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iPython VS HasData

Compare iPython VS HasData and see what are their differences

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iPython logo iPython

iPython provides a rich toolkit to help you make the most out of using Python interactively.

HasData logo 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.
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  • iPython Landing page
    Landing page //
    2021-10-07
  • HasData Landing page
    Landing page //
    2025-10-09
  • HasData HasData API's Playground
    HasData API's Playground //
    2025-10-09
  • HasData HasData No-Code Scrapers
    HasData No-Code Scrapers //
    2025-10-09

HasData is one of the best web scraping API platforms built for performance, stability, and scale. It delivers enterprise-grade APIs built for speed, reliability, and accuracy. Businesses that depend on live search data, competitive intelligence, and public web data trust HasData for its consistent performance and transparent infrastructure.

The HasData SERP API is one of the fastest and most reliable on the market. It processes millions of requests per hour with a median latency around 1.75 seconds, providing clean and complete Google Search results without dealing with captchas, proxy management, or rotating browser setups. HasDataโ€™s infrastructure scales horizontally across self-managed Kubernetes clusters to ensure zero downtime during heavy traffic bursts or sustained data-collection workloads.

The HasData Web Scraping API goes beyond search. It provides a unified, resilient system that handles complex scraping tasks automatically โ€” covering dynamic pages, anti-bot protection, and JavaScript rendering. Developers get structured JSON results instantly, with no need to handle HTML parsing, headless browsers, or maintenance overhead.

HasData offers a broad range of specialized APIs, covering key platforms including Google Maps, Zillow, Amazon, Indeed, and many more. Each API is designed for production-level use cases where uptime, precision, and response speed matter more than anything else. Whether for SEO monitoring, price intelligence, lead generation, or market analytics, HasData removes the technical pain points so teams can focus on data, not scraping infrastructure.

For companies that require the best scraping performance without operational risk, HasData is a proven choice. It combines real-time data extraction power, consistent reliability, and developer-friendly APIs to support everything from startups to large enterprises running millions of daily requests.

iPython

Pricing URL
-
$ Details
-
Platforms
-

HasData

$ Details
Free Trial $49.0 / Monthly (Up to 200,000 Requests | 15 concurrent requests)
Platforms
Cloud Web Python Node JS PHP Go Zapier Browser
Startup details
Country
United States
State
TX
City
HOUSTON
Founder(s)
Roman Miliushkevich, Sergey Ermakovich
Employees
10 - 19

iPython features and specs

  • Interactive Computing
    IPython provides a rich toolkit to help you make the most out of using Python interactively. This includes powerful introspection, rich media display, session logging, and more.
  • Ease of Use
    IPython includes features like syntax highlighting, tab completion, and easy access to the help system, which make writing and understanding code easier for users.
  • Rich Display System
    It supports rich media like images, videos, LaTeX, and HTML, making it very useful for data visualization and educational purposes.
  • Extensibility
    IPython is highly extensible and can be customized with a range of plugins, extensions, and different backends to suit various needs.
  • Enhanced Debugging
    It features enhanced debugging capabilities, including an improved traceback support and better handling of exceptions.

Possible disadvantages of iPython

  • Learning Curve
    For beginners, the extensive feature set of IPython may be overwhelming and have a steep learning curve.
  • Resource Intensive
    IPython, particularly Jupyter notebooks, can be resource-intensive, leading to slow performance on large datasets or complex computations.
  • Dependency Management
    Managing dependencies can be challenging, especially when using multiple packages in the same environment, which can lead to conflicts.
  • Limited IDE Features
    While IPython has many interactive features, it lacks some of the more advanced IDE features such as comprehensive code refactoring tools and integrated version control.
  • Exporting and Sharing
    Although you can export notebooks in various formats, sharing them in a way that preserves full interactivity can be complex compared to traditional scripts.

HasData features and specs

  • Sub-2s Median Latency
    Every API request completes in about 2.1 seconds on average, even under high load.
  • 99.9% uptime SLA
    Stay online with highly reliable servers, automated failover, and 24/7 infrastructure monitoring.
  • Up to 10M Requests/Hour
    Handle massive scraping operations with infrastructure built to support 10 million hourly API calls.
  • 100M+ Proxies
    Access hundreds of millions rotating IPs for global coverage and unblockable data collection.
  • JavaScript Rendering
    Extract content from dynamic, JavaScript-heavy websites without manual browser emulation.
  • Auto-Retry & Failover
    Built-in error handling and retries ensure high success rates even under volatile network conditions.
  • Clean Structured Output
    Deliver consistent, parsed JSON with metadata, images, text, listings, and links.
  • Full Anti-Bot Protection
    Bypasses Cloudflare, Datadome, and Akamai automatically โ€” no proxy rotation or browser setup required.
  • Easy Integration
    Connect in minutes using clear API documentation, SDKs, and straightforward REST architecture.

Analysis of iPython

Overall verdict

  • Yes, iPython is highly regarded for its flexibility, powerful features, and ability to enhance productivity in data analysis and scientific computing. It serves as an integral tool for many professionals in technical fields.

Why this product is good

  • iPython, which forms the backbone of the Jupyter ecosystem, is favored for its interactive capabilities, integration with various data science libraries, and support for visualizations. It allows seamless execution of code in a web-based environment, making it highly effective for experiments, rapid prototyping, and sharing insights.

Recommended for

  • Data Scientists
  • Researchers
  • Educators
  • Software Developers
  • Anyone interested in interactive and exploratory computing

Analysis of HasData

Overall verdict

  • HasData is a solid web scraping and data extraction platform that offers reliable APIs and tools for collecting structured data from websites, making it a good choice for businesses and developers needing scalable data solutions.

Why this product is good

  • Provides ready-to-use scraping APIs that handle proxies, CAPTCHAs, and JavaScript rendering automatically
  • Offers scalable infrastructure suitable for both small projects and large-scale data extraction needs
  • Supports structured data output formats like JSON and HTML for easy integration
  • Includes documentation and developer-friendly tools to speed up implementation
  • Handles anti-bot measures so users can focus on data rather than infrastructure

Recommended for

  • Developers building applications that require automated web data collection
  • Businesses conducting market research and competitor price monitoring
  • E-commerce companies tracking product data and reviews
  • Data analysts and researchers gathering large datasets from the web
  • SEO professionals monitoring search engine results and rankings

Category Popularity

0-100% (relative to iPython and HasData)
Text Editors
100 100%
0% 0
Data Extraction
0 0%
100% 100
Python IDE
100 100%
0% 0
Web Scraping
0 0%
100% 100

Questions & Answers

As answered by people managing iPython and HasData.

What makes your product unique?

HasData's answer:

HasData combines high-speed infrastructure with intelligent web data extraction. Its APIs handle JavaScript rendering, IP rotation, and anti-bot bypassing at scaleโ€”without requiring additional tooling. Developers can integrate once and retrieve clean, reliable data instantly.

Why should a person choose your product over its competitors?

HasData's answer:

Choose HasData for performance, reliability, and simplicity. Its APIs deliver fast response times, high accuracy, and zero hidden limits. The platform is built for real-world scrapingโ€”resilient under load, stable in production, and trusted by high-volume users.

How would you describe the primary audience of your product?

HasData's answer:

HasData serves developers, data engineers, and businesses that need scalable, automated access to public web data. These users build tools, analytics platforms, and competitive intelligence systems powered by structured, real-time information.

What's the story behind your product?

HasData's answer:

HasData was created to eliminate the complexity of large-scale web scraping. Frustrated by fragile scripts, unreliable proxies, and blocked requests, the founders built a unified platform that turns scraping into a dependable API service.

Which are the primary technologies used for building your product?

HasData's answer:

HasData runs on a distributed infrastructure using Golang, Python, and Node.js. It leverages headless Chromium for rendering, Kubernetes for scaling, and global IP rotation systems for reliable data extraction across regions.

Who are some of the biggest customers of your product?

HasData's answer:

HasData serves leading companies in SEO, digital marketing, cybersecurity, and content intelligence. These clients rely on HasData to power large-scale data collection, competitive analysis, plagiarism detection, and local search insightsโ€”handling millions of requests per day without service disruption.

User comments

Share your experience with using iPython and HasData. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, iPython seems to be more popular. It has been mentiond 20 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.

iPython mentions (20)

  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
  • Modern Python REPL in Emacs using VTerm
    As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, Iโ€™m currently in the process of getting my โ€œnewโ€ python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython donโ€™t jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago
  • Wanting to learn how to code, but completely lost.
    Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: over 3 years ago
  • IJulia: The Julia Notebook
    IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago
  • How to "end" a loop in the REPL?
    Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago
View more

HasData mentions (0)

We have not tracked any mentions of HasData yet. Tracking of HasData recommendations started around Oct 2025.

What are some alternatives?

When comparing iPython and HasData, you can also consider the following products

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Apify - Apify is a web scraping and automation platform that can turn any website into an API.

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

ScrapingBee - ScrapingBee is a Web Scraping API that handles proxies and Headless browser for you, so you can focus on extracting the data you want, and nothing else.

Spyder - The Scientific Python Development Environment

Zyte - We're Zyte (formerly Scrapinghub), the central point of entry for all your web data needs.