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youtube-api-skill

Extract structured YouTube video metrics and channel data via BrowserAct API.

5.3k|252|Updated Feb 6, 2026
Search Tags:#api#analysis#metrics#video#youtube#competition#channel
One-click install
npx skills add https://github.com/browser-act/skills --skill youtube-api-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: youtube-api-skill
Source: https://github.com/browser-act/skills/tree/main/solutions/video-platforms/youtube-api-skill
Command: npx skills add https://github.com/browser-act/skills --skill youtube-api-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) components.

What problem does it solve?

Manually collecting video metrics and channel data from YouTube is time-consuming and error-prone. This skill automates structured extraction via the BrowserAct API, enabling rapid data retrieval for insights and reporting.

Core Features & Use Cases

  • Automated metrics extraction: Retrieve video statistics (views, likes, comments, duration) and channel details in a single run.
  • Competitor and trend analysis: Monitor multiple channels and topics to track performance over time.
  • Data enrichment for reporting: Produce ready-to-use data for dashboards, BI tools, or research projects.

Quick Start

Run the YouTube API script with your keywords and optional upload_date to fetch structured video and channel metrics.

Frequently Asked Questions about youtube-api-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract YouTube video metrics for competitor channels automatically?▼

Yes, you can track YouTube video performance over time by running the extraction script with specific keywords and upload_date filters. This collects engagement data across topics and time windows for trend monitoring.

How do I extract YouTube video metrics for competitor channels automatically?▼

You can automate YouTube metrics extraction by running a script that calls the BrowserAct API with target keywords and upload dates. This retrieves structured video statistics like views, likes, comments, duration, and channel details for competitor analysis.

Can I track YouTube video performance over time using keyword searches?▼

Yes, you can track YouTube video performance over time by running the extraction script with specific keywords and upload_date filters. This collects engagement data across topics and time windows for trend monitoring.

Does the YouTube metrics extraction script require any specific Python dependencies?▼

The YouTube metrics extraction script requires the Python requests library to handle HTTP calls. You also need to set the BROWSERACT_API_KEY environment variable to authenticate the deterministic API workflow.

What's the best way to collect structured YouTube video statistics for dashboard reporting?▼

The best way to collect structured YouTube video statistics for dashboard reporting is automating retrieval via the BrowserAct API. It produces ready-to-use data on views, likes, and comments suitable for BI tools.

What specific video and channel data can I retrieve from YouTube using keyword searches?▼

Using keyword searches, you can retrieve video statistics including views, likes, comments, and duration, alongside channel details. This structured data is extracted deterministically via the BrowserAct API.

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