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Uptime Kuma VS Scrapy

Compare Uptime Kuma VS Scrapy and see what are their differences

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Contents:
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  3. » Reviews
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Uptime Kuma logo Uptime Kuma

A fancy self-hosted monitoring tool.

Scrapy logo Scrapy

Scrapy | A Fast and Powerful Scraping and Web Crawling Framework
  • Uptime Kuma Landing page
    Landing page //
    2023-07-11
  • Scrapy Landing page
    Landing page //
    2021-10-11

Uptime Kuma features and specs

  • Open Source
    Being open-source means the source code is freely available for anyone to inspect, modify, and enhance, promoting transparency and community-driven development.
  • Self-Hosted
    Allows you to host the application on your own server, providing complete control over your data and infrastructure.
  • User-Friendly Interface
    Offers a clean and intuitive UI, making it easy for users to set up and manage uptime monitoring.
  • Customizable Notifications
    Supports multiple notification channels (e.g., email, Slack, Telegram) and allows customizable alert settings.
  • Multiple Monitoring Types
    Supports various types of monitoring including HTTP(s), TCP, and ICMP (ping), allowing for versatile use cases.
  • Resource Efficient
    Designed to be lightweight, ensuring it does not consume significant system resources.
  • Multi-Language Support
    Provides support for multiple languages, making it accessible to a broader audience worldwide.
  • Community Support
    Being part of a vibrant open-source community means you can get help and contribute to the project, which often results in rapid bug fixes and feature enhancements.

Possible disadvantages of Uptime Kuma

  • Self-Maintenance
    Requires the user to handle all aspects of server maintenance, including updates, backups, and security patches.
  • Limited Features Compared to Paid Solutions
    May lack some advanced features and integrations offered by commercial uptime monitoring services.
  • Initial Setup Complexity
    Can be complex to set up, especially for users who are not familiar with self-hosted solutions or lack technical expertise.
  • No Official Support
    Lacks official customer support, meaning users primarily rely on community help and forums for troubleshooting.
  • Scalability Issues
    May face scalability challenges when monitoring a large number of endpoints, requiring additional configuration and resources.
  • Dependency Management
    Requires careful management of dependencies and updates to ensure stability and compatibility, which may be time-consuming.

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 Uptime Kuma

Overall verdict

  • Uptime Kuma is considered a good option for those who need a reliable, customizable monitoring solution that they can self-host. It is especially valued by users who appreciate its open-source nature, ease of setup, and the ability to adapt to diverse monitoring needs without incurring costs.

Why this product is good

  • Uptime Kuma is a self-hosted monitoring tool that is praised for its user-friendly interface, robust functionality, and flexibility. It allows users to monitor the uptime status of their websites, services, and other resources in a straightforward manner. The tool supports notifications through several channels, custom dashboards, and has an active community that continuously contributes to its improvement. It's open-source, which means it's transparent and subject to input from developers worldwide.

Recommended for

    Uptime Kuma is recommended for small to medium-sized businesses, developers, system administrators, and hobbyists who need an easy-to-use, self-managed monitoring tool. It's ideal for those who require a no-cost solution and have some level of technical proficiency to set up and maintain their own server environment.

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.

Uptime Kuma videos

+ Add

Meet Uptime Kuma, a Fancy Open Source Uptime Monitor for all your HomeLab Monitoring Needs

More videos:

  • Review - Like A Pro Service Monitoring with Uptime Kuma for Home Assistant
  • Review - Monitor Status with Uptime Kuma - Let's install Uptime Kuma with Docker
  • Review - Uptime Kuma Open Source Uptime Monitor for HomeLab Server monitoring

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

Category Popularity

0-100% (relative to Uptime Kuma and Scrapy)

Uptime Kuma

Scrapy

Website Monitoring
100 100%
Website Monitoring
0% 0
Web Scraping
0 0%
Web Scraping
100% 100
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Data Extraction
0 0%
Data Extraction
100% 100

User comments

Share your experience with using Uptime Kuma and Scrapy. 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 Uptime Kuma and Scrapy

Uptime Kuma Reviews

Self Hosting Like Its 2025
Dockge is relatively new and created by the developer behind Uptime Kuma, which is a fantastic tool. Although it hasn’t yet reached the maturity of Portainer, Dockge truly excels in its simplicity. It’s also regularly updated, and the developer is prompt in addressing issues on GitHub.
Source: kiranet.org

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

Social recommendations and mentions

Uptime Kuma might be a bit more popular than Scrapy. We know about 102 links to it since March 2021 and only 97 links to Scrapy. 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.

Uptime Kuma mentions (102)

View more

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

What are some alternatives?

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

UptimeRobot - Free Website Uptime Monitoring

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

Pingdom - With website monitoring from Pingdom you will be the first to know when your website is down. No installation required. 30-day free trial.

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

Uptime.com - Everything you require for availability monitoring. Simple & intuitive industry leading Enterprise-grade features delivered at a fair price, that are continuously improving.

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

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