sitefetch: Efficiently Scrape Websites for AI Model Training and Analysis

Introdução

sitefetch, developed by egoist, is an innovative command-line utility designed to simplify the process of extracting content from entire websites. Its primary function is to fetch web pages and consolidate their readable content into a single, clean text file, making it exceptionally useful for preparing data for AI models and large language models (LLMs). This tool streamlines the often complex task of gathering web-based information, transforming it into an easily consumable format for various analytical and machine learning applications.

Instalação

Getting started with sitefetch is straightforward. You can use it for one-off tasks without a global installation or install it globally for frequent use.

One-off usage (choose one):

bunx sitefetch
npx sitefetch
pnpx sitefetch

Install globally (choose one):

bun i -g sitefetch
npm i -g sitefetch
pnpm i -g sitefetch

Exemplos

sitefetch provides flexible options to control what and how content is fetched, allowing for precise data extraction.

Basic Usage:

To fetch an entire site and save it to a file:

sitefetch https://egoist.dev -o site.txt

Improved Concurrency:

For faster fetching of larger sites, you can specify a concurrency level:

sitefetch https://egoist.dev -o site.txt --concurrency 10

Match Specific Pages:

Use the -m, --match flag to include only specific pages based on their pathnames. This feature is powered by micromatch, offering powerful pattern matching capabilities.

sitefetch https://vite.dev -m "/blog/**" -m "/guide/**"

Content Selector:

While sitefetch uses mozilla/readability for content extraction, you can specify a custom CSS selector with --content-selector if the default extraction is not optimal for a particular page.

sitefetch https://vite.dev --content-selector ".content"

Porquê usar

sitefetch stands out as an essential tool for anyone working with web data, particularly in the realm of artificial intelligence. Its ability to transform complex website structures into clean, readable text files significantly streamlines the data preparation phase for training AI models, fine-tuning LLMs, or performing large-scale text analysis. By offering features like page matching and content selectors, it ensures that you only extract the most relevant information, saving time and computational resources. This makes sitefetch an invaluable asset for researchers, developers, and data scientists looking to leverage web content efficiently.

Links

Explore sitefetch further through these resources:

• GitHub Repository
• For programmatic use, sitefetch offers a simple API. Check out the API documentation within the repository for details on fetchSite.
• Also, consider checking out egoist's LLM chat app: Chatwise.app