Aschen/web-classification

A ML classification experiment using LLM (and others)

14
/ 100
Experimental

This project helps e-commerce professionals or marketers automatically sort web pages from online stores into predefined categories. You input a list of e-commerce website URLs, and the system scrapes and processes their content to output a classification for each page, such as 'Electronics' or 'Apparel'. This is ideal for anyone managing large catalogs of products or conducting competitive analysis across many online retailers.

No commits in the last 6 months.

Use this if you need an efficient and cost-effective way to automatically categorize a large number of e-commerce web pages, especially for competitive analysis or product catalog management.

Not ideal if you require extremely high accuracy (near 100%) for very diverse or specialized web content classification, or if you prefer a system that performs well on very small, distinct datasets for each website.

e-commerce web-scraping product-categorization competitor-analysis digital-marketing
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 0 / 25

How are scores calculated?

Stars

17

Forks

Language

TypeScript

License

Last pushed

Sep 03, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/Aschen/web-classification"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.