{ "workflow": { "id": 5954, "name": "Monitor & alert on social media ad performance with Bright Data MCP", "views": 453, "recentViews": 0, "totalViews": 453, "createdAt": "2025-07-13T19:00:37.888Z", "description": "This workflow automatically monitors social media advertising performance across platforms to track campaign effectiveness and ROI. It saves you time by eliminating the need to manually check multiple ad platforms and provides consolidated performance data for all your social media campaigns.\n\n## Overview\n\nThis workflow automatically scrapes social media advertising platforms to extract campaign performance metrics including impressions, clicks, conversions, and cost data. It uses Bright Data to access ad platforms without being blocked and AI to intelligently parse advertising data into structured performance reports.\n\n## Tools Used\n\n- **n8n**: The automation platform that orchestrates the workflow\n- **Bright Data**: For scraping social ad platforms without being blocked\n- **OpenAI**: AI agent for intelligent ad performance data extraction and analysis\n- **Google Sheets**: For storing and organizing advertising performance data\n\n## How to Install\n\n1. **Import the Workflow**: Download the .json file and import it into your n8n instance\n2. **Configure Bright Data**: Add your Bright Data credentials to the MCP Client node\n3. **Set Up OpenAI**: Configure your OpenAI API credentials\n4. **Configure Google Sheets**: Connect your Google Sheets account and set up your ad performance tracking spreadsheet\n5. **Customize**: Set target ad platform URLs and campaign monitoring parameters\n\n## Use Cases\n\n- **Digital Marketing**: Track ROI and performance across all social media ad campaigns\n- **Performance Analysis**: Identify top-performing ads and optimize underperforming campaigns\n- **Budget Management**: Monitor ad spend and cost-per-acquisition metrics\n- **Campaign Optimization**: Make data-driven decisions for ad creative and targeting\n\n## Connect with Me\n\n- **Website**: https://www.nofluff.online\n- **YouTube**: https://www.youtube.com/@YaronBeen/videos\n- **LinkedIn**: https://www.linkedin.com/in/yaronbeen/\n- **Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission)\n\n#n8n #automation #socialads #adperformance #brightdata #webscraping #digitalmarketing #n8nworkflow #workflow #nocode #adautomation #campaigntracking #socialmediamarketing #adanalytics #performancetracking #marketingautomation #admonitoring #campaignanalysis #socialadvertising #marketingdata #admetrics #digitaladvertising #adoptimization #campaignmonitoring #marketinganalysis #adinsights #socialmediaads #paidads #adcampaigns #marketingroi", "workflow": { "id": "UGLIZpcTDotxu1nV", "meta": { "instanceId": "60046904b104f0f72b2629a9d88fe9f676be4035769f1f08dad1dd38a76b9480", "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": { "id": "credential-id", "name": "openAiApi Credential" } }, "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": { "id": "credential-id", "name": "mcpClientApi Credential" } }, "typeVersion": 1 }, { "id": "ee246d60-83c9-45bb-9537-65bc2054c561", "name": "πŸ” 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": "πŸ“₯ 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": "🧠 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": "πŸ”„ 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": "🚨 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": "πŸ“¬ Send Alert Email", "type": "n8n-nodes-base.gmail", "position": [ 1440, -100 ], "webhookId": "77e871d3-d676-4447-8d85-4c6e57f413c2", "parameters": { "sendTo": "user@example.com", "message": "=

πŸ“‰ 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": "🚨 Underperforming Ad Detected" }, "credentials": { "gmailOAuth2": { "id": "credential-id", "name": "gmailOAuth2 Credential" } }, "typeVersion": 2.1 }, { "id": "ec09018c-78e8-4c08-935b-d98e7b23ecbe", "name": "βœ… 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": "## 🧩 SECTION 1: **Trigger & Input Setup**\n\n**πŸ” Check Ads Every Hour** + **πŸ“₯ Set Query Input (Brand or URL)**\nπŸ“ *Nodes: `Schedule Trigger`, `Edit Fields`*\n\n### πŸ”§ What Happens:\n\n* **πŸ” Schedule Trigger** fires the workflow automatically (e.g., every hour).\n* **πŸ“₯ Edit Fields** lets you define what brand or keyword to track (e.g., β€œNike”).\n\n### πŸ§‘β€πŸ’Ό For Beginners:\n\nThis section is like setting the alarm clock ⏰ and telling the system **what you're looking for**.\nYou don’t need to codeβ€”just input the keyword (like β€œNike”) 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": "## πŸ€– SECTION 2: **Scrape Ads via AI Agent (Bright Data MCP)**\n\n**🧠 Scrape Ads via MCP Agent**\nπŸ“ *Node: `AI Agent` (with sub-nodes: `OpenAI Chat`, `MCP Client`, `Structured Output Parser`)*\n\n### πŸ”§ What Happens:\n\n* **🧠 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### πŸ€– Behind the Scenes:\n\n* πŸ” Logs in with mobile headers via Bright Data MCP\n* πŸ“„ Extracts only **relevant ad details**\n* πŸ€– Uses OpenAI model to structure & clean the output\n\n### πŸ§‘β€πŸ’Ό For Beginners:\n\nYou don’t 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": "## πŸ”Ž SECTION 3: **Process a Single Ad & Check If It's Underperforming**\n\n**πŸ”„ Return One Ad at a Time** + **🚨 Is Ad Underperforming?**\nπŸ“ *Nodes: `Code`, `If`*\n\n### πŸ”§ What Happens:\n\n* **πŸ”„ Code Node** reads the list of ads from the agent and **returns only one ad per run**.\n It uses **n8n’s memory** to remember which ad was shown last and avoids repeats.\n* **🚨 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### πŸ§‘β€πŸ’Ό For Beginners:\n\nThink of this like flipping through a file one page at a time πŸ“„.\nThe system checks each ad: β€œIs this one bad?”—if 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": "## πŸ“¬ SECTION 4: **Take Action Based on Ad Quality**\n\n**πŸ“¬ Send Alert Email** + **βœ… Do Nothing (Ad is OK)**\nπŸ“ *Nodes: `Gmail`, `No Operation`*\n\n### πŸ”§ What Happens:\n\n* If the ad is **underperforming**, the **πŸ“¬ Gmail Node** sends you an alert:\n\n * Ad Title\n * Performance stats (CTR, CPA)\n * Link to the media\n* If it’s performing well, the flow silently ends at **βœ… Do Nothing**.\n\n### πŸ§‘β€πŸ’Ό For Beginners:\n\nYou’ll get an email only **when action is needed**, so your inbox stays clean.\nIf the ad is fine, the workflow smartly does nothing βœ…β€”saving 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": "# 🚨 Smart Ad Monitor: Auto-Scrape Facebook Ads & Alert on Underperformance (via Bright Data MCP)\n---\n\n## 🎯 **Workflow Goal:**\n\nAutomatically monitor Facebook Ads (via Bright Data MCP), analyze performance, and send alerts if ads are underperforming.\n\n---\n\n## 🧩 SECTION 1: **Trigger & Input Setup**\n\n**πŸ” Check Ads Every Hour** + **πŸ“₯ Set Query Input (Brand or URL)**\nπŸ“ *Nodes: `Schedule Trigger`, `Edit Fields`*\n\n### πŸ”§ What Happens:\n\n* **πŸ” Schedule Trigger** fires the workflow automatically (e.g., every hour).\n* **πŸ“₯ Edit Fields** lets you define what brand or keyword to track (e.g., β€œNike”).\n\n### πŸ§‘β€πŸ’Ό For Beginners:\n\nThis section is like setting the alarm clock ⏰ and telling the system **what you're looking for**.\nYou don’t need to codeβ€”just input the keyword (like β€œNike”) and the rest is automatic.\n\n---\n\n## πŸ€– SECTION 2: **Scrape Ads via AI Agent (Bright Data MCP)**\n\n**🧠 Scrape Ads via MCP Agent**\nπŸ“ *Node: `AI Agent` (with sub-nodes: `OpenAI Chat`, `MCP Client`, `Structured Output Parser`)*\n\n### πŸ”§ What Happens:\n\n* **🧠 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### πŸ€– Behind the Scenes:\n\n* πŸ” Logs in with mobile headers via Bright Data MCP\n* πŸ“„ Extracts only **relevant ad details**\n* πŸ€– Uses OpenAI model to structure & clean the output\n\n### πŸ§‘β€πŸ’Ό For Beginners:\n\nYou don’t 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## πŸ”Ž SECTION 3: **Process a Single Ad & Check If It's Underperforming**\n\n**πŸ”„ Return One Ad at a Time** + **🚨 Is Ad Underperforming?**\nπŸ“ *Nodes: `Code`, `If`*\n\n### πŸ”§ What Happens:\n\n* **πŸ”„ Code Node** reads the list of ads from the agent and **returns only one ad per run**.\n It uses **n8n’s memory** to remember which ad was shown last and avoids repeats.\n* **🚨 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### πŸ§‘β€πŸ’Ό For Beginners:\n\nThink of this like flipping through a file one page at a time πŸ“„.\nThe system checks each ad: β€œIs this one bad?”—if yes, it takes action.\nIf no, it skips quietly.\n\n---\n\n## πŸ“¬ SECTION 4: **Take Action Based on Ad Quality**\n\n**πŸ“¬ Send Alert Email** + **βœ… Do Nothing (Ad is OK)**\nπŸ“ *Nodes: `Gmail`, `No Operation`*\n\n### πŸ”§ What Happens:\n\n* If the ad is **underperforming**, the **πŸ“¬ Gmail Node** sends you an alert:\n\n * Ad Title\n * Performance stats (CTR, CPA)\n * Link to the media\n* If it’s performing well, the flow silently ends at **βœ… Do Nothing**.\n\n### πŸ§‘β€πŸ’Ό For Beginners:\n\nYou’ll get an email only **when action is needed**, so your inbox stays clean.\nIf the ad is fine, the workflow smartly does nothing βœ…β€”saving time and distractions.\n\n---\n\n## 🌈 **Summary (with Icons)**\n\n| Section | Purpose | Icons |\n| ------------------------ | -------------------------------------- | -------- |\n| πŸ” **Trigger & Input** | Start on schedule, set query keyword | ⏰ πŸ“ |\n| πŸ€– **AI Agent Scraping** | Use Bright Data MCP to collect ad data | 🧠 πŸ“‘ πŸ“„ |\n| πŸ” **Ad Evaluation** | Check ad metrics one-by-one | πŸ”„ πŸ“Š |\n| πŸ“¬ **Action Section** | Alert via Gmail or do nothing | πŸ“§ βœ… |\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’ll receive a tiny commission if you join Bright Data through this linkβ€”thanks 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": { "id": "credential-id", "name": "openAiApi Credential" } }, "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 – 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, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "9cafbbb6-0fe7-4384-ac97-e1d781957885", "connections": { "MCP Client": { "ai_tool": [ [ { "node": "🧠 Scrape Ads via MCP Agent", "type": "ai_tool", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "🧠 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": "🧠 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 } ] ] }, "πŸ” Check Ads Every Hour": { "main": [ [ { "node": "πŸ“₯ Set facebook ad dashboard URL", "type": "main", "index": 0 } ] ] }, "🚨 Is Ad Underperforming?": { "main": [ [ { "node": "πŸ“¬ Send Alert Email", "type": "main", "index": 0 } ], [ { "node": "βœ… Do Nothing (Ad is OK)", "type": "main", "index": 0 } ] ] }, "πŸ”„ Return One Ad at a Time": { "main": [ [ { "node": "🚨 Is Ad Underperforming?", "type": "main", "index": 0 } ] ] }, "🧠 Scrape Ads via MCP Agent": { "main": [ [ { "node": "πŸ”„ Return One Ad at a Time", "type": "main", "index": 0 } ] ] }, "πŸ“₯ Set facebook ad dashboard URL": { "main": [ [ { "node": "🧠 Scrape Ads via MCP Agent", "type": "main", "index": 0 } ] ] } } }, "lastUpdatedBy": 29, "workflowInfo": { "nodeCount": 19, "nodeTypes": { "n8n-nodes-base.if": { "count": 1 }, "n8n-nodes-base.set": { "count": 1 }, "n8n-nodes-base.code": { "count": 1 }, "n8n-nodes-base.noOp": { "count": 1 }, "n8n-nodes-base.gmail": { "count": 1 }, "n8n-nodes-base.stickyNote": { "count": 7 }, "n8n-nodes-mcp.mcpClientTool": { "count": 1 }, "@n8n/n8n-nodes-langchain.agent": { "count": 1 }, "n8n-nodes-base.scheduleTrigger": { "count": 1 }, "@n8n/n8n-nodes-langchain.lmChatOpenAi": { "count": 2 }, "@n8n/n8n-nodes-langchain.outputParserAutofixing": { "count": 1 }, "@n8n/n8n-nodes-langchain.outputParserStructured": { "count": 1 } } }, "status": "published", "user": { "name": "Yaron Been", "username": "yaron-nofluff", "bio": "Building AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host\n\nIf you need any help with Automations, feel free to reach out via linkedin:\nhttps://www.linkedin.com/in/yaronbeen/\n\nAnd check out my Youtube channel:\nhttps://www.youtube.com/@YaronBeen/videos", "verified": true, "links": [ "https://www.nofluff.online/automation-services/" ], "avatar": "https://gravatar.com/avatar/a4e4dcaa1f76ff5266bbf80e8df86d22efda890474c68f7796e72fd82e3f2375?r=pg&d=retro&size=200" }, "nodes": [ { "id": 20, "icon": "fa:map-signs", "name": "n8n-nodes-base.if", "codex": { "data": { "alias": [ "Router", "Filter", "Condition", "Logic", "Boolean", "Branch" ], "details": "The IF node can be used to implement binary conditional logic in your workflow. You can set up one-to-many conditions to evaluate each item of data being inputted into the node. That data will either evaluate to TRUE or FALSE and route out of the node accordingly.\n\nThis node has multiple types of conditions: Bool, String, Number, and Date & Time.", "resources": { "generic": [ { "url": "https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/", "icon": "🏭", "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide" }, { "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/", "icon": "β˜€οΈ", "label": "2021: The Year to Automate the New You with n8n" }, { "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/", "icon": "🧬", "label": "Why business process automation with n8n can change your daily life" }, { "url": "https://n8n.io/blog/create-a-toxic-language-detector-for-telegram/", "icon": "🀬", "label": "Create a toxic language detector for Telegram in 4 step" }, { "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/", 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