Showing 4 open source projects for "high level programming"

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  • 1
    Scrapy

    Scrapy

    A fast, high-level web crawling and web scraping framework

    Scrapy is a fast, open source, high-level framework for crawling websites and extracting structured data from these websites. Portable and written in Python, it can run on Windows, Linux, macOS and BSD. Scrapy is powerful, fast and simple, and also easily extensible. Simply write the rules to extract the data, and add new functionality if you wish without having to touch the core.
    Downloads: 26 This Week
    Last Update:
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  • 2
    Pydoll

    Pydoll

    Async Python library in automating Chromium browsers without WebDriver

    ...Instead of using external drivers, it connects directly to the Chrome DevTools Protocol through WebSocket, allowing scripts to control browser behavior more efficiently and with fewer compatibility issues. It provides a high-level API that simplifies common browser automation tasks while still offering access to low-level protocol features for advanced control. Its architecture is built around asynchronous programming using Python’s asyncio framework, enabling concurrent automation of multiple tabs and browser contexts. Pydoll also includes tools for monitoring and intercepting network traffic, allowing developers to analyze or modify requests and responses during automation workflows. ...
    Downloads: 0 This Week
    Last Update:
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  • 3
    gain

    gain

    Asyncio-based Python framework for building fast web crawling spiders

    ...Gain also allows developers to configure headers, concurrency levels, and proxy settings to control how crawlers interact with target websites. Because it uses asynchronous programming, Gain can handle multiple requests efficiently while minimizing blocking operations.
    Downloads: 3 This Week
    Last Update:
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  • 4
    rnet

    rnet

    Python HTTP client with TLS and HTTP/2 fingerprint emulation support

    ...It provides a flexible API for making HTTP requests while supporting both asynchronous and blocking workflows, allowing it to integrate easily into different Python applications and runtimes. rnet focuses on low-level protocol customization, giving users fine-grained control over TLS and HTTP/2 configuration in order to emulate specific browser behaviors. This includes support for TLS fingerprinting techniques such as JA3 and JA4 as well as detailed HTTP/2 settings, enabling more accurate simulation of real client network traffic. It is powered by the underlying wreq engine and is built with performance and modularity in mind. rnet also supports advanced networking capabilities such as proxy rotation, connection pooling, and streaming transfers, which make it suitable for automation, scraping, and high-performance network.
    Downloads: 0 This Week
    Last Update:
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