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Data Miner VS dhtmlxPivot

Compare Data Miner VS dhtmlxPivot and see what are their differences

Data Miner

Data Miner is a Google Chrome extension that helps you scrape data from web pages and into a CSV file or Excel spreadsheet.

Rating
0 reviews
Alternatives Is it good?
dhtmlxPivot

dhtmlxPivot is a JavaScript pivot table component for adding fast and data-intensive pivot grids to cross-browser web applications.

Rating
0 reviews
Alternatives Is it good?
HasData
HasData is a top web scraping platform for developers and enterprises. It delivers structured, real-time data from the web using scalable APIs and no-code tools, removing the need to manage proxies, browsers, or anti-bot systems. sponsored
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.

Which is more popular?

Based on our record, Data Miner seems to be more popular. It has been mentioned 7 times since March 2021.

social mentions
7 vs 0
Web Scraping popularity
100% vs 0%
alternatives listed
135 vs 14

Base details

Website, pricing, platforms and company facts side by side.

Data Miner
dhtmlxPivot
Website dataminer.io dhtmlx.com
Pricing
Official pricing
—
Listed in
Web Scraping Data Extraction Data Web Crawling +1
Development Tools Javascript UI Libraries JavaScript Framework

Features and specs

What each product offers, as listed by its team.

Data Miner 7 features
dhtmlxPivot 5 features
  • User-Friendly Interface
    Data Miner offers a clean and intuitive user interface that allows users to easily navigate and set up web scraping tasks without requiring extensive technical knowledge.
  • Browser Extension
    Being available as a browser extension for both Chrome and Edge makes it easy to install and use directly within the browser, without needing separate software installations.
  • Pre-built Recipes
    Data Miner provides a library of pre-built recipes for common web scraping tasks, enabling users to quickly deploy scrapers without starting from scratch.
  • Custom Recipes
    Users have the option to create custom recipes, offering flexibility and the ability to tailor scraping tasks to specific needs.
  • Cloud Storage
    Offers cloud storage options that allow users to save and manage their scraped data directly on the platform for easy access and organization.
  • Export Options
    Supports multiple export formats like CSV, XLS, and Google Sheets, making it easy for users to integrate scraped data with other tools and workflows.
  • Scheduling
    Allows users to schedule scraping tasks, automating the data collection process at specified intervals.

Possible disadvantages

  • Limited Free Tier
    The free version of Data Miner is limited in terms of the number of rows and pages that can be scraped, which may not be sufficient for more extensive data collection needs.
  • Learning Curve
    While the interface is user-friendly, there can still be a learning curve for users unfamiliar with web scraping concepts and the tool itself.
  • Browser Dependence
    As Data Miner is a browser extension, its functionality is limited to the browser environment, which might not be ideal for more complex or large-scale web scraping tasks.
  • Potential Website Restrictions
    Some websites actively prevent scraping activities, which could limit the effectiveness of Data Miner on certain web pages.
  • Subscription Cost
    Advanced features and higher usage requirements necessitate a subscription plan, which may be costly for individual users or small businesses.
  • Reliance on Internet Stability
    As an online tool, its performance can be hindered by poor internet connectivity, potentially disrupting the scraping process.
  • User-Friendly Interface
    dhtmlxPivot provides a highly intuitive and easy-to-use interface that allows users to quickly manipulate and analyze their data without needing extensive technical knowledge.
  • Customization
    The library offers a wide range of customization options, enabling developers to tailor the pivot table to meet specific business needs, including custom data sources, appearance settings, and more.
  • Performance
    dhtmlxPivot is designed for high performance, capable of handling large datasets efficiently, which is crucial for enterprise applications that process significant volumes of data.
  • Integration
    It integrates well with other DHTMLX components and third-party systems, making it a flexible choice for projects that require diverse functionalities.
  • Support
    Users have access to comprehensive documentation and customer support, which can be invaluable for troubleshooting and optimizing the use of the library.

Possible disadvantages

  • Cost
    dhtmlxPivot is a paid product, which might be a constraint for small businesses or individual developers with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, there can be a learning curve involved in mastering all of its features and capabilities, especially for those new to pivot tables.
  • Dependency
    The library is part of the DHTMLX suite, so users might encounter challenges if they need to integrate it with other frameworks outside of this ecosystem.
  • Limited Free Version
    The free version of dhtmlxPivot might come with limitations on features or capacity, which could require an upgrade to a paid version to unlock full capabilities.

Analysis

An editorial look at what each product does well and who it suits.

Data Miner
dhtmlxPivot

Overall verdict

  • Data Miner is generally considered a good tool for individuals and businesses that need to quickly and easily extract large amounts of data from websites without the need for advanced technical skills. It is appreciated for its ease of use and effectiveness in various scenarios.

Why this product is good

  • Data Miner (dataminer.io) is a web scraping tool that allows users to extract data from websites into various formats such as CSV or Excel. It is known for its user-friendly interface and does not require any programming skills, making it accessible to many users. Additionally, it offers a number of ready-made scraping recipes and the ability to create custom ones, adding flexibility to its use.

Recommended for

  • Researchers
  • Marketers
  • Data Analysts
  • Business Professionals
  • Anyone needing to automate data extraction from websites

Overall verdict

  • dhtmlxPivot is a solid, capable JavaScript pivot table component well-suited for developers who need to embed data summarization and analysis features into web applications, offering good performance and integration flexibility, though it's best evaluated against your specific framework and licensing needs.

Why this product is good

  • Fast rendering and handling of large datasets thanks to efficient client-side processing
  • Supports drag-and-drop configuration for rows, columns, filters, and values, similar to Excel-style pivot tables
  • Integrates well with other dhtmlx components (like dhtmlxGrid, dhtmlxChart) for building comprehensive dashboards
  • Offers export options such as Excel and PDF for reporting purposes
  • Cross-browser compatibility and responsive design support
  • Customizable appearance through skins and CSS to match application branding
  • Works with popular frameworks like Angular, React, and Vue via wrapper libraries
  • Backed by an established company (DHTMLX) with ongoing updates and documentation

Recommended for

  • Web developers building business intelligence or analytics dashboards
  • Enterprises needing embeddable data visualization tools within internal applications
  • SaaS products requiring customizable reporting features
  • Teams already using other dhtmlx UI components seeking a consistent ecosystem
  • Projects needing client-side pivot table functionality without heavy backend processing
  • Developers working in JavaScript-based frameworks like Angular, React, or Vue

Videos

Walkthroughs and reviews on video.

Data Miner 1 video + Add
dhtmlxPivot 0 videos + Add

Data Miner 4.0

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Data Miner
dhtmlxPivot
100% 100%
Web Scraping
0% 0%
0% 0%
Development Tools
100% 100%
100% 100%
Data Extraction
0% 0%
0% 0%
Javascript UI Libraries
100% 100%

User comments

Share your experience with using Data Miner and dhtmlxPivot. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Data Miner 7 mentions
dhtmlxPivot 0 mentions

View more

Tracking dhtmlxPivot since Mar 2021.

Alternatives to Data Miner and dhtmlxPivot

When comparing Data Miner and dhtmlxPivot, you can also consider the following products.

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