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Mega Search Links is a Python library designed to retrieve URLs from Meawfy’s internal API. It provides a simple, programmatic interface for fetching URLs to various resources hosted on Mega.nz, including articles, multimedia content, and other web resources. The library connects to the Meawfy API, processes JSON results containing URLs, and returns them in a structured format that you can easily integrate into your applications.

About Meawfy

Meawfy is a powerful search engine that helps users find a wide variety of files hosted on Mega.nz. The platform enables searching for movies, games, courses, software, e-books, music, TV series, documentaries, tutorials, and more.
Meawfy is committed to promoting learning and education by providing access to public domain and legally shared content while ensuring compliance with copyright regulations.

Key Features

Customizable User-Agent

Modify the user-agent to mimic different browsers or clients for your HTTP requests

Robust Error Handling

Built-in error handling to gracefully manage HTTP request issues and connection problems

Modular Design

Clean, class-based architecture for easy maintenance and extension of functionality

Simple API

Intuitive interface with just a few lines of code to start fetching URLs

Use Cases

Content Aggregation

Automate the collection of URLs for articles, blog posts, and web resources. Perfect for SEO analysis, competitive research, and content curation platforms.

Data Collection

Ideal for applications requiring bulk data collection, such as market analysis, academic research, and automated reporting systems.

Workflow Automation

Streamline your workflows by programmatically fetching and processing URLs from Meawfy’s extensive database of resources.

Multimedia Access

Retrieve links to images, videos, and other media to support digital marketing campaigns, content creation, and media management.

How It Works

The library uses the URLFetcher class to interact with Meawfy’s API:
  1. Initialize the fetcher with a base URL and custom user-agent
  2. Call fetch_urls() with your search query
  3. Receive a list of URLs matching your search criteria
The library requires only the requests library as a dependency, making it lightweight and easy to integrate into existing projects.

Next Steps

Installation

Get started by installing Mega Search Links and its dependencies

Quickstart

Follow a step-by-step guide to make your first API call

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