Apache Nutch vs Scrapy

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

Apache Nutch is a Development solution with tags like web-crawler, search-engine, java.

It boasts features such as Web crawler, Full text search, Distributed crawling, Extensible plugins, REST APIs, Scalable and pros including Open source, Highly scalable, Supports distributed crawling, Plugin architecture for extensibility, Integrates with Solr/Elasticsearch for indexing.

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.

Feature	Apache Nutch	Scrapy
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

Apache Nutch

Description: Apache Nutch is an open source web crawler software project written in Java. It is used to build web search engines and web archiving systems. Nutch can crawl websites and index page content and metadata.

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.

Key Features Comparison

Apache Nutch Features

• Web crawler
• Full text search
• Distributed crawling
• Extensible plugins
• REST APIs
• Scalable

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

Pros & Cons Analysis

Apache Nutch

Pros

• Open source
• Highly scalable
• Supports distributed crawling
• Plugin architecture for extensibility
• Integrates with Solr/Elasticsearch for indexing

Cons

• Steep learning curve
• Requires Java expertise for customization
• Not as feature rich as commercial crawlers

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

Pricing Comparison

Apache Nutch

• Open Source

Scrapy

• Open Source