YouTube Intelligent Scraper.

A system that scrapes YouTube channels, scores relevance with AI, and suggests a watch order.

Role

Sole engineer.

Timeline

2025

Stack

Node.js · YouTube API · @anthropic-ai/sdk (AI analysis) · Web UI

Status

Delivered

The YouTube Intelligent Scraper — the dashboard shell, showing Channels, AI Analysis, Recommendations, AI Pulse, Knowledge Graph and Export

[ The transformation ]

Before

Working through a large channel’s back catalogue is guesswork — you can’t tell which videos are worth your time first.

After

A channel’s back catalogue becomes a ranked, relevance-scored watch list instead of a wall of thumbnails.

[ The hard problem ]

Scoring hundreds of videos for personal relevance using AI — pulling metadata and transcripts, running each through a relevance classifier, and presenting a ranked watch order in real time.

[ How it works ]

I built a Node.js pipeline that pulls every video + metadata from channels, downloads transcripts, AI-scores each video against your interests, prioritises a watch order, and serves it in a filterable dashboard.

[ Key features ]

Full channel scraping — every video, metadata and transcript

AI relevance scoring against user interests

Prioritised watch order based on scores

Filterable dashboard for browsing results

[ The result ]

Outcome

A channel's back catalogue becomes a ranked, relevance-scored watch list instead of a wall of thumbnails.

Delivered 2025

Tech stack

Node.jsYouTube API@anthropic-ai/sdk (AI analysis)Web UI

More work

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Goal Organiser.

TabNest AI.