Content and Marketing
Build a Competitor Intelligence System
A 5-layer pipeline that scrapes competitor Instagram Reels, transcribes hooks, classifies patterns, and surfaces what is working. Runs automatically.
A five-layer automated pipeline that scrapes competitor Instagram Reels weekly, transcribes every hook, classifies content patterns, and surfaces what is working in your niche, without you watching a single video. The pipeline runs every Monday morning and delivers a report. You spend five minutes reading it instead of five hours doing manual research.
How to do it
- 1Layer 1, scraping: configure Apify or a similar Instagram scraper to pull the last 20 posts from 5 to 10 competitor accounts on a weekly schedule
- 2Layer 2, transcription: send each video URL through Whisper (free, runs locally) or AssemblyAI to extract the spoken hook from the first 3 to 7 seconds
- 3Layer 3, classification: prompt Claude to categorise each hook by type (curiosity gap, social proof, pain point, direct offer, story, identity)
- 4Layer 4, pattern analysis: Claude surfaces the top 3 hook types performing best in your niche this week based on estimated view and engagement data
- 5Layer 5, report: Claude generates a weekly summary listing the top-performing content structures with examples and recommendations for your next week of content
- 6Wire all five layers together in n8n or Make.com. Total pipeline runtime is about 20 minutes per weekly run, fully automated
Why it works
You cannot compete with content you cannot see clearly. This system makes competitor content legible. You see the structure, not just the surface, and you can use that structural knowledge to make your own content decisions faster and with better data.
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