Niche Content Training Engine

Scrape and analyze thousands of high-performing posts from niche creators, extract patterns, and train a Claude Project to generate content in that voice with proven hooks and structure.

OutcomeProduces content that matches proven niche patterns, reducing production time and increasing engagement rates without generic AI output.

AdvancedTime to value: 3 to 4 weeks3 tools

How it flows

How it flows.

Source
5-10 niche creators
Process
Scrape posts & metrics
Store
3,156 raw posts
Process
Clean & normalize data
Output
Merged clean CSV
Output
All graphics downloaded
Output
Posts ranked by performance
Agent
Pattern analysis
Agent
Trained content engine
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    Build it, step by step

    Build it, step by step.

    1. 01

      Identify target creators

      Pick 5 to 10 creators who post consistently to your ICP, get strong engagement relative to followers, and occupy the same niche.

      • Manual selection or use Scripe for automated discovery
      • Filter for consistent posting cadence
      • Check engagement rate vs follower count
      • Verify clear niche positioning
    2. 02

      Scrape all content and metrics

      Use Apify to pull every post, caption, timestamp, and engagement metric from each creator into a raw dataset.

      • Scrape all historical posts from selected creators
      • Capture captions, likes, comments, reposts
      • Download post timestamps and media URLs
      • Export raw data as CSV or JSON
    3. 03

      Clean and normalize the dataset

      Upload raw data to Cursor. Let it remove duplicates, standardize columns, and structure fields for analysis.

      • Upload raw scrape output into Cursor
      • Remove duplicates and null entries
      • Standardize column names and formats
      • Extract structured fields for engagement, timestamps, topics
      • Export merged clean CSV
    4. 04

      Generate ranked outputs

      Produce a clean CSV, download all graphics, and calculate engagement rate and hook strength for every post.

      • Export merged clean CSV with all posts
      • Download all post graphics to local storage
      • Calculate engagement rate for each post
      • Rank hooks by performance
      • Tag posts by format and topic
    5. 05

      Run pattern analysis with Claude

      Upload the dataset into a Claude Project. Ask it to identify winning formats, best posting times, high-performing hooks, and reusable sentence structures.

      • Create new Claude Project and upload clean CSV
      • Identify which formats and topics drive engagement
      • Extract best posting times by day and hour
      • Rank hooks by engagement and format
      • Extract 700+ reusable high-performing sentences
      • Export structured JSON with hooks, transitions, CTAs
    6. 06

      Build the trained content engine

      Create a dedicated Claude Project loaded with thousands of niche posts, ranked hooks, and voice patterns. Prompt it to generate new content that mirrors the dataset.

      • Spin up new Claude Project for production
      • Load full dataset of 1000+ real niche posts
      • Add ranked hooks and sentence library
      • Map voice patterns and format templates
      • Test output against held-back validation posts
      • Deploy as reusable content generation engine

    The stack

    The stack.

    Talk to us: Want this workflow run for you?

    We wire it into your stack, then run it.

    Talk to Phi