Software Alternatives, Accelerators & Startups

Plotly VS eScraper

Compare Plotly VS eScraper and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

eScraper logo eScraper

eScraper is an eCommerce data scraping tool that collects data from multiple sites and prepares a relevant .csv or excel file with all product info for your stores, whether its, PrestaShop, Magento, WooCommerce, or Shopify store.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • eScraper Landing page
    Landing page //
    2023-03-13

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

eScraper features and specs

  • Ease of Use
    eScraper offers an intuitive interface that allows users to easily set up and manage their web scraping tasks without needing extensive technical knowledge.
  • Automation Features
    The platform provides automation capabilities that enable users to schedule and run scraping tasks at regular intervals, reducing manual effort.
  • Data Export Options
    eScraper supports multiple data export formats such as CSV, JSON, and Excel, providing flexibility in how users can access and utilize the scraped data.
  • Support and Documentation
    The tool comes with comprehensive support and detailed documentation, aiding users in troubleshooting and making the most of the features available.
  • Customizable Scraping
    Users can customize scraping rules and parameters to extract specific data points from websites, enhancing the tool's adaptability to various use cases.

Possible disadvantages of eScraper

  • Cost
    eScraper may have pricing plans that are not suitable for smaller businesses or individuals, leading to budget concerns.
  • Website Restrictions
    Certain websites may have anti-scraping measures or terms of use that limit the effectiveness or legality of using eScraper on those sites.
  • Technical Limitations
    There might be limitations in handling dynamic content or complex website structures, which could affect the accuracy and completeness of the data collected.
  • Learning Curve
    While user-friendly, there may still be a learning curve for those entirely new to web scraping technologies, requiring time to fully understand all available features.
  • Dependency on Internet Connection
    As a cloud-based service, users need a stable internet connection to use eScraper effectively, which might be a drawback in areas with unreliable connectivity.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

eScraper videos

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

Add video

Category Popularity

0-100% (relative to Plotly and eScraper)
Data Visualization
100 100%
0% 0
Web Scraping
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Data Extraction
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 Plotly and eScraper

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

eScraper Reviews

  1. Ben
    ยท Marketing Manager at Nautoria ยท
    Reliable scraping service.

    Affordable web scraping service. I have googled how to scrape some product data to my WooCommerce store. e-scraper helped me in my case with affordable price.

Social recommendations and mentions

Based on our record, Plotly should be more popular than eScraper. It has been mentiond 34 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.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
View more

eScraper mentions (6)

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What are some alternatives?

When comparing Plotly and eScraper, you can also consider the following products

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

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

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Diggernaut - Web scraping is just became easy. Extract any website content and turn it into datasets. No programming skills required.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Agenty - Machine Intelligence, Web scraping tool