Curated

(5/5)

Complete Youtube

Main Workflow

Integrations Used (7)

Workflow Structure (13 nodes)

100%

Langchain.chat Trigger

chat_message_received

Langchain.lm Chat Open Ai

openai_llm

Langchain.agent

AI Agent

Langchain.memory Buffer Window

window_buffer_memory

Langchain.tool Workflow

youtube_search

You Tube

get_videos1

Split In Batches

loop_over_items1

Http Request

find_video_data1

Code

retrieve_data_from_memory1

if_longer_than_3_

Set

response1

Set

group_data1

Code

save_data_to_memory1

Node Types:

default

trigger

http

transform

code

logic

Requires credentials

Prerequisites

Required Credentials (1)

You Tube

Used by: get_videos1

Docs

Complexity

Advanced

Expert level. Custom code, complex logic, many integrations.

Setup time: ~40 min

Score: 66/100

Custom Code

Conditional Logic

Loops

When to Use This Workflow

AI-Powered Content Creation

Automate content generation, summarization, or analysis using AI capabilities.

Save hours of manual work while maintaining quality and consistency.

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "id": "XSyVFC1tsGSxNwX9",
  "meta": {
    "instanceId": "60ad864624415060d2d0a0e71acd8b3b40e4ee2e9ef4b439d9937d3d33537a96"
  },
  "name": "Complete Youtube",
  "tags": [],
  "nodes": [
    {
      "id": "fd74706b-609b-4723-b4a4-067e1b064194",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        300,
        60
      ],
      "parameters": {
        "options": {
          "systemMessage": "=You help youtube creators find trending videos based on a specific niche.\n\nVerify if the user informed a niche before doing anything. If not, then ask him for one by giving him suggestions for him to select from.\n\nAfter you know what type of content the user might produce, use the \"youtube_search\" tool up to 3 times with different search terms based on the user's content type and niche.\n\nThe tool will answer with a list of videos from the last 2 days that had the most amount of relevancy. It returns a list of json's covering each video's id, view count, like count, comment count, description, channel title, tags and channel id. Each video is separated by \"### NEXT VIDEO FOUND: ###\".\n\nYou should then proceed to understand the data received then provide the user with insightful data of what could be trending from the past 2 days. Provide the user links to the trending videos which should be in this structure:\n\nhttps://www.youtube.com/watch?v={video_id}\n\nto reach the channel's link you should use:\n\nhttps://www.youtube.com/channel/{channel_id}\n\nFind patterns in the tags, titles and especially in the related content for the videos found.\n\nYour mission isn't to find the trending videos. It's to provide the user with valuable information of what is trending in that niche in terms of content news. Remember to provide the user with the numbers of views, likes and comments while commenting about any video. So you should not talk about any particular video, focus rather in explaining the overall senario of all that was found.\n\nExample of response:\n\n\"It seems like what is trending in digital marketing right now is talking about mental triggers, since 3 of the most trending videos in the last 2 days were about...\""
        }
...