Software Alternatives, Accelerators & Startups

FastAPI VS ScrapeHunt

Compare FastAPI VS ScrapeHunt and see what are their differences

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.

FastAPI logo FastAPI

FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

ScrapeHunt logo ScrapeHunt

Get a scraped database in 60 seconds
  • FastAPI Landing page
    Landing page //
    2023-05-14
  • ScrapeHunt Landing page
    Landing page //
    2021-09-22

FastAPI features and specs

  • High Performance
    Built on Starlette and Pydantic, FastAPI is one of the fastest frameworks for Python, providing high performance due to its asynchronous request handling.
  • Automatic Interactive API Documentation
    FastAPI automatically generates interactive API documentation via Swagger UI and ReDoc, which are very helpful for development and testing.
  • Type Checking and Validation
    With Pydantic models and Python type hints, FastAPI provides automatic data validation and type checking, reducing the chance of runtime errors.
  • Ease of Use
    Its syntax and design make it easy to learn for Python developers, offering a smooth development experience while reducing boilerplate code.
  • Asynchronous Support
    FastAPI supports asynchronous programming, allowing for better performance for I/O-bound operations, making it optimal for handling many simultaneous connections.
  • Extensive Documentation
    It has comprehensive and well-structured documentation, which is very useful for both beginners and advanced users.
  • Community and Ecosystem
    FastAPI has a growing community and ecosystem, with many plugins and integrations available to extend its functionality.

Possible disadvantages of FastAPI

  • Learning Curve for Asynchronous Programming
    Although FastAPI itself is easy to learn, grasping the concepts of asynchronous programming in Python can be challenging for beginners.
  • Complex Dependencies
    Using Pydantic for advanced validation can make the request models complex, requiring a deeper understanding of Pydantic and its functionalities.
  • Early Stage Libraries
    Some third-party libraries and extensions specifically tailored for FastAPI might still be in early stages of development and lack long-term stability.
  • Limited Real-World Examples
    Although the documentation is extensive, there might be limited real-world examples and case studies readily available compared to more mature frameworks.
  • Deployment Complexity
    Deploying FastAPI applications might be more complex in comparison to traditional synchronous frameworks, mainly due to the need for asynchronous server setups.

ScrapeHunt features and specs

  • Ease of Use
    ScrapeHunt offers a straightforward interface and user-friendly experience, making it accessible for users with varying levels of technical expertise.
  • Pre-Built Scrapers
    The service provides a repository of pre-built scrapers for various use cases, which can save significant time compared to creating scrapers from scratch.
  • Scalability
    ScrapeHunt is designed to handle large-scale scraping tasks, making it suitable for businesses needing to extract vast amounts of data.
  • API Integration
    The platform offers robust API support, allowing easy integration with other tools and systems for seamless data flow.
  • Customer Support
    ScrapeHunt provides responsive customer support to assist users with any issues or questions that may arise while using the service.
  • Regular Updates
    The platform frequently updates its scraping technology to adapt to changes in website structures and improve performance.

Possible disadvantages of ScrapeHunt

  • Cost
    ScrapeHunt can be relatively expensive, especially for smaller businesses or individual users who may find the pricing prohibitive.
  • Limited Flexibility
    While pre-built scrapers are convenient, they may not cover all niche scraping needs, requiring custom development for specific tasks.
  • Learning Curve
    Some users might still face a learning curve when trying to fully utilize the platform's capabilities, despite its user-friendly design.
  • Data Privacy
    Using a third-party scraping service involves sharing potentially sensitive information, which could raise concerns over data privacy and security.
  • Dependency
    Relying on an external service for web scraping can create dependency issues; any downtime or service changes on ScrapeHunt's side can directly impact users' operations.

FastAPI videos

FastAPI from the ground up

More videos:

  • Tutorial - 30 Days of Python - Day 14 - Web App with Flask, FastAPI, ngrok, and Invictify - Python TUTORIAL
  • Review - [PT] Python - API com FastAPI - Chat | twitch.tv/codeshow

ScrapeHunt videos

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

Add video

Category Popularity

0-100% (relative to FastAPI and ScrapeHunt)
Developer Tools
100 100%
0% 0
Web Scraping
0 0%
100% 100
Web Frameworks
100 100%
0% 0
Data Extraction
0 0%
100% 100

User comments

Share your experience with using FastAPI and ScrapeHunt. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare FastAPI and ScrapeHunt

FastAPI Reviews

The 20 Best Laravel Alternatives for Web Development
FastAPI, as the name hints, is a swift mover. Built on Starlette, it’s all about speed and performance with Python. Crafting API masterpieces at the speed of light, now that’s something.
25 Python Frameworks to Master
Since its release in 2018, it has rapidly gained popularity due to its great performance and simplicity. In fact, according to PyPi Stats, FastAPI has over 9 million monthly downloads, surpassing even full-stack frameworks like Django.
Source: kinsta.com
3 Web Frameworks to Use With Python
myapp/ is the main directory of your FastAPI application. It includes all the other files and directories needed for the application.static/ is a directory used to store static assets such as CSS, JavaScript, and image files. These assets are served directly by the web server and are typically used to add visual styling and interactivity to the application.css/, img/, js/...
Best Alternatives to FastAPI App Free for Windows (2021)
FastAPI Alternative – So many alternatives app to FastAPI that you must to know out there. And, looking for an ideal software was not easy matter. Lucky you, at this page you can find the best replacement app for FastAPI. So what you are waiting for, get the latest FastAPI alternative app for Windows 10 from this page.
Top 5 Back-End Frameworks to Consider for Web Development in 2021
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. It is fast when compared to other major Python frameworks like Flask and Django. FastAPI gives great flexibility to fulfill businesses’ API needs in today’s evolving world.

ScrapeHunt Reviews

We have no reviews of ScrapeHunt yet.
Be the first one to post

Social recommendations and mentions

Based on our record, FastAPI seems to be more popular. It has been mentiond 288 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.

FastAPI mentions (288)

  • How to Set Up CI/CD for a Python Backend Application on Fly.io Using GitHub Actions
    The backend of this accountability AI application is built using FastAPI, a high-performance framework for Python. The app allows users to communicate with the AI, which helps them stay accountable by generating responses based on their input. Below is a breakdown of the key components used in the code:. - Source: dev.to / 11 days ago
  • 🚀 Building Recallr: How I Turned PDFs into Anki Flashcards with AI
    Until I realized Anki has their own API Interface, which made me realize that I can automate this task, efficiently, while also getting hand on experience using FastAPI and LLMs (but am I going to change the stack later?.. Lets see). - Source: dev.to / 8 days ago
  • Building Weather & History Story Cards with Python and FastAPI
    By the end of this tutorial, you’ll see how I used FastAPI and Jinja2 to turn raw JSON into a dynamic timeline of weather and history that feels informative and fun. - Source: dev.to / 23 days ago
  • Build Code-RAGent, an agent for your codebase
    The only thing left to do then was to build something that could showcase the power of code ingestion within a vector database, and it immediately clicked in my mind: "Why don't I ingest my entire codebase of solved Go exercises from Exercism?" That's how I created Code-RAGent, your friendly coding assistant based on your personal codebases and grounded in web search. It is built on top of GPT-4.1, powered by... - Source: dev.to / 24 days ago
  • Understanding the Relation Between FastAPI and Uvicorn
    FastAPI and Uvicorn are two essential building blocks when developing high-performance Python APIs. - Source: dev.to / 25 days ago
View more

ScrapeHunt mentions (0)

We have not tracked any mentions of ScrapeHunt yet. Tracking of ScrapeHunt recommendations started around Mar 2021.

What are some alternatives?

When comparing FastAPI and ScrapeHunt, you can also consider the following products

Django - The Web framework for perfectionists with deadlines

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

Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.

Scrapy - Scrapy | A Fast and Powerful Scraping and Web Crawling Framework

ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple

Portia - An open-source visual scraping tool that lets you scrape the web without coding, built by Scrapy...