youtube-video-api-skill（youtube video API 技能）

YouTube Video API Skill

📖 Introduction

This skill provides users with a one-stop YouTube video data extraction service using BrowserAct's YouTube Video API template. It can directly extract structured channel-level data plus video detail data from a specific YouTube channel through a single API request. Just input the YouTube channel URL and video type (Latest, Popular, or Earliest), and you can get clean, ready-to-use video metrics.

✨ 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 and geo-blocking: No need to deal with regional IP restrictions.
4. More agile execution speed: Compared to pure AI-driven browser automation solutions, task execution is faster.
5. Extremely high cost-effectiveness: Significantly reduces data acquisition costs compared to AI solutions that consume a large number of Tokens.

🔑 API Key Guidance Flow

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

"Since you have not configured the BrowserAct API Key yet, please go to the BrowserAct Console first to get your Key."

🛠️ Input Parameters

When calling the script, the Agent should flexibly configure the following parameters based on user needs:

1. YouTube_channel_url

- Type: string - Description: Target YouTube channel URL used to load the channel video list. - Example: https://www.youtube.com/@BrowserAct

1. Video_type

- Type: string - Description: Which ordering mode to use when traversing the channel video list. - Optional Values: - Latest - Popular - Earliest - Default: Popular

🚀 Invocation Method

The Agent should implement "one command gets results" by executing the following independent script:

# Invocation example
python -u ./scripts/youtube_video_api.py "YouTube_channel_url" "Video_type"

⏳ Running Status Monitoring

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

• While waiting for the script to return results, please keep an eye on the terminal output.
• As long as the terminal is still outputting new status logs, it means the task is running normally. Do not misjudge it as a deadlock or unresponsiveness.
• If the status remains unchanged for a long time or the script stops outputting and no result is returned, the retry mechanism can be considered.

📊 Data Output Description

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

Channel fields

• channel_title: Channel name displayed on the channel page
• channel_url: Channel URL
• subscribers: Subscriber count shown on the channel page

Video fields

• video_title: Video title shown on the video page
• video_url: Video URL
• publish_date: Published date or time shown on YouTube
• view_count: View count shown on YouTube
• video_duration: Video duration
• comment_count: Total number of comments (if available)
• like_count: Like count (if available)

⚠️ Error Handling & Retry

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

1. Check the output content:

- If the output contains "Invalid authorization", it means the API Key is invalid or expired. At this time, do not retry, but guide the user to recheck 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 the return result is empty), the Agent should automatically try to execute the script once more.

1. Retry limits:

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

🌟 Typical Use Cases

1. Competitor Tracking: Track performance trends and posting cadence of a competitor's channel.
2. Creator Research: Analyze engagement signals and popular videos of content creators.
3. Content Ops Reporting: Monitor channel videos and performance metrics for reporting.
4. Growth Analytics: Understand what video types (Latest/Popular) drive growth.
5. Database Automation: Send channel videos directly into CRM or databases without manual export.
6. Market Research: Aggregate video metrics across different channels in a specific industry.
7. Trend Spotting: Identify the most popular videos on specific tech or gaming channels.
8. Audience Engagement Analysis: Correlate subscriber counts with video views and likes.
9. Content Strategy: Review a channel's earliest videos to understand their origin and growth path.
10. Automated Social Monitoring: Keep tabs on new content released by key industry leaders.