Showing 4 open source projects for "s-transform"

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  • 1
    Toapi

    Toapi

    Convert websites into structured APIs automatically with Python tool

    Toapi is a Python library designed to transform ordinary websites into usable API services. Instead of building a traditional web crawler that collects and stores data before exposing it through an API, Toapi simplifies the process by allowing developers to define data structures that automatically generate an API layer from existing web pages. It works by parsing HTML content from a source site and mapping selected elements into structured data that can be returned as JSON through API endpoints. ...
    Downloads: 3 This Week
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  • 2
    furl

    furl

    The easiest way to parse and modify URLs in Python

    ...It also handles encoding automatically, including percent-encoding, Unicode domains, Unicode paths, and query strings. furl supports Python 3 and PyPy3 and is designed to be well tested and practical for everyday backend, scripting, and data-processing workflows. It is a good fit for developers who frequently need to clean, transform, generate, or normalize URLs in Python applications.
    Downloads: 0 This Week
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  • 3
    watercrawl

    watercrawl

    AI-ready web crawler that extracts and structures website content

    WaterCrawl is an open source web crawling and data extraction platform designed to transform website content into structured data suitable for machine learning and AI workflows. It enables developers and researchers to crawl web pages, extract meaningful information, and convert it into formats that are easier to process and analyze. It provides a modern crawling system that can automatically navigate links, control crawl depth, and collect content from targeted sections of a website. ...
    Downloads: 0 This Week
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  • 4
    WeChatSogou

    WeChatSogou

    Python library to crawl and retrieve data from WeChat accounts

    ...Internally, the library separates its functionality into several layers including an API interface, request handling, and response parsing components to organize the crawling workflow. These components work together to process HTTP requests, handle verification mechanisms, and transform HTML or JSON responses into usable objects. Developers can integrate the library into scripts or larger data collection systems to automate gathering content from public accounts.
    Downloads: 0 This Week
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