Youtube Analytics

by openclaw

apitooldata

YouTube Data API v3 analytics toolkit. Analyze YouTube channels, videos, and search results. Use when the user asks to: check YouTube channel stats, analyze video performance, compare channels, search for videos, get subscriber counts, view engagement metrics, find trending videos, get channel uploads, or analyze YouTube competition. Requires a YouTube Data API v3 key from Google Cloud Console.

Skill Details

Repository Files

14 files in this skill directory


name: youtube-analytics description: "YouTube Data API v3 analytics toolkit. Analyze YouTube channels, videos, and search results. Use when the user asks to: check YouTube channel stats, analyze video performance, compare channels, search for videos, get subscriber counts, view engagement metrics, find trending videos, get channel uploads, or analyze YouTube competition. Requires a YouTube Data API v3 key from Google Cloud Console."

YouTube Analytics Toolkit

Setup

Install dependencies:

cd scripts && npm install

Configure credentials by creating a .env file in the project root:

YOUTUBE_API_KEY=AIzaSy...your-api-key
YOUTUBE_DEFAULT_MAX_RESULTS=50

Prerequisites: A Google Cloud project with the YouTube Data API v3 enabled. Get your API key from the Google Cloud Console.

Quick Start

User says Function to call
"Analyze this YouTube channel" analyzeChannel(channelId)
"Compare these two channels" compareChannels([id1, id2])
"How is this video performing?" analyzeVideo(videoId)
"Search YouTube for [topic]" searchAndAnalyze(query)
"Get stats for this channel" getChannelStats(channelId)
"Get this video's view count" getVideoStats(videoId)
"Find channels about [topic]" searchChannels(query)
"Show recent uploads from this channel" getChannelVideos(channelId)

Execute functions by importing from scripts/src/index.ts:

import { analyzeChannel, searchAndAnalyze } from './scripts/src/index.js';

const analysis = await analyzeChannel('UCxxxxxxxx');

Or run directly with tsx:

npx tsx scripts/src/index.ts

Workflow Pattern

Every analysis follows three phases:

1. Analyze

Run API functions. Each call hits the YouTube Data API and returns structured data.

2. Auto-Save

All results automatically save as JSON files to results/{category}/. File naming patterns:

  • Named results: {sanitized_name}.json
  • Auto-generated: YYYYMMDD_HHMMSS__{operation}.json

3. Summarize

After analysis, read the saved JSON files and create a markdown summary in results/summaries/ with data tables, comparisons, and insights.

High-Level Functions

Function Purpose What it gathers
analyzeChannel(channelId) Full channel analysis Channel info, recent videos, avg views per video
compareChannels(channelIds) Compare multiple channels Side-by-side subscribers, views, video counts
analyzeVideo(videoId) Video performance analysis Views, likes, comments, like rate, comment rate
searchAndAnalyze(query, maxResults?) Search + stats Search results with full video statistics

Individual API Functions

For granular control, import specific functions from the API modules. See references/api-reference.md for the complete list of 13 API functions with parameters, types, and examples.

Channel Functions

Function Purpose
getChannel(channelId) Get full channel details
getChannelStats(channelId) Get simplified stats (subscribers, views, videoCount)
getMultipleChannels(channelIds) Batch fetch multiple channels

Video Functions

Function Purpose
getVideo(videoId) Get full video details
getVideoStats(videoId) Get simplified stats (views, likes, comments)
getMultipleVideos(videoIds) Batch fetch multiple videos
getChannelVideos(channelId) Get recent uploads from a channel

Search Functions

Function Purpose
searchVideos(query, options?) Search for videos
searchChannels(query, options?) Search for channels

Results Storage

Results auto-save to results/ with this structure:

results/
├── channels/       # Channel data and comparisons
├── videos/         # Video data and analyses
├── search/         # Search results
└── summaries/      # Human-readable markdown summaries

Managing Results

import { listResults, loadResult, getLatestResult } from './scripts/src/index.js';

// List recent results
const files = listResults('channels', 10);

// Load a specific result
const data = loadResult(files[0]);

// Get most recent result for an operation
const latest = getLatestResult('channels', 'channel_analysis');

Tips

  1. Use channel IDs — Channel IDs start with UC (e.g., UCxxxxxxxx). You can find them in the channel URL or page source.
  2. Request summaries — After pulling data, ask for a markdown summary with tables and insights.
  3. Compare channels — Use compareChannels() to benchmark competitors side by side.
  4. Batch requests — Use getMultipleChannels() or getMultipleVideos() for efficient batch lookups.
  5. Search + analyzesearchAndAnalyze() combines search with full video stats in one call.

Related Skills

Xlsx

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

data

Clickhouse Io

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

datacli

Clickhouse Io

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

datacli

Analyzing Financial Statements

This skill calculates key financial ratios and metrics from financial statement data for investment analysis

data

Data Storytelling

Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.

data

Kpi Dashboard Design

Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.

designdata

Dbt Transformation Patterns

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.

testingdocumenttool

Sql Optimization Patterns

Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.

designdata

Anndata

This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.

arttooldata

Xlsx

Spreadsheet toolkit (.xlsx/.csv). Create/edit with formulas/formatting, analyze data, visualization, recalculate formulas, for spreadsheet processing and analysis.

tooldata

Skill Information

Category:Technical
Last Updated:1/26/2026