Most “what watch should I buy?” discussions online skew heavily male. A friend wanted to launch a women’s watch, so I helped with a small data analysis.

In this post I’ll walk through a small but complete Python pipeline I built:

Scrape relevant posts and comments from Reddit with no API keys

Filter out irrelevant posts (e.g. men asking for themselves)

Run NLP analysis: sentiment, brands, features, prices, keywords, clustering, topic modeling

Generate visualizations and CSVs you can explore further

Everything here is powered by standard Python libraries: requests, pandas, nltk, scikit‑learn, and wordcloud.

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