AutoScraper: Example-Based Web Scraping Tool

Developed to solve the hassle of having to modify CSS selectors or XPath every time a web page's structure changes, AutoScraper learns scraping rules on its own when the user provides examples of the desired data (wanted_list).

Key features are as follows.

• Learning-based extraction: When you input a list of specific values, it finds the pattern of where those values are located within the page and returns all similar elements.
• Support for two modes: It provides get_result_similar, which finds all similar elements, and get_result_exact, which precisely retrieves the value at a specific location.
• Reusability and saving: Once trained, a scraper object can be reused on new URLs, and it also supports saving to and loading from a file.
• Compatibility: It is compatible with Python 3 and is released under the MIT License, allowing free commercial use.