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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

Youtube Video

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

Automatic Youtube Shorts Generator

Automated YouTube Shorts Creator from Google News Trends Transform trending Google News articles into engaging YouTube Shorts with this fully automated workflow. Save time and effort while creating dynamic, eye-catching videos that are perfect for content creators, journalists, and digital marketers. Key Features Trend Analysis: Automatically fetch Google News articles and entertainment trends every 24 hours. AI-Powered Video Creation: Generate accurate transcripts from articles using Deepseek AI. Create visually appealing backgrounds with AI image generation tools. Add voiceovers with ElevenLabs TTS or similar services. Dynamic Video Compilation: Combine images, audio, and background music to craft short, dynamic videos. Fully customizable video length and music selection. YouTube Integration: Upload videos directly to YouTube, complete with autogenerated titles and descriptions. Organized Management: Titles and descriptions are saved to a Google Sheet for easy tracking and editing. How It Works Fetch trending topics from Google News using Deepseek. Convert the article's content into a readable transcript. Automatically create a voiceover, generate visuals, and combine them into a complete video. Upload the video to YouTube with a dynamic caption and description. Who Is It For? Content creators looking to expand their reach on YouTube Shorts. News agencies aiming to deliver content faster. Digital marketers needing quick, engaging videos. Setup Requirements API keys for Google News, ElevenLabs, OpenAI, and Deepseek. Basic knowledge of API integration and video content creation. Start creating trending, eye-catching YouTube Shorts in minutes. Automate your workflow and stay ahead in the content game!
+2

AI Youtube Trend Finder Based On Niche

Youtube Video 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
+9

Hacker News to Video Content

Hacker News to Video Content Overview This workflow converts trending articles from Hacker News into engaging video content. It integrates AI-based tools to analyze, summarize, and generate multimedia content, making it ideal for content creators, educators, and marketers. Features Article Retrieval: Pulls trending articles from Hacker News. Limits the number of articles to process (configurable). Content Analysis: Uses OpenAI's GPT model to: Summarize articles. Assess their relevance to specific topics like automation or AI. Extract key image URLs. Image and Video Generation: Leonardo.ai: Creates stunning AI-generated images based on extracted prompts. RunwayML: Converts images into high-quality videos. Structured Content Creation: Parses content into structured formats for easy reuse. Generates newsletter-friendly blurbs and social media-ready captions. Cloud Integration: Uploads generated assets to: Dropbox Google Drive Microsoft OneDrive MinIO Social Media Posting (Optional): Supports posting to YouTube, X (Twitter), LinkedIn, and Instagram. Workflow Steps Trigger Initiated manually via the "Test Workflow" button. Fetch Articles Retrieves articles from Hacker News. Limits the results to avoid processing overload. Content Filtering Evaluates if articles are related to AI/Automation using OpenAI's language model. Image and Video Generation Generates: AI-driven image prompts via Leonardo.ai. Videos using RunwayML. Asset Management Saves the output to cloud storage services or uploads directly to social media platforms. Prerequisites API Keys**: Hacker News OpenAI Leonardo.ai RunwayML Creatomate n8n Installation**: Ensure n8n is installed and configured locally or on a server. Credentials**: Set up credentials in n8n for all external services used in the workflow. Customization Replace Hacker News with any other data source node if needed. Configure the "Article Analysis" node for different topics. Adjust the cloud storage services or add custom storage options. Usage Import this workflow into your n8n instance. Configure your API credentials. Trigger the workflow manually or schedule it as needed. Check the outputs in your preferred cloud storage or social media platform. Notes Extend this workflow further by automating social media posting or newsletter integration. For any questions, refer to the official documentation or reach out to the creator. About the Creator This workflow was built by AlexK1919, an AI-native workflow automation architect. Check out the overview video for a quick demo. Tools Used Leonardo.ai** RunwayML** Creatomate** Hacker News API** OpenAI GPT** Feel free to adapt and extend this workflow to meet your specific needs! 🎉

Automated Faceless YouTube Video Generator Using Leonardo AI, and Creatomate

Automate Your Video Content Creation: AI-Powered Video Generation This n8n template streamlines the creation of high-quality, faceless videos, automating the entire process from scriptwriting to final video production. Leveraging AI tools like Leonardo AI and Creatomate, this workflow empowers content creators to efficiently produce engaging videos without on-camera presence. Who is this for? This template is ideal for: Content creators looking to scale their presence on YouTube, Instagram, and TikTok. Marketers seeking to automate video marketing campaigns. Anyone wanting to produce professional-looking videos quickly and easily. Individuals wishing to create faceless video content. What problem is this workflow solving? Creating engaging videos can be time-consuming and resource-intensive. This workflow eliminates the manual effort involved in scripting, image sourcing, and video editing, allowing creators to focus on strategy and content ideation. It addresses the challenge of consistent video production by automating repetitive tasks. What this workflow does: This workflow automates the following steps: AI-Driven Scriptwriting: Uses an LLM (default: DeepSeek V3) to generate a compelling video script based on your system prompt and desired number of scenarios. AI Image Generation: Integrates with Leonardo AI to create visually appealing images for each scenario in the script. You define the image style and resolution. Automated Video Editing: Connects to Creatomate to assemble the script and images into a polished video, ready for upload. You'll use a pre-created "AI generated story template" within Creatomate. Setup: Video Script Generation: Provide a detailed system prompt describing your video's topic, target audience, and key message. Specify the number of scenarios. Select your preferred LLM (DeepSeek V3 is the default). Image Generation: Connect your Leonardo AI account. Choose your preferred image generation model and set the video resolution. Craft a detailed prompt for Leonardo AI, defining the image style (e.g., "cinematic," "cartoon," "realistic"). Video Editing: Link your Creatomate account. Create an empty “AI generated story template” in Creatomate. Copy the cURL from the Creatomate template to the video generation node. Link your ElevenLabs account to Creatomate and choose the desired voice. How to customize this workflow: Script Customization:** Refine the system prompt to guide the AI. Experiment with different LLMs. Image Style:** Adjust the Leonardo AI prompt. Explore different image generation models. Video Editing:** Modify the Creatomate template to customize transitions, text overlays, and other elements. Add voiceover using the ElevenLabs integration in Creatomate. Category: Marketing, Social Media, Content Creation

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

Save engineering resources

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Use case

Automate lead management

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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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