Yaron Been This workflow corresponds to n8n.io template #5978 — we link there as the canonical source.
This workflow follows the Agent → Gmail recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "tZhYQXv2WOoX0PvT",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "35 Monitor Competitor Financials",
"tags": [],
"nodes": [
{
"id": "df69b41c-28b1-457b-93e2-1c6523028d01",
"name": "\ud83d\udea6 Start Workflow (Manual Trigger)",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-60,
20
],
"parameters": {},
"typeVersion": 1
},
{
"id": "9ebe6532-1865-4c87-a443-ed23157dc7fa",
"name": "\ud83d\udd17 Enter Yahoo Finance URL for Tesla",
"type": "n8n-nodes-base.set",
"position": [
140,
20
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "50cdc310-34d9-4743-a943-f3ad55ab63b8",
"name": "teslaURL",
"type": "string",
"value": "https://finance.yahoo.com/quote/TSLA/financials"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "d96bdd1f-8866-4712-b593-92ba5d1a8d97",
"name": "\ud83e\udd16 AI Agent: Scrape Tesla Financial Data",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
420,
20
],
"parameters": {
"text": "=Please scrape the latest financial data for Tesla, Inc. (TSLA) from Yahoo Finance for the latest quarter available. \n\nSearch URL : {{ $json.teslaURL }}\n\nInclude the following information:\n- Revenue for the latest quarter.\n- Total Income\n- Total Expenses\n- Earnings per Share (EPS) for the latest quarter.\n- net margin for the latest quarter.\n- Profit (Net Income) for the latest quarter.\n\nplease dont give me tha summary of these above financial data.\nPlease provide a detailed breakdown of only these above financial metrics nothing else.\n",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2
},
{
"id": "8e8438ab-e793-4637-af83-6351f6c41068",
"name": "\ud83e\udde0 OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
380,
320
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "be009492-2ff8-4d69-847f-64d7deb338e0",
"name": "\ud83c\udf10 MCP Client Tool ",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
540,
320
],
"parameters": {
"toolName": "web_data_yahoo_finance_business",
"operation": "executeTool",
"toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}"
},
"credentials": {
"mcpClientApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "2d5d31c7-6f07-47c0-a365-93c64a868fe7",
"name": "\ud83d\udcca Get Company Data from Google Sheets",
"type": "n8n-nodes-base.googleSheets",
"position": [
900,
20
],
"parameters": {
"options": {},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1WvSWlWjowhz0amszpgv7CUBXjJHYZE9vuiVafgqG6tU/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1WvSWlWjowhz0amszpgv7CUBXjJHYZE9vuiVafgqG6tU",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1WvSWlWjowhz0amszpgv7CUBXjJHYZE9vuiVafgqG6tU/edit?usp=drivesdk",
"cachedResultName": "My financial Data"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 4.6
},
{
"id": "284d8508-67c0-4daa-9cbe-9c41679d542b",
"name": "\u2696\ufe0f Compare Data",
"type": "n8n-nodes-base.code",
"position": [
1100,
20
],
"parameters": {
"jsCode": "// Get the AI agent data (latest data)\nconst aiAgentData = $('\ud83e\udd16 AI Agent: Scrape Tesla Financial Data').first().json.output.financial_data;\n\n// Get the Google Sheet data (old data)\nconst googleSheetData = items[0].json; // Assuming Google Sheet data is in the first item\n\n// Prepare the comparison result\nconst comparisonResult = {\n \"comparison\": [\n {\n \"metric\": \"Total Revenue\",\n \"your_company_data\": `$${googleSheetData['Total Revenue']}`,\n \"tesla_data\": aiAgentData.revenue.total_revenue,\n \"result\": aiAgentData.revenue.total_revenue > `$${googleSheetData['Total Revenue']}` ? \"Outperforming\" : \"Underperforming\"\n },\n {\n \"metric\": \"Quarter Estimate\",\n \"your_company_data\": `$${googleSheetData['Quarter Estimate']}`,\n \"tesla_data\": aiAgentData.revenue.quarter_value_estimate,\n \"result\": aiAgentData.revenue.quarter_value_estimate > `$${googleSheetData['Quarter Estimate']}` ? \"Outperforming\" : \"Underperforming\"\n },\n {\n \"metric\": \"Pretax Income\",\n \"your_company_data\": `$${googleSheetData['Pretax Income']}`,\n \"tesla_data\": aiAgentData.total_income.pretax_income,\n \"result\": aiAgentData.total_income.pretax_income > `$${googleSheetData['Pretax Income']}` ? \"Outperforming\" : \"Underperforming\"\n },\n {\n \"metric\": \"Basic EPS\",\n \"your_company_data\": googleSheetData['Basic EPS'],\n \"tesla_data\": aiAgentData.earnings_per_share.basic_eps,\n \"result\": aiAgentData.earnings_per_share.basic_eps > googleSheetData['Basic EPS'] ? \"Outperforming\" : \"Underperforming\"\n },\n {\n \"metric\": \"Diluted EPS\",\n \"your_company_data\": googleSheetData['Diluted EPS'],\n \"tesla_data\": aiAgentData.earnings_per_share.diluted_eps,\n \"result\": aiAgentData.earnings_per_share.diluted_eps > googleSheetData['Diluted EPS'] ? \"Outperforming\" : \"Underperforming\"\n },\n {\n \"metric\": \"Net Income\",\n \"your_company_data\": `$${googleSheetData['Net Income']}`,\n \"tesla_data\": aiAgentData.profit.net_income,\n \"result\": aiAgentData.profit.net_income > `$${googleSheetData['Net Income']}` ? \"Outperforming\" : \"Underperforming\"\n },\n {\n \"metric\": \"Net Margin\",\n \"your_company_data\": `${googleSheetData['Net Margin'] * 100}%`,\n \"tesla_data\": aiAgentData.margins.net_margin,\n \"result\": parseFloat(aiAgentData.margins.net_margin) > googleSheetData['Net Margin'] ? \"Outperforming\" : \"Underperforming\"\n },\n {\n \"metric\": \"Total Expenses\",\n \"your_company_data\": `$${googleSheetData['Total Expenses']}`,\n \"tesla_data\": aiAgentData.total_expenses.total_expenses,\n \"result\": parseFloat(aiAgentData.total_expenses.total_expenses.replace(/[^\\d.-]/g, '')) < parseFloat(googleSheetData['Total Expenses']) ? \"Outperforming\" : \"Underperforming\"\n }\n ]\n};\n\n// Return the comparison result\nreturn [\n {\n json: comparisonResult\n }\n];\n"
},
"typeVersion": 2
},
{
"id": "de22bb17-7a3d-4c33-8100-55175000900c",
"name": "\ud83d\udce7 Send Financial Comparison to Team ",
"type": "n8n-nodes-base.gmail",
"position": [
1440,
20
],
"parameters": {
"sendTo": "user@example.com",
"message": "=Hello team!\n\nThe comparison between us and tesla is given below:\n\nTotal Revenue: {{ $json.comparison[0].result }}\n\nQuarter Estimate: {{ $json.comparison[1].result }}\n\nPretax Income: {{ $json.comparison[2].result }}\n\nBasic EPS: {{ $json.comparison[3].result }}\n\nDiluted EPS: {{ $json.comparison[4].result }}\n\nNet Income: {{ $json.comparison[5].result }}\n\nNet Margin: {{ $json.comparison[6].result }}\n\nTotal Expenses: {{ $json.comparison[7].result }}",
"options": {},
"subject": "Financial Comparison: Your Company vs Tesla, Inc. (TSLA)",
"emailType": "text"
},
"credentials": {
"gmailOAuth2": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "c12f86e7-b0bb-4f74-8678-e8c3774b7eed",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-140,
-500
],
"parameters": {
"color": 2,
"width": 460,
"height": 740,
"content": "### \ud83d\udd39 **SECTION 1: Start & Input Financial Data URL**\n\n#### \ud83e\udde9 Nodes:\n\n* `\ud83d\udd18 Trigger: Manual Start`\n* `\ud83d\udd17 Set Yahoo Finance URL for Tesla`\n\n#### \ud83d\udca1 What Happens:\n\n1. **Trigger the Workflow:** You **manually start** the workflow by clicking the **execute button**.\n2. **Input the URL:** You **enter the Yahoo Finance URL** for **Tesla** (e.g., `https://finance.yahoo.com/quote/TSLA/`) into the system to get the **latest financial data**.\n\n#### \u2705 Beginner Tip:\n\nYou don\u2019t need coding experience here. Just copy and paste the **Tesla** stock\u2019s Yahoo Finance URL into the form field, and the rest will be done automatically!\n"
},
"typeVersion": 1
},
{
"id": "d6feb3e2-f701-4bc3-bb1f-4c170cbbd50f",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
360,
-760
],
"parameters": {
"color": 3,
"width": 400,
"height": 1000,
"content": "### \ud83e\udd16 **SECTION 2: AI Agent Fetching Financial Data**\n\n#### \ud83e\udde9 Nodes:\n\n* `\ud83e\udd16 Agent: Scrape Yahoo Finance Data`\n\n * **Sub-Nodes Inside the Agent**:\n\n * `\ud83e\udde0 Chat Model`: Requests financial data.\n * `\ud83c\udf10 Bright Data MCP Client`: Scrapes the financial data from Yahoo Finance using the **\u201cweb\\_data\\_yahoo\\_finance\\_business\u201d tool**.\n * `\ud83e\uddfe Parse Output`: Converts the raw data into **structured JSON** format.\n\n#### \ud83d\udca1 What Happens:\n\n* The **AI Agent** asks the **Bright Data MCP Client** to scrape **Tesla\u2019s latest financial data** from the Yahoo Finance page.\n* The **MCP Client** uses a tool named **\u201cweb\\_data\\_yahoo\\_finance\\_business\u201d** for this scraping process, ensuring that all information is pulled accurately, even if the site has protection mechanisms.\n* The data is then **structured** into a readable **JSON format** for further processing.\n\n#### \u2705 Beginner Tip:\n\nYou don\u2019t need to manually scrape the data. The AI does it for you, and the tool ensures everything is clean and readable.\n\n"
},
"typeVersion": 1
},
{
"id": "37e68e3f-5516-4a01-a619-b51e2c48b408",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
820,
-640
],
"parameters": {
"color": 6,
"width": 440,
"height": 880,
"content": "### \ud83d\udcca **SECTION 3: Compare Tesla vs Your Company\u2019s Financial Data**\n\n#### \ud83e\udde9 Nodes:\n\n* `\ud83d\udce5 Read Google Sheets (Tesla\u2019s Data)`\n* `\ud83d\udd04 Compare Data with Your Company\u2019s Data`\n\n * **Output Result:** \u201cOutperforming\u201d or \u201cUnderperforming\u201d\n\n#### \ud83d\udca1 What Happens:\n\n1. The workflow fetches your **company's financial data** from **Google Sheets**.\n2. It compares **Tesla\u2019s financial data** with yours and then generates a comparison result like **\u201cOutperforming\u201d** or **\u201cUnderperforming\u201d**.\n\n This allows you to see whether Tesla is doing better or worse than your company in terms of performance metrics.\n\n#### \u2705 Beginner Tip:\n\nThe **comparison** is fully automated. If you input your company's data into **Google Sheets**, the workflow will automatically **compare it** to Tesla\u2019s data, saving you hours of manual work."
},
"typeVersion": 1
},
{
"id": "e33324fb-707d-4d28-88b1-a0496908e43b",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1300,
-560
],
"parameters": {
"color": 5,
"width": 360,
"height": 800,
"content": "### \ud83d\udce7 **SECTION 4: Send Comparison Email to Team**\n\n#### \ud83e\udde9 Node:\n\n* `\ud83d\udce7 Send Email via Gmail`\n\n#### \ud83d\udca1 What Happens:\n\nOnce the data comparison is complete, the workflow **automatically generates an email** and sends it to your team. This email contains:\n\n* The comparison results of **Tesla\u2019s financial data vs. your company\u2019s data**.\n* A simple analysis of **how your company is performing relative to Tesla**.\n\n#### \u2705 Beginner Tip:\n\nYou don\u2019t need to draft an email. The workflow will send an **automated email** with the comparison results and save you from the hassle of manually updating your team.\n\n"
},
"typeVersion": 1
},
{
"id": "94281256-f5d4-4e9c-aa50-0437f2dedd20",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1700,
-640
],
"parameters": {
"color": 4,
"width": 1300,
"height": 2660,
"content": "### \ud83d\ude80 **Tesla Financial Performance Scraper Workflow**\n\nThis workflow automates the process of **scraping financial data from Yahoo Finance for Tesla**, comparing it with your company's performance, and then sending the results to your team. Let\u2019s break down the sections for **easy understanding**!\n\n---\n\n### \ud83d\udd39 **SECTION 1: Start & Input Financial Data URL**\n\n#### \ud83e\udde9 Nodes:\n\n* `\ud83d\udd18 Trigger: Manual Start`\n* `\ud83d\udd17 Set Yahoo Finance URL for Tesla`\n\n#### \ud83d\udca1 What Happens:\n\n1. **Trigger the Workflow:** You **manually start** the workflow by clicking the **execute button**.\n2. **Input the URL:** You **enter the Yahoo Finance URL** for **Tesla** (e.g., `https://finance.yahoo.com/quote/TSLA/`) into the system to get the **latest financial data**.\n\n#### \u2705 Beginner Tip:\n\nYou don\u2019t need coding experience here. Just copy and paste the **Tesla** stock\u2019s Yahoo Finance URL into the form field, and the rest will be done automatically!\n\n---\n\n### \ud83e\udd16 **SECTION 2: AI Agent Fetching Financial Data**\n\n#### \ud83e\udde9 Nodes:\n\n* `\ud83e\udd16 Agent: Scrape Yahoo Finance Data`\n\n * **Sub-Nodes Inside the Agent**:\n\n * `\ud83e\udde0 Chat Model`: Requests financial data.\n * `\ud83c\udf10 Bright Data MCP Client`: Scrapes the financial data from Yahoo Finance using the **\u201cweb\\_data\\_yahoo\\_finance\\_business\u201d tool**.\n * `\ud83e\uddfe Parse Output`: Converts the raw data into **structured JSON** format.\n\n#### \ud83d\udca1 What Happens:\n\n* The **AI Agent** asks the **Bright Data MCP Client** to scrape **Tesla\u2019s latest financial data** from the Yahoo Finance page.\n* The **MCP Client** uses a tool named **\u201cweb\\_data\\_yahoo\\_finance\\_business\u201d** for this scraping process, ensuring that all information is pulled accurately, even if the site has protection mechanisms.\n* The data is then **structured** into a readable **JSON format** for further processing.\n\n#### \u2705 Beginner Tip:\n\nYou don\u2019t need to manually scrape the data. The AI does it for you, and the tool ensures everything is clean and readable.\n\n---\n\n### \ud83d\udcca **SECTION 3: Compare Tesla vs Your Company\u2019s Financial Data**\n\n#### \ud83e\udde9 Nodes:\n\n* `\ud83d\udce5 Read Google Sheets (Tesla\u2019s Data)`\n* `\ud83d\udd04 Compare Data with Your Company\u2019s Data`\n\n * **Output Result:** \u201cOutperforming\u201d or \u201cUnderperforming\u201d\n\n#### \ud83d\udca1 What Happens:\n\n1. The workflow fetches your **company's financial data** from **Google Sheets**.\n2. It compares **Tesla\u2019s financial data** with yours and then generates a comparison result like **\u201cOutperforming\u201d** or **\u201cUnderperforming\u201d**.\n\n This allows you to see whether Tesla is doing better or worse than your company in terms of performance metrics.\n\n#### \u2705 Beginner Tip:\n\nThe **comparison** is fully automated. If you input your company's data into **Google Sheets**, the workflow will automatically **compare it** to Tesla\u2019s data, saving you hours of manual work.\n\n---\n\n### \ud83d\udce7 **SECTION 4: Send Comparison Email to Team**\n\n#### \ud83e\udde9 Node:\n\n* `\ud83d\udce7 Send Email via Gmail`\n\n#### \ud83d\udca1 What Happens:\n\nOnce the data comparison is complete, the workflow **automatically generates an email** and sends it to your team. This email contains:\n\n* The comparison results of **Tesla\u2019s financial data vs. your company\u2019s data**.\n* A simple analysis of **how your company is performing relative to Tesla**.\n\n#### \u2705 Beginner Tip:\n\nYou don\u2019t need to draft an email. The workflow will send an **automated email** with the comparison results and save you from the hassle of manually updating your team.\n\n---\n\n## \u2705 **Summary: How You Can Use This Workflow**\n\n| Use Case | How It Helps You |\n| --------------------------------------- | ------------------------------------------------------------------------------------- |\n| \ud83d\udcca **Financial Performance Comparison** | Instantly compare Tesla\u2019s data to your company\u2019s financials. |\n| \ud83d\udd0d **Competitive Analysis** | Analyze how Tesla is performing in comparison to your business in key metrics. |\n| \ud83d\udcc8 **Report Automation** | Get **automated reports** on your company's performance relative to industry leaders. |\n| \ud83d\udca1 **Decision Making** | Take informed decisions based on **real-time financial data comparisons**. |\n\n\n"
},
"typeVersion": 1
},
{
"id": "6a498444-a484-4b15-9160-ab2b738560fb",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1720,
-560
],
"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": "f419f2ec-2704-43e3-9f50-2c6d78ec5bbe",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1700,
-980
],
"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": "32991f65-99c8-45e8-9187-f902217e673b",
"name": "Auto-fixing Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
"position": [
660,
320
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "bc506c4a-617d-4918-9ebd-e303529747f5",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
620,
540
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "ba558831-0955-425a-9f93-bdf5953a3af5",
"name": "\ud83d\udce6 Format Financial data as Json Output",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
800,
540
],
"parameters": {
"jsonSchemaExample": "{\n \"financial_data\": {\n \"company\": \"Tesla, Inc.\",\n \"quarter_end_date\": \"2024-09-30\",\n \"revenue\": {\n \"total_revenue\": \"$97.69 billion (annualized)\",\n \"quarter_value_estimate\": \"$24.42 billion (approx.)\"\n },\n \"total_income\": {\n \"pretax_income\": \"$8.99 billion\"\n },\n \"total_expenses\": {\n \"total_expenses\": \"$89.93 billion (annualized)\"\n },\n \"earnings_per_share\": {\n \"basic_eps\": \"$0.68\",\n \"diluted_eps\": \"$0.62\"\n },\n \"profit\": {\n \"net_income\": \"$7.13 billion\"\n },\n \"margins\": {\n \"net_margin\": \"6.38% (annualized)\"\n }\n }\n}\n"
},
"typeVersion": 1.3
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "ab84de38-8755-4322-abd6-63f0516400d8",
"connections": {
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Auto-fixing Output Parser",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"\u2696\ufe0f Compare Data": {
"main": [
[
{
"node": "\ud83d\udce7 Send Financial Comparison to Team ",
"type": "main",
"index": 0
}
]
]
},
"\ud83c\udf10 MCP Client Tool ": {
"ai_tool": [
[
{
"node": "\ud83e\udd16 AI Agent: Scrape Tesla Financial Data",
"type": "ai_tool",
"index": 0
}
]
]
},
"\ud83e\udde0 OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "\ud83e\udd16 AI Agent: Scrape Tesla Financial Data",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Auto-fixing Output Parser": {
"ai_outputParser": [
[
{
"node": "\ud83e\udd16 AI Agent: Scrape Tesla Financial Data",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"\ud83d\udea6 Start Workflow (Manual Trigger)": {
"main": [
[
{
"node": "\ud83d\udd17 Enter Yahoo Finance URL for Tesla",
"type": "main",
"index": 0
}
]
]
},
"\ud83d\udd17 Enter Yahoo Finance URL for Tesla": {
"main": [
[
{
"node": "\ud83e\udd16 AI Agent: Scrape Tesla Financial Data",
"type": "main",
"index": 0
}
]
]
},
"\ud83d\udcca Get Company Data from Google Sheets": {
"main": [
[
{
"node": "\u2696\ufe0f Compare Data",
"type": "main",
"index": 0
}
]
]
},
"\ud83d\udce6 Format Financial data as Json Output": {
"ai_outputParser": [
[
{
"node": "Auto-fixing Output Parser",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"\ud83e\udd16 AI Agent: Scrape Tesla Financial Data": {
"main": [
[
{
"node": "\ud83d\udcca Get Company Data from Google Sheets",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
gmailOAuth2googleSheetsOAuth2ApimcpClientApiopenAiApi
Pro
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About this workflow
This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
Source: https://n8n.io/workflows/5978/ — original creator credit. Request a take-down →
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OpenAI Chat, N8N Nodes Mcp, Agent +4
This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
Agent, OpenAI Chat, N8N Nodes Mcp +4
This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
OpenAI Chat, Agent, N8N Nodes Mcp +4
This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
Agent, Google Sheets, OpenAI Chat +3