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YouTube Transcript Extractor API

Free

Easily extract transcripts and metadata from YouTube videos.

by browser-act5.3k stars on browser-act/skills
1 views
Updated Aug 5, 2026
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Free · Opens the source repo

What YouTube Transcript Extractor API does

The YouTube Transcript Extractor API skill allows users to automate the extraction of transcripts and metadata from YouTube videos using the BrowserAct API. By simply providing a video URL, users can obtain structured transcripts and relevant data such as video titles, publisher information, and like counts. This skill is particularly useful for content creators, researchers, and developers who need to analyze video content without manually watching each video.

The skill operates by executing a Python script that communicates with the BrowserAct API. It ensures a smooth extraction process, avoiding common issues such as CAPTCHA challenges and IP restrictions. Users can expect a faster and more reliable data acquisition compared to traditional AI-driven methods. The output includes essential information such as the video title, publisher name, channel link, and the complete transcript, making it easy to integrate into various workflows.

This tool is designed for anyone who needs to gather information from YouTube videos efficiently. Whether you are a researcher compiling data for a study, a developer building applications that require video content analysis, or a content manager looking to summarize videos, this skill streamlines the process. It eliminates the need for manual extraction and provides a clean, ready-to-use format for further analysis or integration into other systems.

With its focus on accuracy and speed, the YouTube Transcript Extractor API skill is a valuable addition for those working with video content. It simplifies the task of obtaining transcripts and metadata, allowing users to focus on analysis and application rather than data collection.

When to use it

Use this skill when you need to extract transcripts and metadata from YouTube videos for analysis or content creation.

When not to use it

This skill may not be suitable for extracting content from non-YouTube sources or for users needing real-time video playback.

What you can build with it

Research Projects

Use this skill to gather transcripts from multiple YouTube videos for analysis in academic or market research.

Content Summarization

Quickly extract and summarize video content for blogs or reports without watching each video.

Data Collection for Applications

Integrate this skill into your applications to automatically fetch video transcripts and metadata for user-generated content analysis.

How to install YouTube Transcript Extractor API

View source

1. Install with the skills CLI

npx skills add browser-act/skills/youtube-transcript-extractor-api-skill --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by browser-act

YouTube Transcript Extractor API Skill

📖 Introduction

This skill provides a one-stop video transcript extraction service using BrowserAct's YouTube Transcript Extractor API template. It can directly extract full video transcripts and metadata from any YouTube video. By simply providing the TargetURL, you can get clean, ready-to-use transcript and metadata.

✨ Features

  1. No hallucinations, ensuring stable and accurate data extraction: Pre-set workflows avoid generative AI hallucinations.
  2. No CAPTCHA issues: No need to handle reCAPTCHA or other verification challenges.
  3. No IP access restrictions or geofencing: No need to deal with regional IP limits.
  4. Faster execution: Compared to pure AI-driven browser automation solutions, task execution is much faster.
  5. High cost-effectiveness: Significantly reduces data acquisition costs compared to AI solutions that consume large amounts of tokens.

🔑 API Key Setup

Before running, you must check the BROWSERACT_API_KEY environment variable. If it is not set, do not take any other actions; you must request and wait for the user to provide it. The Agent must inform the user at this point:

"Since you haven't configured the BrowserAct API Key yet, please go to the BrowserAct Console to get your Key first."

🛠️ Input Parameters

The Agent should configure the following parameter based on the user's needs when calling the script:

  1. TargetURL (Target URL)
    • Type: string
    • Description: The URL of the YouTube video you want to extract the transcript and metadata from.
    • Example: https://www.youtube.com/watch?v=st534T7-mdE

🚀 Usage (Recommended)

The Agent should execute the following independent script to achieve "one command, get results":

# Example Call
python -u ./scripts/youtube_transcript_extractor_api.py "TargetURL"

⏳ Running Status Monitoring

Since this task involves automated browser operations, it may take a long time (several minutes). While running, the script will continuously output status logs with timestamps (e.g., [14:30:05] Task Status: running). Agent Instructions:

  • While waiting for the script to return results, please keep an eye on the terminal output.
  • As long as the terminal continues to output new status logs, it means the task is running normally. Do not misjudge it as a deadlock or unresponsiveness.
  • Only if the status remains unchanged for a long time or the script stops outputting without returning a result, should you consider triggering the retry mechanism.

📊 Data Output Description

After successful execution, the script will parse and print the results directly from the API response. The results include:

  • video_title: The title of the YouTube video
  • video_url: The direct link to the original video
  • publisher: The name of the channel publishing the video
  • channel_link: The URL of the publisher's YouTube channel
  • video_likes_count: The number of likes the video has received
  • transcript: The complete extracted transcript/subtitles of the video

⚠️ Error Handling & Retry

During script execution, if an error occurs (such as network fluctuation or task failure), the Agent should follow this logic:

  1. Check output content:

    • If the output contains "Invalid authorization", it means the API Key is invalid or expired. In this case, do not retry, and guide the user to check and provide the correct API Key.
    • If the output does not contain "Invalid authorization" but the task execution fails (for example, the output starts with Error: or returns an empty result), the Agent should automatically try to execute the script one more time.
  2. Retry limits:

    • Automatic retry is limited to only once. If the second attempt still fails, stop retrying and report the specific error message to the user.

Frequently asked questions about YouTube Transcript Extractor API

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