WebShift FAQs

Question 1

Does WebShift support web scraping of dynamic, JavaScript-heavy websites?

Accepted Answer

No, WebShift parses static HTML and does not execute JavaScript. It is not intended for scraping single-page applications (SPAs) that require a headless browser for rendering.

Question 2

Can I use WebShift as a standalone application or as a library?

Accepted Answer

Yes, WebShift can be used in three ways: as a pure Rust HTML-to-text denoiser library, as a web content client with search and reranking features, or as a standalone MCP (Model Context Protocol) server binary for AI agents.

Question 3

What is WebShift and what problem does it solve?

Accepted Answer

WebShift is a Rust library and MCP server designed to transform noisy web pages (full of ads, scripts, navigation) into clean, context-ready text specifically optimized for Large Language Models (LLMs). It solves the problem of context window flooding, ensuring LLMs receive only relevant, high-quality information.

Question 4

How does WebShift ensure text is 'LLM-ready'?

Accepted Answer

It strips out noise elements, sterilizes Unicode/BiDi characters, collapses whitespace, and enforces strict size budgets (per-page caps, total budget caps). It also applies deterministic BM25 and optional LLM-assisted reranking to prioritize relevant content.

Question 5

Which search backends can WebShift integrate with?

Accepted Answer

WebShift integrates with 8 popular search backends including SearXNG, Brave, Tavily, Exa, SerpAPI, Google, Bing, and offers a configurable generic HTTP backend for custom solutions.

WebShift

WebShift

Características Principales

Casos de Uso

Características Principales

Casos de Uso