Downloading LinkedIn Videos Using Java

Welcome back to our journey in video scraping! In previous lessons, you've learned how to download videos from public Google Drive links using Java. In this lesson, we'll take things further by downloading videos from LinkedIn using Java and yt-dlp. This will help you understand how to work with different video sources and handle video downloads programmatically.

In this lesson, you will:

• Identify and validate a range of LinkedIn URLs.
• Learn how to download videos from LinkedIn using Java and yt-dlp.
• Execute external processes from Java using a service-oriented approach.
• Manage temporary files and address potential legal concerns when downloading videos.

Our objective is to recognize valid LinkedIn URLs and understand how to download videos from them using Java. LinkedIn URLs can appear in several formats, such as:

• Full length: https://www.linkedin.com/feed/update/urn:li:activity:VIDEO_ID
• Post based: https://www.linkedin.com/posts/USERNAME_activity-VIDEO_ID

Important Note: The LinkedIn URLs we just observed are not direct video file URLs themselves. They point to LinkedIn posts or activities where the video is embedded, but not to the raw video file that you can download directly. This is why we'll use yt-dlp, a powerful command-line tool that can extract and download videos from LinkedIn posts automatically.

Understanding these structures is crucial for initiating the download process.

We'll start by verifying whether a URL belongs to LinkedIn. In Java, you can use the java.net.URL class to parse and analyze URLs.

public static boolean isLinkedInUrl(String url) {
    try {
        URL parsedUrl = new URL(url);
        String host = parsedUrl.getHost();
        String path = parsedUrl.getPath();
        
        return host.contains("linkedin.com") && 
               (path.contains("/feed/update/urn:li:activity:") || path.contains("/posts/"));
    } catch (Exception e) {
        return false;
    }
}

This function checks for linkedin.com in the URL's host and confirms whether a recognizable path is present, ensuring accurate URL validation.

yt-dlp is a powerful command-line tool that can extract and download videos from hundreds of websites, including LinkedIn. While our code is written in Java, yt-dlp is a Python-based command-line tool that we'll call from Java as an external process. Let's create a Spring service to handle LinkedIn video downloads.

Prerequisites: You need to have yt-dlp installed on your system. You can install it via pip: pip install yt-dlp

First, let's set up the service class structure:

package com.codesignal.transcriber.service;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import java.io.File;
import java.net.URL;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;

@Service
public class LinkedInService {
    
    @Autowired
    private MediaProcessorService mediaProcessor;

How it works:

• @Service marks this as a Spring-managed component that can be injected into other classes
• @Autowired MediaProcessorService provides dependency injection for handling command execution. The MediaProcessorService is a custom service we use to execute external command-line tools like yt-dlp from Java. It handles process creation, output capture, and error management.
• The imports include necessary classes for file operations and URL parsing

Note: The MediaProcessorService contains a method runCommandWithOutput(String[] command, String description) that executes the given command array as an external process, captures its output, and handles any errors that might occur during execution. This abstraction makes it easier to run command-line tools from Java while maintaining proper error handling and logging.

Next, let's implement the initial setup for video downloads:

public String downloadVideo(String url) throws Exception {
    System.out.println("Downloading LinkedIn video...");
    
    // Create temp_resources directory if it doesn't exist
    Path tempResourcesDir = Paths.get("temp_resources");
    Files.createDirectories(tempResourcesDir);
    
    String outputTemplate = tempResourcesDir.resolve("%(title)s.%(ext)s").toString();

How it works:

• tempResourcesDir creates a dedicated directory for temporary video files
• Files.createDirectories() ensures the directory exists, creating it if necessary
• outputTemplate uses yt-dlp's template syntax to name files based on video title and preserve the original file extension

Now let's configure the yt-dlp command and execute it:

    try {
        String[] cmd = {
            "yt-dlp",
            "--format", "mp4",
            "--output", outputTemplate,
            "--quiet",
            "--no-warnings", 
            "--progress",
            url
        };
        
        mediaProcessor.runCommandWithOutput(cmd, "Downloading LinkedIn video...");

How it works:

• Command array configures yt-dlp with specific options:
  • --format mp4 requests MP4 format specifically
  • --output specifies where and how to name the downloaded file
  • --quiet and --no-warnings reduce console noise
  • --progress shows download progress
• mediaProcessor.runCommandWithOutput() handles the actual process execution with proper error handling

Finally, let's locate the downloaded file and handle any errors:

        // Find the downloaded file
        File[] files = tempResourcesDir.toFile().listFiles((dir, name) -> name.endsWith(".mp4"));
        if (files == null || files.length == 0) {
            throw new Exception("No file downloaded");
        }
        
        // Return the path of the most recently created file
        File newestFile = files[0];
        for (File file : files) {
            if (file.lastModified() > newestFile.lastModified()) {
                newestFile = file;
            }
        }
        
        return newestFile.getAbsolutePath();
        
    } catch (Exception e) {
        System.err.println("Error downloading video: " + e.getMessage());
        throw new Exception("Failed to download LinkedIn video: " + e.getMessage());
    }
}

How it works:

• File filtering searches for .mp4 files in the temp directory using a lambda expression
• Newest file selection handles cases where multiple downloads might exist by finding the most recently modified file
• Return type is String (file path) rather than File object, making it easier to work with in web applications
• Error handling provides clear error messages and wraps exceptions appropriately for the service layer

This approach is much more robust and maintainable than trying to parse LinkedIn's HTML manually, as yt-dlp handles authentication, different video formats, quality selection, and LinkedIn's complex page structure automatically.

Mastering LinkedIn video downloads with Java and yt-dlp enables the collection of educational videos, supports offline access, and aids in backing up personal content. The Spring service approach provides a clean, maintainable architecture that integrates well with larger applications. Always be aware of potential legal issues, ensuring compliance with terms of service and copyright laws.

Now that you understand the downloader's potential, take the upcoming practice section as an opportunity to solidify your knowledge with hands-on tasks.