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integrationHTTP Request node
integrationYouTube node

HTTP Request and YouTube integration

Save yourself the work of writing custom integrations for HTTP Request and YouTube and use n8n instead. Build adaptable and scalable Development, Core Nodes, and Marketing workflows that work with your technology stack. All within a building experience you will love.

How to connect HTTP Request and YouTube

  • Step 1: Create a new workflow
  • Step 2: Add and configure nodes
  • Step 3: Connect
  • Step 4: Customize and extend your integration
  • Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

HTTP Request and YouTube integration: Create a new workflow and add the first step

Step 2: Add and configure HTTP Request and YouTube nodes

You can find HTTP Request and YouTube in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure HTTP Request and YouTube nodes one by one: input data on the left, parameters in the middle, and output data on the right.

HTTP Request and YouTube integration: Add and configure HTTP Request and YouTube nodes

Step 3: Connect HTTP Request and YouTube

A connection establishes a link between HTTP Request and YouTube (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

HTTP Request and YouTube integration: Connect HTTP Request and YouTube

Step 4: Customize and extend your HTTP Request and YouTube integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect HTTP Request and YouTube with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

HTTP Request and YouTube integration: Customize and extend your HTTP Request and YouTube integration

Step 5: Test and activate your HTTP Request and YouTube workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from HTTP Request to YouTube or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

HTTP Request and YouTube integration: Test and activate your HTTP Request and YouTube workflow

AI Youtube Trend Finder Based On Niche

This n8n workflow is designed to assist YouTube content creators in identifying trending topics within a specific niche. By leveraging YouTube's search and data APIs, it gathers and analyzes video performance metrics from the past two days to provide insights into what content is gaining traction. Here's how the workflow operates:

Trigger Setup: The workflow begins when a user sends a query through the chat_message_received node. If no niche is provided, the AI prompts the user to select or input one.

AI Agent (Language Model): The central node utilizes a GPT-based AI agent to:
Understand the user's niche or content preferences.
Generate tailored search terms related to the niche.
Process YouTube API responses and summarize trends using insights such as common themes, tags, and audience engagement metrics (views, likes, and comments).

YouTube Search: The youtube_search node runs a secondary workflow to query YouTube for relevant videos published within the last two days. It retrieves basic video data such as video IDs, relevance scores, and publication dates.

Video Details Retrieval: The workflow fetches additional details for each video:
Video Snippet: Metadata like title, description, and tags.
Video Statistics: Metrics such as views, likes, and comments.
Content Details: Video duration, ensuring only content longer than 3 minutes and 30 seconds is analyzed.

Data Processing:
Video metadata is cleaned, sanitized, and stored in memory.
Tags, titles, and descriptions are analyzed to identify patterns and trends across multiple videos.

Output: The workflow compiles insights and presents them to the user, highlighting:
The most common themes or patterns within the niche.
URLs to trending videos and their respective channels.
Engagement statistics, helping the user understand the popularity of the content.

Key Notes for Setup:
API Keys**: Ensure valid YouTube API credentials are configured in the get_videos, find_video_snippet, find_video_statistics, and find_video_data nodes.
Memory Buffer**: The window_buffer_memory node ensures the AI agent retains context during analysis, enhancing the quality of the generated insights.
Search Term Customization**: The AI agent dynamically creates search terms based on the user’s niche to improve search precision.

Use Case:
This workflow is ideal for YouTubers or marketers seeking data-driven inspiration for creating content that aligns with current trends, maximizing the potential to engage their audience.

Example Output:
For the niche "digital marketing":
Trending Topic: Videos about "mental triggers" and "psychological marketing."
Tags: "SEO," "Conversion Rates," "Social Proof."
Engagement: Videos with over 200K views and high likes/comment ratios are leading trends.
Video links:
https://www.youtube.com/watch?v=video_id1
https://www.youtube.com/watch?v=video_id2

Nodes used in this workflow

Popular HTTP Request and YouTube workflows

+2

AI Youtube Trend Finder Based On Niche

This n8n workflow is designed to assist YouTube content creators in identifying trending topics within a specific niche. By leveraging YouTube's search and data APIs, it gathers and analyzes video performance metrics from the past two days to provide insights into what content is gaining traction. Here's how the workflow operates: Trigger Setup: The workflow begins when a user sends a query through the chat_message_received node. If no niche is provided, the AI prompts the user to select or input one. AI Agent (Language Model): The central node utilizes a GPT-based AI agent to: Understand the user's niche or content preferences. Generate tailored search terms related to the niche. Process YouTube API responses and summarize trends using insights such as common themes, tags, and audience engagement metrics (views, likes, and comments). YouTube Search: The youtube_search node runs a secondary workflow to query YouTube for relevant videos published within the last two days. It retrieves basic video data such as video IDs, relevance scores, and publication dates. Video Details Retrieval: The workflow fetches additional details for each video: Video Snippet: Metadata like title, description, and tags. Video Statistics: Metrics such as views, likes, and comments. Content Details: Video duration, ensuring only content longer than 3 minutes and 30 seconds is analyzed. Data Processing: Video metadata is cleaned, sanitized, and stored in memory. Tags, titles, and descriptions are analyzed to identify patterns and trends across multiple videos. Output: The workflow compiles insights and presents them to the user, highlighting: The most common themes or patterns within the niche. URLs to trending videos and their respective channels. Engagement statistics, helping the user understand the popularity of the content. Key Notes for Setup: API Keys**: Ensure valid YouTube API credentials are configured in the get_videos, find_video_snippet, find_video_statistics, and find_video_data nodes. Memory Buffer**: The window_buffer_memory node ensures the AI agent retains context during analysis, enhancing the quality of the generated insights. Search Term Customization**: The AI agent dynamically creates search terms based on the user’s niche to improve search precision. Use Case: This workflow is ideal for YouTubers or marketers seeking data-driven inspiration for creating content that aligns with current trends, maximizing the potential to engage their audience. Example Output: For the niche "digital marketing": Trending Topic: Videos about "mental triggers" and "psychological marketing." Tags: "SEO," "Conversion Rates," "Social Proof." Engagement: Videos with over 200K views and high likes/comment ratios are leading trends. Video links: https://www.youtube.com/watch?v=video_id1 https://www.youtube.com/watch?v=video_id2

Build your own HTTP Request and YouTube integration

Create custom HTTP Request and YouTube workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

YouTube supported actions

Get
Retrieve a channel
Get Many
Retrieve many channels
Update
Update a channel
Upload Banner
Upload a channel banner
Create
Create a playlist
Delete
Delete a playlist
Get
Get a playlist
Get Many
Retrieve many playlists
Update
Update a playlist
Add
Add an item to a playlist
Delete
Delete a item from a playlist
Get
Get a playlist's item
Get Many
Retrieve many playlist items
Delete
Delete a video
Get
Get a video
Get Many
Retrieve many videos
Rate
Rate a video
Update
Update a video
Upload
Upload a video
Get Many
Retrieve many video categories
Use case

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Use case

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FAQs

  • Can HTTP Request connect with YouTube?

  • Can I use HTTP Request’s API with n8n?

  • Can I use YouTube’s API with n8n?

  • Is n8n secure for integrating HTTP Request and YouTube?

  • How to get started with HTTP Request and YouTube integration in n8n.io?

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