Software Alternatives, Accelerators & Startups

Mercurial SCM VS Scrapy

Compare Mercurial SCM VS Scrapy and see what are their differences

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Mercurial SCM logo Mercurial SCM

Mercurial is a free, distributed source control management tool.

Scrapy logo Scrapy

Scrapy | A Fast and Powerful Scraping and Web Crawling Framework
  • Mercurial SCM Landing page
    Landing page //
    2021-10-17
  • Scrapy Landing page
    Landing page //
    2021-10-11

Mercurial SCM features and specs

  • Performance
    Mercurial is known for its speed and performance, especially with large repositories and complex histories. It is designed to be fast and efficient, which makes it suitable for large-scale projects.
  • Simplicity
    Mercurial has a simpler command set compared to other SCMs like Git. The straightforwardness of its commands can make it easier to learn and use, particularly for new users.
  • Cross-platform Support
    Mercurial is a cross-platform tool that works well on a variety of operating systems including Windows, macOS, and Linux. This makes it versatile for development teams using different environments.
  • Strong Documentation
    Mercurial offers comprehensive and well-structured documentation which can be very helpful for both beginners and advanced users. The documentation covers a wide range of topics from basics to more complex usage.
  • Branching Model
    Mercurial uses a simpler and more intuitive branching model compared to Git. This can make branch handling more straightforward, reducing the complexity for developers.

Possible disadvantages of Mercurial SCM

  • Smaller Community
    Mercurial has a smaller user base and community compared to Git. This might result in fewer third-party tools, plugins, and resources available for Mercurial.
  • Market Share
    Git has largely dominated the market share for SCM tools. This might make Mercurial less attractive for enterprises and developers who prefer widely-adopted tools with broad industry support.
  • Tool Integration
    Some software tools and services offer better integration with Git than with Mercurial. This can limit the choices for CI/CD pipelines or other development tools that are often built with Git compatibility first.
  • Complex History Management
    While Mercurial’s simpler commands are an advantage, it can make some complex history management tasks more challenging compared to Git, which has a more powerful set of tools for such purposes.
  • Feature Lag
    New features and updates in source control management tend to appear in Git before they make their way to Mercurial, if at all. This lag can be a disadvantage for teams looking to use the latest advancements in SCM.

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.

Analysis of Mercurial SCM

Overall verdict

  • Mercurial SCM is a reliable and effective tool for version control, especially suited for teams and projects that need a straightforward yet powerful system. While it might not be as popular as Git, it excels in areas such as ease of learning and use, making it an excellent choice for developers who prioritize these qualities.

Why this product is good

  • Mercurial is a distributed version control system known for its simplicity, performance, and powerful branching capabilities. It is particularly favored for its ease of use, efficient handling of large codebases, and capability to work well within both small and large teams. Mercurial offers a consistent command-line interface and has robust support for concurrent development, making it a solid choice for many development environments.

Recommended for

  • Teams that need a simple and intuitive interface for version control
  • Projects requiring efficient handling of large or complex codebases
  • Developers new to version control systems who are looking for an easy-to-learn tool
  • Development environments where consistent and clear version control operations are critical
  • Organizations preferring an open-source solution with a strong focus on reliability and performance

Analysis of Scrapy

Overall verdict

  • Yes, Scrapy is a good option for those looking to implement web scraping projects due to its robust set of features, active community, and comprehensive documentation. It is particularly well-suited for projects that require scraping from multiple websites and processing large volumes of data efficiently.

Why this product is good

  • Scrapy is a popular open-source web crawling framework for Python that's designed for extensive, flexible, and efficient web scraping. Its built-in tools and features make it easy to extract data from websites quickly and automatically. Key advantages include its ability to handle requests asynchronously, its support for multiple protocols, its item pipeline feature that allows for data cleaning and storage, and its ease of integration with other Python libraries and databases.

Recommended for

    Scrapy is recommended for developers, data scientists, and businesses that need to gather data from websites efficiently. It's particularly useful for projects involving data aggregation, market research, competitive analysis, and monitoring pricing changes across various platforms.

Mercurial SCM videos

No Mercurial SCM videos yet. You could help us improve this page by suggesting one.

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Scrapy videos

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

Category Popularity

0-100% (relative to Mercurial SCM and Scrapy)
Git
100 100%
0% 0
Web Scraping
0 0%
100% 100
Code Collaboration
100 100%
0% 0
Data Extraction
0 0%
100% 100

User comments

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Reviews

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

Mercurial SCM Reviews

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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.

Social recommendations and mentions

Based on our record, Scrapy seems to be a lot more popular than Mercurial SCM. While we know about 97 links to Scrapy, we've tracked only 2 mentions of Mercurial SCM. 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.

Mercurial SCM mentions (2)

  • Why so rude?
    Many people have asked me to write a blog post on my preference of Mercurial over Git and so far I've refused and will continue doing so for the foreseeable future. - Source: dev.to / over 1 year ago
  • Mercurial Paris Conference will take place on April 05-07 2023 in Paris France. Call for papers are open!
    Mercurial Paris Conference 2023 is a professional and technical conference around mercurial scm, a free, distributed source control management tool. Source: over 2 years ago

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 / 12 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 / about 1 year 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
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What are some alternatives?

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

Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.

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

Atlassian Bitbucket Server - Atlassian Bitbucket Server is a scalable collaborative Git solution.

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

Apache Subversion - Mirror of Apache Subversion. Contribute to apache/subversion development by creating an account on GitHub.

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