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DataMelt VS Scraper API

Compare DataMelt VS Scraper API and see what are their differences

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?
Scraper API

Scale Data Collection with a Simple API.

Rating
5.0 · 1 review
Pricing
Paid Free trial $49 / Monthly (100,000 API Credits)
Promote on VibeVoted
Alternatives Is it good?
ANNA For Creators
Chatting & Selling Automation for OnlyFans. ANNA handles objections, spots buyers, and closes more sales, so you can scale without limits. Cheaper than a human team, and sells better, detect and take care of each whales on your account. 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, Scraper API seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
0 vs 1
user rating
5.0 vs 5.0
Technical Computing popularity
100% vs 0%
alternatives listed
44 vs 240+

Base details

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

DataMelt
Scraper API
Website datamelt.org scraperapi.com
Pricing
Open source Freemium Free trial
Paid Free trial $49 / Monthly (100,000 API Credits) Official pricing
Platforms
Linux Windows Mac OSX Java Cross Platform +2
—
Company 2020 —
Listed in
Technical Computing Numerical Computation Data Dashboard Machine Data Analytics Statistics Data Visualization Predictive Analytics +4
Web Scraping SEO Data Extraction Data Collection Automation Proxy Server Residential Proxies +4

About DataMelt and Scraper API

In their own words, as submitted to SaaSHub.

DataMelt
Scraper API

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

ScraperAPI is a powerful and efficient web scraping API and tool designed to empower developers, data scientists, and businesses with reliable data extraction at scale. Our robust proxy API for web scraping simplifies web scraping, ensuring consistent access to vital web data without the...

Read more about Scraper API

Features and specs

What each product offers, as listed by its team.

DataMelt 5 features
Scraper API 6 features
  • 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.
  • Proxy API for Web Scraping
    Access global data sources without getting blocked. Our intelligent system dynamically manages proxies, ensuring a smooth and uninterrupted data flow for your web scraping tool needs.
  • Automatic CAPTCHA Handling
    Say goodbye to manual CAPTCHA solving. ScraperAPI automatically handles CAPTCHAs, allowing for continuous and efficient scraping.
  • Headless Browser JavaScript Rendering
    Extract data from complex, dynamic websites with our built-in rendering engine and browser interaction capabilities. Perfect for scraping modern, JavaScript-heavy sites.
  • Highly Scalable Infrastructure
    Handle millions of asynchronous requests with our robust and efficient infrastructure. Whether you're scraping a few pages or millions, we've got you covered.
  • Developer-Friendly Integration
    Seamlessly integrate ScraperAPI into your projects using Python, Node.js, or any other programming language. Our intuitive API and comprehensive documentation make integration a breeze.
  • Enhanced Security & Compliance
    ScraperAPI prioritizes data security and compliance. We adhere to industry best practices, including data encryption and secure proxy management, ensuring your scraping operations remain secure and compliant with relevant regulations.

Possible disadvantages

  • Cost
    While ScraperAPI offers a free tier, the cost can become significant for larger projects as the pricing increases with the number of requests, which might not be cost-effective for very high volume scraping operations.
  • Rate Limits
    Even on the higher-tier plans, there are rate limits that could potentially hamper scraping tasks if the volume is extremely high or if the project requires real-time data extraction at a rapid pace.
  • Data Privacy Concerns
    Using a third-party service for scraping can raise data privacy concerns, particularly for sensitive or proprietary information, as data passes through an external server.
  • Dependency on External Service
    Relying on an external service like ScraperAPI introduces a dependency that could affect your operations if the API experiences downtime or if there are changes in the service terms.
  • Limited Customization
    While ScraperAPI simplifies many aspects of web scraping, it may not offer the same level of customization and control as developing a custom scraping solution tailored to specific needs.

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
DataMelt
Scraper API
100% 100%
Technical Computing
0% 0%
0% 0%
Web Scraping
100% 100%
100% 100%
Office & Productivity
0% 0%
0% 0%
Data Extraction
100% 100%

Questions & Answers

As answered by people managing DataMelt and Scraper API.

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 DataMelt and Scraper API. 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.

DataMelt 5.0 · 1 review
Scraper API 5.0 · 1 review
  • 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

  • Best Data Scraping Tools
    pamelaewallaceu.medium.com · May 2021

    Scraper API deals with proxies, browsers, CAPTCHAS; thus you can get the raw HTML at any time from any website.

  • Rated 5/5 by Hasan
    SaaSHub review
    · Dec 2019

    We are using Scraper API more than 6 months. The product is very effective and we integrate it into our SaaS software.

Social recommendations and mentions

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

DataMelt 0 mentions
Scraper API 1 mention

Tracking DataMelt since Mar 2021.

Alternatives to DataMelt and Scraper API

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