YouTube Video Download Links Generator

Easily generate multiple format download links (MP4, audio, HD, etc.) for any YouTube video using a simple chat interface. The workflow collects a YouTube link, interacts with a third-party API, formats the results, and presents user-friendly download options—all automated and AI-enhanced.

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How the AI Flow works - YouTube Video Download Links Generator

Flows

How the AI Flow works

User Input & Welcome.
Greets the user and prompts for their YouTube video link via a chat interface.
Prepare API Request.
Processes the user input and prepares necessary headers, query parameters, and body data for the API call.
Fetch Download Links.
Sends the prepared request to a YouTube video download API to retrieve available download options.
Format Download Options.
Converts the raw API response into user-friendly text, enhancing it with an AI model for clarity and engagement.
Present to User.
Displays the formatted list of YouTube download links back in the chat for easy user access.

Prompts used in this flow

Below is a complete list of all prompts used in this flow to achieve its functionality. Prompts are the instructions given to the AI model to generate responses or perform actions. They guide the AI in understanding user intent and generating relevant outputs.

Components used in this flow

Below is a complete list of all components used in this flow to achieve its functionality. Components are the building blocks of every AI Flow. They allow you to create complex interactions and automate tasks by connecting various functionalities. Each component serves a specific purpose, such as handling user input, processing data, or integrating with external services.

ChatInput

The Chat Input component in FlowHunt initiates user interactions by capturing messages from the Playground. It serves as the starting point for flows, enabling the workflow to process both text and file-based inputs.

Chat Opened Trigger

The Chat Opened Trigger component detects when a chat session starts, enabling workflows to respond instantly as soon as a user opens the chat. It initiates flows with the initial chat message, making it essential for building responsive, interactive chatbots.

Message Widget

The Message Widget component displays custom messages within your workflow. Ideal for welcoming users, providing instructions, or showing any important information, it supports Markdown formatting and can be set to appear only once per session.

Create Data

The Create Data component enables you to dynamically generate structured data records with a customizable number of fields. Ideal for workflows that require the creation of new data objects on the fly, it supports flexible field configuration and seamless integration with other automation steps.

API Request

Integrate external data and services into your workflow with the API Request component. Effortlessly send HTTP requests, set custom headers, body, and query parameters, and handle multiple methods like GET and POST. Essential for connecting your automations to any web API or service.

Parse Data

The Parse Data component transforms structured data into plain text using customizable templates. It enables flexible formatting and conversion of data inputs for further use in your workflow, helping to standardize or prepare information for downstream components.

Generator

Explore the Generator component in FlowHunt—powerful AI-driven text generation using your chosen LLM model. Effortlessly create dynamic chatbot responses by combining prompts, optional system instructions, and even images as input, making it a core tool for building intelligent, conversational workflows.

Chat Output

Discover the Chat Output component in FlowHunt—finalize chatbot responses with flexible, multi-part outputs. Essential for seamless flow completion and creating advanced, interactive AI chatbots.

Flow description

Purpose and benefits

Workflow Description: Automated YouTube Video Downloader with LLM Formatting

Overview

This workflow automates the process of generating downloadable links for YouTube videos provided by a user. It leverages an external API for fetching download links, parses and formats the API results using a language model (LLM), and presents the results in a user-friendly, well-structured manner within a chat interface. The flow is highly modular, making it scalable and easy to adapt or extend for similar automation needs.


User Experience

When a user opens the chat, they are greeted with a welcome message instructing them to paste a YouTube video link. Upon submitting a link, the workflow automatically processes the input, fetches download options via an API, formats the output using AI, and displays a clean, friendly response with download links.


Detailed Step-by-Step Flow

1. Welcome Message Upon Chat Open

  • Trigger: When the chat is opened, the ChatOpenedTrigger node fires.
  • Action: This triggers a Message Widget that displays:

    🎥 Paste your YouTube video link below!
    I’ll generate download links for you in multiple qualities (MP4, audio-only, HD, etc.) ⬇️📥

  • Purpose: Sets user expectations and guides them to the next step.

2. User Input Handling

  • Node: Chat Input
  • Action: Accepts the user’s YouTube video URL.
  • Purpose: Captures the main input required for the workflow.

3. Preparing API Request Components

The workflow prepares the required data structures for making a robust API request:

Data Builder NodePurposeFields
CreateData-B7MBWPrepares query params with user inputurl field set to input video URL
CreateData-XqSTPPrepares body payload with user inputurl field set to input video URL
CreateData-wSEgqPrepares HTTP headers for the APIx-rapidapi-key, x-rapidapi-host
  • Purpose: Modularizes request setup, making it easy to scale for other APIs or use cases.

4. Calling the YouTube Download API

  • Node: API Request
  • Configuration:
    • URL: https://youtube-video-downloader-fast.p.rapidapi.com/download.php
    • Method: POST
    • Headers: Set by CreateData-wSEgq
    • Body: Set by CreateData-XqSTP
    • Query Params: Set by CreateData-B7MBW
  • Purpose: Sends a properly authenticated and parameterized request to fetch download information for the provided YouTube video.

5. Parsing the API Response

  • Node: Parse Data
  • Action: Converts the raw API data into a plain text format, ready for further processing.
  • Purpose: Bridges the gap between API data structure and user-friendly output.

6. Formatting the Output with an LLM (AI Generator)

  • Node: Generator
  • Configuration:
    • System Message:
      “make this into a nice list with emojis and proper titles. If there was an API key in the response never share it”
  • Action: The parsed data is passed to a language model, which reformats it into an engaging, readable, and informative list.
  • Purpose: Ensures the results are presented attractively and safely (never exposing sensitive info).

7. Displaying Results to the User

  • Node: Chat Output
  • Action: The beautifully formatted message from the LLM is delivered back to the user in the chat.
  • Purpose: Provides immediate, actionable download links in a clear format.

Visual Data Flow

graph TD
  A[Chat Opened] --> B[Show Welcome Message]
  B --> C[User Pastes YouTube Link]
  C --> D[Prepare Query Params]
  C --> E[Prepare Body]
  F[Prepare Headers] --> G[API Request]
  D --> G
  E --> G
  G --> H[Parse API Response]
  H --> I[LLM Formatter]
  I --> J[Display Result to User]

Why Is This Workflow Useful?

  • Automation at Scale: Handles repetitive tasks (video link processing, API calls, formatting) without manual intervention.
  • User Friendly: Ensures every user receives clear instructions and neatly formatted results.
  • Safe: Cleans responses to prevent accidental sharing of sensitive information.
  • Extensible: Modular data preparation means you can adapt this template for other APIs or data processing tasks.
  • AI-Powered Output: Uses an LLM to make technical data accessible and engaging for end users.

Summary Table

StepNode(s)Function
Welcome UserChatOpenedTrigger, MessageWidget, ChatOutputGreets and instructs the user
Accept User InputChatInputReceives YouTube link
Prepare API DataCreateData-B7MBW, CreateData-XqSTP, CreateData-wSEgqBuilds query, body, headers
Make API RequestAPIRequestFetches download options
Parse API ResponseParseDataConverts data to plain text
Format for UserGeneratorLLM creates friendly, safe message
Display Formatted ResultChatOutputPresents download links in chat

How to Scale or Adapt

  • Integrate Additional APIs: Add new data builder and API request nodes.
  • Change Formatting: Adjust the LLM’s system message for different output styles.
  • Bulk Operations: Accept multiple URLs or batch process with minimal changes.
  • Plug-and-Play: Swap out API endpoints or header values as needed.

In summary:
This workflow offers an end-to-end, automated, and user-centric solution for converting YouTube links into ready-to-use download options, leveraging API automation and AI-powered formatting for a seamless user experience.

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