/bolt.new-ai-integrations

Bolt.new AI and Vimeo integration: Step-by-Step Guide 2025

Learn how to integrate Bolt.new AI with Vimeo and boost your video workflow. Follow our step-by-step guide, discover best practices, and overcome common pitfalls.

Matt Graham, CEO of Rapid Developers

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How to integrate Bolt.new AI with Vimeo?

 

Integrating Vimeo with Your Bolt.new AI Project

 
  • Creating the Vimeo Client File


    Create a new file in your project (for example, name it vimeoClient.ts). In this file, we’ll write a TypeScript class to interact with Vimeo’s API. Paste the following code into vimeoClient.ts:
    
    export class VimeoClient {
      private accessToken: string;
      private baseUrl: string = 'https://api.vimeo.com';
    
    

    constructor(accessToken: string) {
    this.accessToken = accessToken;
    }

    async getVideoInfo(videoId: string): Promise<any> {
    const url = ${this.baseUrl}/videos/${videoId};
    const response = await fetch(url, {
    headers: {
    'Authorization': Bearer ${this.accessToken},
    'Content-Type': 'application/json'
    }
    });
    if (!response.ok) {
    throw new Error(Failed to fetch video info: ${response.statusText});
    }
    return await response.json();
    }
    }


  • Adding Dependencies via package.json


    Since Bolt.new AI does not have a terminal, you need to simulate dependency installation by creating a package.json file in your project’s root. This file tells the project about required packages. Create or update package.json with the following content:
    
    {
      "dependencies": {
        "node-fetch": "^2.6.1"
      }
    }
        
    Note: In some runtimes, the global fetch API is available. If you encounter issues, the above dependency ensures that fetch is available. In your vimeoClient.ts file, add the following import line at the very top if needed:
    
    import fetch from 'node-fetch';
        
  • Using the Vimeo Client in Your Main Application


    In your main project file (for example, app.ts or another file where you handle API calls), import and use the VimeoClient. Insert the following code snippet where appropriate:
    
    import { VimeoClient } from './vimeoClient';
    
    

    // Replace 'YOURVIMEOACCESS_TOKEN' with your actual Vimeo access token.
    const accessToken = 'YOURVIMEOACCESS_TOKEN';
    const client = new VimeoClient(accessToken);

    // Replace 'VIDEO_ID' with the Vimeo video ID you wish to fetch info for.
    (async () => {
    try {
    const videoData = await client.getVideoInfo('VIDEO_ID');
    console.log('Video Data:', videoData);
    } catch (error) {
    console.error('Error fetching video info:', error);
    }
    })();


  • Setting Up Environment Variables


    It is a best practice to store sensitive data like API access tokens in environment variables. In your Bolt.new project, navigate to the settings for environment variables and add one named VIMEOACCESSTOKEN with your actual token. Then, update your main application code like this:
    
    import { VimeoClient } from './vimeoClient';
    
    

    // Access the environment variable for the Vimeo access token.
    const accessToken = process.env.VIMEOACCESSTOKEN || 'YOURVIMEOACCESS_TOKEN';
    const client = new VimeoClient(accessToken);

    (async () => {
    try {
    const videoData = await client.getVideoInfo('VIDEO_ID');
    console.log('Video Data:', videoData);
    } catch (error) {
    console.error('Error fetching video info:', error);
    }
    })();


 

Finalizing Your Integration

 
  • Save all the files you have created or updated.
  • Run your Bolt.new AI project. The code will use the VimeoClient to fetch video information from Vimeo using the provided access token.
  • Check your project’s console output to verify that video data is successfully logged or to troubleshoot any errors.

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