feczkob/climbing-stuff

AI Summary: Create a new web scraper for the website tengerszem.hu to extract discounted climbing gear information. The scraper should be implemented in Python, extending an existing base scraper class, and integrated into the existing application's framework. It needs to parse product details like name, price, discount, and URL from the provided HTML example and handle different product categories. Finally, the new scraper should be configured and enabled within the application.

AI Summary: Implement a new web scraper for the maszas.hu website to extract climbing gear discounts. This involves creating a new scraper class extending the existing base scraper, configuring it with the provided URLs for different gear categories, and then enabling the scraper within the main application. The scraper needs to parse HTML to extract product names, prices (original and discounted), and availability.

AI Summary: The task is to modify the Mountex scraper to fetch data asynchronously, preventing the 5-second blocking issue. This likely involves using asynchronous programming techniques (like asyncio in Python) to make requests concurrently and avoid waiting for each request to complete before starting the next.