Crawl-to-Markdown

Crawl-to-Markdown is a TypeScript package designed to search search engines for a given keyword, crawl the resulting websites, and return their content in Markdown format. It can also directly crawl specified websites, making it a versatile tool for content extraction, documentation, or SEO analysis.

Features

• Search search engines for keywords and crawl the results.
• Crawl websites directly by providing URLs.
• Extract web content and deliver it in markdown format.
• Ideal for developers, content creators, and SEO specialists.
• Built-in support for structured data extraction.

Installation

Install the package via npm:

npm install crawl-to-markdown

Usage

1. Crawl Search Engine Results for a Given Keyword

You can provide a keyword, and the package will search the web and crawl the top results, returning the content in markdown format:

import { MarkdownCrawler } from 'crawl-to-markdown';

const keyword = 'How to outperform your self';
const crawler = new MarkdownCrawler(true);
const result = await crawler.crawlFromKeyword(keyword, 'google');

2. Crawl a Specific Website

If you want to crawl a specific website and extract its content:

import { MarkdownCrawler } from 'crawl-to-markdown';

const url = 'https://example.com';
const crawler = new MarkdownCrawler(true);
const result = await crawler.crawlFromUrl(url);

API

crawlFromKeyword(keyword: string): Promise<string>

• keyword: A keyword to search in search engines.
• Returns a promise that resolves to the markdown content extracted from the top search results.

crawlFromUrl(url: string): Promise<string>

• url: A specific website URL to crawl.
• Returns a promise that resolves to the markdown content of the crawled webpage.

Example Output

Here’s an example of what the markdown output might look like:

# Example Website Title

## Introduction

This is an example content scraped from the website.

## Section 1: Overview

Details about the first section...

## Conclusion

Final thoughts and summary...

License

This project is licensed under the MIT License. See the LICENSE file for more details.