StormCrawler vs Scrapy

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

StormCrawler is a Development solution with tags like crawler, scraper, storm, distributed, scalable.

It boasts features such as Distributed web crawling, Fault tolerant, Horizontally scalable, Integrates with other Apache Storm components, Configurable politeness policies, Supports parsing and indexing, APIs for feed injection and pros including Highly scalable, Resilient to failures, Easy integration with other data pipelines, Open source with active community.

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.

StormCrawler

StormCrawler

StormCrawler is an open source web crawler designed to crawl large websites efficiently by scaling horizontally through Apache Storm. It is fault-tolerant and allows integration with other Storm components like machine learning pipelines.

Categories:
Development Web Crawling & Scraping
crawler scraper storm distributed scalable

StormCrawler Features

  1. Distributed web crawling
  2. Fault tolerant
  3. Horizontally scalable
  4. Integrates with other Apache Storm components
  5. Configurable politeness policies
  6. Supports parsing and indexing
  7. APIs for feed injection

Pricing

  • Open Source

Pros

Highly scalable

Resilient to failures

Easy integration with other data pipelines

Open source with active community

Cons

Complex setup and configuration

Requires running Apache Storm cluster

No out-of-the-box UI for monitoring

Limited documentation and examples

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