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Scrapy VS Profitable no-code apps database

Compare Scrapy VS Profitable no-code apps database and see what are their differences

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Scrapy logo Scrapy

Scrapy | A Fast and Powerful Scraping and Web Crawling Framework

Profitable no-code apps database logo Profitable no-code apps database

A database of 69+ hand curated profitable no-code apps
  • Scrapy Landing page
    Landing page //
    2021-10-11
  • Profitable no-code apps database Landing page
    Landing page //
    2023-08-25

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.

Profitable no-code apps database features and specs

  • Ease of Use
    The database is designed for users who may not have technical expertise, making it accessible for a wider audience to create and manage apps without needing to write code.
  • Time Efficiency
    No-code solutions typically allow for faster development and deployment compared to traditional coding, which could save users a considerable amount of time.
  • Cost Effective
    By eliminating the need for professional developers, users can potentially reduce costs associated with app development, particularly small businesses or individual entrepreneurs.
  • Updated Content
    The database likely provides up-to-date information on various no-code platforms, helping users stay informed about the latest tools and trends.

Possible disadvantages of Profitable no-code apps database

  • Limited Customization
    No-code solutions may not offer the same level of customization and flexibility as traditional coding, which can be a disadvantage for complex or highly unique app requirements.
  • Scalability Issues
    Apps created using no-code platforms may face limitations when scaling, especially if the platform doesn’t support advanced features or higher user loads effectively.
  • Dependency on Platform
    Users might become reliant on the features and stability of the no-code platform, which can be a risk if the platform undergoes changes or suffers from downtime.
  • Learning Curve
    While no-code tools are generally more accessible than traditional coding, users may still face a learning curve in understanding how to effectively utilize specific platforms and tools.

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

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

Profitable no-code apps database videos

No Profitable no-code apps database videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Scrapy and Profitable no-code apps database)
Web Scraping
100 100%
0% 0
Developer Tools
0 0%
100% 100
Data Extraction
100 100%
0% 0
Productivity
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 Profitable no-code apps database

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.

Profitable no-code apps database Reviews

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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 / 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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Profitable no-code apps database mentions (0)

We have not tracked any mentions of Profitable no-code apps database yet. Tracking of Profitable no-code apps database recommendations started around Mar 2021.

What are some alternatives?

When comparing Scrapy and Profitable no-code apps database, you can also consider the following products

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

Profitable developer tools database - A database of 103+ hand-curated profitable developer tools

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

Jotform Apps - Jotform Apps is a no-code app maker enabling you to build your own online mobile app without coding. Discover it now, turn your app concept into reality!

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

Ycode - Ycode is a visual development platform that enables creators to build custom web projects without having to hire developers.