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ParseHub VS DataMelt

Compare ParseHub VS DataMelt and see what are their differences

ParseHub

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

Rating
0 reviews
Promote on VibeVoted
Alternatives Is it good?
DataMelt

DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.

Rating
5.0 · 1 review
Pricing
Open source Freemium Free trial
Promote on VibeVoted
Alternatives Is it good?
Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI 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, ParseHub seems to be more popular. It has been mentioned 3 times since March 2021.

social mentions
3 vs 0
Web Scraping popularity
100% vs 0%
alternatives listed
224 vs 44

Base details

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

ParseHub
DataMelt
Website parsehub.com datamelt.org
Pricing —
Open source Freemium Free trial
Platforms —
Linux Windows Mac OSX Java Cross Platform +2
Company — 2020
Listed in
Web Scraping Data Extraction Data Web Crawling +1
Technical Computing Numerical Computation Data Dashboard Machine Data Analytics Statistics Data Visualization Predictive Analytics +4

About ParseHub and DataMelt

In their own words, as submitted to SaaSHub.

ParseHub
DataMelt

No description of ParseHub yet.

DataMelt is a Java program for statistics, general data analysis and data visualization. The program is often termed "computational platform" since it can be used with different programming languages (Java, Python, Groovy..). DataMelt is not limited to a single programming language. The...

Read more about DataMelt

Features and specs

What each product offers, as listed by its team.

ParseHub 7 features
DataMelt 5 features
  • User-friendly Interface
    ParseHub offers a point-and-click interface that makes it easy for users to extract data from websites without needing any coding skills.
  • Advanced Features
    The tool supports complex data extraction tasks, including handling AJAX, JavaScript, infinite scroll, forms, and CAPTCHA.
  • Cross-platform Compatibility
    ParseHub is available as a web app and a desktop application, making it accessible on multiple operating systems.
  • API Integration
    ParseHub provides an API that allows for easy integration with other applications, enabling automated data extraction workflows.
  • Schedule and Automate
    Users can schedule their data extraction tasks to run at specific intervals, which is useful for keeping datasets up-to-date.
  • Cloud Storage
    Extracted data is stored in the cloud, allowing easy access and management of large datasets without consuming local storage resources.
  • Free Tier
    ParseHub offers a free tier that allows users to perform a limited number of data extraction tasks, suitable for small projects or initial testing.

Possible disadvantages

  • Learning Curve for Complex Tasks
    While the basic interface is user-friendly, advanced data extraction tasks may require a steep learning curve to master.
  • Monthly Limits
    The free tier and lower-tier plans have limits on the number of tasks and the amount of data that can be extracted per month, which could constrain heavy users.
  • Pricing
    Higher-tier plans can become expensive, especially for businesses that require extensive data extraction capabilities.
  • Performance Issues
    Users have reported occasional performance issues and bugs when dealing with very large or complex websites, which can affect the reliability of the data extraction processes.
  • Limited Export Formats
    While ParseHub supports common formats like CSV, JSON, and Excel, it lacks support for some specialized or less common file formats.
  • Customer Support
    Some users have reported that customer support can be slow to respond to issues, which could be problematic for time-sensitive projects.
  • Privacy Concerns
    Since the data extraction occurs on ParseHub's servers, there could be privacy concerns related to the handling of sensitive or proprietary data.
  • Versatility
    DataMelt supports a wide range of programming languages including Java, Jython, Groovy, and JRuby, making it versatile for users familiar with different coding environments.
  • Rich Libraries
    It offers a comprehensive set of scientific libraries for numerical computation, data analysis, and visualization, which can be beneficial for complex scientific research and data processing tasks.
  • Cross-Platform
    DataMelt is platform-independent, running on any operating system that supports Java, such as Windows, macOS, and Linux. This makes it accessible to a wide audience.
  • Integrated Development Environment
    DataMelt provides a powerful IDE that integrates coding, plotting, and visualization tools, streamlining the workflow for developers and researchers.
  • Free and Open Source
    The core functionality of DataMelt is available for free, which can be appealing to individuals and organizations looking for budget-friendly computational tools.

Analysis

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

ParseHub
DataMelt

Overall verdict

  • ParseHub is generally a reliable and effective tool for web scraping purposes. Its ease of use and powerful features make it a strong choice for both beginners and experienced data analysts. However, users should be aware of potential limitations regarding speed and handling extremely large-scale data scraping tasks.

Why this product is good

  • ParseHub is considered a good tool due to its versatility in web scraping without requiring extensive programming knowledge. It provides a user-friendly interface that allows users to automate data extraction tasks from websites. Additionally, it supports complex website structures and can handle dynamic content and JavaScript-driven sites.

Recommended for

    ParseHub is recommended for business analysts, data scientists, researchers, and anyone who needs to extract data from websites regularly but does not wish to dive deeply into coding. It's also a good option for individuals or small businesses looking to gather market research, product pricing information, or other competitive intelligence from web sources.

No analysis of DataMelt yet.

Videos

Walkthroughs and reviews on video.

ParseHub 2 videos + Add
DataMelt 0 videos + Add

ParseHub Tutorial: Scrape Ratings and Reviews from a Website

More videos

  • - ParseHub Tutorial: Scraping Product Details from Amazon

No DataMelt 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
ParseHub
DataMelt
100% 100%
Web Scraping
0% 0%
0% 0%
Technical Computing
100% 100%
100% 100%
Data Extraction
0% 0%
0% 0%
Office & Productivity
100% 100%

Questions & Answers

As answered by people managing ParseHub and DataMelt.

How would you describe the primary audience of your product?

DataMelt's answer:

students and data scientists

What's the story behind your product?

DataMelt's answer:

DataMelt has its roots in particle physics where data mining is a primary task. It was created as Software:jHepWork project in 2005 and it was initially written for data analysis for particle physics.

What makes your product unique?

DataMelt's answer:

Multiplatform. Supports multiple programming languages: Java, Python (Jython), Groovy, Ruby

Why should a person choose your product over its competitors?

DataMelt's answer:

Large database of examples and code snippets https://datamelt.org/code/

Who are some of the biggest customers of your product?

DataMelt's answer:

Students at universities and data scientists.

Which are the primary technologies used for building your product?

DataMelt's answer:

Java (JDK any new new release including JDK20)

User comments

Share your experience with using ParseHub and DataMelt. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

ParseHub no reviews yet
DataMelt 5.0 · 1 review
  • Best Data Scraping Tools
    pamelaewallaceu.medium.com · May 2021

    Parsehub is a fantastic tool for people who want to extract data from websites without coding. It is used widely by data analysts, journalists, data scientists, and many fields. Parse Hub is easier to use; you can...

  • Great 3D graphics
    SaaSHub review
    · Dec 2019

    I like this DataMelt analysis program since it has many 2D/3D visualisation and a massive number of practical examples

Social recommendations and mentions

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

ParseHub 3 mentions
DataMelt 0 mentions
  • Home Depot price data using IMPORTXML?
    I've heard some folks have success with "parsehub.com", though I once tried it for a project and found it a bit intimidating... Source: almost 5 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Parsehub.com — Extract data from dynamic sites, turn dynamic websites into APIs, 5 projects free. - Source: dev.to / over 5 years ago
  • Turn any website into an API with no code
    Parsehub is a powerful web scraping GUI tool for efficient fetching and manipulating data from any webpage. It helps you create an API output for a given website. You can even sanitize your content by using regex or replace function.... - Source: dev.to / over 5 years ago

Tracking DataMelt since Mar 2021.

Alternatives to ParseHub and DataMelt

When comparing ParseHub and DataMelt, you can also consider the following products.

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