Generación de Gráficos con IA Basada en Datos Web y Carga en WordPress
Intermedio
Este es unContent Creation, Multimodal AIflujo de automatización del dominio deautomatización que contiene 15 nodos.Utiliza principalmente nodos como Code, HttpRequest, ManualTrigger, Agent, OpenAi. Generación de gráficos impulsada por IA basada en datos web, utilizando GPT-4o y carga en WordPress
Requisitos previos
- •Pueden requerirse credenciales de autenticación para la API de destino
- •Clave de API de OpenAI
Nodos utilizados (15)
Categoría
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
"meta": {
"instanceId": "52254486b159b349334953c1738da94e90477c7604aa8db2062d11afc0120739",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "502f1b86-95d7-49c1-9503-2a38e37ff9ba",
"name": "When Executed by Another Workflow",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
992,
-224
],
"parameters": {
"workflowInputs": {
"values": [
{
"name": "prompt"
}
]
}
},
"typeVersion": 1.1
},
{
"id": "88196843-a411-4ef0-ba4e-df54fc8f924f",
"name": "QuickChart Object Schema",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1920,
-16
],
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"slug\": {\n \"type\": \"string\",\n \"description\": \"Proposed image filename or identifier (e.g., 'ev-sales-2024')\"\n },\n \"width\": {\n \"type\": \"string\",\n \"description\": \"Pixel width of the image canvas (e.g., '500')\"\n },\n \"height\": {\n \"type\": \"string\",\n \"description\": \"Pixel height of the image canvas (e.g., '300')\"\n },\n \"devicePixelRatio\": {\n \"type\": \"number\",\n \"description\": \"Device pixel ratio (e.g., 2)\"\n },\n \"format\": {\n \"type\": \"string\",\n \"enum\": [\"png\", \"jpeg\", \"webp\", \"svg\", \"pdf\"],\n \"description\": \"Output format of the image\"\n },\n \"backgroundColor\": {\n \"type\": \"string\",\n \"description\": \"Canvas background color in hex or named CSS color, make it white #FFFFFF by default\"\n },\n \"version\": {\n \"type\": \"string\",\n \"description\": \"Chart.js version (e.g., '3.9.1')\"\n },\n \"chart\": {\n \"type\": \"object\",\n \"properties\": {\n \"type\": {\n \"type\": \"string\",\n \"enum\": [\"line\", \"bar\", \"doughnut\", \"pie\", \"polarArea\"]\n },\n \"data\": {\n \"type\": \"object\",\n \"properties\": {\n \"labels\": {\n \"type\": \"array\",\n \"items\": { \"type\": \"string\" },\n \"minItems\": 1\n },\n \"datasets\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"label\": { \"type\": \"string\" },\n \"data\": {\n \"type\": \"array\",\n \"items\": { \"type\": \"number\" },\n \"minItems\": 1\n },\n \"backgroundColor\": {\n \"type\": [\"string\", \"array\"],\n \"items\": { \"type\": \"string\" }\n },\n \"borderColor\": {\n \"type\": [\"string\", \"array\"],\n \"items\": { \"type\": \"string\" }\n },\n \"fill\": { \"type\": [\"boolean\", \"string\"] },\n \"borderWidth\": { \"type\": \"number\" }\n },\n \"required\": [\"label\", \"data\"]\n },\n \"minItems\": 1\n }\n },\n \"required\": [\"labels\", \"datasets\"]\n },\n \"options\": {\n \"type\": \"object\",\n \"description\": \"Chart.js configuration options including title, plugins, scales, etc.\"\n }\n },\n \"required\": [\"type\", \"data\"]\n }\n },\n \"required\": [\"slug\", \"chart\"],\n \"default\": {\n \"format\": \"png\",\n \"backgroundColor\": \"white\"\n }\n}\n"
},
"typeVersion": 1.2
},
{
"id": "9a398d7a-0435-44d2-9cbb-e5156fbad68f",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1664,
-16
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "k5QLUV8boAepwce0",
"name": "OpenAi account - default project"
}
},
"typeVersion": 1.2
},
{
"id": "0afadfd3-348a-4df7-958b-c14eca32b316",
"name": "Upload image2",
"type": "n8n-nodes-base.httpRequest",
"position": [
2272,
-224
],
"parameters": {
"url": "https://your.wordpress.com/wp-json/wp/v2/media",
"method": "POST",
"options": {},
"sendBody": true,
"contentType": "binaryData",
"sendHeaders": true,
"authentication": "predefinedCredentialType",
"headerParameters": {
"parameters": [
{
"name": "Content-Disposition",
"value": "=attachment; filename=\"chart-{{ $json.output.slug }}.png\""
}
]
},
"inputDataFieldName": "data",
"nodeCredentialType": "wordpressApi"
},
"credentials": {
"wordpressApi": {
"id": "G1G8jDdEoWAVytQb",
"name": "Wordpress - author@email.com"
}
},
"retryOnFail": true,
"typeVersion": 4.2,
"waitBetweenTries": 5000
},
{
"id": "bb57c519-8dff-4bf5-8db6-a1c17c9bfb78",
"name": "Generate Chart AI agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1664,
-224
],
"parameters": {
"text": "={{ $json.message.content }}",
"options": {
"systemMessage": "You are a Chart.js configuration agent. Your task is to transform a user-provided data table into a valid QuickChart JSON object compatible with line, bar, pie, doughnut, or polarArea charts.\n\nInstructions:\n1. Read and interpret the markdown table input provided by the data agent.\n2. Based on structure, choose the most appropriate chart type from:\n - \"line\", \"bar\" → for time series or value comparison\n - \"pie\", \"doughnut\", \"polarArea\" → for proportion-based data\n3. Construct a valid Chart.js object following QuickChart format.\n4. Always include:\n - `type`\n - `data.labels`\n - `data.datasets` (with `label`, `data`, `backgroundColor`)\n - `options.plugins.title.text` with a suitable chart title\n\nOutput only valid JSON matching the schema:\n- No code blocks\n- No markdown\n- No explanations"
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.7
},
{
"id": "e6235b7c-6b11-4cba-bc0c-9e22db2e8220",
"name": "When clicking ‘Execute workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
992,
-32
],
"parameters": {},
"typeVersion": 1
},
{
"id": "9570f247-b9f1-49b2-b104-6adcbe32e450",
"name": "Message a model",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
1248,
-224
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-search-preview",
"cachedResultName": "GPT-4O-SEARCH-PREVIEW"
},
"options": {},
"messages": {
"values": [
{
"role": "system",
"content": "You are a data aggregation AI agent with access to real-time web search. Your goal is to collect relevant, structured, and up-to-date data from trusted sources based on the user's query.\n\nInstructions:\n1. Search the web for reliable, factual, and recent data related to the query.\n2. Extract the data into a clean, readable table format (markdown table).\n3. The table should contain categories (e.g. country, platform, year) as rows or columns depending on structure.\n4. Include source URLs for each data group, appended below the table.\n\nRules:\n- Do not interpret or visualize the data.\n- Do not generate charts.\n- Do not summarize or paraphrase data.\n- Return only the data table and source list in markdown format."
},
{
"content": "={{ $json.prompt }}"
}
]
}
},
"credentials": {
"openAiApi": {
"id": "k5QLUV8boAepwce0",
"name": "OpenAi account - default project"
}
},
"typeVersion": 1.8
},
{
"id": "5002b0f9-036d-4416-b36a-818c699e0b71",
"name": "Think1",
"type": "@n8n/n8n-nodes-langchain.toolThink",
"position": [
1792,
-16
],
"parameters": {},
"typeVersion": 1
},
{
"id": "7612a971-459f-4106-8b0d-eda11b23f46a",
"name": "Create QuickChart",
"type": "n8n-nodes-base.httpRequest",
"position": [
2032,
-224
],
"parameters": {
"url": "=https://quickchart.io/chart",
"method": "POST",
"options": {},
"jsonBody": "={{ $json.output }}",
"sendBody": true,
"specifyBody": "json"
},
"typeVersion": 4.2
},
{
"id": "b654b232-2e12-4864-a829-752b77abc3c4",
"name": "Code",
"type": "n8n-nodes-base.code",
"position": [
2496,
-224
],
"parameters": {
"jsCode": "return {\n \"research\" : $('Message a model').first().json,\n \"graph_data\" : $('Generate Chart AI agent').first().json.output,\n \"graph_image\" : $('Upload image2').first().json,\n \"result_image_url\" : $('Upload image2').first().json.guid.raw\n}"
},
"typeVersion": 2
},
{
"id": "6e184446-0d1c-43fa-8bc0-862bca3b17a2",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
1216,
-320
],
"parameters": {
"color": 5,
"width": 336,
"height": 448,
"content": "## Search the web\nUsing Gpt 4o search preview and generate a table"
},
"typeVersion": 1
},
{
"id": "abca6241-a82c-4a6f-b604-fecdb4268533",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1568,
-320
],
"parameters": {
"color": 4,
"width": 624,
"height": 448,
"content": "## Generate chart\nUsing openchart / chart.js "
},
"typeVersion": 1
},
{
"id": "acfa1a4d-d900-445b-a1a1-90147ee441d9",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
2208,
-320
],
"parameters": {
"color": 6,
"width": 224,
"height": 448,
"content": "## Upload chart image to WP\n"
},
"typeVersion": 1
},
{
"id": "5a9349d9-6d61-4aac-9ead-a3bb44506d5d",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1568,
144
],
"parameters": {
"color": 7,
"width": 864,
"height": 576,
"content": "## Convert the table to chart.js\n"
},
"typeVersion": 1
},
{
"id": "3e89f9d7-d068-49c2-a22c-3424fa2de70e",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
960,
144
],
"parameters": {
"color": 7,
"width": 592,
"height": 576,
"content": "## Search the web and generate a table\n```\n[\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": \"Here is the data on Apple's market share in the mobile phone market for Q1 2025:\\n\\n\n| Q1 2025 | Shipments | Market Share | Shipments | Market Share | Annual Growth |\\n\n|---------|------------|--------------|-----------|--------------|---------------|\\n\n| Samsung | 60.5 | 20% | 60.0 | 20% | 1% |\\n\n| Apple | 55.0 | 19% | 48.7 | 16% | 13% |\\n\n| Xiaomi | 41.8 | 14% | 40.7 | 14% | 3% |\\n\n| vivo | 22.9 | 8% | 21.4 | 7% | 7% |\\n\n| OPPO | 22.7 | 8% | 25.0 | 8% | -9% |\\n\n| Others | 94.0 | 32% | 100.5 | 34% | -6% |\\n\n| Total | 296.9 | 100% | 296.2 | *100% | 0% |\\n\\n\n*Note: Percentages may not add up to 100% due to rounding.*\\n\\nSource: [Canalys Newsroom - Global smartphone market grows just 1% in Q1 after rocky start to 2025](https://www.canalys.com/newsroom/global-smartphone-market-q1-2025)\\n\\nAdditionally, according to Counterpoint Research, Apple achieved a 19% market share in Q1 2025, marking the first time it secured the top position in global smartphone sales during a first quarter. This success was driven by the launch of the iPhone 16e and strong demand in markets such as Japan and India. ([counterpointresearch.com](https://www.counterpointresearch.com/insight/post-insight-global-smartphone-market-grows-3-in-q1-2025-but-future-uncertain-apple-takes-1-spot-in-q1-for-first-time/?utm_source=openai))\\n\\n*Note: Different research firms may report varying figures due to differences in data collection methodologies.* \",\n \"refusal\": null,\n \"annotations\": [\n {\n \"type\": \"url_citation\",\n \"url_citation\": {\n \"end_index\": 2146,\n \"start_index\": 1935,\n \"title\": \"Global Smartphone Market Grows 3% in Q1 2025 But Future Uncertain; Apple Takes #1 Spot in Q1 For First Time\",\n \"url\": \"https://www.counterpointresearch.com/insight/post-insight-global-smartphone-market-grows-3-in-q1-2025-but-future-uncertain-apple-takes-1-spot-in-q1-for-first-time/?utm_source=openai\"\n }\n }\n ]\n },\n \"finish_reason\": \"stop\"\n }\n]\n```"
},
"typeVersion": 1
}
],
"pinData": {
"When clicking ‘Execute workflow’": [
{
"prompt": "Generate a graph of apple's market share in the mobile phone market in q1 2025"
}
]
},
"connections": {
"5002b0f9-036d-4416-b36a-818c699e0b71": {
"ai_tool": [
[
{
"node": "bb57c519-8dff-4bf5-8db6-a1c17c9bfb78",
"type": "ai_tool",
"index": 0
}
]
]
},
"0afadfd3-348a-4df7-958b-c14eca32b316": {
"main": [
[
{
"node": "b654b232-2e12-4864-a829-752b77abc3c4",
"type": "main",
"index": 0
}
]
]
},
"9570f247-b9f1-49b2-b104-6adcbe32e450": {
"main": [
[
{
"node": "bb57c519-8dff-4bf5-8db6-a1c17c9bfb78",
"type": "main",
"index": 0
}
]
]
},
"7612a971-459f-4106-8b0d-eda11b23f46a": {
"main": [
[
{
"node": "0afadfd3-348a-4df7-958b-c14eca32b316",
"type": "main",
"index": 0
}
]
]
},
"9a398d7a-0435-44d2-9cbb-e5156fbad68f": {
"ai_languageModel": [
[
{
"node": "bb57c519-8dff-4bf5-8db6-a1c17c9bfb78",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"bb57c519-8dff-4bf5-8db6-a1c17c9bfb78": {
"main": [
[
{
"node": "7612a971-459f-4106-8b0d-eda11b23f46a",
"type": "main",
"index": 0
}
]
]
},
"88196843-a411-4ef0-ba4e-df54fc8f924f": {
"ai_outputParser": [
[
{
"node": "bb57c519-8dff-4bf5-8db6-a1c17c9bfb78",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"502f1b86-95d7-49c1-9503-2a38e37ff9ba": {
"main": [
[
{
"node": "9570f247-b9f1-49b2-b104-6adcbe32e450",
"type": "main",
"index": 0
}
]
]
},
"e6235b7c-6b11-4cba-bc0c-9e22db2e8220": {
"main": [
[
{
"node": "9570f247-b9f1-49b2-b104-6adcbe32e450",
"type": "main",
"index": 0
}
]
]
}
}
}Preguntas frecuentes
¿Cómo usar este flujo de trabajo?
Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.
¿En qué escenarios es adecuado este flujo de trabajo?
Intermedio - Creación de contenido, IA Multimodal
¿Es de pago?
Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.
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Información del flujo de trabajo
Nivel de dificultad
Intermedio
Número de nodos15
Categoría2
Tipos de nodos10
Descripción de la dificultad
Autor
Jay Emp0
@jay-emp0AI and Automation developer. Im implementing n8n and ai tools to automate marketing and sales in companies
Enlaces externos
Ver en n8n.io →
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