Search Results for "fast performance"
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Showing 7 open source projects for "fast performance"
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Scrapling
An adaptive Web Scraping framework
...The framework includes advanced fetchers capable of bypassing anti-bot protections such as Cloudflare Turnstile using stealth and browser automation techniques. Its powerful spider system supports multi-session crawling, pause and resume functionality, and real-time streaming of scraped data. Scrapling combines high performance, memory efficiency, and extensive async support to deliver blazing-fast scraping workflows. With a developer-friendly API, CLI tools, MCP server integration for AI-assisted extraction, and Docker support, it offers a complete solution for modern web scrapers. -
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videodl
Lightweight Python tool for downloading videos from many platforms
...Videodl can integrate with external command-line utilities to improve downloading performance, handle streaming formats such as HLS, and manage encrypted or segmented media streams. Additional utilities can also enable faster downloads, resume interrupted transfers, and process complex playlist structures. -
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kimuraframework
AI-first Ruby framework for building fast, flexible web scraping spide
Kimurai is an open source web scraping framework written in Ruby that simplifies the process of building automated data extraction tools. It provides a clean domain-specific language that allows developers to define scraping logic and data schemas with minimal boilerplate code. Kimurai can use AI-assisted extraction to identify where data resides in HTML pages, automatically generating selectors that are cached for future use so subsequent scraping runs operate with pure Ruby performance.... -
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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. Developers define crawlers using components such as spiders, parsers, and... -
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Geziyor
Blazing fast Go framework for web crawling and data scraping tasks
Geziyor is a high-performance web crawling and web scraping framework built for the Go programming language. It is designed to help developers crawl websites and extract structured information from web pages efficiently. It focuses on speed and scalability, allowing large numbers of requests to be processed concurrently. Geziyor supports use cases such as data mining, monitoring web content, and automated testing workflows. It provides a flexible architecture where developers define parsing... -
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Abot
Fast and flexible C# framework for building customizable web crawlers
Abot is an open source C# web crawler framework designed to help developers efficiently crawl and process web content. It focuses on speed, flexibility, and extensibility while handling the complex low-level tasks involved in web crawling. It manages essential components such as multithreading, HTTP requests, scheduling, and link parsing so developers can focus on processing the collected data. Abot follows a modular architecture that allows developers to customize nearly every stage of the... -
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ruia
Async Python framework for fast and flexible web scraping spiders
Ruia is an asynchronous web scraping micro-framework built for Python that focuses on simplicity, speed, and flexibility when creating web crawlers. Ruia is powered by Python’s asyncio library along with aiohttp, enabling developers to perform concurrent network requests efficiently and scrape data from websites with minimal overhead. Ruia follows a “write less, run faster” philosophy, emphasizing concise code and streamlined spider development. It provides a structured approach to building...
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