{ "workflow": { "id": 5964, "name": "Track Google Trends search data locally with Bright Data MCP & AI analysis", "views": 1166, "recentViews": 0, "totalViews": 1166, "createdAt": "2025-07-13T19:02:00.286Z", "description": "*This workflow contains community nodes that are only compatible with the self-hosted version of n8n.*\n\nThis workflow automatically tracks local search trends and geographic-specific search patterns to optimize local SEO and marketing strategies. It saves you time by eliminating the need to manually research local search behavior and provides location-based insights for targeted marketing campaigns.\n\n## Overview\n\nThis workflow automatically scrapes local search results, geographic search trends, and location-based query data to understand regional search behavior and local market opportunities. It uses Bright Data to access location-specific search data and AI to intelligently analyze local trends and optimization opportunities.\n\n## Tools Used\n\n- **n8n**: The automation platform that orchestrates the workflow\n- **Bright Data**: For scraping location-based search data without being blocked\n- **OpenAI**: AI agent for intelligent local search trend analysis\n- **Google Sheets**: For storing local search trend data and geographic insights\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 local trends tracking spreadsheet\n5. **Customize**: Define target locations and local search monitoring parameters\n\n## Use Cases\n\n- **Local SEO**: Optimize for location-specific search queries and trends\n- **Regional Marketing**: Tailor campaigns to local search behavior and preferences\n- **Multi-location Businesses**: Track search trends across different geographic markets\n- **Market Expansion**: Identify new geographic opportunities based on search trends\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 #localsearch #localseo #searchtrends #brightdata #webscraping #geographictrends #n8nworkflow #workflow #nocode #localmarketing #regionalseo #locationbased #localbusiness #searchgeography #localtrends #geoseo #localdata #regionalmarketing #localanalytics #geographicseo #localsearchdata #localoptimization #regionalsearch #locationmarketing #localsearchtrends #geomarketing #localinsights #regionalsearch", "workflow": { "id": "CE8hCLPGBDqK8M07", "meta": { "instanceId": "60046904b104f0f72b2629a9d88fe9f676be4035769f1f08dad1dd38a76b9480", "templateCredsSetupCompleted": true }, "name": "21 Track Local Search Trends", "tags": [], "nodes": [ { "id": "9ea32a48-a56e-404a-aa0b-878a6e17f117", "name": "๐Ÿ”Œ Trigger: Manual Start", "type": "n8n-nodes-base.manualTrigger", "position": [ -40, 0 ], "parameters": {}, "typeVersion": 1 }, { "id": "d35de7e1-5b66-4e93-b812-dff0b195ccff", "name": "๐Ÿ“ Set google trends URL", "type": "n8n-nodes-base.set", "position": [ 180, 0 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "bbb89709-875d-4064-8d35-652dc4ec0f44", "name": "url", "type": "string", "value": "https://trends.google.com/trending?geo=US" } ] } }, "typeVersion": 3.4 }, { "id": "910da821-530a-4830-ae98-a49c42346f4f", "name": "๐Ÿค– Scrape Trends with MCP", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 440, 0 ], "parameters": { "text": "=Use Bright Data MCP to scrape the following Google Trends URL and return with keywords, score, and date.\n\nURL: {{ $json.url }}", "options": {}, "promptType": "define", "hasOutputParser": true }, "typeVersion": 2 }, { "id": "a1be70b4-e0c6-4ab8-b4a6-d8debbbb5310", "name": "๐Ÿงฉ Split Trends (One per Item)", "type": "n8n-nodes-base.code", "position": [ 880, 0 ], "parameters": { "jsCode": "// Get the Agent response\nconst input = items[0].json;\n\n// Access the trending keywords array\nconst keywords = input.output.trending_keywords;\n\n// Prepare each keyword as a single item\nreturn keywords.map(keyword => {\n return {\n json: {\n keyword: keyword.keyword,\n score: keyword.score,\n date: keyword.date\n }\n };\n});\n" }, "typeVersion": 2 }, { "id": "6e969c7b-276f-412f-976b-2298468eca70", "name": "๐Ÿ“„ Save to Google Sheets", "type": "n8n-nodes-base.googleSheets", "position": [ 1080, 0 ], "parameters": { "columns": { "value": { "Date": "={{ $json.date }}", "Score": "={{ $json.score }}", "Keyword": "={{ $json.keyword }}" }, "schema": [ { "id": "Keyword", "type": "string", "display": true, "required": false, "displayName": "Keyword", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Score", "type": "string", "display": true, "required": false, "displayName": "Score", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "Date", "type": "string", "display": true, "required": false, "displayName": "Date", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "list", "value": "gid=0", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1U3JIgUjCjjOUssjcwDcV5v5dFI_ssjzMHb9DzjtH4nU/edit#gid=0", "cachedResultName": "Sheet1" }, "documentId": { "__rl": true, "mode": "list", "value": "1U3JIgUjCjjOUssjcwDcV5v5dFI_ssjzMHb9DzjtH4nU", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1U3JIgUjCjjOUssjcwDcV5v5dFI_ssjzMHb9DzjtH4nU/edit?usp=drivesdk", "cachedResultName": "Google trends" } }, "credentials": { "googleSheetsOAuth2Api": { "id": "credential-id", "name": "googleSheetsOAuth2Api Credential" } }, "typeVersion": 4.6 }, { "id": "511ebc56-696d-4830-b119-c959e9539294", "name": "๐Ÿง  OpenAI Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 400, 280 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "8edd4a28-ee73-4431-80b2-b4d0d2680337", "name": "๐ŸŒ Bright Data MCP", "type": "n8n-nodes-mcp.mcpClientTool", "position": [ 560, 280 ], "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": "c00d74fc-2698-463e-8598-42a2a9a0ece9", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -80, -900 ], "parameters": { "color": 6, "width": 420, "height": 1080, "content": "### ## ๐ŸŸข **SECTION 1 โ€” ๐Ÿš€ Trigger & Input: โ€œSet the Missionโ€**\n\n**โœจ Nodes in this section:**\n1๏ธโƒฃ **๐Ÿ”Œ Trigger: Manual Start**\n2๏ธโƒฃ **๐Ÿ“ Set Region & Topic**\n\n---\n\n### ๐ŸŽฏ **What happens here?**\n\n* **Purpose:**\n This section is your *starting point*. It lets *you* (or anyone using this workflow) **decide when to run** it and **what you want to search for**.\n\n* **How it works:**\n\n * The **๐Ÿ”Œ Trigger** node is like a *button*. When you click *Execute Workflow*, the whole process starts.\n * The **๐Ÿ“ Input Fields** node lets you fill in details โ€” for example:\n\n * *Region:* โ€œLos Angelesโ€\n * *Topic:* โ€œRestaurantsโ€, โ€œConcertsโ€, โ€œEvents near meโ€\n * These inputs tell the Agent exactly **which local trends** to scrape.\n\n* **Benefit for beginners:**\n You donโ€™t need to open Google Trends manually or copy-paste URLs โ€” just **set your target location & topic once**, click a button, and youโ€™re good to go! ๐ŸŒโœจ\n\n---\n\n---\n\n" }, "typeVersion": 1 }, { "id": "1a71f611-b7ce-42e1-9f91-e0281dee05ae", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 400, -1040 ], "parameters": { "color": 3, "width": 340, "height": 1220, "content": "### ## ๐ŸŸก **SECTION 2 โ€” ๐Ÿค– Scrape Trends with Bright Data MCP**\n\n**โœจ Nodes in this section:**\n3๏ธโƒฃ **๐Ÿค– Scrape Trends with MCP**\n\n* Sub-nodes:\n\n * ๐Ÿง  **OpenAI Model** โ†’ Handles the Agentโ€™s logic & instructions\n * ๐ŸŒ **Bright Data MCP** โ†’ Runs the actual scraping\n * ๐Ÿ—‚๏ธ **Structured Output Parser** โ†’ Makes sure the data comes back clean JSON\n\n---\n\n### ๐ŸŽฏ **What happens here?**\n\n* **Purpose:**\n This section is the *smart engine* of your workflow. It sends your search request out to the internet, collects the latest **local trending keywords**, and puts them in a neat, structured format.\n\n* **How it works:**\n\n * The **๐Ÿค– Agent** takes your region & topic and talks to **Bright Data MCP** โ€” your web scraper.\n * Bright Data crawls **Google Trends** (or another site) and finds **hot keywords**, **interest scores**, and **when they started trending**.\n * The **Structured Output Parser** makes sure the raw text is turned into tidy, machine-readable **JSON** โ€” so you donโ€™t need to clean up messy data yourself.\n\n* **Benefit for beginners:**\n You donโ€™t have to write scraping code or build a custom parser. The Agent + Bright Data MCP do it all. Itโ€™s like having a digital research assistant that never sleeps. ๐Ÿง‘โ€๐Ÿ’ป๐Ÿ”\n\n---\n\n---\n\n" }, "typeVersion": 1 }, { "id": "420b543a-0ed0-43f0-91b3-616c3b7d9f48", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 840, -760 ], "parameters": { "color": 5, "width": 400, "height": 940, "content": "### ## ๐ŸŸฃ **SECTION 3 โ€” ๐Ÿงฉ Process & Save: โ€œPut it to Workโ€**\n\n**โœจ Nodes in this section:**\n4๏ธโƒฃ **๐Ÿงฉ Split Trends (One per Item)**\n5๏ธโƒฃ **๐Ÿ“„ Save to Google Sheets**\n\n---\n\n### ๐ŸŽฏ **What happens here?**\n\n* **Purpose:**\n This section *unpacks* the scraped data and *uses* it โ€” by saving it to your Google Sheet, ready for SEO or marketing.\n\n* **How it works:**\n\n * The **๐Ÿงฉ Code** node (your `Function`) takes the full list of keywords and **breaks them into single items** โ€” one keyword per row.\n * The **๐Ÿ“„ Google Sheets** node then **appends** each keyword as a new row:\n\n * Keyword\n * Search volume\n * When it started trending\n\n" }, "typeVersion": 1 }, { "id": "4ee00b42-8838-4ba3-8c5e-96d0b068c501", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 1320, -760 ], "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": "1397f12a-47ee-4b41-be66-2b9818abcc20", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ -1780, -900 ], "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": "6d7d3cc4-67dc-45a9-9670-571190d0cefd", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -1780, -560 ], "parameters": { "color": 4, "width": 1289, "height": 2958, "content": "## ๐ŸŽฏ **๐Ÿ“ Title:**\n\n**โ€œLocal Trends Scraper & SEO Booster โ€” Automated Google Trends to Sheets Workflowโ€**\n\n---\n\n\n### ## ๐ŸŸข **SECTION 1 โ€” ๐Ÿš€ Trigger & Input: โ€œSet the Missionโ€**\n\n**โœจ Nodes in this section:**\n1๏ธโƒฃ **๐Ÿ”Œ Trigger: Manual Start**\n2๏ธโƒฃ **๐Ÿ“ Set Region & Topic**\n\n---\n\n### ๐ŸŽฏ **What happens here?**\n\n* **Purpose:**\n This section is your *starting point*. It lets *you* (or anyone using this workflow) **decide when to run** it and **what you want to search for**.\n\n* **How it works:**\n\n * The **๐Ÿ”Œ Trigger** node is like a *button*. When you click *Execute Workflow*, the whole process starts.\n * The **๐Ÿ“ Input Fields** node lets you fill in details โ€” for example:\n\n * *Region:* โ€œLos Angelesโ€\n * *Topic:* โ€œRestaurantsโ€, โ€œConcertsโ€, โ€œEvents near meโ€\n * These inputs tell the Agent exactly **which local trends** to scrape.\n\n* **Benefit for beginners:**\n You donโ€™t need to open Google Trends manually or copy-paste URLs โ€” just **set your target location & topic once**, click a button, and youโ€™re good to go! ๐ŸŒโœจ\n\n---\n\n---\n\n### ## ๐ŸŸก **SECTION 2 โ€” ๐Ÿค– Scrape Trends with Bright Data MCP**\n\n**โœจ Nodes in this section:**\n3๏ธโƒฃ **๐Ÿค– Scrape Trends with MCP**\n\n* Sub-nodes:\n\n * ๐Ÿง  **OpenAI Model** โ†’ Handles the Agentโ€™s logic & instructions\n * ๐ŸŒ **Bright Data MCP** โ†’ Runs the actual scraping\n * ๐Ÿ—‚๏ธ **Structured Output Parser** โ†’ Makes sure the data comes back clean JSON\n\n---\n\n### ๐ŸŽฏ **What happens here?**\n\n* **Purpose:**\n This section is the *smart engine* of your workflow. It sends your search request out to the internet, collects the latest **local trending keywords**, and puts them in a neat, structured format.\n\n* **How it works:**\n\n * The **๐Ÿค– Agent** takes your region & topic and talks to **Bright Data MCP** โ€” your web scraper.\n * Bright Data crawls **Google Trends** (or another site) and finds **hot keywords**, **interest scores**, and **when they started trending**.\n * The **Structured Output Parser** makes sure the raw text is turned into tidy, machine-readable **JSON** โ€” so you donโ€™t need to clean up messy data yourself.\n\n* **Benefit for beginners:**\n You donโ€™t have to write scraping code or build a custom parser. The Agent + Bright Data MCP do it all. Itโ€™s like having a digital research assistant that never sleeps. ๐Ÿง‘โ€๐Ÿ’ป๐Ÿ”\n\n---\n\n---\n\n### ## ๐ŸŸฃ **SECTION 3 โ€” ๐Ÿงฉ Process & Save: โ€œPut it to Workโ€**\n\n**โœจ Nodes in this section:**\n4๏ธโƒฃ **๐Ÿงฉ Split Trends (One per Item)**\n5๏ธโƒฃ **๐Ÿ“„ Save to Google Sheets**\n\n---\n\n### ๐ŸŽฏ **What happens here?**\n\n* **Purpose:**\n This section *unpacks* the scraped data and *uses* it โ€” by saving it to your Google Sheet, ready for SEO or marketing.\n\n* **How it works:**\n\n * The **๐Ÿงฉ Code** node (your `Function`) takes the full list of keywords and **breaks them into single items** โ€” one keyword per row.\n * The **๐Ÿ“„ Google Sheets** node then **appends** each keyword as a new row:\n\n * Keyword\n * Search volume\n * When it started trending\n\n* **Benefit for beginners:**\n You instantly have a **ready-made spreadsheet** you can share with your content team, SEO team, or use to update your local landing pages.\n No manual copy-paste. No formatting headaches. ๐Ÿ“Šโœ…\n\n---\n\n---\n\n## ๐ŸŒŸ **โœจ How does this help you win?**\n\nโœ… **Fully automated:** You can run it every day or week โ€” always get fresh local keywords.\nโœ… **SEO superpower:** See exactly *whatโ€™s trending* in your region โ†’ update landing pages โ†’ get more local traffic.\nโœ… **No code needed:** All you did was *click*, *input*, *watch it run*.\nโœ… **Team-ready:** The final Google Sheet is shareable, editable, and easy to integrate with your marketing process.\n\n---\n\n## ๐ŸŽ‰ **๐Ÿ’Ž Visual Summary**\n\n```\n๐Ÿ“Œ SECTION 1: ๐ŸŸข Trigger & Input \n ๐Ÿ”Œ Manual Start โ†’ ๐Ÿ“ Set Region & Topic\n\n๐Ÿ“Œ SECTION 2: ๐ŸŸก Scrape & Structure \n ๐Ÿค– Agent โ†’ ๐Ÿง  OpenAI โ†’ ๐ŸŒ Bright Data โ†’ ๐Ÿ—‚๏ธ JSON Parser\n\n๐Ÿ“Œ SECTION 3: ๐ŸŸฃ Process & Save \n ๐Ÿงฉ Split Keywords โ†’ ๐Ÿ“„ Save to Google Sheets\n```\n\n---\n\n## โœ… **Use Case Example**\n\n> **Example:**\n> Local bakery in Los Angeles wants to know trending searches for โ€œbest cake shopsโ€ or โ€œIndependence Day treatsโ€ โ†’ this workflow finds hot search trends โ†’ your SEO person adds those phrases to landing pages โ†’ you rank higher locally โ†’ more customers! ๐ŸŽ‚๐ŸŽ†\n\n---\n\n" }, "typeVersion": 1 }, { "id": "e1108517-eac3-4ac9-a2a7-cac91566ce03", "name": "Auto-fixing Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing", "position": [ 720, 280 ], "parameters": { "options": {} }, "typeVersion": 1 }, { "id": "6080dcb4-3ef7-41b3-bb05-b85e1e2d7737", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 700, 500 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "4858d36d-3eca-46da-bb9a-a6f224e80f4d", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 860, 500 ], "parameters": { "jsonSchemaExample": "{\n \"trending_keywords\": [\n {\n \"keyword\": \"Julian McMahon\",\n \"score\": \"1M+ searches\",\n \"date\": \"5 hours ago\"\n },\n {\n \"keyword\": \"Camp Mystic\",\n \"score\": \"1M+ searches\",\n \"date\": \"13 hours ago\"\n },\n {\n \"keyword\": \"Palmeiras vs Chelsea\",\n \"score\": \"200K+ searches\",\n \"date\": \"8 hours ago\"\n },\n {\n \"keyword\": \"Cuatro de Julio\",\n \"score\": \"100K+ searches\",\n \"date\": \"23 hours ago\"\n },\n {\n \"keyword\": \"Independence Day Celebrations Near Me\",\n \"score\": \"100K+ searches\",\n \"date\": \"23 hours ago\"\n },\n {\n \"keyword\": \"What Time Do Fireworks Start\",\n \"score\": \"200K+ searches\",\n \"date\": \"7 hours ago\"\n },\n {\n \"keyword\": \"Astros vs Dodgers\",\n \"score\": \"50K+ searches\",\n \"date\": \"3 hours ago\"\n },\n {\n \"keyword\": \"Young Noble\",\n \"score\": \"20K+ searches\",\n \"date\": \"7 hours ago\"\n },\n {\n \"keyword\": \"Fluminense vs Al-Hilal\",\n \"score\": \"200K+ searches\",\n \"date\": \"10 hours ago\"\n },\n {\n \"keyword\": \"Brewsers vs Marlins\",\n \"score\": \"10K+ searches\",\n \"date\": \"5 hours ago\"\n }\n ]\n}\n" }, "typeVersion": 1.2 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "a4dd65b0-e789-488c-882f-2094f0a5f1a7", "connections": { "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_languageModel", "index": 0 } ] ] }, "๐Ÿง  OpenAI Model": { "ai_languageModel": [ [ { "node": "๐Ÿค– Scrape Trends with MCP", "type": "ai_languageModel", "index": 0 } ] ] }, "๐ŸŒ Bright Data MCP": { "ai_tool": [ [ { "node": "๐Ÿค– Scrape Trends with MCP", "type": "ai_tool", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "Auto-fixing Output Parser", "type": "ai_outputParser", "index": 0 } ] ] }, "Auto-fixing Output Parser": { "ai_outputParser": [ [ { "node": "๐Ÿค– Scrape Trends with MCP", "type": 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