Software Alternatives, Accelerators & Startups
Register | Login
FP

Scrapy VS FlexboxPatterns

Compare Scrapy VS FlexboxPatterns and see what are their differences

Piloterr
Piloterr is the #1 platform enabling forward-thinking companies to leverage the full potential of web data through +50 ready-to-use APIs. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Scrapy logo Scrapy

Scrapy | A Fast and Powerful Scraping and Web Crawling Framework

FlexboxPatterns logo FlexboxPatterns

Build awesome user interfaces with CSS flexbox
  • Scrapy Landing page
    Landing page //
    2021-10-11
  • FlexboxPatterns Landing page
    Landing page //
    2019-01-22

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.

FlexboxPatterns features and specs

  • Ease of Use
    FlexboxPatterns provides a simple and straightforward way to understand and implement common flexbox layouts, making it accessible for developers at all skill levels.
  • Time-Saving
    The patterns offered save development time by providing ready-made solutions, reducing the need to create layouts from scratch.
  • Educational Resource
    FlexboxPatterns serves as a great learning tool for those looking to deepen their understanding of CSS Flexbox by offering practical examples and code snippets.

Possible disadvantages of FlexboxPatterns

  • Limited Customization
    While useful, the pre-defined patterns might not fit all design needs, requiring additional customization which might negate some of the time-saving benefits.
  • Over-Simplification
    FlexboxPatterns might overly simplify complex layout challenges, which could lead to developers relying on patterns rather than understanding underlying concepts fully.
  • Dependency Risk
    Developers might become too reliant on FlexboxPatterns, potentially hindering their ability to adapt to different layout methods when Flexbox is not suited.

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.

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

FlexboxPatterns videos

+ Add

Product Hunt Review E27 (Showbox, FlexboxPatterns, Platforma Wireframe Kit) by Cleveroad Inc.

Category Popularity

0-100% (relative to Scrapy and FlexboxPatterns)

Scrapy

FlexboxPatterns

Web Scraping
100 100%
Web Scraping
0% 0
Website Builder
0 0%
Website Builder
100% 100
Data Extraction
100 100%
Data Extraction
0% 0
CSS Framework
0 0%
CSS Framework
100% 100

User comments

Share your experience with using Scrapy and FlexboxPatterns. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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

FlexboxPatterns Reviews

We have no reviews of FlexboxPatterns yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Scrapy seems to be more popular. It has been mentiond 97 times since March 2021. 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 / 10 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
View more

FlexboxPatterns mentions (0)

We have not tracked any mentions of FlexboxPatterns yet. Tracking of FlexboxPatterns recommendations started around Mar 2021.

What are some alternatives?

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

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

Flexbox Grid - Grid based on CSS3 flexbox

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

Dimensions Toolkit - Chrome Extension for designers to test responsive websites.

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

Lucas Gruwez - 🏊 + ⛵️ + 👨‍💻 | 🇦🇺 ↔️ 🇧🇪

Loading...