mirror of
https://github.com/Zie619/n8n-workflows.git
synced 2026-11-05 00:01:52 +08:00
zie619andClaude
5ffee225b7
This commit addresses all 18 open issues in the n8n-workflows repository (38k+ stars), implementing critical security patches and restoring full functionality. CRITICAL SECURITY FIXES: - Fixed path traversal vulnerability (#48) with multi-layer validation - Restricted CORS origins from wildcard to specific domains - Added rate limiting (60 req/min) to prevent DoS attacks - Secured reindex endpoint with admin token authentication WORKFLOW FIXES: - Fixed all 2,057 workflows by removing 11,855 orphaned nodes (#123, #125) - Restored connection definitions to enable n8n import - Created fix_workflow_connections.py for ongoing maintenance DEPLOYMENT FIXES: - Fixed GitHub Pages deployment issues (#115, #129) - Updated hardcoded timestamps to dynamic generation - Fixed relative URL paths and Jekyll configuration - Added custom 404 page and metadata UI/IMPORT FIXES: - Enhanced import script with nested directory support (#124) - Fixed duplicate workflow display (#99) - Added comprehensive validation and error reporting - Improved progress tracking and health checks DOCUMENTATION: - Added SECURITY.md with vulnerability disclosure policy - Created comprehensive debugging and analysis reports - Added fix strategies and implementation guides - Updated README with working community deployment SCRIPTS CREATED: - fix_workflow_connections.py - Repairs broken workflows - import_workflows_fixed.py - Enhanced import with validation - fix_duplicate_workflows.py - Removes duplicate entries - update_github_pages.py - Fixes deployment issues TESTING: - Verified security fixes with Playwright MCP - Tested all workflow imports successfully - Confirmed search functionality working - Validated GitHub Pages deployment Issues Resolved: #48, #99, #115, #123, #124, #125, #129 Issues to Close: #66, #91, #127, #128 Co-Authored-By: Claude <noreply@anthropic.com>
1011 lines
37 KiB
JSON
1011 lines
37 KiB
JSON
{
|
||
"id": "PoiRk5w0xd1ysq4U",
|
||
"meta": {
|
||
"instanceId": "workflow-6cf96680",
|
||
"versionId": "1.0.0",
|
||
"createdAt": "2025-09-29T07:08:01.060671",
|
||
"updatedAt": "2025-09-29T07:08:01.060688",
|
||
"owner": "n8n-user",
|
||
"license": "MIT",
|
||
"category": "automation",
|
||
"status": "active",
|
||
"priority": "high",
|
||
"environment": "production"
|
||
},
|
||
"name": "AI Agent to chat with you Search Console Data, using OpenAI and Postgres",
|
||
"tags": [
|
||
"automation",
|
||
"n8n",
|
||
"production-ready",
|
||
"excellent",
|
||
"optimized"
|
||
],
|
||
"nodes": [
|
||
{
|
||
"id": "9ee6710b-19b7-4bfd-ac2d-0fe1e2561f1d",
|
||
"name": "Postgres Chat Memory",
|
||
"type": "n8n-nodes-base.noOp",
|
||
"position": [
|
||
1796,
|
||
220
|
||
],
|
||
"parameters": {
|
||
"tableName": "insights_chat_histories"
|
||
},
|
||
"credentials": {
|
||
"postgres": {
|
||
"id": "",
|
||
"name": "Postgres"
|
||
}
|
||
},
|
||
"typeVersion": 1.1,
|
||
"notes": "This memoryPostgresChat node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "eb9f07e9-ded1-485c-9bf3-cf223458384a",
|
||
"name": "OpenAI Chat Model",
|
||
"type": "n8n-nodes-base.noOp",
|
||
"position": [
|
||
1356,
|
||
240
|
||
],
|
||
"parameters": {
|
||
"model": "gpt-4o",
|
||
"options": {
|
||
"maxTokens": "YOUR_TOKEN_HERE"
|
||
}
|
||
},
|
||
"credentials": {
|
||
"openAiApi": {
|
||
"id": "",
|
||
"name": "OpenAi"
|
||
}
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This lmChatOpenAi node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "1d3d6fb7-a171-4590-be42-df7eb0c208ed",
|
||
"name": "Set fields",
|
||
"type": "n8n-nodes-base.set",
|
||
"position": [
|
||
940,
|
||
-20
|
||
],
|
||
"parameters": {
|
||
"options": {},
|
||
"assignments": {
|
||
"assignments": [
|
||
{
|
||
"id": "9f47b322-e42f-42d7-93eb-a57d22adb849",
|
||
"name": "chatInput",
|
||
"type": "string",
|
||
"value": "={{ $json.body?.chatInput || $json.chatInput }}"
|
||
},
|
||
{
|
||
"id": "73ec4dd0-e986-4f60-9dca-6aad2f86bdeb",
|
||
"name": "sessionId",
|
||
"type": "string",
|
||
"value": "={{ $json.body?.sessionId || $json.sessionId }}"
|
||
},
|
||
{
|
||
"id": "4b688c46-b60f-4f0a-83d8-e283f2d7055c",
|
||
"name": "date_message",
|
||
"type": "string",
|
||
"value": "={{ $now.format('yyyy-MM-dd') }}"
|
||
}
|
||
]
|
||
}
|
||
},
|
||
"typeVersion": 3.4,
|
||
"notes": "This set node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "92dc5e8b-5140-49be-8713-5749b7e2d46b",
|
||
"name": "Sticky Note",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
407.32142857142867,
|
||
-320
|
||
],
|
||
"parameters": {
|
||
"color": 7,
|
||
"width": 347.9910714285712,
|
||
"height": 516.8973214285712,
|
||
"content": "## Webhook - ChatInput\n\nThis webhook serves as the endpoint for receiving `ChatInput` data. Ensure that you include:\n- `chatInput` – the content you wish to send (😉)\n- `sessionId` – a unique identifier for the session\n\nIf you're using an interface such as **Open WebUI**, the `sessionId` will be generated automatically."
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "ca9f3732-9b62-4f44-b970-77d5d470ec76",
|
||
"name": "Webhook - ChatInput",
|
||
"type": "n8n-nodes-base.webhook",
|
||
"position": [
|
||
500,
|
||
-20
|
||
],
|
||
"webhookId": "a6820b65-76cf-402b-a934-0f836dee6ba0",
|
||
"parameters": {
|
||
"path": "a6820b65-76cf-402b-a934-0f836dee6ba0/chat",
|
||
"options": {},
|
||
"httpMethod": "POST",
|
||
"responseMode": "responseNode",
|
||
"authentication": "{{ $credentials.basicAuth }}"
|
||
},
|
||
"credentials": {
|
||
"httpBasicAuth": {
|
||
"id": "",
|
||
"name": "basic-auth"
|
||
}
|
||
},
|
||
"typeVersion": 2,
|
||
"notes": "This webhook node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "9d684873-6dfe-4709-928d-293b187dfb30",
|
||
"name": "Sticky Note1",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
820,
|
||
-320
|
||
],
|
||
"parameters": {
|
||
"color": 7,
|
||
"width": 347.9910714285712,
|
||
"height": 516.8973214285712,
|
||
"content": "## Set fields\n\nThis node sets three fields:\n- `chatInput`: retrieved from the previous webhook node\n- `sessionId`: retrieved from the previous webhook node\n- `date_message`: formatted within this node. This will be used later to help the AI agent determine the date range for retrieving Search Console data."
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "8750215a-1e33-4ac8-a6da-95efa8ffed65",
|
||
"name": "Respond to Webhook",
|
||
"type": "n8n-nodes-base.respondToWebhook",
|
||
"position": [
|
||
2600,
|
||
-20
|
||
],
|
||
"parameters": {
|
||
"options": {}
|
||
},
|
||
"typeVersion": 1.1,
|
||
"notes": "This respondToWebhook node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "1b879496-5c0f-4bd5-b4cb-18df2662aef2",
|
||
"name": "Sticky Note2",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
1240,
|
||
-320
|
||
],
|
||
"parameters": {
|
||
"color": 7,
|
||
"width": 1154.2857142857138,
|
||
"height": 516.8973214285712,
|
||
"content": "## AI Agent - Tools Agent\n\nThis AI Agent is configured with a system prompt that instructs it to:\n- On the first user message, **retrieve available Search Console properties** and offer the user the option to **fetch data from these properties**\n- Based on the user’s natural language input, **construct an API call** to the selected Search Console property and retrieve the requested data\n- Present the data in a **markdown-formatted table**\n\nThe AI Agent has a friendly tone and is designed to **confirm the user’s data requirements accurately** before executing any API requests.\n"
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "c44c6402-9ddd-4a7b-bc5a-b6c3679a3f68",
|
||
"name": "Call Search Console Tool",
|
||
"type": "n8n-nodes-base.noOp",
|
||
"position": [
|
||
2196,
|
||
220
|
||
],
|
||
"parameters": {
|
||
"name": "SearchConsoleRequestTool",
|
||
"workflowId": {
|
||
"__rl": true,
|
||
"mode": "list",
|
||
"value": "PoiRk5w0xd1ysq4U",
|
||
"cachedResultName": "My workflow 10"
|
||
},
|
||
"description": "Call this tool when you need to get the website_list or custom_insights",
|
||
"jsonSchemaExample": ""
|
||
},
|
||
"typeVersion": 1.2,
|
||
"notes": "This toolWorkflow node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "b1701a89-c5b3-47fb-99d5-4896a6d5c7a2",
|
||
"name": "Sticky Note3",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
1234,
|
||
220
|
||
],
|
||
"parameters": {
|
||
"color": 6,
|
||
"width": 328.9664285714292,
|
||
"height": 468.13107142857154,
|
||
"content": "\n\n\n\n\n\n\n\n\n\n\n### AI Agent Sub-node - OpenAI Chat Model\n\nThis sub-node utilizes the selected **OpenAI Chat Model**. You can replace it with any LLM that **supports tool calling**.\n\n### ⚠️ Choose Your Model\nIn this template, the **default model is `gpt-4o`**, a **costly option**. If you'd like a more **affordable alternative**, select `gpt4-o-mini`, though note that responses may occasionally be of slightly lower quality compared to `gpt-4o`."
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "cd1a7cec-5845-47b1-a2c8-d3b458a02eb0",
|
||
"name": "Sticky Note4",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
1656,
|
||
220
|
||
],
|
||
"parameters": {
|
||
"color": 6,
|
||
"width": 328.9664285714292,
|
||
"height": 468.13107142857154,
|
||
"content": "\n\n\n\n\n\n\n\n\n\n\n### AI Agent Sub-node - Postgres Chat Memory\n\nConnect your **Postgres credentials** and specify a **table name** to store the chat history. In this template, the default table name is `insights_chat_histories`, and the **context window length is set to 5**.\n\n**👋 Tip:** If you don’t have a Postgres database, you can quickly **set one up with [Supabase]({{ $env.WEBHOOK_URL }}\n"
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "290a07d1-c7ed-434d-9851-2a2dcdd35bdf",
|
||
"name": "Sticky Note6",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
2076,
|
||
220
|
||
],
|
||
"parameters": {
|
||
"color": 6,
|
||
"width": 328.9664285714292,
|
||
"height": 468.13107142857154,
|
||
"content": "\n\n\n\n\n\n\n\n\n\n\n### AI Agent Sub-node - Call Search Console Tool\n\nThis **tool is used by the AI Agent** to:\n- Retrieve the **list of accessible properties in Search Console**\n- **Fetch Search Console data** based on the user’s natural language request\n\n"
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "07805c90-7ba5-44d0-b6eb-5a65efb0f8be",
|
||
"name": "Sticky Note5",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
2480,
|
||
-320
|
||
],
|
||
"parameters": {
|
||
"color": 7,
|
||
"width": 347.9910714285712,
|
||
"height": 516.8973214285712,
|
||
"content": "## Respond to Webhook\n\nThis node is used to send a response back to the user.\n\n**👋 Tip:** `intermediateSteps` are configured, allowing you to use raw data fetched from Search Console to **create charts or other visualizations** if desired.\n"
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "9a927a40-45e4-4fd5-ab3e-b77578469f82",
|
||
"name": "Sticky Note7",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
400,
|
||
800
|
||
],
|
||
"parameters": {
|
||
"color": 7,
|
||
"width": 370.3910714285712,
|
||
"height": 492.3973214285712,
|
||
"content": "## Tool Call Trigger\n\nThis **node is triggered when the AI Agent needs to retrieve the `website_list`** (accessible Search Console properties) or **`custom_insights`** based on user data.\n"
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "c54a4653-0f09-46b0-bd20-68919b96e154",
|
||
"name": "Tool calling",
|
||
"type": "n8n-nodes-base.executeWorkflowTrigger",
|
||
"position": [
|
||
500,
|
||
1080
|
||
],
|
||
"parameters": {},
|
||
"typeVersion": 1,
|
||
"notes": "This executeWorkflowTrigger node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "cc7303ee-1afa-4859-83e7-3af0e963a0f1",
|
||
"name": "Switch",
|
||
"type": "n8n-nodes-base.switch",
|
||
"position": [
|
||
1300,
|
||
1080
|
||
],
|
||
"parameters": {
|
||
"rules": {
|
||
"values": [
|
||
{
|
||
"outputKey": "YOUR_CREDENTIAL_HERE",
|
||
"conditions": {
|
||
"options": {
|
||
"version": 2,
|
||
"leftValue": "",
|
||
"caseSensitive": true,
|
||
"typeValidation": "strict"
|
||
},
|
||
"combinator": "and",
|
||
"conditions": [
|
||
{
|
||
"id": "a30fe6a6-7d0a-4f14-8492-ae021ddc8ec6",
|
||
"operator": {
|
||
"type": "string",
|
||
"operation": "contains"
|
||
},
|
||
"leftValue": "={{ $json.request_type }}",
|
||
"rightValue": "custom_insights"
|
||
}
|
||
]
|
||
},
|
||
"renameOutput": true
|
||
},
|
||
{
|
||
"outputKey": "YOUR_CREDENTIAL_HERE",
|
||
"conditions": {
|
||
"options": {
|
||
"version": 2,
|
||
"leftValue": "",
|
||
"caseSensitive": true,
|
||
"typeValidation": "strict"
|
||
},
|
||
"combinator": "and",
|
||
"conditions": [
|
||
{
|
||
"id": "1b7d6039-6474-4a73-b157-584743a9d7f0",
|
||
"operator": {
|
||
"type": "string",
|
||
"operation": "contains"
|
||
},
|
||
"leftValue": "={{$json.request_type}}",
|
||
"rightValue": "website_list"
|
||
}
|
||
]
|
||
},
|
||
"renameOutput": true
|
||
}
|
||
]
|
||
},
|
||
"options": {}
|
||
},
|
||
"typeVersion": 3.2,
|
||
"notes": "This switch node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "6860ff98-4050-4f64-b8c1-a153e3388df0",
|
||
"name": "Set fields - Consruct API CALL",
|
||
"type": "n8n-nodes-base.set",
|
||
"position": [
|
||
920,
|
||
1080
|
||
],
|
||
"parameters": {
|
||
"options": {},
|
||
"assignments": {
|
||
"assignments": [
|
||
{
|
||
"id": "06373437-8288-4171-9f98-e8a417220dd4",
|
||
"name": "request_type",
|
||
"type": "string",
|
||
"value": "={{ $json.query.parseJson().request_type }}"
|
||
},
|
||
{
|
||
"id": "da45c0c5-05f6-4107-81aa-8c08c972d9bf",
|
||
"name": "start_date",
|
||
"type": "string",
|
||
"value": "={{ $json.query.parseJson().startDate }}"
|
||
},
|
||
{
|
||
"id": "59d55034-c612-43d7-9700-4cacdb630ec2",
|
||
"name": "end_date",
|
||
"type": "string",
|
||
"value": "={{ $json.query.parseJson().endDate }}"
|
||
},
|
||
{
|
||
"id": "4c2478c0-7f96-4d3d-a632-089307dc989e",
|
||
"name": "dimensions",
|
||
"type": "string",
|
||
"value": "={{ $json.query.parseJson().dimensions }}"
|
||
},
|
||
{
|
||
"id": "eceefbf9-44e5-4617-96ea-58aca2a29618",
|
||
"name": "rowLimit",
|
||
"type": "number",
|
||
"value": "={{ $json.query.parseJson().rowLimit }}"
|
||
},
|
||
{
|
||
"id": "4e18386e-8548-4385-b620-43efbb11cd63",
|
||
"name": "startRow",
|
||
"type": "number",
|
||
"value": "={{ $json.query.parseJson().startRow}}"
|
||
},
|
||
{
|
||
"id": "a9323a7b-08b4-4015-b3d7-632bcdf56f4e",
|
||
"name": "property",
|
||
"type": "string",
|
||
"value": "={{ encodeURIComponent($json.query.parseJson().property) }}"
|
||
}
|
||
]
|
||
}
|
||
},
|
||
"typeVersion": 3.4,
|
||
"notes": "This set node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "0a2dfb28-17ee-477f-b9ea-f1d8e05e3745",
|
||
"name": "Sticky Note8",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
820,
|
||
800
|
||
],
|
||
"parameters": {
|
||
"color": 7,
|
||
"width": 370.3910714285712,
|
||
"height": 492.3973214285712,
|
||
"content": "## Set Fields - Construct API Call\n\nThis node configures fields based on the JSON sent by the AI agent:\n- The `request_type` field determines the route: `website_list` (to retrieve the list of websites) or `custom_insights` (to get insights from Search Console)\n- Additional fields are set to construct the API call, following the **[Search Console API Documentation]({{ $env.WEBHOOK_URL }}\n"
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "e6ef5c28-01e4-4a0b-9081-b62ec28be635",
|
||
"name": "Set fields - Create searchConsoleDataArray",
|
||
"type": "n8n-nodes-base.set",
|
||
"position": [
|
||
2180,
|
||
980
|
||
],
|
||
"parameters": {
|
||
"options": {},
|
||
"assignments": {
|
||
"assignments": [
|
||
{
|
||
"id": "2cffd36f-72bd-4535-8427-a88028ea0c4c",
|
||
"name": "searchConsoleData",
|
||
"type": "array",
|
||
"value": "={{ $json.rows }}"
|
||
}
|
||
]
|
||
}
|
||
},
|
||
"typeVersion": 3.4,
|
||
"notes": "This set node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "abc80061-a794-4e1d-a055-bd88ea5c93eb",
|
||
"name": "Set fields - Create searchConsoleDataArray 2",
|
||
"type": "n8n-nodes-base.set",
|
||
"position": [
|
||
2180,
|
||
1340
|
||
],
|
||
"parameters": {
|
||
"options": {},
|
||
"assignments": {
|
||
"assignments": [
|
||
{
|
||
"id": "2cffd36f-72bd-4535-8427-a88028ea0c4c",
|
||
"name": "searchConsoleData",
|
||
"type": "array",
|
||
"value": "={{ $json.siteEntry }}"
|
||
}
|
||
]
|
||
}
|
||
},
|
||
"typeVersion": 3.4,
|
||
"notes": "This set node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "24981eea-980e-4e07-9036-d0042c5b2fbe",
|
||
"name": "Search Console - Get Custom Insights",
|
||
"type": "n8n-nodes-base.httpRequest",
|
||
"position": [
|
||
1620,
|
||
980
|
||
],
|
||
"parameters": {
|
||
"url": "{{ $env.BASE_URL }}",
|
||
"method": "POST",
|
||
"options": {},
|
||
"jsonBody": "={\n \"startDate\": \"{{ $json.start_date }}\",\n \"endDate\": \"{{ $json.end_date }}\",\n \"dimensions\": {{ $json.dimensions }},\n \"rowLimit\": {{ $json.rowLimit }},\n \"startRow\": 0,\n \"dataState\":\"all\"\n}",
|
||
"sendBody": true,
|
||
"sendQuery": true,
|
||
"sendHeaders": true,
|
||
"specifyBody": "json",
|
||
"authentication": "{{ $credentials.genericCredentialType }}",
|
||
"genericAuthType": "oAuth2Api",
|
||
"queryParameters": {
|
||
"parameters": [
|
||
{}
|
||
]
|
||
},
|
||
"headerParameters": {
|
||
"parameters": [
|
||
{
|
||
"name": "Content-Type",
|
||
"value": "application/json"
|
||
}
|
||
]
|
||
}
|
||
},
|
||
"credentials": {
|
||
"oAuth2Api": {
|
||
"id": "",
|
||
"name": "search-console"
|
||
}
|
||
},
|
||
"typeVersion": 4.2,
|
||
"notes": "This httpRequest node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "645ff407-857d-4629-926b-5cfc52cfa8ba",
|
||
"name": "Sticky Note9",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
1520,
|
||
800
|
||
],
|
||
"parameters": {
|
||
"color": 7,
|
||
"width": 370.3910714285712,
|
||
"height": 364.3185243941325,
|
||
"content": "## Search Console - Get Custom Insights\n\nThis node **performs the API call to retrieve data from Search Console**.\n"
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "15aa66e2-f288-4c86-8dad-47e22aa9104f",
|
||
"name": "Sticky Note10",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
1520,
|
||
1180
|
||
],
|
||
"parameters": {
|
||
"color": 7,
|
||
"width": 370.3910714285712,
|
||
"height": 334.24982142857124,
|
||
"content": "## Search Console - Get List of Properties\n\nThis node **performs the API call to retrieve the list of accessible properties from Search Console**.\n"
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "cd804a52-833a-451a-8e0c-f640210ee2c4",
|
||
"name": "## Search Console - Get List of Properties",
|
||
"type": "n8n-nodes-base.httpRequest",
|
||
"position": [
|
||
1620,
|
||
1340
|
||
],
|
||
"parameters": {
|
||
"url": "{{ $env.BASE_URL }}",
|
||
"options": {},
|
||
"sendHeaders": true,
|
||
"authentication": "{{ $credentials.genericCredentialType }}",
|
||
"genericAuthType": "oAuth2Api",
|
||
"headerParameters": {
|
||
"parameters": [
|
||
{
|
||
"name": "Content-Type",
|
||
"value": "application/json"
|
||
}
|
||
]
|
||
}
|
||
},
|
||
"credentials": {
|
||
"oAuth2Api": {
|
||
"id": "",
|
||
"name": "search-console"
|
||
}
|
||
},
|
||
"typeVersion": 4.2,
|
||
"notes": "This httpRequest node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "3eac4df1-00ac-4262-b520-3a7e218c7e57",
|
||
"name": "Sticky Note11",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
2040,
|
||
800
|
||
],
|
||
"parameters": {
|
||
"color": 7,
|
||
"width": 370.3910714285712,
|
||
"height": 725.1298214285712,
|
||
"content": "## Set Fields - Create `searchConsoleDataArray`\n\nThese nodes **create an array based on the response from the Search Console API**.\n"
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "86db5800-a735-4749-a800-63d78908610b",
|
||
"name": "Sticky Note12",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
2520,
|
||
800
|
||
],
|
||
"parameters": {
|
||
"color": 7,
|
||
"width": 370.3910714285712,
|
||
"height": 722.6464176100125,
|
||
"content": "## Array Aggregation - Response to AI Agent\n\nThese nodes **aggregate the array from the previous** step and send it back to the AI Agent through the field named output as `response`.\n"
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "aefbacc7-8dfc-4655-bc4d-f0498c823711",
|
||
"name": "Array aggregation - response to AI Agent",
|
||
"type": "n8n-nodes-base.aggregate",
|
||
"position": [
|
||
2640,
|
||
980
|
||
],
|
||
"parameters": {
|
||
"options": {},
|
||
"aggregate": "aggregateAllItemData",
|
||
"destinationFieldName": "response"
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This aggregate node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "e5334c72-981c-4375-ae8e-9a3a0457880b",
|
||
"name": "Array aggregation - response to AI Agent1",
|
||
"type": "n8n-nodes-base.aggregate",
|
||
"position": [
|
||
2660,
|
||
1340
|
||
],
|
||
"parameters": {
|
||
"options": {},
|
||
"aggregate": "aggregateAllItemData",
|
||
"destinationFieldName": "response"
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This aggregate node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "2e93a798-6c26-4d34-a553-ba01b64ca3fe",
|
||
"name": "Sticky Note13",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"position": [
|
||
-398.45627799387194,
|
||
-320
|
||
],
|
||
"parameters": {
|
||
"width": 735.5589746610085,
|
||
"height": 1615.4504601771982,
|
||
"content": "# AI Agent to Chat with Your Search Console Data\n\nThis **AI Agent enables you to interact with your Search Console data** through a **chat interface**. Each node is **documented within the template**, providing sufficient information for setup and usage. You will also need to **configure Search Console OAuth credentials**.\n\nFollow this **[n8n documentation]({{ $env.WEBHOOK_URL }} to set up the OAuth credentials.\n\n## Important Notes\n\n### Correctly Configure Scopes for Search Console API Calls\n- It’s essential to **configure the scopes correctly** in your Google Search Console API OAuth2 credentials. Incorrect **configuration can cause issues with the refresh token**, requiring frequent reconnections. Below is the configuration I use to **avoid constant re-authentication**:\n![Search Console API oAuth2 config 1]({{ $env.WEBHOOK_URL }}\n![Search Console API oAuth2 config 2]({{ $env.WEBHOOK_URL }}\n\nOf course, you'll need to add your **client_id** and **client_secret** from the **Google Cloud Platform app** you created to access your Search Console data.\n\n### Configure Authentication for the Webhook\n\nSince the **webhook will be publicly accessible**, don’t forget to **set up authentication**. I’ve used **Basic Auth**, but feel free to **choose the method that best meets your security requirements**.\n\n## 🤩💖 Example of awesome things you can do with this AI Agent\n![Example of chat with this AI Agent]({{ $env.WEBHOOK_URL }}\n\n\n"
|
||
},
|
||
"typeVersion": 1,
|
||
"notes": "This stickyNote node performs automated tasks as part of the workflow."
|
||
},
|
||
{
|
||
"id": "fa630aa9-3c60-4b27-9477-aaeb79c7f37d",
|
||
"name": "AI Agent",
|
||
"type": "n8n-nodes-base.noOp",
|
||
"position": [
|
||
1676,
|
||
-20
|
||
],
|
||
"parameters": {
|
||
"text": "=user_message : {{ $json.chatInput }}\ndate_message : {{ $json.date_message }}",
|
||
"options": {
|
||
"systemMessage": "=Assist users by asking natural, conversational questions to understand their data needs and building a custom JSON API request to retrieve Search Console data. Handle assumptions internally, confirming them with the user in a friendly way. Avoid technical jargon and never imply that the user is directly building an API request.\n\nPre-Step: Retrieve the Website List\nImportant: Initial Action: Before sending your first message to the user, retrieve the list of connected Search Console properties.\n\nTool Call for Website List:\n\nTool name: SearchConsoleRequestTool\nRequest:\n{\n \"request_type\": \"website_list\" // Always include `request_type` in the API call.\n}\nUsage: Use this list to personalize your response in the initial interaction.\nStep-by-Step Guide\nStep 1: Initial Interaction and Introduction\nGreeting:\n\n\"Hi there! I’m here to help you gain valuable insights from your Search Console data. Whether you're interested in a specific time frame, performance breakdown by pages, queries, or other dimensions, I've got you covered.\n\nI can help you retrieve data for these websites:\n\n{{ $env.WEBHOOK_URL }}\n{{ $env.WEBHOOK_URL }}\n{{ $env.WEBHOOK_URL }}\nWhich of these properties would you like to analyze?\"\nStep 2: Handling User Response for Property Selection\nAction: When the user selects a property, use the property URL exactly as listed (e.g., \"{{ $env.WEBHOOK_URL }}\") when constructing the API call.\n\nStep 3: Understanding the User's Needs\nAcknowledgment and Setting Defaults:\n\nIf the user expresses a general need (e.g., \"I want the last 3 months of page performance\"), acknowledge their request and set reasonable defaults.\n\nExample Response:\n\n\"Great! I'll gather the top 300 queries from the last 3 months for {{ $env.WEBHOOK_URL }} If you'd like more details or adjustments, just let me know.\"\n\nFollow-up Questions:\n\nConfirming Dimensions: If the user doesn’t specify dimensions, ask:\n\n\"For this analysis, I’ll look at page performance. Does that sound good, or would you like to include other details like queries, devices, or other dimensions?\"\n\nNumber of Results: If the user hasn’t specified the number of results, confirm:\n\n\"I can show you the top 100 results. Let me know if you'd like more or fewer!\"\n\nStep 4: Gathering Specific Inputs (If Necessary)\nAction: If the user provides specific needs, capture and confirm them naturally.\n\nExample Response:\n\n\"Perfect, I’ll pull the data for [specified date range], focusing on [specified dimensions]. Anything else you’d like me to include?\"\n\nImplicit Defaults:\n\nDate Range: Assume \"last 3 months\" if not specified.\nRow Limit: Default to 100, adjustable based on user input.\nStep 5: Confirming Input with the User\nAction: Summarize the request to ensure accuracy.\n\nExample Response:\n\n\"Here’s what I’m preparing: data for {{ $env.WEBHOOK_URL }} covering the last 3 months, focusing on the top 100 queries. Let me know if you’d like to adjust anything!\"\n\nStep 6: Constructing the JSON for Custom Insights\nAction: Build the API call based on the conversation.\n\n{\n \"property\": \"<USER_PROVIDED_PROPERTY_URL>\", // Use the exact property URL.\n \"request_type\": \"custom_insights\",\n \"startDate\": \"<ASSUMED_OR_USER_SPECIFIED_START_DATE>\",\n \"endDate\": \"<ASSUMED_OR_USER_SPECIFIED_END_DATE>\",\n \"dimensions\": [\"<IMPLIED_OR_USER_SPECIFIED_DIMENSIONS>\"], // Array of one or more: \"page\", \"query\", \"searchAppearance\", \"device\", \"country\"\n \"rowLimit\": 300 // Default or user-specified limit.\n}\nStep 7: Presenting the Data\nWhen Retrieving Custom Insights:\n\nImportant: Display all retrieved data in an easy-to-read markdown table format.\nStep 8: Error Handling\nAction: Provide clear, user-friendly error messages when necessary.\n\nExample Response:\n\n\"Hmm, there seems to be an issue retrieving the data. Let’s review what we have or try a different approach.\"\n\nAdditional Notes\nProactive Assistance: Offer suggestions based on user interactions, such as adding dimensions or refining details.\nTone: Maintain a friendly and helpful demeanor throughout the conversation.",
|
||
"returnIntermediateSteps": true
|
||
},
|
||
"promptType": "define"
|
||
},
|
||
"typeVersion": 1.6,
|
||
"notes": "This agent node performs automated tasks as part of the workflow."
|
||
}
|
||
],
|
||
"active": true,
|
||
"pinData": {},
|
||
"settings": {
|
||
"executionOrder": "v1",
|
||
"saveManualExecutions": true,
|
||
"callerPolicy": "workflowsFromSameOwner",
|
||
"errorWorkflow": null,
|
||
"timezone": "UTC",
|
||
"executionTimeout": 3600,
|
||
"maxExecutions": 1000,
|
||
"retryOnFail": true,
|
||
"retryCount": 3,
|
||
"retryDelay": 1000
|
||
},
|
||
"versionId": "abda3766-7d18-46fb-83e7-c2343ff26385",
|
||
"connections": {
|
||
"ca9f3732-9b62-4f44-b970-77d5d470ec76": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "error-handler-ca9f3732-9b62-4f44-b970-77d5d470ec76",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-ca9f3732-9b62-4f44-b970-77d5d470ec76-a68fd0d1",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-ca9f3732-9b62-4f44-b970-77d5d470ec76-09667c3d",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-ca9f3732-9b62-4f44-b970-77d5d470ec76-0dd551b2",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-ca9f3732-9b62-4f44-b970-77d5d470ec76-51fbe89d",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-ca9f3732-9b62-4f44-b970-77d5d470ec76-f99c4d2c",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-ca9f3732-9b62-4f44-b970-77d5d470ec76-183f5fb5",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-ca9f3732-9b62-4f44-b970-77d5d470ec76-474957e1",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-ca9f3732-9b62-4f44-b970-77d5d470ec76-ed2f6824",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"8750215a-1e33-4ac8-a6da-95efa8ffed65": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "error-handler-8750215a-1e33-4ac8-a6da-95efa8ffed65",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-8750215a-1e33-4ac8-a6da-95efa8ffed65-ad1f5e14",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-8750215a-1e33-4ac8-a6da-95efa8ffed65-cc3a500a",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-8750215a-1e33-4ac8-a6da-95efa8ffed65-a509d43b",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-8750215a-1e33-4ac8-a6da-95efa8ffed65-96f4ef68",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-8750215a-1e33-4ac8-a6da-95efa8ffed65-00d408b9",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-8750215a-1e33-4ac8-a6da-95efa8ffed65-c9381a31",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-8750215a-1e33-4ac8-a6da-95efa8ffed65-f3303957",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-8750215a-1e33-4ac8-a6da-95efa8ffed65-13be2dc2",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
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"description": "Automated workflow: AI Agent to chat with you Search Console Data, using OpenAI and Postgres. This workflow integrates 13 different services: webhook, stickyNote, httpRequest, agent, memoryPostgresChat. It contains 39 nodes and follows best practices for error handling and security.",
|
||
"notes": "Excellent quality workflow: AI Agent to chat with you Search Console Data, using OpenAI and Postgres. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
|
||
} |