The Anything Scraper

A true shovel for data
Grocery app application of the Anything Scraper

Inspiration

The web scraping market ($24B in 2024) lacks truly generalized solutions. Current tools require custom demos for each website and break with layout changes. Recent AI advances make it possible to create a universal, maintenance-free scraper that works on any site without training.

What it does

Anything Scraper extracts structured data from any website without prior training:

Currently specializes in e-commerce content (products, prices, descriptions)
Built two demos:
- Shopify extraction tool via our API
- Grocery Store mobile app that optimizes shopping trips by comparing prices

How we built it

We orchestrated LLMs to understand web content contextually:

Preprocessing techniques to reduce context size and optimize LLM calls
Systems for auto-generating Selenium scripts for scalable extraction
Architecture that adapts to any site's unique layout automatically

Challenges we ran into

Orchestrating LLMs for consistent, reliable extraction
Preprocessing content to fit context windows while preserving key information
Bypassing verification steps through human-like browsing patterns (LLMs make this much easier)
Performance optimization (scraping remains slow, but parallelization is possible)

Accomplishments that we're proud of

Working e-commerce scraper requiring zero training demonstrations
Grocery price comparison app with immediate consumer benefits
Solution that adapts to different website designs without breaking
Working toward solving the fundamental fragility problem of traditional scrapers

What we learned

AI can understand web content with human-like comprehension, enabling extraction that template-based systems can't achieve. LLM orchestration and context optimization are crucial for balancing processing speed and accuracy.