Search Results for "web mapping 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.

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...It is archived and marked as read-only, indicating that the project is no longer actively maintained or intended for production use.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.

Golang-based distributed web crawler management platform, supporting various languages including Python, NodeJS, Go, Java, PHP and various web crawler frameworks including Scrapy, Puppeteer, Selenium. Please use docker-compose to one-click to start up. By doing so, you don't even have to configure MongoDB database. The frontend app interacts with the master node, which communicates with other components such as MongoDB, SeaweedFS and worker nodes.

Golang Web Scraper library for extracting data from web pages. Save results as CSV, JSON, XML