Software Alternatives & Reviews

Scrapy VS Apple Core ML

Compare Scrapy VS Apple Core ML and see what are their differences

Scrapy logo Scrapy

Scrapy | A Fast and Powerful Scraping and Web Crawling Framework

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app
  • Scrapy Landing page
    Landing page //
    2021-10-11
  • Apple Core ML Landing page
    Landing page //
    2023-06-13

Scrapy videos

Python Scrapy Tutorial - 22 - Web Scraping Amazon

More videos:

  • Demo - Scrapy - Overview and Demo (web crawling and scraping)
  • Review - GFuel LemoNADE Taste Test & Review! | Scrapy

Apple Core ML videos

IBM Watson & Apple Core ML Collaboration - What it means for app development

Category Popularity

0-100% (relative to Scrapy and Apple Core ML)
Web Scraping
100 100%
0% 0
Developer Tools
0 0%
100% 100
Data Extraction
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Scrapy and Apple Core ML

Scrapy Reviews

Top 15 Best TinyTask Alternatives in 2022
The software is simply deployable via the cloud, or you can host the spiders on your server using Scrapy. Only the rules need to be written; Scrapy will take care of the rest to separate the facts. With Scrapy’s portability and ability to run on Windows, Linux, Mac, and BSD platforms, new features can be added without affecting the program’s core.

Apple Core ML Reviews

We have no reviews of Apple Core ML yet.
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Social recommendations and mentions

Based on our record, Scrapy seems to be a lot more popular than Apple Core ML. While we know about 93 links to Scrapy, we've tracked only 7 mentions of Apple Core ML. 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.

Scrapy mentions (93)

  • What is SERP? Meaning, Use Cases and Approaches
    While there is no specific library for SERP, there are some web scraping libraries that can do the Google Search Page Ranking. One of them which is quite famous is Scrapy - It is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It offers rich developer community support and has been used by more than 50+ projects. - Source: dev.to / 5 months ago
  • Creating an advanced search engine with PostgreSQL
    If you're looking for a turn-key solution, I'd have to dig a little. I generally write a scraper in python that dumps into a database or flat file (depending on number of records I'm hunting). Scraping is a separate subject, but once you write one you can generally reuse relevant portions for many others. If you can get adept at a scraping framework like Scrapy you can do it fairly quickly, but there aren't many... - Source: Hacker News / 10 months ago
  • What do .NET devs use for web scraping these days?
    I know this might not be a good answer, as it's not .NET, but we use https://scrapy.org/ (Python). Source: 11 months ago
  • BeutifulSoup and getting URLs
    Take a look at Scrapy. It has a fairly advanced throttling mechanism for you to not get banned. Source: 11 months ago
  • Looking for a Python (or R) program or package to save only images from any plain vanilla website
    Not only Windows, you can also use it on Mac and Linux too. But for Python and CLI, you can use scrapy. Source: 12 months ago
View more

Apple Core ML mentions (7)

  • Ask HN: Where is Apple? They seem to be left out of the AI race?
    On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / 2 months ago
  • The Magnitude of the AI Bubble
    Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 4 months ago
  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: 12 months ago
  • Apple to occupy 90% of TSMC 3nm capacity in 2023
    > It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / 12 months ago
  • The iPhone 13 is a pitch-perfect iPhone 12S
    This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 2 years ago
View more

What are some alternatives?

When comparing Scrapy and Apple Core ML, you can also consider the following products

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

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Scraper API - Easily build scalable web scrapers

TensorFlow Lite - Low-latency inference of on-device ML models

ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.