{ "workflow": { "id": 5973, "name": "Track regional sentiment from social media with Bright Data & OpenAI", "views": 376, "recentViews": 0, "totalViews": 376, "createdAt": "2025-07-13T19:03:11.100Z", "description": "*This workflow contains community nodes that are only compatible with the self-hosted version of n8n.*\n\nThis workflow automatically tracks regional sentiment across social media and news outlets, giving you a real-time pulse on how people in a specific area feel about your brand or topic.\n\n## Overview\n\nThe automation queries Twitter, Reddit, and major news APIs filtered by geolocation. Bright Data handles location-specific scraping where APIs are limited. OpenAI performs sentiment and keyword extraction, aggregating scores into a daily report stored in Google Sheets and visualized in Data Studio.\n\n## Tools Used\n\n- **n8n** – Coordinates all steps\n- **Bright Data** – Collects geo-targeted data beyond API limits\n- **OpenAI** – Runs sentiment analysis and topic modeling\n- **Google Sheets** – Houses cleaned sentiment metrics\n- **Data Studio / Looker** – Optional dashboard for visualization\n\n## How to Install\n\n1. **Import the Workflow** into n8n with the provided `.json`.\n2. **Configure Bright Data** credentials.\n3. **Set Up OpenAI** API key.\n4. **Connect Google Sheets** and create a destination spreadsheet.\n5. **Customize Regions & Keywords** in the Start node.\n\n## Use Cases\n\n- **Brand Monitoring**: Measure public opinion in target markets.\n- **Political Campaigns**: Gauge voter sentiment by district.\n- **Market Entry**: Understand regional attitudes before launching.\n- **Crisis Management**: Detect negative spikes early.\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 #sentimentanalysis #geolocation #brightdata #openai #sociallistening #n8nworkflow #nocode #brandmonitoring", "workflow": { "id": "M7Yn4F1dlwkiUFNt", "meta": { "instanceId": "c38e3b8a7e4240e6cdca062743f016c1029f385bf40345b6291939dfd83bfd77", "templateCredsSetupCompleted": true }, "name": "30 Track Regional Sentiment", "tags": [], "nodes": [ { "id": "a1c3cd68-4f17-4b37-a65d-aa2708eb037d", "name": "🔘 Trigger: Manual Execution", "type": "n8n-nodes-base.manualTrigger", "position": [ -440, -100 ], "parameters": {}, "typeVersion": 1 }, { "id": "45d63021-fdb1-449f-a588-fc1263d9ebd0", "name": "🌐 Set Yelp URL (Weather Posts - Los Angeles)", "type": "n8n-nodes-base.set", "position": [ -240, -100 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "01728220-5a24-45b8-aa1c-54d5ea541d7c", "name": "URL", "type": "string", "value": "https://www.yelp.com/search?find_desc=weather&find_loc=Los+Angeles%2C+CA%2C+United+States" } ] } }, "typeVersion": 3.4 }, { "id": "254f2185-722c-4bf8-85e1-87a36ab88371", "name": "💬 AI Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -60, 160 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "8af55964-2e46-4bff-bcce-51a474e5acdc", "name": "🌐 MCP Client: Scrape Weather Posts Data", "type": "n8n-nodes-mcp.mcpClientTool", "position": [ 80, 160 ], "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": "fed36ea2-824e-4052-a58a-a6c9be121f8d", "name": "🤖 AI Agent: Scrape Yelp Weather Posts and tailor campaigns", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 20, -100 ], "parameters": { "text": "=You are a data extraction agent.\n\nScrape the following Yelp search page for weather-related content in Los Angeles:\n{{ $json.URL }}\n\nFor each business or post, extract the following details:\n\n- `business_name`: The name of the business or event.\n- `location`: The location of the business or event.\n- `rating`: The Yelp rating of the business.\n- `reviews_count`: The number of reviews the business has.\n- `post_text`: The description or content provided about the weather (if available).\n- `weather_related`: Any mention, problem, or fun of weather in the description or reviews (if available).\n\nAdditionally, perform **sentiment analysis** on the extracted weather-related text, and categorize the sentiment as **Positive**, **Negative**, or **Neutral**.\n\nBased on the sentiment, create a **tailored campaign** for each weather-related post:\n- **Positive Sentiment**: Recommend promoting **outdoor activities** or **sunny weather products** (e.g., sunscreen, sunglasses).\n- **Negative Sentiment**: Suggest offering **rain-related products**, **indoor activities**, or **solutions** (e.g., umbrellas, warm drinks).\n- **Neutral Sentiment**: Suggest promoting **general services** or **upcoming events**.\n\n", "options": {}, "promptType": "define", "hasOutputParser": true }, "typeVersion": 2 }, { "id": "56af8e64-3846-4002-b421-99e932cf22a2", "name": "📋 Create Trello Card for Weather Campaign", "type": "n8n-nodes-base.trello", "position": [ 480, -100 ], "parameters": { "name": "Campaign ", "description": "=Campaign for weather in los Angeles:\nTitle : {{ $json.output[0].trello_card.title }}\n\nLocation : {{ $json.output[0].location }}\n\nDescription: {{ $json.output[0].trello_card.description }}\n\n", "additionalFields": { "due": "" } }, "typeVersion": 1 }, { "id": "e733ffb4-a7c2-423c-af5b-cd0e973f0f5d", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -480, -820 ], "parameters": { "color": 2, "width": 400, "height": 900, "content": "-### 🔹 **SECTION 1: Input URL & Trigger Workflow**\n\n#### 🧩 **Nodes:**\n\n1. **⚡ Trigger: Manual Execution**\n\n * *New Name:* `🔘 Trigger: Execute Workflow`\n\n2. **📝 Set Yelp URL for Weather Posts in Los Angeles**\n\n * *New Name:* `🌐 Set Yelp URL (Weather Posts - Los Angeles)`\n\n#### 💡 **What Happens:**\n\n1. **Trigger the Workflow:** You manually **start the workflow** by clicking the **\"Execute\"** button in n8n.\n\n2. **Input the URL for Yelp Data:**\n You **input the URL** for **weather-related Yelp posts** about **Los Angeles** (for example, `https://www.yelp.com/`). This URL is needed to scrape weather-related posts from Yelp.\n\n#### ✅ **How You Can Use It:**\n\n* **Easily input URLs** for weather posts in any city or about any topic.\n* **No coding needed**—just copy-paste the URL to start the process!" }, "typeVersion": 1 }, { "id": "a910ba45-e62f-4e70-9ed3-f9aaf6963845", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -60, -1140 ], "parameters": { "color": 3, "width": 420, "height": 1220, "content": "### 🤖 **SECTION 2: Scrape Data and Structure it**\n\n#### 🧩 **Node:**\n\n1. **🤖 AI Agent: Scrape Yelp Weather Posts**\n\n * *New Name:* `🤖 Agent: Scrape Yelp Weather Posts (Los Angeles)`\n\n##### 🧠 **Sub-Nodes Inside the Agent:**\n\n* **🧠 OpenAI Chat Model**\n\n * *New Name:* `💬 AI Model: Process Weather Data`\n\n* **🌐 MCP Client: Scrape Weather Posts**\n\n * *New Name:* `🌐 MCP Client: Scrape Weather Posts from Yelp`\n\n* **🧾 Structured Output Parser**\n\n * *New Name:* `📝 Parse Scraped Data into JSON`\n\n#### 💡 **What Happens:**\n\n* **AI Agent**:\n The **AI agent** uses the **Bright Data MCP Client** to **scrape weather-related posts** from Yelp about Los Angeles.\n\n* **Sentiment Analysis**: The AI processes the data to identify the sentiment of the weather-related posts (e.g., positive, negative, or neutral).\n\n* **Data Parsing**: After scraping the posts, the **output** is structured into a **JSON format** so it can be used for further analysis or task creation.\n\n#### ✅ **How You Can Use It:**\n\n* This section **automates data scraping** from Yelp.\n* It also provides **structured JSON data** that is easier to work with for further analysis.\n* **No technical skills required**, just input the URL and let the agent scrape and structure the data automatically." }, "typeVersion": 1 }, { "id": "6edd6577-fe4d-435d-8d9e-02baeb31704c", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 380, -860 ], "parameters": { "color": 5, "width": 300, "height": 940, "content": "### 📋 **SECTION 3: Create Trello Card for Campaign**\n\n#### 🧩 **Node:**\n\n1. **📥 Create Trello Card for Weather Campaign**\n\n * *New Name:* `📋 Create Trello Card: Weather Campaign`\n\n#### 💡 **What Happens:**\n\n* After the weather data is scraped and structured, the workflow creates a **Trello card** that contains all the information about the weather-related posts and the sentiment analysis. This Trello card is used for **campaign management** and can be assigned to team members for further action.\n\n#### ✅ **How You Can Use It:**\n\n* The Trello card acts as a **central place** to track and manage **weather-related campaigns**.\n* You can **automatically create Trello cards** with all the campaign details, making it easier for your team to take the next steps in promoting the right products or services based on sentiment." }, "typeVersion": 1 }, { "id": "42c87047-da6a-4bac-9a02-d7819ef3aa67", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ -2000, -1400 ], "parameters": { "color": 4, "width": 1300, "height": 2720, "content": "## 🚀 **Weather Campaign Automation Workflow**\n\nThis workflow helps you scrape **weather-related posts** from **Yelp** in **Los Angeles**, analyze the data, and automatically create a **Trello card** for campaign tracking.\n\n---\n\n### 🔹 **SECTION 1: Input URL & Trigger Workflow**\n\n#### 🧩 **Nodes:**\n\n1. **⚡ Trigger: Manual Execution**\n\n * *New Name:* `🔘 Trigger: Execute Workflow`\n\n2. **📝 Set Yelp URL for Weather Posts in Los Angeles**\n\n * *New Name:* `🌐 Set Yelp URL (Weather Posts - Los Angeles)`\n\n#### 💡 **What Happens:**\n\n1. **Trigger the Workflow:** You manually **start the workflow** by clicking the **\"Execute\"** button in n8n.\n\n2. **Input the URL for Yelp Data:**\n You **input the URL** for **weather-related Yelp posts** about **Los Angeles** (for example, `https://www.yelp.com/`). This URL is needed to scrape weather-related posts from Yelp.\n\n#### ✅ **How You Can Use It:**\n\n* **Easily input URLs** for weather posts in any city or about any topic.\n* **No coding needed**—just copy-paste the URL to start the process!\n\n---\n\n### 🤖 **SECTION 2: Scrape Data and Structure it**\n\n#### 🧩 **Node:**\n\n1. **🤖 AI Agent: Scrape Yelp Weather Posts**\n\n * *New Name:* `🤖 Agent: Scrape Yelp Weather Posts (Los Angeles)`\n\n##### 🧠 **Sub-Nodes Inside the Agent:**\n\n* **🧠 OpenAI Chat Model**\n\n * *New Name:* `💬 AI Model: Process Weather Data`\n\n* **🌐 MCP Client: Scrape Weather Posts**\n\n * *New Name:* `🌐 MCP Client: Scrape Weather Posts from Yelp`\n\n* **🧾 Structured Output Parser**\n\n * *New Name:* `📝 Parse Scraped Data into JSON`\n\n#### 💡 **What Happens:**\n\n* **AI Agent**:\n The **AI agent** uses the **Bright Data MCP Client** to **scrape weather-related posts** from Yelp about Los Angeles.\n\n* **Sentiment Analysis**: The AI processes the data to identify the sentiment of the weather-related posts (e.g., positive, negative, or neutral).\n\n* **Data Parsing**: After scraping the posts, the **output** is structured into a **JSON format** so it can be used for further analysis or task creation.\n\n#### ✅ **How You Can Use It:**\n\n* This section **automates data scraping** from Yelp.\n* It also provides **structured JSON data** that is easier to work with for further analysis.\n* **No technical skills required**, just input the URL and let the agent scrape and structure the data automatically.\n\n---\n\n### 📋 **SECTION 3: Create Trello Card for Campaign**\n\n#### 🧩 **Node:**\n\n1. **📥 Create Trello Card for Weather Campaign**\n\n * *New Name:* `📋 Create Trello Card: Weather Campaign`\n\n#### 💡 **What Happens:**\n\n* After the weather data is scraped and structured, the workflow creates a **Trello card** that contains all the information about the weather-related posts and the sentiment analysis. This Trello card is used for **campaign management** and can be assigned to team members for further action.\n\n#### ✅ **How You Can Use It:**\n\n* The Trello card acts as a **central place** to track and manage **weather-related campaigns**.\n* You can **automatically create Trello cards** with all the campaign details, making it easier for your team to take the next steps in promoting the right products or services based on sentiment.\n\n---\n\n### **Summary of the Workflow**\n\n| **Section** | **What Happens** |\n| ----------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------- |\n| **🔘 Section 1: Input URL & Trigger** | You **input the Yelp URL** for **weather posts in Los Angeles** and manually **trigger** the workflow. |\n| **🤖 Section 2: Scrape & Structure Data** | The **AI Agent** scrapes **weather posts** from Yelp, performs **sentiment analysis**, and **structures** the data into **JSON**. |\n| **📋 Section 3: Create Trello Card** | The scraped and structured data is used to **create a Trello card** for the **weather campaign**, allowing for team collaboration. |\n\n---\n\n### ✅ **How This Workflow Helps You:**\n\n| **Use Case** | **Benefit** |\n| ----------------------------------- | ------------------------------------------------------------------------------------------------------------- |\n| 🌤 **Weather-Related Campaigns** | **Automatically scrape weather posts** from Yelp for **Los Angeles**. |\n| 💬 **Sentiment Analysis** | Perform **sentiment analysis** on weather posts to tailor your **marketing campaigns**. |\n| 📝 **Trello for Campaign Tracking** | **Automatically create Trello cards** with campaign details for **easy tracking** and **team collaboration**. |\n\n---\n\nThis workflow **automates** your process for scraping **weather-related posts** from Yelp, analyzing **sentiment**, and **tracking campaigns** in **Trello**. It makes it **easier to tailor your marketing strategies** and keeps your team on track.\n" }, "typeVersion": 1 }, { "id": "340f317f-0113-4a3b-bb31-eb4ce34eef4a", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 720, -860 ], "parameters": { "color": 7, "width": 380, "height": 240, "content": "## I’ll receive a tiny commission if you join Bright Data through this link—thanks for fueling more free content!\n\n### https://get.brightdata.com/1tndi4600b25" }, "typeVersion": 1 }, { "id": "cbc65d92-9fe7-44ea-820c-14d8557c313b", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ -2000, -1740 ], "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": "6b29563e-2b13-4a93-8b68-2086d90892cd", "name": "Auto-fixing Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing", "position": [ 200, 160 ], "parameters": { "options": {} }, "typeVersion": 1 }, { "id": "36cfc69b-af9d-4d89-beef-fffba452e27e", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 160, 380 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "fc53117e-62fb-49a7-89af-2c0d7d3413af", "name": "📝 Parse Scraped Data into JSON Format1", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 340, 380 ], "parameters": { "jsonSchemaExample": "[\n {\n \"business_name\": \"About Time\",\n \"location\": \"Wilshire Center, Los Angeles, CA\",\n \"rating\": \"3.5\",\n \"reviews_count\": 478,\n \"post_text\": \"I love the garden, I want to sit inside in cold weather but there is no space. It is a very nice...\",\n \"weather_related\": \"Mention of cold weather and a garden suitable for sitting.\",\n \"sentiment\": \"Positive\",\n \"campaign_suggestion\": \"Promote outdoor activities and cozy garden seating for cooler weather.\",\n \"trello_card\": {\n \"title\": \"Campaign for About Time - Mention of cold weather and a garden suitable for sitting.\",\n \"description\": \"Location: Wilshire Center, Los Angeles, CA\\nRating: 3.5\\nReviews Count: 478\\nSentiment: Positive\\nCampaign: Promote outdoor activities and cozy garden seating for cooler weather.\",\n \"due_date\": \"2025-07-06\",\n \"labels\": [\"Positive\"]\n }\n },\n {\n \"business_name\": \"Grand Heating and Air Conditioning\",\n \"location\": \"Los Angeles, CA\",\n \"rating\": \"3.2\",\n \"reviews_count\": 34,\n \"post_text\": \"Well, come the summer of 2015 and the weather was hot enough for me to decide that the time had come...\",\n \"weather_related\": \"Hot weather leading to decision to use HVAC services.\",\n \"sentiment\": \"Neutral\",\n \"campaign_suggestion\": \"Promote HVAC services for summer heat and general weather comfort solutions.\",\n \"trello_card\": {\n \"title\": \"Campaign for Grand Heating and Air Conditioning - Hot weather leading to HVAC use.\",\n \"description\": \"Location: Los Angeles, CA\\nRating: 3.2\\nReviews Count: 34\\nSentiment: Neutral\\nCampaign: Promote HVAC services for summer heat and general weather comfort solutions.\",\n \"due_date\": \"2025-07-06\",\n \"labels\": [\"Neutral\"]\n }\n },\n {\n \"business_name\": \"Ravenswood Apartments\",\n \"location\": \"Hancock Park, Los Angeles, CA\",\n \"rating\": \"1.9\",\n \"reviews_count\": 14,\n \"post_text\": \"The weather was getting warmer so I managed to catch Gabriella mgr in the lobby one day, and asked...\",\n \"weather_related\": \"Mention of warming weather.\",\n \"sentiment\": \"Neutral\",\n \"campaign_suggestion\": \"Promote general services or upcoming community events for residents.\",\n \"trello_card\": {\n \"title\": \"Campaign for Ravenswood Apartments - Mention of warming weather.\",\n \"description\": \"Location: Hancock Park, Los Angeles, CA\\nRating: 1.9\\nReviews Count: 14\\nSentiment: Neutral\\nCampaign: Promote general services or upcoming community events for residents.\",\n \"due_date\": \"2025-07-06\",\n \"labels\": [\"Neutral\"]\n }\n },\n {\n \"business_name\": \"Harbor City\",\n \"location\": \"Harbor City, Los Angeles, CA\",\n \"rating\": \"5.0\",\n \"reviews_count\": 1,\n \"post_text\": \"South of Carson, North of San Pedro. One of those areas of LA that don't get as much attention as their surrounding neighbors for one reason or...\",\n \"weather_related\": \"No direct weather mention despite search context.\",\n \"sentiment\": \"Neutral\",\n \"campaign_suggestion\": \"Promote local neighborhood features and upcoming events.\",\n \"trello_card\": {\n \"title\": \"Campaign for Harbor City - Promote local neighborhood features.\",\n \"description\": \"Location: Harbor City, Los Angeles, CA\\nRating: 5.0\\nReviews Count: 1\\nSentiment: Neutral\\nCampaign: Promote local neighborhood features and upcoming events.\",\n \"due_date\": \"2025-07-06\",\n \"labels\": [\"Neutral\"]\n }\n }\n]\n" }, "typeVersion": 1.3 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "c57bb610-51bd-490f-9277-708ec418b40d", "connections": { "💬 AI Model": { "ai_languageModel": [ [ { "node": "🤖 AI Agent: Scrape Yelp Weather Posts and tailor campaigns", "type": "ai_languageModel", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_languageModel", "index": 0 } ] ] }, "Auto-fixing Output Parser": { "ai_outputParser": [ [ { "node": "🤖 AI Agent: Scrape Yelp Weather Posts and tailor campaigns", "type": "ai_outputParser", "index": 0 } ] ] }, "🔘 Trigger: Manual Execution": { "main": [ [ { "node": "🌐 Set Yelp URL (Weather Posts - Los Angeles)", "type": "main", "index": 0 } ] ] }, "📝 Parse Scraped Data into JSON Format1": { "ai_outputParser": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_outputParser", "index": 0 } ] ] }, "🌐 MCP Client: Scrape Weather Posts Data": { "ai_tool": [ [ { "node": "🤖 AI Agent: Scrape Yelp Weather Posts and tailor campaigns", "type": "ai_tool", "index": 0 } ] ] }, "🌐 Set Yelp URL (Weather Posts - Los Angeles)": { "main": [ [ { "node": "🤖 AI Agent: Scrape Yelp Weather Posts and tailor campaigns", "type": "main", "index": 0 } ] ] }, "🤖 AI Agent: Scrape Yelp Weather Posts and tailor campaigns": { "main": [ [ { "node": "📋 Create Trello Card for Weather Campaign", "type": "main", "index": 0 } ] ] } } }, "lastUpdatedBy": 62, "workflowInfo": { "nodeCount": 15, "nodeTypes": { "n8n-nodes-base.set": { "count": 1 }, "n8n-nodes-base.trello": { "count": 1 }, "n8n-nodes-base.stickyNote": { "count": 6 }, "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": 38, "icon": "fa:pen", "name": "n8n-nodes-base.set", "codex": { "data": { "alias": [ "Set", "JS", "JSON", "Filter", "Transform", "Map" ], "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": "☀️", "label": "2021: The Year to Automate the New You with n8n" }, { "url": "https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/", "icon": "📈", "label": "Automatically pulling and visualizing data with n8n" }, { "url": 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