{ "workflow": { "id": 5961, "name": "Analyze Amazon purchase trends with Bright Data, OpenAI and Google Sheets", "views": 992, "recentViews": 0, "totalViews": 992, "createdAt": "2025-07-13T19:01:35.558Z", "description": "*This workflow contains community nodes that are only compatible with the self-hosted version of n8n.*\n\nThis workflow automatically analyzes purchase trends and consumer behavior patterns to identify market opportunities and optimize business strategies. It saves you time by eliminating the need to manually analyze sales data and provides insights into buying patterns, seasonal trends, and customer preferences.\n\n## Overview\n\nThis workflow automatically scrapes e-commerce platforms, marketplace data, and sales analytics to extract purchase trends, product popularity, and consumer behavior insights. It uses Bright Data to access sales data and AI to intelligently analyze purchasing patterns, seasonal trends, and market opportunities.\n\n## Tools Used\n\n- **n8n**: The automation platform that orchestrates the workflow\n- **Bright Data**: For scraping e-commerce and marketplace platforms without being blocked\n- **OpenAI**: AI agent for intelligent purchase trend analysis and forecasting\n- **Google Sheets**: For storing purchase trend data and analysis results\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 trend analysis spreadsheet\n5. **Customize**: Define target marketplaces and trend analysis parameters\n\n## Use Cases\n\n- **E-commerce Strategy**: Identify trending products and market opportunities\n- **Product Development**: Understand consumer preferences and demand patterns\n- **Marketing Planning**: Optimize campaigns based on seasonal purchase trends\n- **Business Intelligence**: Make data-driven decisions using market trend insights\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 #purchasetrends #marketanalysis #brightdata #webscraping #ecommerce #n8nworkflow #workflow #nocode #trendanalysis #consumerinsights #marketresearch #salesanalytics #businessintelligence #markettrends #customerinsights #ecommerceanalysis #salesdata #marketforecasting #consumerdata #purchaseanalysis #retailanalytics #marketinsights #demandforecasting #salestrends #consumertrends #marketintelligence #buyingpatterns #marketdemand", "workflow": { "id": "FtPQQBuZOQRWsWkH", "meta": { "instanceId": "60046904b104f0f72b2629a9d88fe9f676be4035769f1f08dad1dd38a76b9480", "templateCredsSetupCompleted": true }, "name": "18 Analyze Purchase Trends", "tags": [], "nodes": [ { "id": "1ab29609-739c-4f42-b398-d40e275d2531", "name": "When clicking โ€˜Execute workflowโ€™", "type": "n8n-nodes-base.manualTrigger", "position": [ 0, 0 ], "parameters": {}, "typeVersion": 1 }, { "id": "a4117e05-67bc-42be-ba31-4b75be46ef9f", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 480, 260 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "99c92ba4-9af0-4808-8f5a-5729ab7c922b", "name": "Fetch Amazon URLs from Google Sheets", "type": "n8n-nodes-base.googleSheets", "position": [ 220, 0 ], "parameters": { "options": {}, "sheetName": { "__rl": true, "mode": "list", "value": "gid=0", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/12ouaPrMp5HEKKctEhVmjmIBVSFu75P4NFFe20XKH9mM/edit#gid=0", "cachedResultName": "Sheet1" }, "documentId": { "__rl": true, "mode": "list", "value": "12ouaPrMp5HEKKctEhVmjmIBVSFu75P4NFFe20XKH9mM", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/12ouaPrMp5HEKKctEhVmjmIBVSFu75P4NFFe20XKH9mM/edit?usp=drivesdk", "cachedResultName": "Product purchase trends" } }, "credentials": { "googleSheetsOAuth2Api": { "id": "credential-id", "name": "googleSheetsOAuth2Api Credential" } }, "typeVersion": 4.6 }, { "id": "a9a77a78-e60c-4329-ba4a-697c806bbf5c", "name": "Amazon Product Analyzer (AI Agent)", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 500, 0 ], "parameters": { "text": "=extract the unit sold, current price, stock availability, review count & rating, sales rank and based on it's purchasing performance give it rating out of 10.\nBelow is the url of the amazon product:\n{{ $json.url }}", "options": {}, "promptType": "define", "hasOutputParser": true }, "typeVersion": 2 }, { "id": "353646b6-e2cb-42fd-aa8d-9d3c1693ef25", "name": "Tool: MCP Client (Bright Data)", "type": "n8n-nodes-mcp.mcpClientTool", "position": [ 660, 260 ], "parameters": { "toolName": "web_data_amazon_product", "operation": "executeTool", "toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}" }, "credentials": { "mcpClientApi": { "id": "credential-id", "name": "mcpClientApi Credential" } }, "typeVersion": 1 }, { "id": "8ef0d68c-c9f6-4fda-8421-318da2875715", "name": "Update Sheet with Product Insights", "type": "n8n-nodes-base.googleSheets", "position": [ 1040, 0 ], "parameters": { "columns": { "value": { "Ranking": "={{ $json.output[0].performance_rating }}", "Sales rank": "={{ $json.output[0].sales_rank }}", "Units sold": "={{ $json.output[0].units_sold_last_month }}", "row_number": "={{ $('Fetch Amazon URLs from Google Sheets').item.json.row_number }}", "Current price": "={{ $json.output[0].current_price }}", "Stock availability": "={{ $json.output[0].stock_status }}", "Review count & rating": "={{ $json.output[0].review_count }} & {{ $json.output[0].rating }}" }, "schema": [ { "id": "url", "type": "string", "display": true, "required": false, "displayName": "url", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Units sold", "type": "string", "display": true, "required": false, "displayName": "Units sold", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Current price", "type": "string", "display": true, "required": false, "displayName": "Current price", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Stock availability", "type": "string", "display": true, "required": false, "displayName": "Stock availability", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Review count & rating", "type": "string", "display": true, "required": false, "displayName": "Review count & rating", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Sales rank", "type": "string", "display": true, "required": false, "displayName": "Sales rank", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Ranking", "type": "string", "display": true, "required": false, "displayName": "Ranking", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "row_number", "type": "string", "display": true, "removed": false, "readOnly": true, "required": false, "displayName": "row_number", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [ "row_number" ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "update", "sheetName": { "__rl": true, "mode": "list", "value": "gid=0", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/12ouaPrMp5HEKKctEhVmjmIBVSFu75P4NFFe20XKH9mM/edit#gid=0", "cachedResultName": "Sheet1" }, "documentId": { "__rl": true, "mode": "list", "value": "12ouaPrMp5HEKKctEhVmjmIBVSFu75P4NFFe20XKH9mM", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/12ouaPrMp5HEKKctEhVmjmIBVSFu75P4NFFe20XKH9mM/edit?usp=drivesdk", "cachedResultName": "Product purchase trends" } }, "credentials": { "googleSheetsOAuth2Api": { "id": "credential-id", "name": "googleSheetsOAuth2Api Credential" } }, "typeVersion": 4.6 }, { "id": "f2b27f36-4860-4b98-8dac-1ca89192d7a4", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -40, -620 ], "parameters": { "color": 5, "width": 420, "height": 820, "content": "### ๐Ÿ”น **SECTION 1: Trigger & Read Product URLs**\n\n**Nodes Combined:**\n\n* `Start Workflow (Manual Trigger)`\n* `Fetch Amazon URLs from Google Sheets`\n\n๐Ÿ“Œ **What Happens Here:**\nWhen you click **\"Execute workflow\"**, the automation kicks off. It reads a list of Amazon product URLs from a connected **Google Sheet** โ€” each URL representing a product you want to analyze.\n\n๐Ÿง  **Why This Is Useful:**\nYou don't have to input product links manually every time. Just **paste your URLs in the Google Sheet**, and this step will automatically fetch them all. Perfect for monitoring dozens (or hundreds) of products.\n\n๐Ÿ“‹ **Fields Expected in Google Sheet:**\n\n* `URL` (Amazon product link)\n* *(Other columns will be auto-filled later)*\n\n๐Ÿ”ง **Icons Involved:**\n\n* โšก `Trigger`\n* ๐Ÿ“„ `Google Sheets`\n\n---\n\n" }, "typeVersion": 1 }, { "id": "20d538a0-6bec-4e2f-9d53-55a10c7f2236", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 460, -1120 ], "parameters": { "color": 3, "width": 340, "height": 1320, "content": "### ๐Ÿค– **SECTION 2: AI Agent + Scraper + Parser**\n\n**Node: `Amazon Product Analyzer (AI Agent)` + Sub-nodes:**\n\n* `OpenAI Chat Model`\n* `MCP Client (Bright Data)`\n* `Structured Output Parser`\n\n๐Ÿ“Œ **What Happens Here:**\n\n1. ๐Ÿ” The **AI Agent** passes each product URL to:\n\n * ๐Ÿ›ฐ๏ธ The **MCP Client**, which uses **Bright Data's Mobile Carrier Proxy** to scrape data safely from Amazon (bypassing detection).\n * ๐Ÿ“Š The **data collected** includes:\n\n * Units sold last month\n * Current price\n * Stock availability\n * Review count\n * Average rating\n * Sales rank\n\n2. ๐Ÿ’ฌ Then, the **OpenAI Chat Model** intelligently evaluates this data and gives a **performance rating out of 10**, simulating a product analyst's decision-making.\n\n3. ๐Ÿ“ฆ Finally, the **Structured Output Parser** transforms the AIโ€™s natural language response into **clean JSON fields** that n8n can write back to your Google Sheet.\n\n๐Ÿง  **Why This Is Useful:**\nThis section automates **competitive product research**, letting you know which products are worth stocking, promoting, or avoiding โ€” without manually checking every listing.\n\n๐Ÿ› ๏ธ **Icons Involved:**\n\n* ๐Ÿค– AI Agent\n* ๐Ÿง  OpenAI Chat\n* ๐ŸŒ MCP Scraper (Bright Data)\n* ๐Ÿ“ค JSON Parser\n\n---\n\n" }, "typeVersion": 1 }, { "id": "d6bd1b54-2b77-490f-acf8-001c94affccd", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 960, -720 ], "parameters": { "color": 6, "width": 260, "height": 920, "content": "### ๐Ÿ“ˆ **SECTION 3: Update Google Sheet with Final Data**\n\n**Node: `Update Sheet with Product Insights`**\n\n๐Ÿ“Œ **What Happens Here:**\nOnce scraping and AI evaluation are done, the workflow **updates the original Google Sheet** with all the new fields:\n\n| Column | Description |\n| ----------------------- | -------------------------------------------------- |\n| `Units Sold` | Estimated number of units sold in the last 30 days |\n| `Current Price` | Latest listed price on Amazon |\n| `Stock Availability` | Whether product is in stock, and how many units |\n| `Review Count & Rating` | Total reviews and average rating |\n| `Sales Rank` | Rank in overall and subcategory |\n| `Performance Rating` | AI-generated score out of 10 based on all factors |\n\n" }, "typeVersion": 1 }, { "id": "c696695f-78b4-4baf-83b6-7939311bf1b0", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 1280, -720 ], "parameters": { "color": 7, "width": 380, "height": 240, "content": "## Iโ€™ll receive a tiny commission if you join Bright Data through this linkโ€”thanks for fueling more free content!\n\n### https://get.brightdata.com/1tndi4600b25" }, "typeVersion": 1 }, { "id": "67d803eb-9a83-4fcd-8c73-e3f0f5bf6285", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ -1820, -620 ], "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": "adf14924-8511-4c24-878b-0c766f869ec0", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -1820, -280 ], "parameters": { "color": 4, "width": 1289, "height": 2298, "content": "## ๐Ÿš€ Amazon Product Performance Analyzer Workflow\n\n**Automate product research + scoring using AI, scraping, and Google Sheets.**\n\n---\n\n### ๐Ÿ”น **SECTION 1: Trigger & Read Product URLs**\n\n**Nodes Combined:**\n\n* `Start Workflow (Manual Trigger)`\n* `Fetch Amazon URLs from Google Sheets`\n\n๐Ÿ“Œ **What Happens Here:**\nWhen you click **\"Execute workflow\"**, the automation kicks off. It reads a list of Amazon product URLs from a connected **Google Sheet** โ€” each URL representing a product you want to analyze.\n\n๐Ÿง  **Why This Is Useful:**\nYou don't have to input product links manually every time. Just **paste your URLs in the Google Sheet**, and this step will automatically fetch them all. Perfect for monitoring dozens (or hundreds) of products.\n\n๐Ÿ“‹ **Fields Expected in Google Sheet:**\n\n* `URL` (Amazon product link)\n* *(Other columns will be auto-filled later)*\n\n๐Ÿ”ง **Icons Involved:**\n\n* โšก `Trigger`\n* ๐Ÿ“„ `Google Sheets`\n\n---\n\n### ๐Ÿค– **SECTION 2: AI Agent + Scraper + Parser**\n\n**Node: `Amazon Product Analyzer (AI Agent)` + Sub-nodes:**\n\n* `OpenAI Chat Model`\n* `MCP Client (Bright Data)`\n* `Structured Output Parser`\n\n๐Ÿ“Œ **What Happens Here:**\n\n1. ๐Ÿ” The **AI Agent** passes each product URL to:\n\n * ๐Ÿ›ฐ๏ธ The **MCP Client**, which uses **Bright Data's Mobile Carrier Proxy** to scrape data safely from Amazon (bypassing detection).\n * ๐Ÿ“Š The **data collected** includes:\n\n * Units sold last month\n * Current price\n * Stock availability\n * Review count\n * Average rating\n * Sales rank\n\n2. ๐Ÿ’ฌ Then, the **OpenAI Chat Model** intelligently evaluates this data and gives a **performance rating out of 10**, simulating a product analyst's decision-making.\n\n3. ๐Ÿ“ฆ Finally, the **Structured Output Parser** transforms the AIโ€™s natural language response into **clean JSON fields** that n8n can write back to your Google Sheet.\n\n๐Ÿง  **Why This Is Useful:**\nThis section automates **competitive product research**, letting you know which products are worth stocking, promoting, or avoiding โ€” without manually checking every listing.\n\n๐Ÿ› ๏ธ **Icons Involved:**\n\n* ๐Ÿค– AI Agent\n* ๐Ÿง  OpenAI Chat\n* ๐ŸŒ MCP Scraper (Bright Data)\n* ๐Ÿ“ค JSON Parser\n\n---\n\n### ๐Ÿ“ˆ **SECTION 3: Update Google Sheet with Final Data**\n\n**Node: `Update Sheet with Product Insights`**\n\n๐Ÿ“Œ **What Happens Here:**\nOnce scraping and AI evaluation are done, the workflow **updates the original Google Sheet** with all the new fields:\n\n| Column | Description |\n| ----------------------- | -------------------------------------------------- |\n| `Units Sold` | Estimated number of units sold in the last 30 days |\n| `Current Price` | Latest listed price on Amazon |\n| `Stock Availability` | Whether product is in stock, and how many units |\n| `Review Count & Rating` | Total reviews and average rating |\n| `Sales Rank` | Rank in overall and subcategory |\n| `Performance Rating` | AI-generated score out of 10 based on all factors |\n\n๐Ÿ“ˆ **Why This Is Useful:**\nNow your spreadsheet becomes a **live product intelligence dashboard**, perfect for:\n\n* ๐Ÿ‘จโ€๐Ÿ’ผ Product managers deciding what to sell\n* ๐Ÿ“ฆ Suppliers checking demand\n* ๐Ÿ“Š Marketers picking hot products to promote\n\n๐Ÿ› ๏ธ **Icon Involved:**\n\n* ๐Ÿ“ Google Sheets (Update Node)\n\n---\n\n## ๐Ÿ’ก Final Outcome:\n\nYour workflow is now a **smart Amazon trend analyzer**, delivering:\n\n* ๐Ÿ” Repeated product evaluation at scale\n* โฑ๏ธ Instant product scoring without manual research\n* ๐Ÿ“Š Clean, structured data ready for decision-making\n\n---\n\n" }, "typeVersion": 1 }, { "id": "14b5ab60-1fac-4728-8ab3-b52f3ef476cd", "name": "Auto-fixing Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing", "position": [ 800, 260 ], "parameters": { "options": {} }, "typeVersion": 1 }, { "id": "312c6667-4ee1-4a44-85a5-99e612928451", "name": "OpenAI Chat Model1", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 760, 480 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "a238a9f8-74ac-4a40-96fb-20c60f9b9dd9", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 940, 480 ], "parameters": { "jsonSchemaExample": "[\n {\n \"product_name\": \"UGREEN Revodok 105 USB-C Hub\",\n \"units_sold_last_month\": 8000,\n \"current_price\": 9.98,\n \"original_price\": 15.99,\n \"stock_status\": \"In Stock\",\n \"max_quantity_available\": 30,\n \"review_count\": 18381,\n \"rating\": 4.6,\n \"sales_rank\": {\n \"overall_category\": \"#11 in Computers & Accessories\",\n \"subcategory\": \"#2 in Laptop Docking Stations\"\n },\n \"performance_rating\": 9\n },\n {\n \"product_name\": \"Amazon Product (Unnamed)\",\n \"units_sold_last_month\": 7000,\n \"current_price\": 25.78,\n \"stock_status\": \"In Stock\",\n \"review_count\": 847,\n \"rating\": 4.7,\n \"sales_rank\": {\n \"overall_category\": \"#7 in Tablet Chargers & Adapters\"\n },\n \"performance_rating\": 8.5\n },\n {\n \"product_name\": \"UGREEN Power Bank 25,000mAh 145W Laptop Portable Charger\",\n \"seller\": \"UGREEN GROUP LIMITED\",\n \"units_sold_last_month\": 2000,\n \"current_price\": 69.99,\n \"original_price\": 99.99,\n \"discount_percent\": 30,\n \"stock_status\": \"In Stock\",\n \"review_count\": 3657,\n \"rating\": 4.4,\n \"sales_rank\": {\n \"overall_category\": \"#1,198 in Cell Phones & Accessories\",\n \"subcategory\": \"#105 in Cell Phone Portable Power Banks\"\n },\n \"performance_rating\": 8\n }\n]\n" }, "typeVersion": 1.2 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "9c19383b-cabd-4530-8c1b-19eec6c6fb4a", "connections": { "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Amazon Product Analyzer (AI Agent)", "type": "ai_languageModel", "index": 0 } ] ] }, "OpenAI Chat Model1": { "ai_languageModel": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_languageModel", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_outputParser", "index": 0 } ] ] }, "Auto-fixing Output Parser": { "ai_outputParser": [ [ { "node": "Amazon Product Analyzer (AI Agent)", "type": "ai_outputParser", "index": 0 } ] ] }, "Tool: MCP Client (Bright Data)": { "ai_tool": [ [ { "node": "Amazon Product Analyzer (AI Agent)", "type": "ai_tool", "index": 0 } ] ] }, "Amazon Product Analyzer (AI Agent)": { "main": [ [ { "node": "Update Sheet with Product Insights", "type": "main", "index": 0 } ] ] }, "Fetch Amazon URLs from Google Sheets": { "main": [ [ { "node": "Amazon Product Analyzer (AI Agent)", "type": "main", "index": 0 } ] ] }, "When clicking โ€˜Execute workflowโ€™": { "main": [ [ { "node": "Fetch Amazon URLs from Google Sheets", "type": "main", "index": 0 } ] ] } } }, "lastUpdatedBy": 62, "workflowInfo": { "nodeCount": 15, "nodeTypes": { "n8n-nodes-base.stickyNote": { "count": 6 }, "n8n-nodes-base.googleSheets": { "count": 2 }, "n8n-nodes-mcp.mcpClientTool": { "count": 1 }, "n8n-nodes-base.manualTrigger": { "count": 1 }, "@n8n/n8n-nodes-langchain.agent": { "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": 18, "icon": "file:googleSheets.svg", "name": "n8n-nodes-base.googleSheets", "codex": { "data": { "alias": [ "CSV", "Sheet", "Spreadsheet", "GS" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/love-at-first-sight-ricardos-n8n-journey/", "icon": "โค๏ธ", "label": "Love at first sight: Ricardoโ€™s n8n journey" }, { "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/", "icon": "๐Ÿงฌ", "label": "Why business process automation with n8n can change your daily life" }, { "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/", "icon": "๐Ÿงพ", "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n" }, { "url": "https://n8n.io/blog/supercharging-your-conference-registration-process-with-n8n/", "icon": "๐ŸŽซ", "label": "Supercharging your conference registration process with n8n" }, { "url": "https://n8n.io/blog/creating-triggers-for-n8n-workflows-using-polling/", "icon": "โฒ", "label": "Creating triggers for n8n workflows using polling" }, { "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/", "icon": "store", "label": "6 e-commerce workflows to power up your Shopify s" }, { "url": "https://n8n.io/blog/migrating-community-metrics-to-orbit-using-n8n/", "icon": "๐Ÿ“ˆ", "label": "Migrating Community Metrics to Orbit using n8n" }, { "url": "https://n8n.io/blog/automate-google-apps-for-productivity/", "icon": "๐Ÿ’ก", "label": "15 Google 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