Search Results for "process control kill"
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Showing 9 open source projects for "process control kill"
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1
Spider
High-performance Rust web crawler and scraper for large-scale data
...Spider can operate concurrently across many pages, allowing it to gather large datasets in a short period of time. Spider also provides mechanisms for subscribing to crawl events so developers can process page data such as URLs, status codes, or HTML content as it is discovered. It supports advanced capabilities such as headless browser rendering, background crawling tasks, and configurable rules that control crawl depth or ignored paths. These capabilities make the project suitable for building search indexers, data extraction pipelines, & SEO analysis tools. -
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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. -
3
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. WaterCrawl supports customizable extraction rules so users can focus only on relevant elements while ignoring unnecessary page components. WaterCrawl also offers real-time monitoring capabilities, allowing users to track crawling progress, performance metrics, and errors during large data collection jobs. ... -
4
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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5
Scrapyd
A service daemon to run Scrapy spiders
Scrapyd can manage multiple projects and each project can have multiple versions uploaded, but only the latest one will be used for launching new spiders. A common (and useful) convention to use for the version name is the revision number of the version control tool you’re using to track your Scrapy project code. For example: r23. The versions are not compared alphabetically but using a smarter algorithm (the same packaging uses) so r10 compares greater to r9, for example. Scrapyd is an application (typically run as a daemon) that listens to requests for spiders to run and spawns a process for each one. ... -
6
webotron
Using industrial automation techniques for creating web scraping tools
Industry uses machines that can easily maim or kill their operators and is also used in very adverse environments. In spite of this, production quality must be close to perfect without reliance on operator skill or attentiveness. Control programs must be robust, yet simple enough to be understood and maintained by non programmer skilled trades like electricians . The main programming model is the PLC which implements double buffering and an event loop. -
7
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 crawl process by implementing or replacing core interfaces. ... -
8
gocrawl
Polite concurrent web crawler library for Go with flexible hooks
gocrawl is a lightweight web crawling library written in the Go programming language that enables developers to build custom web crawlers and data extraction tools. gocrawl focuses on providing a minimal yet powerful crawling engine that can be easily extended and adapted for different web scraping or indexing tasks. It is designed to be polite when accessing websites by respecting crawling rules such as robots.txt policies and applying crawl delays for each host. It executes requests... -
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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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