Software Alternatives, Accelerators & Startups

Simple Scraper VS socketify.py

Compare Simple Scraper VS socketify.py and see what are their differences

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Simple Scraper logo Simple Scraper

Extract data from any website in seconds โ€” download instantly, scrape in the cloud, or create an API.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • Simple Scraper Landing page
    Landing page //
    2023-08-29

Simple scraper is the easiest way to scrape the web โ€” turn any website into an API in seconds and use ready-made scraping recipes to scrape popular sites with ease.

  • socketify.py Landing page
    Landing page //
    2023-09-24

Simple Scraper

$ Details
freemium $30.0 / Monthly (6,000 credits)
Release Date
2019 November

socketify.py

Website
github.com
Pricing URL
-
$ Details
-
Release Date
-

Simple Scraper features and specs

  • Ease of Use
    SimpleScraper offers a user-friendly interface that allows even those without technical knowledge to easily extract data from websites.
  • Speed
    The tool allows for fast data extraction, reducing the time needed to gather information manually.
  • Automation
    Users can set up automated scraping tasks to run at regular intervals, which is useful for keeping data up-to-date without manual intervention.
  • API Access
    SimpleScraper provides API access, allowing developers to integrate scraping functionality into their own applications seamlessly.
  • Browser Extension
    The tool offers a browser extension, making it convenient to set up scraping tasks directly from the browser.

Possible disadvantages of Simple Scraper

  • Cost
    Advanced features and higher usage limits come with a subscription fee, which may not be feasible for all users.
  • Website Restrictions
    Some websites employ measures to prevent scraping, which may limit the effectiveness of SimpleScraper on such sites.
  • Data Quality
    Automated scraping can sometimes result in incomplete or inaccurate data, requiring manual verification.
  • Learning Curve
    Though designed to be user-friendly, there can still be a learning curve for those completely new to web scraping.
  • Resource Intensive
    Running multiple or complex scraping tasks can be resource-intensive and may affect the performance of your system.

socketify.py features and specs

  • High Performance
    Socketify.py is designed for high scalability and performance, leveraging an efficient event loop and native extensions to handle a large number of concurrent connections efficiently.
  • WebSocket Support
    The library provides built-in support for WebSockets, making it suitable for real-time applications where persistent connections between client and server are necessary.
  • Asynchronous I/O
    Socketify.py is built on top of asynchronous I/O paradigms, allowing non-blocking operations that can improve the throughput of networked applications.
  • Ease of Use
    The library offers a clean and straightforward API with examples and documentation, which lowers the barrier to entry for developers who are new to network programming in Python.
  • Python Integration
    Being a Python library, socketify.py integrates well with existing Python applications and can be included as part of larger, multi-component systems.

Possible disadvantages of socketify.py

  • Limited Adoption
    As a relatively new or niche library, socketify.py might have a smaller user base and community compared to more established frameworks like Flask or Django, which could result in fewer community resources and third-party integrations.
  • Learning Curve
    For developers who are accustomed to synchronous programming paradigms, adapting to the asynchronous programming model of socketify.py may require an initial learning investment.
  • Documentation Depth
    While there is documentation, it might not be as extensive or comprehensive as those of more mature libraries, potentially requiring more experimentation or source code reading to fully grasp advanced features.
  • Potential Stability Issues
    Being less established, there might be undiscovered bugs or stability issues in production environments compared to long-standing Python networking libraries.
  • Ecosystem Limitations
    The library might lack some of the extensive third-party plugins or tools available in more popular frameworks, which could limit its extensibility.

Analysis of Simple Scraper

Overall verdict

  • Overall, Simple Scraper is a reliable and effective web scraping tool that balances ease of use with powerful features. It is well-suited for both beginners and experienced users seeking a quick and straightforward solution for extracting data from the web.

Why this product is good

  • Simple Scraper is considered a good tool primarily due to its combination of user-friendly design and robust functionality. It allows users without extensive technical skills to easily scrape data from websites with its visual point-and-click interface. Additionally, it offers features like scheduling, API access, and integration options that cater to more advanced use cases. The platform's flexibility and efficiency make it a suitable choice for many data scraping projects.

Recommended for

  • Individuals or businesses looking for a no-code solution to web scraping.
  • Marketers and researchers needing to extract and analyze web data.
  • Developers who want an API-accessible scraping solution.
  • Users who require scheduling capabilities to automate the data collection process.

Analysis of socketify.py

Overall verdict

  • Socketify.py is a solid choice for developers seeking a high-performance web framework in Python, particularly for I/O-bound applications requiring speed comparable to frameworks in compiled languages, thanks to its use of uWebSockets under the hood.

Why this product is good

  • Built on uWebSockets, providing significant performance improvements over traditional Python web frameworks
  • Supports WebSockets natively, making it suitable for real-time applications
  • Lightweight and minimalistic design reduces overhead
  • Compatible with ASGI, allowing integration with existing Python async ecosystem
  • Active development and growing community support on GitHub
  • Good for building high-throughput APIs and services

Recommended for

  • Developers building real-time applications like chat apps or live notifications
  • Projects requiring high concurrency and low latency in Python
  • Teams looking to replace slower WSGI-based frameworks with something faster
  • Applications needing WebSocket support without heavy framework overhead
  • Microservices architectures where performance is critical
  • Python developers wanting an alternative to Node.js for performance-sensitive tasks

Simple Scraper videos

Super Simple Scraper Review

More videos:

  • Review - Super Simple Scraper RevieW
  • Review - Scraping with Simple Scraper in under 30 seconds

socketify.py videos

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

Add video

Category Popularity

0-100% (relative to Simple Scraper and socketify.py)
Web Scraping
100 100%
0% 0
Python
0 0%
100% 100
Data Extraction
100 100%
0% 0
Web Development
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Simple Scraper seems to be a lot more popular than socketify.py. While we know about 22 links to Simple Scraper, we've tracked only 2 mentions of socketify.py. 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.

Simple Scraper mentions (22)

  • Ask HN: What Are You Working On? (March 2026)
    Data extraction: https://simplescraper.io A project that I launched on HN that became a business. Simplescraper rode the no-code wave of a few years back ('instant structured data without parsing html'). Now working on increasing the surface area for AI agents: MCP support, screenshots API, and (experimentally) x402^ ^ https://simplescraper.io/blog/x402-payment-protocol/. - Source: Hacker News / 5 months ago
  • Scraperr โ€“ A Self Hosted Webscraper
    1. Clicking the box programmatically โ€“ possible but inconsistent 2. Outsourcing the task to one of the many CAPTCHA-solving services (2Captcha etc) โ€“ better 3. Using a pool of reliable IP addresses so you don't encounter checkboxes or turnstiles โ€“ best I run a web scraping startup (https://simplescraper.io) and this is usually the approach. It has become more difficult, and I think a lot of the AI crawlers are... - Source: Hacker News / over 1 year ago
  • Ask HN: What Are You Working On? (October 2024)
    Making my data extraction Saas (https://simplescraper.io) more LLM friendly. Markdown extraction, improved Google search, workflows - search for this terms, visit the first N links, summarize etc. Big demand for (or rather, expectation of) this lately. - Source: Hacker News / almost 2 years ago
  • The Architecture Behind a One-Person Tech Startup
    Things are much easier for one-person startups these daysโ€”it's a gift. I remember building a todo app as my first SaaS project, and choosing something called Stormpath for authentication. It subsequently shut down, forcing me to do a last-minute migration from a hostel in Japan using Nitrous Cloud IDE (which also shut down). Just pain upon pain.[1] Now, you can just pick a full-stack cloud service and run with it.... - Source: Hacker News / about 2 years ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Simplescraper โ€” Trigger your webhook after each operation. The free plan includes 100 cloud scrape credits. - Source: dev.to / over 2 years ago
View more

socketify.py mentions (2)

  • Show HN: Python framework is faster than Golang Fiber
    These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
  • This is how I started the development of the fastest ASGI and WSGI Server in TechEmPower Benchmarks
    After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago

What are some alternatives?

When comparing Simple Scraper and socketify.py, you can also consider the following products

Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.

Diggernaut - Web scraping is just became easy. Extract any website content and turn it into datasets. No programming skills required.

Scraper API - Scale Data Collection with a Simple API.

Agenty - Machine Intelligence, Web scraping tool

eScraper - eScraper is an eCommerce data scraping tool that collects data from multiple sites and prepares a relevant .csv or excel file with all product info for your stores, whether its, PrestaShop, Magento, WooCommerce, or Shopify store.

Crawlbase - A Platform for Data Crawling and Scraping For Business Developers