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downlib

A powerful library for downloading videos and files from various platforms.

  • 1.0.3
  • Source
  • npm
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Downlib

Downlib is a Node.js class for downloading content from various popular websites such as YouTube, Instagram, and TikTok. It uses tools like yt-dlp for YouTube downloads and handles downloading media from Instagram and TikTok.

downlib

Installation

To use Downlib, first install it via npm:

npm install downlib

Usage

Example Usage

import Downlib from 'downlib';

// Initialize Downlib with optional configurations
const downlib = new Downlib({
    deleteAfterDownload: true,
});

// Example: Download a video from YouTube
const youtubeUrl = 'https://www.youtube.com/watch?v=yourvideoid';
const saveDir = './downloads';
downlib.downloadFromYouTube(youtubeUrl, saveDir)
  .then((result) => {
    console.log('Downloaded video information:', result);
  })
  .catch((error) => {
    console.error('Error downloading video:', error);
  });

// Example: Download media from Instagram
const instagramUrl = 'https://www.instagram.com/p/yourpostid/';
downlib.downloadFromInstagram(instagramUrl, saveDir)
  .then((result) => {
    console.log('Downloaded Instagram media:', result);
  })
  .catch((error) => {
    console.error('Error downloading Instagram media:', error);
  });

// Example: Download video from TikTok
const tiktokUrl = 'https://www.tiktok.com/@username/video/123456789';
downlib.downloadFromTikTok(tiktokUrl, saveDir)
  .then((result) => {
    console.log('Downloaded TikTok video:', result);
  })
  .catch((error) => {
    console.error('Error downloading TikTok video:', error);
  });

// Example: Determine the type of a URL
const urlToCheck = 'https://www.reddit.com/r/javascript/';
const urlType = downlib.checkUrlType(urlToCheck);
console.log(`URL '${urlToCheck}' is of type '${urlType}'.`);
// Output: URL 'https://www.reddit.com/r/javascript/' is of type 'Reddit'.

// You can also explore more methods provided by Downlib for other functionalities.
class Downlib
Constructor
/**
 * Initialize Downlib with optional configurations.
 * @param {object} options - Optional configurations.
 */
const downlib = new Downlib(options);
Methods
  • ensureDirectoryExists(dirPath): Ensures that a directory exists at the specified path. Creates the directory if it doesn't already exist.
  • deleteFile(filepath): Deletes a file from the filesystem.
  • downloadFromInstagram(url, saveDir): Downloads media (photos or videos) from Instagram using instagramGetUrl and Axios. It handles multiple media files if available.
  • downloadFromYouTube(url, saveDir, options): Downloads videos or playlists from YouTube using yt-dlp. Supports options like audioOnly to download only audio.
  • downloadFromTikTok(url, saveDir): Downloads videos from TikTok using a custom function (tiktokdl).
  • downloadFromTwitter(url, saveDir): Downloads videos from Twitter using yt-dlp.
  • downloadFromFacebook(url, saveDir): Downloads videos from Facebook using yt-dlp.
  • downloadFromTwitch(url, saveDir): Downloads videos from Twitch using yt-dlp.
  • downloadFromDailymotion(url, saveDir): Downloads videos from Dailymotion using yt-dlp.
  • downloadFromSoundCloud(url, saveDir): Downloads audio tracks from SoundCloud using yt-dlp.
  • downloadFromReddit(url, saveDir): Downloads videos from Reddit using yt-dlp.
  • generateUniqueId(length): Generates a unique ID of specified length.
  • checkUrlType(url): Checks the type of a URL and returns the corresponding social media platform or streaming service (YouTube, Instagram, TikTok, Pinterest, Facebook, Twitter, Reddit, SoundCloud, Dailymotion, Twitch). If the URL doesn't match any recognized patterns, it returns 'Unknown'.
Example Code

See examples above for usage of each method.

Configuration Options

You can pass optional configurations when initializing Downlib. These options include:

  • options.ytApp: Path to yt-dlp executable.
  • options.deleteAfterDownload: Whether to delete the downloaded files after completion.

Issues

If you encounter any issues or have suggestions, please open an issue here.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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Package last updated on 25 Jun 2024

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