Software Alternatives & Startups

Web Data Extractor VS Data Analytic System

Compare Web Data Extractor VS Data Analytic System and see what are their differences

Web Data Extractor

Web Data Extractor is a website scraping application that lets you collect multiple types of data such as e-mails, phone numbers, social media profiles, links, geo-locations, etc., from any website.

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0 reviews
Data Analytic System

Sourced crypto market data with indicator monitoring, market regime context and research. BTC, ETH, XRP, SOL + major indices monitored 24/7. Educational content — not investment advice.

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0 reviews
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?

Office & Productivity popularity
100% vs 0%
alternatives listed
31 vs 6

Base details

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

Web Data Extractor
Data Analytic System
Website atom.com dataanalyticsystem.com
Pricing —
Platforms —
Web
Company — Startup from Hungary
Listed in

About Web Data Extractor and Data Analytic System

In their own words, as submitted to SaaSHub.

Web Data Extractor
Data Analytic System

No description of Web Data Extractor yet.

Data Analytic System (DAS) is an educational crypto-market platform run by Data Analytic Investments Kft. (Budapest, EU). What it offers: - Live, sourced market-data dashboards for BTC, ETH, XRP, SOL and other major assets, plus equity indices, FX and commodities - A MiCA / CASP authorisation...

Read more about Data Analytic System

Features and specs

What each product offers, as listed by its team.

Web Data Extractor 5 features
Data Analytic System 6 features
  • Efficient Data Extraction
    Web Data Extractor can efficiently extract data from various formats, including HTML, XML, JSON, and more, making it versatile for different needs.
  • User-Friendly Interface
    The software features an intuitive and easy-to-use interface, allowing users to quickly navigate and use the tool without needing extensive technical knowledge.
  • Automation Capabilities
    Offers automation features that allow users to schedule and automate data extraction tasks, saving time and minimizing manual effort.
  • Customizable Extraction
    Provides customization options for data scraping tasks, enabling users to tailor the data extraction process according to their specific requirements.
  • Broad Compatibility
    Supports extraction from a wide range of websites due to its robust compatibility with various web tools and standards.

Possible disadvantages

  • Cost
    The full version of Web Data Extractor might be expensive for individual users or small businesses, as it can involve a substantial investment.
  • Steep Learning Curve
    Despite having a user-friendly interface, some advanced features may require a steep learning curve for users unfamiliar with data extraction tools.
  • Dependency on Internet Connection
    The tool requires a strong and stable internet connection to effectively carry out web scraping tasks, which can be a constraint in areas with poor connectivity.
  • Potential Legal Issues
    Web scraping with this tool can run into legal issues if not conducted in compliance with website terms of service and data protection laws.
  • Risk of IP Blocking
    Frequent or aggressive data extraction could lead to IP blocking from websites, hampering the data collection process.
  • Live market data
    Crypto, equity indices, FX and commodities — every panel names its source and date
  • MiCA / CASP tracker
    EU exchange authorisation status based on ESMA registers
  • Market Observation Pro
    20 custom price levels, CSV and JSON export (free tier: same data, no delay)
  • Learning modules and glossary
    8 free modules, free glossary, Kripto Akademia (50 assets, 12 categories)
  • Documentary studies and e-books
    RIPPLE study with sourced claims; PDF + audiobook; EN, HU, ES
  • Languages
    Site in English and Hungarian; books in EN, HU, ES

Videos

Walkthroughs and reviews on video.

Web Data Extractor 2 videos + Add
Data Analytic System 2 videos + Add

LABS 4 Extracting a Company's Data Using Web Data Extractor REVIEW

More videos

  • - Extract Data From Webpage using Web Data Extractor

The Analyst Room — Ep. 2: RIPPLE, the book. 22 chapters, 4 languages, PDF + audiobook

More videos

  • - The Analyst Room Podcast — Episode 1: One person, four AI systems, and how the site actually works

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
Web Data Extractor
Data Analytic System
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Web Data Extractor and Data Analytic System.

Why should a person choose your product over its competitors?

Data Analytic System's answer:

Price trackers like CoinGecko or CoinMarketCap show numbers; Data Analytic System shows the numbers together with their source, date and context, and adds what trackers do not: an ESMA-based MiCA/CASP status list for EU exchanges, sourced documentary studies, a free glossary and learning modules, and multilingual e-books (EN, HU, ES). The free tier has no delay and the same data as the paid tier. We do not sell trading calls or recommendations of any kind.

What makes your product unique?

Data Analytic System's answer:

Every data panel and every article names its source and date. The platform is run by a small Budapest-based publisher (Data Analytic Investments Kft.) and combines live market data for crypto, equity indices, FX and commodities with an EU MiCA/CASP authorisation tracker, a free glossary and learning modules, and documentary studies such as the RIPPLE book, in which every factual claim carries a verifiable reference. Content is produced with a documented human+AI verification workflow (Uncle Sunny method): a human editor closes every item. Educational content only, not investment advice.

How would you describe the primary audience of your product?

Data Analytic System's answer:

People who want to understand crypto and macro markets rather than be told what to do: self-directed readers, students, journalists and compliance-minded professionals in the EU, plus Hungarian- and Spanish-speaking readers who lack sourced material in their language. Typical use: checking a data point with its source, reading the MiCA status of an exchange, or working through a learning module.

What's the story behind your product?

Data Analytic System's answer:

Data Analytic Investments Kft. was founded in Budapest in 2026 by Janos Szabo. The starting point was frustration with crypto content that mixes facts, opinion and promotion without references. The answer was a publishing method (Uncle Sunny) in which nothing is published before it is challenged and sourced, and a site built around that rule. The first flagship product was the RIPPLE documentary study (ISBN 978-615-83207 series, HU/EN/ES); the market-data dashboards, the MiCA tracker and the learning sections followed.

Which are the primary technologies used for building your product?

Data Analytic System's answer:

A TypeScript/React web application with server-side rendering, a MySQL database, and Stripe for payments. Market data comes from public exchange and data-provider APIs; regulatory data from ESMA registers. The editorial workflow uses several AI systems under human review, with every published claim tied to a named source.

User comments

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