Showing 5 open source projects for "fuzzy logic python"

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  • 1
    ScrapeGraphAI

    ScrapeGraphAI

    Python scraper based on AI

    Extracting content from websites and local documents using LLM. ScrapeGraphAI is a web scraping python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.). Just say which information you want to extract and the library will do it for you.
    Downloads: 14 This Week
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  • 2
    MDCx

    MDCx

    Movie metadata scraper and organizer for media libraries and NFO

    MDCx is an open source media metadata scraping and organization tool designed to automate the process of collecting detailed information for movie files. It retrieves metadata from multiple online sources and applies it to local media collections, helping users maintain structured and well-organized libraries. MDCx can download information such as titles, cast data, artwork, and other metadata, then generate standardized NFO files compatible with media management systems. It also supports...
    Downloads: 10 This Week
    Last Update:
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  • 3
    crawler

    crawler

    Collection of JS reverse engineering examples for web scraping study

    crawler is a collection of web scraping and JavaScript reverse engineering examples designed for learning how modern websites protect their data and how those protections can be analyzed. It contains many case studies that demonstrate how to analyze and replicate request parameters, cookies, and encryption logic used by real websites. Each directory in the project focuses on a specific target service or scenario, showing how browser network requests and JavaScript code can be studied to...
    Downloads: 0 This Week
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  • 4
    mlscraper

    mlscraper

    ML-based HTML scraper that learns extraction rules from examples

    mlscraper is a Python library designed to automatically extract structured data from HTML pages without requiring developers to manually write CSS selectors or XPath rules. Instead of defining extraction logic by hand, users provide a few examples of the data they want to retrieve from a webpage. It analyzes those examples within the HTML document and determines patterns or rules that can be used to extract the same type of information from similar pages.
    Downloads: 1 This Week
    Last Update:
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  • 5
    gain

    gain

    Asyncio-based Python framework for building fast web crawling spiders

    Gain is a Python web crawling framework designed to simplify the process of building efficient and scalable web scrapers. It is built on top of asynchronous technologies such as asyncio, aiohttp, and uvloop to support high-performance crawling with concurrent network requests. It provides a structured framework for creating spiders that can navigate websites, extract structured data, and process the collected results.
    Downloads: 1 This Week
    Last Update:
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