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Scrap.io VS socketify.py

Compare Scrap.io VS socketify.py and see what are their differences

LeadExec
AI-powered lead distribution software for lead sellers, ping/post marketplaces, and enterprise teams managing real-time routing, buyer management, compliance, and scalable lead delivery. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Scrap.io logo Scrap.io

Scrap.io allows you to scrap Google Maps, get their email, and download leads into a CSV/Excel file. We also provide an API that responds very fast to interact with Google Maps data.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • Scrap.io Landing page
    Landing page //
    2022-11-16
  • socketify.py Landing page
    Landing page //
    2023-09-24

Scrap.io

Website
scrap.io
$ Details
paid Free Trial $49.0 / Monthly (Basic plan)
Platforms
Browser
Release Date
2021 November
Edit details

socketify.py

Website
github.com
$ Details
-
Platforms
-
Release Date
-
Edit details

Scrap.io features and specs

  • Google Maps Scraping
  • API
  • Search by city
  • Search on whole country

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 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

Scrap.io videos

+ Add

Scrap.io: Product Tour

More videos:

  • Review - Scrap.io : nouveautรฉs du 1er novembre 2021

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 Scrap.io and socketify.py)

Scrap.io

socketify.py

Lead Generation
100 100%
Lead Generation
0% 0
Python
0 0%
Python
100% 100
Data Extraction
100 100%
Data Extraction
0% 0
Web Development
0 0%
Web Development
100% 100

User comments

Share your experience with using Scrap.io and socketify.py. For example, how are they different and which one is better?
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Social recommendations and mentions

socketify.py might be a bit more popular than Scrap.io. We know about 2 links to it since March 2021 and only 2 links to Scrap.io. 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.

Scrap.io mentions (2)

  • Google Maps API vs Limits
    I created https://scrap.io if you want a cheaper alternative. Source: about 3 years ago
  • [Hiring] Scrape Google Maps For Businesses Without A Website
    You can check https://scrap.io which can do precisely what you are looking to do. Source: over 3 years ago

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 Scrap.io and socketify.py, you can also consider the following products

Outscraper - Scrape Google Maps Places, Business Reviews, Photos, Play Market Reviews, and more. Get any public data from the internet by applying cutting-edge technologies. Web Tools & API's.

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

Google Maps Scraper by Outscraper - Google Maps Scraper allows you to export all businesses from Google Maps into a CSV/Excel file.

Phantombuster - A marketplace of simple to use no-code APIs

Map Lead Scraper - Level up your business with our ultimate Google Maps Scraper. Export leads, reviews, phone number, email address and social media profiles with ease.

G Maps Extractor - A scraping tool for business leads, one click to extract data from Google Maps search results and export to csv file, includes phone number, email address and social media profiles.

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