Scrapy vs ACHE Crawler

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

Scrapy is a Development solution with tags like scraping, crawling, parsing, data-extraction.

It boasts features such as 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 pros including 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.

On the other hand, ACHE Crawler is a Development product tagged with web-crawler, java, open-source.

Its standout features include 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 it shines with pros like Free and open source, High performance and scalability, Extensible via plugins, Easy to configure, Respectful of crawl targets.

Feature	Scrapy	ACHE Crawler
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

Scrapy

Description: Scrapy is an open-source web crawling framework used for scraping, parsing, and storing data from websites. It is written in Python and allows users to extract data quickly and efficiently, handling tasks like crawling, data extraction, and more automatically.

ACHE Crawler

Description: ACHE Crawler is an open-source web crawler written in Java. It is designed to efficiently crawl large websites and collect structured data from them.

Key Features Comparison

Scrapy Features

• 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

ACHE Crawler Features

• 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

Pros & Cons Analysis

Scrapy

Pros

• 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

Cons

• Steep learning curve
• Configuration can be complex
• No GUI or visual interface
• Requires proficiency in Python
• Not ideal for simple one-off scraping tasks

ACHE Crawler

Pros

• Free and open source
• High performance and scalability
• Extensible via plugins
• Easy to configure
• Respectful of crawl targets

Cons

• Requires Java knowledge to customize
• Limited documentation
• Not ideal for focused crawling of specific data
• No web UI for managing crawls

Pricing Comparison

Scrapy

• Open Source

ACHE Crawler

• Open Source