Search Results for "framework"

Katana is an open source command-line web crawling and spidering framework developed by ProjectDiscovery. It is designed to efficiently crawl websites and web applications in order to discover endpoints, resources, and other useful information that may not be easily visible through manual browsing. Katana focuses on speed and automation, making it suitable for use in security reconnaissance workflows and automated pipelines.

...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. It emphasizes realistic interactions and fingerprint management to reduce the likelihood of automated actions.

...It serves as the core extraction component used by the NewPipe Android application, but it is built as a standalone library that can also be integrated into other software projects. NewPipeExtractor provides a unified framework for retrieving information such as video streams, playlists, channels, and search results from supported streaming services. It handles many low-level tasks involved in web data extraction, including parsing responses, managing platform-specific logic, and handling errors, allowing developers to focus on implementing application features rather than scraping mechanics. ...

DotnetSpider is a web crawling and data extraction framework built on the .NET Standard platform. It is designed to help developers create efficient and scalable crawlers for collecting structured data from websites. It provides a high-level API that simplifies the process of defining spiders, managing requests, and extracting content from web pages. Developers can create custom spiders by extending base classes and configuring pipelines that handle downloading, parsing, and storing collected data. ...

...It is archived and marked as read-only, indicating that the project is no longer actively maintained or intended for production use. The README states that ongoing development has migrated into a larger framework under the Angular project. It includes modules for dispatching events, for capturing native events, for custom event details, and for action flows. Because it is purely JavaScript (and uses HTML for test harnesses), it is suited for web browsers and front-end use. Although deprecated, it can still serve as a reference for how to architect event delegation and binding abstractions.

spider_collection is a collection of Python web crawler scripts created primarily for experimentation, learning, and practical scraping tasks. spider_collection gathers multiple independent spiders designed to collect data from different platforms and services, demonstrating a variety of scraping techniques and workflows. These crawlers make use of common Python scraping tools such as requests, parsel, BeautifulSoup, and the Scrapy framework to extract structured information from web pages. Several scripts also incorporate multi-threading and proxy usage to improve scraping efficiency and help avoid common anti-scraping limitations. In addition to raw data collection, some spiders include basic data processing and analysis using tools such as pandas and simple visualization with matplotlib. ...