2 Repos
The use of distributed scraping architectures to collect high volumes of web data for analysis.
Distinct from Data Mining: Specific to web scraping throughput scaling, whereas general Data Mining focuses on pattern extraction from existing datasets.
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Colly is a web scraping framework and concurrent crawler written in Go. It provides a system for traversing web pages, following links, and extracting structured data from HTML and XML documents. The framework includes a distributed scraping engine designed to spread data collection tasks across multiple instances to increase throughput. It ensures compliance with website owner policies by automatically reading and respecting robots.txt files. The system manages request lifecycles through domain-based rate limiting, concurrency controls, and session management via a stateful cookie jar. It s
Distributes scraping tasks across multiple instances to increase the volume and throughput of collected web data.
DotnetSpider is a .NET web crawler framework and programmable tool designed for traversing websites and capturing structured data from web pages. It functions as a distributed crawling engine that enables the automation of web crawling to discover and extract data. The framework is designed for distributed data extraction, allowing crawling tasks to be spread across multiple servers to process large volumes of web content. This architecture supports high-performance web scraping and enterprise data collection workflows for gathering structured information.
Uses a distributed scraping architecture to collect high volumes of web data for analysis.