Software Alternatives, Accelerators & Startups

Scrapy VS GoJS

Compare Scrapy VS GoJS and see what are their differences

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.

Scrapy logo Scrapy

Scrapy | A Fast and Powerful Scraping and Web Crawling Framework

GoJS logo GoJS

GoJS is a JavaScript library for building interactive diagrams on HTML web pages. Build apps with flowcharts, org charts, BPMN, UML, modeling, and other visual graph types.
  • Scrapy Landing page
    Landing page //
    2021-10-11
  • GoJS Landing page
    Landing page //
    2023-03-21

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.

GoJS features and specs

  • Rich Feature Set
    GoJS offers a comprehensive set of features designed for creating interactive diagrams, charts, and complex visualizations. This includes node and link modeling, custom styling, data binding, automatic layouts, and more.
  • Extensive Documentation
    The library is well-documented, providing developers with thorough guides, a detailed API reference, and numerous examples to assist in the implementation and troubleshooting of applications.
  • High Performance
    GoJS is optimized for performance, enabling the creation of responsive web applications that can handle a large number of nodes and complex interactions efficiently.
  • Flexibility and Customization
    GoJS offers great flexibility, allowing developers to customize the appearance and behavior of diagrams entirely, which makes it suitable for a wide range of use cases.
  • Active Support and Community
    The GoJS team provides active support to users through their forum and is responsive to issues and feature requests. This is complemented by a growing community of users sharing insights and solutions.

Possible disadvantages of GoJS

  • Commercial Licensing
    GoJS is a commercial product, and while it offers a free trial, a license is required for sustained use. This might be a constraint for projects with limited budgets.
  • Steep Learning Curve
    Due to its extensive capabilities and myriad of options, there can be a steep learning curve for developers new to GoJS to understand and effectively use all its features.
  • Complexity for Simple Diagrams
    While GoJS is powerful for complex diagrams, it might be considered overkill for simpler visualizations, where a lightweight library might suffice.
  • Browser Compatibility
    Although modern browsers are generally supported, there might be some compatibility issues or performance differences to manage when targeting older or less common browsers.
  • File Size
    The library's comprehensive feature set comes with a relatively large file size, which could impact loading times, particularly in environments with limited bandwidth.

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.

Analysis of GoJS

Overall verdict

  • GoJS is considered a good choice for developers needing a versatile and feature-rich library for developing complex diagramming applications. Its performance, flexibility, and extensive support make it a reliable tool for both small and large-scale projects.

Why this product is good

  • GoJS is widely regarded as a powerful JavaScript and TypeScript library for building interactive diagrams and graphs. It offers a comprehensive set of features, including customizable templates, support for a variety of diagram types, and intuitive drag-and-drop functionality. The library is optimized for performance with large datasets and provides a robust API for creating complex visual representations. It also boasts thorough documentation and a range of examples to help developers get started quickly.

Recommended for

  • Developers working on data visualization apps
  • Teams creating interactive diagrams or flowcharts
  • Projects requiring complex and scalable diagram solutions
  • Organizations needing customizable and high-performance diagram libraries

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

GoJS videos

GoJS in 12 Minutes: JavaScript Diagramming Library Tutorial

More videos:

  • Tutorial - What's in a GoJS JavaScript Application? | GoJS Beginner Tutorial #1
  • Review - [GOJS] Design Patterns em Javascript

Category Popularity

0-100% (relative to Scrapy and GoJS)
Web Scraping
100 100%
0% 0
Flowcharts
0 0%
100% 100
Data Extraction
100 100%
0% 0
Javascript UI Libraries
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 Scrapy and GoJS

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.

GoJS Reviews

20+ JavaScript libraries to draw your own diagrams (2022 edition)
GoJS offers many advanced features for user interactivity such as drag-and-drop, copy-and-paste, transactional state and undo management, palettes, overviews, data-bound models, event handlers, and an extensible tool system for custom operations. They provide over 150 interactive samples to help you get started with diagrams such as BPMN, flowchart, state chart, visual...

Social recommendations and mentions

Based on our record, Scrapy should be more popular than GoJS. 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 / 11 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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GoJS mentions (13)

  • Ask HN: What do you use to create diagrams?
    Well I make https://gojs.net, so I just use the GoJS diagramming library to make diagrams :D Of course, its made for developers trying to make applications, not end users. - Source: Hacker News / 3 months ago
  • Ask HN: What is the best software to visualize a graph with a billion nodes?
    My library (https://gojs.net) can do that easily. Give it a look, and if you think the price is acceptable for your project, contact us and we can make you a proof-of-concept. - Source: Hacker News / 11 months ago
  • Your 14-Day Free Trial Ain't Gonna Cut It
    If you click on their username, it takes you to their profile. https://news.ycombinator.com/user?id=simonsarris. - Source: Hacker News / about 1 year ago
  • Burning money on paid ads for a dev tool – what we've learned
    Have spent six figures yearly on ads, mostly for reach for the developer-focused diagram library GoJS (https://gojs.net) > Each experiment will need ~$500 and 2 weeks I would add a zero if you want serious data. I would also double the timescale. $5,000 over 4 weeks I second the uselessness of Google Display, it might look like conversions numbers are good but they are 100% too good to be true. As soon as you look... - Source: Hacker News / over 1 year ago
  • Any Ideas How to Create a Graph Builder UI in React?
    Used goJS in one project and konva in another. Source: over 2 years ago
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What are some alternatives?

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

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

mxGraph - mxGraph is a fully client side JavaScript diagramming library - jgraph/mxgraph

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

Konva - Konva is 2d Canvas JavaScript framework for drawings shapes, animations, node nesting, layering, filtering, event handling, drag and drop and much more.

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

jsPlumb - jsPlumb is an advanced, standards-compliant and easy to use JS library for building connectivity based applications, such as flowcharts, process flow diagrams, sequence diagrams, organisation charts, etc. More than just a diagram library.