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scrapyvskimurai

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3.1 million (month) Jul 26 2019 2.15.0(2026-04-09 12:02:09 ago)
1,098 1 14 MIT
Aug 23 2018 2.4 thousand (month) 2.2.0(2026-01-27 17:36:19 ago)

Scrapy is an open-source Python library for web scraping. It allows developers to extract structured data from websites using a simple and consistent interface.

Scrapy provides:

  • A built-in way to follow links and extract data from multiple pages (crawling)
  • Handling common web scraping tasks such as logging in, handling cookies, and handling redirects.

Scrapy is built on top of the Twisted networking engine, which provides a non-blocking way to handle multiple requests at the same time, allowing Scrapy to efficiently scrape large websites.

It also comes with a built-in mechanism for handling common web scraping problems, such as:

  • handling HTTP errors
  • handling broken links

Scrapy also provide these features:

  • Support for storing scraped data in various formats, such as CSV, JSON, and XML.
  • Built-in support for selecting and extracting data using XPath or CSS selectors (through parsel).
  • Built-in support for handling common web scraping problems (like deduplication and url filtering).
  • Ability to easily extend its functionality using middlewares.
  • Ability to easily extend output processing using pipelines.

Kimurai is a modern web scraping framework for Ruby, inspired by Python's Scrapy. It provides a structured approach to building web scrapers with built-in support for multiple browser engines, session management, and data pipelines.

Key features include:

  • Multiple engine support Can use different backends depending on the scraping needs: Mechanize for simple HTTP requests, Selenium with headless Chrome/Firefox for JavaScript-rendered pages, and Poltergeist (PhantomJS) for lightweight rendering.
  • Scrapy-like architecture Follows the spider pattern: define a spider class with start URLs and parsing methods, and the framework handles crawling, scheduling, and data collection.
  • Built-in data pipelines Save scraped data to JSON, CSV, or custom formats with configurable output pipelines.
  • Session management Maintains browser sessions with automatic cookie handling and configurable delays between requests.
  • Request scheduling Built-in request queue with configurable concurrency, delays, and retry logic.
  • CLI tools Command-line tools for generating new spiders, running individual spiders, and managing scraping projects.

Kimurai is the closest Ruby equivalent to Scrapy. It's well-suited for structured scraping projects that need organization, multiple spiders, and data pipeline processing.

Note: Kimurai has not seen active development recently, but it remains a useful framework for Ruby scraping projects and is included as the most complete Ruby scraping framework available.

Highlights


popularcss-selectorsxpath-selectorscommunity-toolsoutput-pipelinesmiddlewaresasyncproductionlarge-scale
middlewaresoutput-pipelines

Example Use


```ruby require 'kimurai' class ProductSpider < Kimurai::Base @name = 'product_spider' @engine = :selenium_chrome # or :mechanize for simple pages @start_urls = ['https://example.com/products'] def parse(response, url:, data: {}) # Extract product data from current page response.css('.product').each do |product| item = { name: product.css('.name').text.strip, price: product.css('.price').text.strip, url: absolute_url(product.at_css('a')['href'], base: url), } # Send item to the pipeline save_to "products.json", item, format: :json end # Follow pagination links if next_page = response.at_css('a.next-page') request_to :parse, url: absolute_url(next_page['href'], base: url) end end end # Run the spider ProductSpider.crawl! ```

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