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.

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.

Apache Nutch

Apache Nutch

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.

Categories:
Development Web Crawling
web-crawler search-engine java

Apache Nutch Features

  1. Web crawler
  2. Full text search
  3. Distributed crawling
  4. Extensible plugins
  5. REST APIs
  6. Scalable

Pricing

  • Open Source

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

Scrapy

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.

Categories:
Development Web Scraping
scraping crawling parsing data-extraction

Scrapy Features

  1. Web crawling and scraping framework
  2. Extracts structured data from websites
  3. Built-in support for selecting and extracting data
  4. Async I/O and item pipelines for efficient scraping
  5. Built-in support for common formats like JSON, CSV, XML
  6. Extensible through a plug-in architecture
  7. Wide range of built-in middlewares and extensions
  8. Integrated with Python for data analysis after scraping
  9. Highly customizable through scripts and signals
  10. Support for broad crawling of websites

Pricing

  • Open Source

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