Overview:

The Crawler-website is a website crawler tool developed using the Go language. It allows users to crawl websites, extract data, and store it in an Elasticsearch database. The tool follows the MVC pattern and utilizes Docker for easy deployment and management. It also supports concurrent and distributed crawling using singleton, concurrent, and distributed architectures. The website provides a user-friendly interface to view and query the crawled data.

Features:

Go language: The crawler is developed using the Go programming language, known for its concurrency and performance benefits.
Docker: The tool can be easily deployed using Docker containers, simplifying the setup and management process.
Elasticsearch: The crawled data is stored in an Elasticsearch database, enabling efficient indexing and querying of the data.
MVC pattern: The crawler follows the Model-View-Controller (MVC) architectural pattern, separating the concerns of data storage, presentation, and user interaction.
Microservices: The distributed crawling capability is achieved using microservices, allowing the tool to scale and handle large volumes of data.
Singleton -> Concurrent -> Distribute: The crawler supports different architectures to handle crawling tasks, from a singleton setup to concurrent and distributed setups.

Summary:

The Crawler-website is a powerful web crawling tool developed using the Go language. Its key features include Go language support, Docker integration, Elasticsearch compatibility, and support for singleton, concurrent, and distributed crawling setups. The installation process involves setting up Go language dependencies, starting Docker, and running the necessary Go scripts. With its user-friendly interface and efficient crawling capabilities, the Crawler-website is a valuable tool for extracting and analyzing data from websites.

Albert W

Crawler Project