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Scrapy VS Sheets by Google

Compare Scrapy VS Sheets by Google and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Scrapy logo Scrapy

Scrapy | A Fast and Powerful Scraping and Web Crawling Framework

Sheets by Google logo Sheets by Google

Excel powered with automation and collaboration features.
  • Scrapy Landing page
    Landing page //
    2021-10-11
  • Sheets by Google Landing page
    Landing page //
    2023-03-30

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.

Sheets by Google features and specs

  • Collaboration
    Google Sheets allows multiple users to work on the same document simultaneously, making it easy to collaborate in real-time.
  • Accessibility
    As a cloud-based service, Google Sheets is accessible from anywhere with an internet connection, and on any device, including laptops, tablets, and smartphones.
  • Integration
    Seamlessly integrates with other Google Workspace products like Google Docs, Google Slides, and Google Drive, enhancing productivity across different applications.
  • Functionality
    Supports a wide variety of functions and formulas similar to those available in traditional spreadsheet software, making it a powerful tool for data analysis.
  • Version History
    Offers a detailed version history, allowing users to track changes over time and revert to earlier versions if necessary.
  • Cost-effective
    Google Sheets is free for individual users and offers competitive pricing for business accounts, making it an affordable option for many users.

Possible disadvantages of Sheets by Google

  • Limited Offline Access
    While Google Sheets offers offline access, the functionality is limited compared to its online counterpart and requires prior setup.
  • Advanced Features
    Lacks some advanced features found in desktop spreadsheet software like Microsoft Excel, such as complex data visualization tools.
  • Performance
    May experience performance issues, such as slow loading times and lag, when handling extremely large datasets.
  • Privacy Concerns
    As with any cloud-based service, there can be privacy and data security concerns, particularly for sensitive or confidential data.
  • Dependency on Internet
    Requires a stable internet connection for optimal functionality, which can be a limitation in areas with poor connectivity.

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

Sheets by Google videos

No Sheets by Google videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Scrapy and Sheets by Google)

Scrapy

Sheets by Google

Web Scraping
100 100%
Web Scraping
0% 0
Productivity
0 0%
Productivity
100% 100
Data Extraction
100 100%
Data Extraction
0% 0
No Code
0 0%
No Code
100% 100

User comments

Share your experience with using Scrapy and Sheets by Google. 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 Scrapy and Sheets by Google

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

Sheets by Google Reviews

We have no reviews of Sheets by Google yet.
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Social recommendations and mentions

Based on our record, Scrapy seems to be a lot more popular than Sheets by Google. While we know about 97 links to Scrapy, we've tracked only 1 mention of Sheets by Google. 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 / 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
View more

Sheets by Google mentions (1)

  • Writing an AnythingLLM Custom Agent Skill to Trigger Make.com Webhooks
    If you know how to interface with APIs, this can be a game changer.. You can tell your LLM to do anything that you can access via a REST endpoint. But you know what would be even better? Not needing to do the API work yourself. There are automation services that do all the API work for you and let you automate and chain tasks from one API to another, such as Make.com, IFTTT and Zapier. These automation services... - Source: dev.to / 6 months ago

What are some alternatives?

When comparing Scrapy and Sheets by Google, you can also consider the following products

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

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

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

Retool - Build custom internal tools in minutes.

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

SpreadShare - Explore community-curated spreadsheets.

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