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Project description

VScrapper

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Overview

VScrapper is a versatile web scraping library designed to simplify the process of extracting data from websites. It provides a set of tools and utilities to handle various aspects of web scraping, from URL sanitization to detailed search results.

Features

  • Google Search: Performs basic and detailed Google searches to fetch relevant data.
  • Markdown Conversion: Converts web content into Markdown format for easy integration into documents.
  • Detailed Search Results: Provides detailed search results for each search query.
  • Async by default: Supports asynchronous operations by default.

Installation

To install VScrapper, use the following command:

pip install vscrapper

Usage

Here's a basic example of how to use VScrapper to perform a Google search and sanitize a URL:

from vscrapper.search import SearchQuery
from vscrapper.weburl import WebURL
from vscraooer import warmup
# do a warmup first

warmup()

# Perform a Google search
search_query = SearchQuery(query="Python web scraping")
search_results = await search_query.google_search()

# Perform a detailed google search
detailed_results = await search_query.detailed_google_search()

# Convert an url to a markdown
web_url = WebURL(url="http://example.com")
sanitized_url = await web_url.to_markdown()

Contributing

Contributions are welcome! Please read the contributing guidelines to get started.

License

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

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