field": "hours" } ] } }, "typeVersion": 1.2 }, { "id": "1ea00dae-2733-42af-8ad3-7560210a214d", "name": "\ud83d\udce5 Set facebook ad dashboard URL", "type": "n8n-nodes-base.set", "position": [ 220, 0 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "25ed5a8d-5316-493e-aa16-d93b1dfa9ba8", "name": "url", "type": "string", "value": "https://www.facebook.com/ads/library/?active_status=all&ad_type=all&country=US&q=nike&sort_data[direction]=desc&sort_data[mode]=relevancy_monthly_grouped" } ] } }, "typeVersion": 3.4 }, { "id": "61aceca9-5347-462f-b037-b0f89db55f87", "name": "\ud83e\udde0 Scrape Ads via MCP Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 480, 0 ], "parameters": { "text": "=scrape the data from the from facebook ads dashboard:\n{{ $json.url }}", "options": {}, "promptType": "define", "hasOutputParser": true }, "typeVersion": 2 }, { "id": "5ce15013-60bf-41b2-afa3-bfbdc014c007", "name": "\ud83d\udd04 Return One Ad at a Time", "type": "n8n-nodes-base.code", "position": [ 920, 0 ], "parameters": { "jsCode": "// Input: full JSON from agent, stored in $json\n// Assumes: $json.ads is an array of ad objects\n\nconst ads = $json.ads;\n\n// Return only the first ad\nif (ads && ads.length > 0) {\n return [ads[0]];\n} else {\n return []; // no ads found\n}\n" }, "typeVersion": 2 }, { "id": "c4f10143-aac8-44c9-b02f-9c6262d5a442", "name": "\ud83d\udea8 Is Ad Underperforming?", "type": "n8n-nodes-base.if", "position": [ 1100, 0 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "bc9e2914-a4df-4a01-a093-a788dff98603", "operator": { "type": "number", "operation": "lt" }, "leftValue": "={{ $json.estimated_ctr }}", "rightValue": 1 }, { "id": "aa6b27ad-9603-486d-b063-12712082c555", "operator": { "type": "number", "operation": "gt" }, "leftValue": "={{ $json.estimated_cpa }}", "rightValue": 10 } ] } }, "typeVersion": 2.2 }, { "id": "7d6e60e6-4d6a-4fc8-a63b-0b301d6ebf10", "name": "\ud83d\udcec Send Alert Email", "type": "n8n-nodes-base.gmail", "position": [ 1440, -100 ], "parameters": { "sendTo": "user@example.com", "message": "=

\ud83d\udcc9 Ad Alert: Performance Below Threshold

Ad Title: {{$json.ad_title}}

Status: {{$json.status}}

Estimated CTR: {{$json.estimated_ctr}}%

Estimated CPA: ${{$json.estimated_cpa}}

Start Date: {{$json.start_date}}

Platforms: {{$json.platforms.join(', ')}}

Ad Text:
{{$json.ad_text}}

View Media

", "options": {}, "subject": "\ud83d\udea8 Underperforming Ad Detected" }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 2.1 }, { "id": "ec09018c-78e8-4c08-935b-d98e7b23ecbe", "name": "\u2705 Do Nothing (Ad is OK)", "type": "n8n-nodes-base.noOp", "position": [ 1440, 100 ], "parameters": {}, "typeVersion": 1 }, { "id": "f5749714-9f5b-4230-9314-68555ce76171", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -60, -700 ], "parameters": { "color": 2, "width": 420, "height": 880, "content": "## \ud83e\udde9 SECTION 1: **Trigger & Input Setup**\n\n**\ud83d\udd01 Check Ads Every Hour** + **\ud83d\udce5 Set Query Input (Brand or URL)**\n\ud83d\udccd *Nodes: `Schedule Trigger`, `Edit Fields`*\n\n### \ud83d\udd27 What Happens:\n\n* **\ud83d\udd01 Schedule Trigger** fires the workflow automatically (e.g., every hour).\n* **\ud83d\udce5 Edit Fields** lets you define what brand or keyword to track (e.g., \u201cNike\u201d).\n\n### \ud83e\uddd1\u200d\ud83d\udcbc For Beginners:\n\nThis section is like setting the alarm clock \u23f0 and telling the system **what you're looking for**.\nYou don\u2019t need to code\u2014just input the keyword (like \u201cNike\u201d) and the rest is automatic.\n\n---\n\n" }, "typeVersion": 1 }, { "id": "a4fc03cf-b7a2-4612-aeab-c17ac3069486", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 440, -1080 ], "parameters": { "color": 5, "width": 320, "height": 1260, "content": "## \ud83e\udd16 SECTION 2: **Scrape Ads via AI Agent (Bright Data MCP)**\n\n**\ud83e\udde0 Scrape Ads via MCP Agent**\n\ud83d\udccd *Node: `AI Agent` (with sub-nodes: `OpenAI Chat`, `MCP Client`, `Structured Output Parser`)*\n\n### \ud83d\udd27 What Happens:\n\n* **\ud83e\udde0 AI Agent** uses Bright Data MCP to simulate a real user and scrape ad data from the Facebook Ads Library.\n* It sends the query input from Section 1 and fetches ad performance data (CTR, CPA, media, text, etc.).\n* The result is parsed cleanly into JSON.\n\n### \ud83e\udd16 Behind the Scenes:\n\n* \ud83d\udd10 Logs in with mobile headers via Bright Data MCP\n* \ud83d\udcc4 Extracts only **relevant ad details**\n* \ud83e\udd16 Uses OpenAI model to structure & clean the output\n\n### \ud83e\uddd1\u200d\ud83d\udcbc For Beginners:\n\nYou don\u2019t have to worry about scraping code or browser automation.\nThis **AI Agent does the dirty work**, like a robot assistant crawling Facebook ads and bringing back a summary of ad performance.\n\n---\n\n" }, "typeVersion": 1 }, { "id": "79a75c43-404f-426c-bbc5-c3ea755cde3f", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 880, -920 ], "parameters": { "color": 6, "width": 340, "height": 1100, "content": "## \ud83d\udd0e SECTION 3: **Process a Single Ad & Check If It's Underperforming**\n\n**\ud83d\udd04 Return One Ad at a Time** + **\ud83d\udea8 Is Ad Underperforming?**\n\ud83d\udccd *Nodes: `Code`, `If`*\n\n### \ud83d\udd27 What Happens:\n\n* **\ud83d\udd04 Code Node** reads the list of ads from the agent and **returns only one ad per run**.\n It uses **n8n\u2019s memory** to remember which ad was shown last and avoids repeats.\n* **\ud83d\udea8 If Node** checks:\n\n * Is CTR less than 1%?\n * Is CPA greater than \\$10?\n\nIf both are true, it's considered **underperforming**.\n\n### \ud83e\uddd1\u200d\ud83d\udcbc For Beginners:\n\nThink of this like flipping through a file one page at a time \ud83d\udcc4.\nThe system checks each ad: \u201cIs this one bad?\u201d\u2014if yes, it takes action.\nIf no, it skips quietly.\n\n---\n\n" }, "typeVersion": 1 }, { "id": "7b51b10e-00d7-42d9-b699-d28732f04943", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 1360, -1040 ], "parameters": { "color": 3, "width": 280, "height": 1280, "content": "## \ud83d\udcec SECTION 4: **Take Action Based on Ad Quality**\n\n**\ud83d\udcec Send Alert Email** + **\u2705 Do Nothing (Ad is OK)**\n\ud83d\udccd *Nodes: `Gmail`, `No Operation`*\n\n### \ud83d\udd27 What Happens:\n\n* If the ad is **underperforming**, the **\ud83d\udcec Gmail Node** sends you an alert:\n\n * Ad Title\n * Performance stats (CTR, CPA)\n * Link to the media\n* If it\u2019s performing well, the flow silently ends at **\u2705 Do Nothing**.\n\n### \ud83e\uddd1\u200d\ud83d\udcbc For Beginners:\n\nYou\u2019ll get an email only **when action is needed**, so your inbox stays clean.\nIf the ad is fine, the workflow smartly does nothing \u2705\u2014saving time and distractions.\n\n---\n\n" }, "typeVersion": 1 }, { "id": "a496134d-ecc0-4f90-bdd9-0e0cd102794d", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ -1960, -680 ], "parameters": { "color": 4, "width": 1300, "height": 320, "content": "=======================================\n WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n - YouTube: https://www.youtube.com/@YaronBeen/videos\n - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n" }, "typeVersion": 1 }, { "id": "4652568e-1bcc-4ba8-bcaa-79043084b1a3", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -1960, -340 ], "parameters": { "color": 4, "width": 1289, "height": 2778, "content": "# \ud83d\udea8 Smart Ad Monitor: Auto-Scrape Facebook Ads & Alert on Underperformance (via Bright Data MCP)\n---\n\n## \ud83c\udfaf **Workflow Goal:**\n\nAutomatically monitor Facebook Ads (via Bright Data MCP), analyze performance, and send alerts if ads are underperforming.\n\n---\n\n## \ud83e\udde9 SECTION 1: **Trigger & Input Setup**\n\n**\ud83d\udd01 Check Ads Every Hour** + **\ud83d\udce5 Set Query Input (Brand or URL)**\n\ud83d\udccd *Nodes: `Schedule Trigger`, `Edit Fields`*\n\n### \ud83d\udd27 What Happens:\n\n* **\ud83d\udd01 Schedule Trigger** fires the workflow automatically (e.g., every hour).\n* **\ud83d\udce5 Edit Fields** lets you define what brand or keyword to track (e.g., \u201cNike\u201d).\n\n### \ud83e\uddd1\u200d\ud83d\udcbc For Beginners:\n\nThis section is like setting the alarm clock \u23f0 and telling the system **what you're looking for**.\nYou don\u2019t need to code\u2014just input the keyword (like \u201cNike\u201d) and the rest is automatic.\n\n---\n\n## \ud83e\udd16 SECTION 2: **Scrape Ads via AI Agent (Bright Data MCP)**\n\n**\ud83e\udde0 Scrape Ads via MCP Agent**\n\ud83d\udccd *Node: `AI Agent` (with sub-nodes: `OpenAI Chat`, `MCP Client`, `Structured Output Parser`)*\n\n### \ud83d\udd27 What Happens:\n\n* **\ud83e\udde0 AI Agent** uses Bright Data MCP to simulate a real user and scrape ad data from the Facebook Ads Library.\n* It sends the query input from Section 1 and fetches ad performance data (CTR, CPA, media, text, etc.).\n* The result is parsed cleanly into JSON.\n\n### \ud83e\udd16 Behind the Scenes:\n\n* \ud83d\udd10 Logs in with mobile headers via Bright Data MCP\n* \ud83d\udcc4 Extracts only **relevant ad details**\n* \ud83e\udd16 Uses OpenAI model to structure & clean the output\n\n### \ud83e\uddd1\u200d\ud83d\udcbc For Beginners:\n\nYou don\u2019t have to worry about scraping code or browser automation.\nThis **AI Agent does the dirty work**, like a robot assistant crawling Facebook ads and bringing back a summary of ad performance.\n\n---\n\n## \ud83d\udd0e SECTION 3: **Process a Single Ad & Check If It's Underperforming**\n\n**\ud83d\udd04 Return One Ad at a Time** + **\ud83d\udea8 Is Ad Underperforming?**\n\ud83d\udccd *Nodes: `Code`, `If`*\n\n### \ud83d\udd27 What Happens:\n\n* **\ud83d\udd04 Code Node** reads the list of ads from the agent and **returns only one ad per run**.\n It uses **n8n\u2019s memory** to remember which ad was shown last and avoids repeats.\n* **\ud83d\udea8 If Node** checks:\n\n * Is CTR less than 1%?\n * Is CPA greater than \\$10?\n\nIf both are true, it's considered **underperforming**.\n\n### \ud83e\uddd1\u200d\ud83d\udcbc For Beginners:\n\nThink of this like flipping through a file one page at a time \ud83d\udcc4.\nThe system checks each ad: \u201cIs this one bad?\u201d\u2014if yes, it takes action.\nIf no, it skips quietly.\n\n---\n\n## \ud83d\udcec SECTION 4: **Take Action Based on Ad Quality**\n\n**\ud83d\udcec Send Alert Email** + **\u2705 Do Nothing (Ad is OK)**\n\ud83d\udccd *Nodes: `Gmail`, `No Operation`*\n\n### \ud83d\udd27 What Happens:\n\n* If the ad is **underperforming**, the **\ud83d\udcec Gmail Node** sends you an alert:\n\n * Ad Title\n * Performance stats (CTR, CPA)\n * Link to the media\n* If it\u2019s performing well, the flow silently ends at **\u2705 Do Nothing**.\n\n### \ud83e\uddd1\u200d\ud83d\udcbc For Beginners:\n\nYou\u2019ll get an email only **when action is needed**, so your inbox stays clean.\nIf the ad is fine, the workflow smartly does nothing \u2705\u2014saving time and distractions.\n\n---\n\n## \ud83c\udf08 **Summary (with Icons)**\n\n| Section | Purpose | Icons |\n| ------------------------ | -------------------------------------- | -------- |\n| \ud83d\udd01 **Trigger & Input** | Start on schedule, set query keyword | \u23f0 \ud83d\udcdd |\n| \ud83e\udd16 **AI Agent Scraping** | Use Bright Data MCP to collect ad data | \ud83e\udde0 \ud83d\udce1 \ud83d\udcc4 |\n| \ud83d\udd0d **Ad Evaluation** | Check ad metrics one-by-one | \ud83d\udd04 \ud83d\udcca |\n| \ud83d\udcec **Action Section** | Alert via Gmail or do nothing | \ud83d\udce7 \u2705 |\n\n---\n\n" }, "typeVersion": 1 }, { "id": "9bf1083f-82d7-4a5d-8006-b160e97ca7a9", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 1720, -1040 ], "parameters": { "color": 7, "width": 380, "height": 240, "content": "## I\u2019ll receive a tiny commission if you join Bright Data through this link\u2014thanks for fueling more free content!\n\n### https://get.brightdata.com/1tndi4600b25" }, "typeVersion": 1 }, { "id": "58f73834-e35a-42d3-9385-76ee106eeb1d", "name": "Auto-fixing Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing", "position": [ 740, 240 ], "parameters": { "options": {} }, "typeVersion": 1 }, { "id": "4337a0cc-b008-494b-ae51-ada351830438", "name": "OpenAI Chat Model1", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 700, 460 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "df736167-a084-49b2-bca8-1e9b12862f79", "name": "Structured Output Parser1", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 880, 460 ], "parameters": { "jsonSchemaExample": "{\n \"ads\": [\n {\n \"ad_id\": \"1234567890\",\n \"advertiser\": \"Nike\",\n \"ad_title\": \"Just Do It - Air Max 2025\",\n \"platforms\": [\"Facebook\", \"Instagram\"],\n \"status\": \"Active\",\n \"start_date\": \"2025-06-25\",\n \"ad_text\": \"Feel the future. Experience Air Max like never before.\",\n \"media_type\": \"Image\",\n \"media_url\": \"https://example.com/ad1.jpg\",\n \"impressions\": 150000,\n \"engagement\": {\n \"likes\": 1200,\n \"shares\": 300,\n \"comments\": 220\n },\n \"estimated_ctr\": 0.85,\n \"estimated_cpa\": 11.20\n },\n {\n \"ad_id\": \"0987654321\",\n \"advertiser\": \"Nike\",\n \"ad_title\": \"Nike Running Club Promo\",\n \"platforms\": [\"Facebook\"],\n \"status\": \"Active\",\n \"start_date\": \"2025-06-20\",\n \"ad_text\": \"Join the Nike Running Club and push your limits.\",\n \"media_type\": \"Video\",\n \"media_url\": \"https://example.com/ad2.mp4\",\n \"impressions\": 80000,\n \"engagement\": {\n \"likes\": 600,\n \"shares\": 80,\n \"comments\": 95\n },\n \"estimated_ctr\": 0.45,\n \"estimated_cpa\": 15.90\n },\n {\n \"ad_id\": \"1122334455\",\n \"advertiser\": \"Nike\",\n \"ad_title\": \"Summer Sale \u2013 Up to 40% Off!\",\n \"platforms\": [\"Messenger\", \"Instagram\"],\n \"status\": \"Inactive\",\n \"start_date\": \"2025-06-10\",\n \"ad_text\": \"Heat up your summer with big savings on Nike gear.\",\n \"media_type\": \"Image\",\n \"media_url\": \"https://example.com/ad3.jpg\",\n \"impressions\": 200000,\n \"engagement\": {\n \"likes\": 1900,\n \"shares\": 410,\n \"comments\": 350\n },\n \"estimated_ctr\": 1.20,\n \"estimated_cpa\": 7.60\n }\n ],\n \"scraped_at\": \"2025-06-30T20:50:00Z\"\n}\n" }, "typeVersion": 1.2 } ], "active": false, "settings": { "executionOrder": "v1" }, "versionId": "9cafbbb6-0fe7-4384-ac97-e1d781957885", "connections": { "MCP Client": { "ai_tool": [ [ { "node": "\ud83e\udde0 Scrape Ads via MCP Agent", "type": "ai_tool", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "\ud83e\udde0 Scrape Ads via MCP Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "OpenAI Chat Model1": { "ai_languageModel": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_languageModel", "index": 0 } ] ] }, "Auto-fixing Output Parser": { "ai_outputParser": [ [ { "node": "\ud83e\udde0 Scrape Ads via MCP Agent", "type": "ai_outputParser", "index": 0 } ] ] }, "Structured Output Parser1": { "ai_outputParser": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_outputParser", "index": 0 } ] ] }, "\ud83d\udd01 Check Ads Every Hour": { "main": [ [ { "node": "\ud83d\udce5 Set facebook ad dashboard URL", "type": "main", "index": 0 } ] ] }, "\ud83d\udea8 Is Ad Underperforming?": { "main": [ [ { "node": "\ud83d\udcec Send Alert Email", "type": "main", "index": 0 } ], [ { "node": "\u2705 Do Nothing (Ad is OK)", "type": "main", "index": 0 } ] ] }, "\ud83d\udd04 Return One Ad at a Time": { "main": [ [ { "node": "\ud83d\udea8 Is Ad Underperforming?", "type": "main", "index": 0 } ] ] }, "\ud83e\udde0 Scrape Ads via MCP Agent": { "main": [ [ { "node": "\ud83d\udd04 Return One Ad at a Time", "type": "main", "index": 0 } ] ] }, "\ud83d\udce5 Set facebook ad dashboard URL": { "main": [ [ { "node": "\ud83e\udde0 Scrape Ads via MCP Agent", "type": "main", "index": 0 } ] ] } } }