Showing 5 open source projects for "windows driver model"

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  • 1
    Letterboxd Recommendations

    Letterboxd Recommendations

    Scraping publicly-accessible Letterboxd data for movie recommendations

    Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username. A user's "star" ratings are scraped from their Letterboxd profile and assigned numerical ratings from 1 to 10 (accounting for half stars). Their ratings are then combined with a sample of ratings from the top 4000 most active users on the site to create a collaborative filtering recommender model using singular value...
    Downloads: 0 This Week
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  • 2
    autocrawler

    autocrawler

    Multiprocess Selenium crawler for downloading images by keywords

    AutoCrawler is a Python-based image crawling tool designed to automatically download large numbers of images from search engines using automated browser interaction. It uses Selenium and a Chrome browser driver to navigate image search pages and collect image sources based on keywords provided by the user. AutoCrawler supports multiprocess and multithreaded downloading, which allows it to retrieve images faster by running several tasks simultaneously. Users provide search terms through a...
    Downloads: 1 This Week
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  • 3
    AutoScraper

    AutoScraper

    A Smart, Automatic, Fast and Lightweight Web Scraper for Python

    This project is made for automatic web scraping to make scraping easy. It gets a URL or the HTML content of a web page and a list of sample data that we want to scrape from that page. This data can be text, URL or any HTML tag value of that page. It learns the scraping rules and returns similar elements. Then you can use this learned object with new URLs to get similar content or the exact same element of those new pages.
    Downloads: 3 This Week
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  • 4
    pspider

    pspider

    Simple Python framework for building multithreaded web crawlers

    PSpider is a lightweight web crawling framework written in Python designed to simplify the development of custom web spiders. It focuses on providing an easy-to-understand architecture while still supporting concurrent crawling for improved performance. It uses a multithreaded model that separates the crawling workflow into several components responsible for fetching, parsing, and saving data. Tasks are managed through queues, allowing different parts of the crawler to process work...
    Downloads: 1 This Week
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  • 5
    django-dynamic-scraper

    django-dynamic-scraper

    Creating Scrapy scrapers via the Django admin interface

    Django Dynamic Scraper (DDS) is an app for Django build on top of the scraping framework Scrapy. While preserving many of the features of Scrapy it lets you dynamically create and manage spiders via the Django admin interface. With Django Dynamic Scraper (DDS) you can define your Scrapy scrapers dynamically via the Django admin interface and save your scraped items in the database you defined for your Django project. Since it simplifies things DDS is not usable for all kinds of scrapers, but...
    Downloads: 0 This Week
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