ACHE Crawler vs Scrapy

Struggling to choose between ACHE Crawler and Scrapy? Both products offer unique advantages, making it a tough decision.

ACHE Crawler is a Development solution with tags like web-crawler, java, open-source.

It boasts features such as Open source web crawler written in Java, Designed for efficiently crawling large websites, Collects structured data from websites, Multi-threaded architecture, Plugin support for custom data extraction, Configurable via XML files, Supports breadth-first and depth-first crawling, Respects robots.txt directives and pros including Free and open source, High performance and scalability, Extensible via plugins, Easy to configure, Respectful of crawl targets.

On the other hand, Scrapy is a Development product tagged with scraping, crawling, parsing, data-extraction.

Its standout features include Web crawling and scraping framework, Extracts structured data from websites, Built-in support for selecting and extracting data, Async I/O and item pipelines for efficient scraping, Built-in support for common formats like JSON, CSV, XML, Extensible through a plug-in architecture, Wide range of built-in middlewares and extensions, Integrated with Python for data analysis after scraping, Highly customizable through scripts and signals, Support for broad crawling of websites, and it shines with pros like Fast and efficient scraping, Easy to scale and distribute, Extracts clean, structured data, Mature and well-supported, Integrates well with Python ecosystem, Very customizable and extensible.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.