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Scrapy VS Cucumber

Compare Scrapy VS Cucumber and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Scrapy logo Scrapy

Scrapy | A Fast and Powerful Scraping and Web Crawling Framework

Cucumber logo Cucumber

Cucumber is a BDD tool for specification of application features and user scenarios in plain text.
  • Scrapy Landing page
    Landing page //
    2021-10-11
  • Cucumber Landing page
    Landing page //
    2022-01-19

Scrapy features and specs

  • Efficiency
    Scrapy is designed to be efficient and robust, capable of handling multiple tasks simultaneously and scraping large websites in a fast and reliable manner.
  • Built-in Tooling
    Scrapy comes with built-in tools for handling common tasks such as following links, extracting data using XPath and CSS, and exporting data in a variety of formats.
  • Customization
    Scrapy offers extensive customization options, allowing users to build complex spiders and modify their behavior through middleware and pipelines.
  • Python Integration
    Being a Python framework, Scrapy integrates seamlessly with the Python ecosystem, enabling the use of libraries like Pandas, NumPy, and others to process and analyze scraped data.
  • Community Support
    Scrapy has a large and active community, providing extensive documentation, tutorials, and third-party extensions to enhance functionality.
  • Asynchronous Processing
    Scrapy’s asynchronous processing model enhances performance by allowing multiple concurrent requests, reducing the time required for crawling sites.

Possible disadvantages of Scrapy

  • Steep Learning Curve
    For beginners, Scrapy's comprehensive feature set and the need for understanding concepts like XPath and CSS selectors can be challenging.
  • Resource Intensive
    Scrapy can be resource-intensive, potentially consuming significant memory and CPU, which can be problematic for scraping very large websites or running multiple spiders simultaneously.
  • Debugging Complexity
    Debugging Scrapy projects can be complex due to its asynchronous nature and the multiple layers of middleware and pipelines that need to be understood.
  • Overhead for Small Projects
    For simple or small-scale scraping tasks, the overhead of setting up and configuring a Scrapy project might be excessive, with simpler alternatives being more suitable.
  • Limited JavaScript Support
    Scrapy's out-of-the-box support for JavaScript-heavy websites is limited, requiring additional tools like Splash or Selenium, which can complicate the setup.
  • Dependency Management
    Managing Scrapy's dependencies and compatibility with other Python packages can sometimes be challenging, leading to potential conflicts and maintenance overhead.

Cucumber features and specs

  • Behavior-Driven Development (BDD) Framework
    Cucumber supports BDD, allowing collaboration between developers, testers, and non-technical stakeholders to improve the quality of development through clear specifications.
  • Gherkin Syntax
    Utilizes the Gherkin language to write test cases in plain English, making them more readable and understandable for non-technical team members.
  • Integrates with Other Tools
    Easily integrates with other testing and development frameworks like JUnit, TestNG, and Selenium, enhancing its flexibility and utility.
  • Open Source
    As an open-source tool, Cucumber allows for extensive customization and community support, reducing the cost of setting up a testing framework.
  • Supports Multiple Languages
    Offers support for various programming languages including Java, Ruby, and JavaScript, making it versatile for different project needs.

Possible disadvantages of Cucumber

  • Steep Learning Curve
    Requires a good understanding of both BDD practices and Cucumber’s structure, which might be challenging for beginners.
  • Performance Overheads
    Execution of Cucumber tests can be slower compared to other testing frameworks, making it less ideal for very large projects requiring fast feedback loops.
  • Verbose Code
    Writing tests in Gherkin can lead to more verbose code, which might require additional maintenance and can become cumbersome over time.
  • Dependency Management
    Managing dependencies for integrating Cucumber with other testing frameworks can be complex, requiring careful coordination.
  • Not Ideal for Unit Testing
    Cucumber is more suited for acceptance and integration testing rather than unit testing, potentially necessitating additional tools for a comprehensive testing strategy.

Scrapy videos

+ Add

Python Scrapy Tutorial - 22 - Web Scraping Amazon

More videos:

  • Demo - Scrapy - Overview and Demo (web crawling and scraping)
  • Review - GFuel LemoNADE Taste Test & Review! | Scrapy

Cucumber videos

+ Add

Madam Kilay Skin Magical Review / Orange cucumber review

More videos:

  • Review - Puff Bar - Cucumber Review (Best Disposable Vape Brand)
  • Review - THE CUCUMBER CHALLENGE! (1 MILLION SUBSCRIBER SPECIAL)
  • Tutorial - Cucumber automation suit

Category Popularity

0-100% (relative to Scrapy and Cucumber)

Scrapy

Cucumber

Web Scraping
100 100%
Web Scraping
0% 0
Automated Testing
0 0%
Automated Testing
100% 100
Data Extraction
100 100%
Data Extraction
0% 0
Browser Testing
0 0%
Browser Testing
100% 100

User comments

Share your experience with using Scrapy and Cucumber. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Scrapy and Cucumber

Scrapy Reviews

Top 15 Best TinyTask Alternatives in 2022
The software is simply deployable via the cloud, or you can host the spiders on your server using Scrapy. Only the rules need to be written; Scrapy will take care of the rest to separate the facts. With Scrapy’s portability and ability to run on Windows, Linux, Mac, and BSD platforms, new features can be added without affecting the program’s core.
Source: www.dashtech.org

Cucumber Reviews

Top Selenium Alternatives
Cucumber itself is not a test automation tool but a framework that supports BDD. It is often used in conjunction with Selenium to provide a layer where test scenarios are written in a way that is understandable by all team members. Unlike Selenium, which focuses on automating browser actions, Cucumber focuses on defining behavior and can be used to drive Selenium tests.
Source: bugbug.io
5 Selenium Alternatives to Fill in Your Top Testing Gaps
Business testers are likely to prefer to use Cucumber over Selenium since script Cucumber lets you write test scenarios using a plain-English scripting language called Gherkin. Using Gherkin instead of code makes test script creation a much simpler process, since anyone can read, write, and understand the scripts regardless of testing experience.
Source: www.perfecto.io
Top 20 Best Automation Testing Tools in 2018 (Comprehensive List)
Cucumber is an open-source tool that is designed over the concept of BDD (Behavior-driven development). It is used to perform the automated acceptance testing by running the examples that best describe the behavior of the application. It gets you a single up-to-date living document that is having both specification and test documentation.
Source: www.softwaretestinghelp.com

Social recommendations and mentions

Based on our record, Scrapy seems to be a lot more popular than Cucumber. While we know about 97 links to Scrapy, we've tracked only 1 mention of Cucumber. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Scrapy mentions (97)

  • Current problems and mistakes of web scraping in Python and tricks to solve them!
    One might ask, what about Scrapy? I'll be honest: I don't really keep up with their updates. But I haven't heard about Zyte doing anything to bypass TLS fingerprinting. So out of the box Scrapy will also be blocked, but nothing is stopping you from using curl_cffi in your Scrapy Spider. - Source: dev.to / 9 months ago
  • Automate Spider Creation in Scrapy with Jinja2 and JSON
    Install scrapy (Offical website) either using pip or conda (Follow for detailed instructions):. - Source: dev.to / 10 months ago
  • Analyzing Svenskalag Data using DBT and DuckDB
    Using Scrapy I fetched the data needed (activities and attendance). Scrapy handled authentication using a form request in a very simple way:. - Source: dev.to / 11 months ago
  • Scrapy Vs. Crawlee
    Scrapy is an open-source Python-based web scraping framework that extracts data from websites. With Scrapy, you create spiders, which are autonomous scripts to download and process web content. The limitation of Scrapy is that it does not work very well with JavaScript rendered websites, as it was designed for static HTML pages. We will do a comparison later in the article about this. - Source: dev.to / 12 months ago
  • What is SERP? Meaning, Use Cases and Approaches
    While there is no specific library for SERP, there are some web scraping libraries that can do the Google Search Page Ranking. One of them which is quite famous is Scrapy - It is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It offers rich developer community support and has been used by more than 50+ projects. - Source: dev.to / over 1 year ago
View more

Cucumber mentions (1)

What are some alternatives?

When comparing Scrapy and Cucumber, you can also consider the following products

Apify - Apify is a web scraping and automation platform that can turn any website into an API.

Selenium - Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that.

ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.

Robot framework - Robot Framework is a generic test automation framework for acceptance testing and acceptance...

Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.

JUnit - JUnit is a simple framework to write repeatable tests.

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