Extracción y filtrado de publicaciones y comentarios de Reddit mediante búsqueda por palabras clave y formato Markdown
Avanzado
Este es unContent Creation, Multimodal AIflujo de automatización del dominio deautomatización que contiene 28 nodos.Utiliza principalmente nodos como If, Set, Code, Sort, Limit. Extraer y filtrar publicaciones y comentarios de Reddit mediante búsqueda por palabras clave y formato Markdown
Requisitos previos
- •Punto final de HTTP Webhook (n8n generará automáticamente)
- •Pueden requerirse credenciales de autenticación para la API de destino
Nodos utilizados (28)
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": "b6be3264d10563f53f60f119665bef14019561878be2f73c07ebd4200e9255cf"
},
"nodes": [
{
"id": "5496b8fe-32be-493c-a2ae-fad6d361014f",
"name": "Recorrer elementos1",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-1504,
448
],
"parameters": {},
"typeVersion": 3
},
{
"id": "59247686-2eda-4469-9d68-0b1f8d52a12e",
"name": "Establecer Reddit Posts",
"type": "n8n-nodes-base.set",
"position": [
-1696,
80
],
"parameters": {},
"typeVersion": 3.4
},
{
"id": "63275ce4-a50f-4e00-91d4-bb51e3df36cb",
"name": "Limitar",
"type": "n8n-nodes-base.limit",
"position": [
-1824,
448
],
"parameters": {},
"typeVersion": 1
},
{
"id": "33804ada-8577-4b83-83a0-b74f91104aee",
"name": "Nota adhesiva",
"type": "n8n-nodes-base.stickyNote",
"position": [
-3392,
-288
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "684a2d18-25a9-4f34-bb29-b9d46c4b28a5",
"name": "reddit tool",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
-2752,
896
],
"parameters": {},
"typeVersion": 4.2
},
{
"id": "cb8d6327-88e7-4cb9-acfb-84605f13a821",
"name": "reddit tool webhook",
"type": "n8n-nodes-base.webhook",
"position": [
-2448,
80
],
"webhookId": "c09463b8-3516-4923-b9aa-0b066f129113",
"parameters": {},
"typeVersion": 2
},
{
"id": "4ec37d5e-ef00-44ef-8c6b-6d6fd5e2cbd8",
"name": "Establecer keywords",
"type": "n8n-nodes-base.set",
"position": [
-2256,
80
],
"parameters": {},
"typeVersion": 3.4
},
{
"id": "9175f95b-f5e2-489a-861c-7949d2db285c",
"name": "Posted in Last x days",
"type": "n8n-nodes-base.code",
"position": [
-1472,
80
],
"parameters": {},
"typeVersion": 2
},
{
"id": "6b7470b4-65aa-4f2c-a008-ed6eef7ba397",
"name": "Nota adhesiva1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1520,
-48
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "263183fe-7b02-4ff1-956d-28bfa15f6d6f",
"name": "Nota adhesiva2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1248,
-48
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "0c45491f-4b76-40f0-8410-d551d2621587",
"name": "Upvotes Requirement Filtraring",
"type": "n8n-nodes-base.if",
"position": [
-1200,
80
],
"parameters": {},
"typeVersion": 2.2
},
{
"id": "e1d390d1-29e3-4d31-acae-c4c9bc91e38c",
"name": "Eliminar duplicados",
"type": "n8n-nodes-base.code",
"position": [
-944,
64
],
"parameters": {},
"typeVersion": 2
},
{
"id": "13b76f3c-e990-4fbf-886c-a0b2005a8b86",
"name": "Nota adhesiva3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1936,
352
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "b777993a-f03e-4ba4-a813-43802abc1715",
"name": "Ordenar by upvotes (descending)",
"type": "n8n-nodes-base.sort",
"position": [
-752,
64
],
"parameters": {},
"typeVersion": 1
},
{
"id": "a46e9767-a252-4e39-8310-856656f5934f",
"name": "Establecer post for Loop",
"type": "n8n-nodes-base.set",
"position": [
-1280,
432
],
"parameters": {},
"typeVersion": 3.4
},
{
"id": "3a50e4ad-90c6-4612-a9d5-ee826eaa68c7",
"name": "Get Comments",
"type": "n8n-nodes-base.reddit",
"onError": "continueRegularOutput",
"position": [
-1104,
432
],
"parameters": {},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "5bc159c0-bcd8-4d4c-ba1a-17483eaf7585",
"name": "Format Comments",
"type": "n8n-nodes-base.code",
"position": [
-752,
432
],
"parameters": {},
"typeVersion": 2
},
{
"id": "d7c820da-8e61-4237-8efb-96990900b4fe",
"name": "Respond to Disparador Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
-832,
768
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "36aa471a-8f26-4b89-b372-3ba090616a64",
"name": "Establecer Final Report",
"type": "n8n-nodes-base.set",
"position": [
-528,
432
],
"parameters": {},
"typeVersion": 3.4
},
{
"id": "734f851c-f2ff-49f9-9ea0-0999eb0ebe68",
"name": "Combine Posts",
"type": "n8n-nodes-base.code",
"position": [
-1072,
768
],
"parameters": {},
"typeVersion": 2
},
{
"id": "dc9b994c-58cc-4280-8afb-9196d57005a4",
"name": "Agregar",
"type": "n8n-nodes-base.aggregate",
"position": [
-1264,
768
],
"parameters": {},
"executeOnce": false,
"typeVersion": 1
},
{
"id": "187745d9-4901-44a3-825d-ccf46a4bd62f",
"name": "reddit tool webhook subreddit",
"type": "n8n-nodes-base.webhook",
"position": [
-2448,
-128
],
"webhookId": "c09463b8-3516-4923-b9aa-0b066f129113",
"parameters": {},
"typeVersion": 2
},
{
"id": "2ac6a250-45cc-45ac-8ac0-a2fcb80f79aa",
"name": "Establecer subreddit",
"type": "n8n-nodes-base.set",
"position": [
-2256,
-128
],
"parameters": {},
"typeVersion": 3.4
},
{
"id": "ef67aa90-01e2-4ff4-a8ef-f2ebd1803be7",
"name": "Get posts from subreddit",
"type": "n8n-nodes-base.reddit",
"position": [
-1984,
-128
],
"parameters": {},
"typeVersion": 1
},
{
"id": "8aea3692-5840-4aeb-a89c-5c466c1f4b4d",
"name": "Search for posts by keywords",
"type": "n8n-nodes-base.reddit",
"position": [
-1984,
80
],
"parameters": {},
"typeVersion": 1
},
{
"id": "932c4490-dfa4-493e-b0c2-dc7bc089d3c8",
"name": "reddit tool http request (for subreddit)",
"type": "n8n-nodes-base.httpRequest",
"position": [
-3312,
880
],
"parameters": {},
"typeVersion": 4.2
},
{
"id": "5f9f3c5b-8632-40bd-94cf-5275f1664145",
"name": "reddit tool http request",
"type": "n8n-nodes-base.httpRequest",
"position": [
-3040,
896
],
"parameters": {},
"typeVersion": 4.2
},
{
"id": "b3ee3ffa-9392-45d6-8e84-dd2b1e5f0184",
"name": "Extract Top 20 Comments",
"type": "n8n-nodes-base.code",
"position": [
-944,
432
],
"parameters": {},
"executeOnce": true,
"typeVersion": 2
}
],
"pinData": {},
"connections": {
"Limit": {
"main": [
[
{
"node": "Loop Over Items1",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "734f851c-f2ff-49f9-9ea0-0999eb0ebe68",
"type": "main",
"index": 0
}
]
]
},
"3a50e4ad-90c6-4612-a9d5-ee826eaa68c7": {
"main": [
[
{
"node": "b3ee3ffa-9392-45d6-8e84-dd2b1e5f0184",
"type": "main",
"index": 0
}
]
]
},
"Set keywords": {
"main": [
[
{
"node": "8aea3692-5840-4aeb-a89c-5c466c1f4b4d",
"type": "main",
"index": 0
}
]
]
},
"734f851c-f2ff-49f9-9ea0-0999eb0ebe68": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"Set subreddit": {
"main": [
[
{
"node": "ef67aa90-01e2-4ff4-a8ef-f2ebd1803be7",
"type": "main",
"index": 0
}
]
]
},
"5bc159c0-bcd8-4d4c-ba1a-17483eaf7585": {
"main": [
[
{
"node": "Set Final Report",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items1": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
],
[
{
"node": "Set post for Loop",
"type": "main",
"index": 0
}
]
]
},
"Set Final Report": {
"main": [
[
{
"node": "Loop Over Items1",
"type": "main",
"index": 0
}
]
]
},
"Set Reddit Posts": {
"main": [
[
{
"node": "9175f95b-f5e2-489a-861c-7949d2db285c",
"type": "main",
"index": 0
}
]
]
},
"Remove Duplicates": {
"main": [
[
{
"node": "Sort by upvotes (descending)",
"type": "main",
"index": 0
}
]
]
},
"Set post for Loop": {
"main": [
[
{
"node": "3a50e4ad-90c6-4612-a9d5-ee826eaa68c7",
"type": "main",
"index": 0
}
]
]
},
"cb8d6327-88e7-4cb9-acfb-84605f13a821": {
"main": [
[
{
"node": "Set keywords",
"type": "main",
"index": 0
}
]
]
},
"9175f95b-f5e2-489a-861c-7949d2db285c": {
"main": [
[
{
"node": "Upvotes Requirement Filtering",
"type": "main",
"index": 0
}
]
]
},
"b3ee3ffa-9392-45d6-8e84-dd2b1e5f0184": {
"main": [
[
{
"node": "5bc159c0-bcd8-4d4c-ba1a-17483eaf7585",
"type": "main",
"index": 0
}
]
]
},
"ef67aa90-01e2-4ff4-a8ef-f2ebd1803be7": {
"main": [
[
{
"node": "Set Reddit Posts",
"type": "main",
"index": 0
}
]
]
},
"8aea3692-5840-4aeb-a89c-5c466c1f4b4d": {
"main": [
[
{
"node": "Set Reddit Posts",
"type": "main",
"index": 0
}
]
]
},
"Sort by upvotes (descending)": {
"main": [
[
{
"node": "Limit",
"type": "main",
"index": 0
}
]
]
},
"Upvotes Requirement Filtering": {
"main": [
[
{
"node": "Remove Duplicates",
"type": "main",
"index": 0
}
]
]
},
"187745d9-4901-44a3-825d-ccf46a4bd62f": {
"main": [
[
{
"node": "Set subreddit",
"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?
Avanzado - 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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Nivel de dificultad
Avanzado
Número de nodos28
Categoría2
Tipos de nodos13
Descripción de la dificultad
Autor
Muhammad Asadullah
@asadtechI am a Data Scientist, and Generative AI Developer with expertise in building AI applications, chatbots, and automation systems. Skilled in Python, R, and no-code/low-code platforms like n8n and Make, I combine strong technical knowledge in machine learning and NLP with hands-on experience in power systems, transformers, and solar design.
Enlaces externos
Ver en n8n.io →
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