Scrapy vs Apify

Struggling to choose between Scrapy and Apify? Both products offer unique advantages, making it a tough decision.

Scrapy is a Development solution with tags like scraping, crawling, parsing, data-extraction.

It boasts features such as Web crawling and scraping framework, Extracts structured data from websites, Built-in support for selecting and extracting data, Async I/O and item pipelines for efficient scraping, Built-in support for common formats like JSON, CSV, XML, Extensible through a plug-in architecture, Wide range of built-in middlewares and extensions, Integrated with Python for data analysis after scraping, Highly customizable through scripts and signals, Support for broad crawling of websites and pros including Fast and efficient scraping, Easy to scale and distribute, Extracts clean, structured data, Mature and well-supported, Integrates well with Python ecosystem, Very customizable and extensible.

On the other hand, Apify is a Ai Tools & Services product tagged with web-scraping, data-extraction, automation, proxies, browser-automation, captcha-solving.

Its standout features include Web scraping, Web crawling, Browser automation, Proxy management, Visual scraping, Scheduler, Data storage, and it shines with pros like Easy to use, Scalable, Handles proxies and rotations, Built-in browser automation, Visual interface for building scrapers, Integrations with other services.

Feature	Scrapy	Apify
Overall Score	N/A	N/A
Primary Category	Development	Ai Tools & Services

Product Overview

Scrapy

Description: Scrapy is an open-source web crawling framework used for scraping, parsing, and storing data from websites. It is written in Python and allows users to extract data quickly and efficiently, handling tasks like crawling, data extraction, and more automatically.

Apify

Description: Apify is a web scraping and automation platform that allows you to easily build scrapers and crawlers to extract data from websites. It handles proxy rotation, browser automation, CAPTCHAs, and more.

Key Features Comparison

Scrapy Features

• Web crawling and scraping framework
• Extracts structured data from websites
• Built-in support for selecting and extracting data
• Async I/O and item pipelines for efficient scraping
• Built-in support for common formats like JSON, CSV, XML
• Extensible through a plug-in architecture
• Wide range of built-in middlewares and extensions
• Integrated with Python for data analysis after scraping
• Highly customizable through scripts and signals
• Support for broad crawling of websites

Apify Features

• Web scraping
• Web crawling
• Browser automation
• Proxy management
• Visual scraping
• Scheduler
• Data storage

Pros & Cons Analysis

Scrapy

Pros

• Fast and efficient scraping
• Easy to scale and distribute
• Extracts clean, structured data
• Mature and well-supported
• Integrates well with Python ecosystem
• Very customizable and extensible

Cons

• Steep learning curve
• Configuration can be complex
• No GUI or visual interface
• Requires proficiency in Python
• Not ideal for simple one-off scraping tasks

Apify

Pros

• Easy to use
• Scalable
• Handles proxies and rotations
• Built-in browser automation
• Visual interface for building scrapers
• Integrations with other services

Cons

• Can get expensive for large scale scraping
• Limited free plan
• Some limitations in free version

Pricing Comparison

Scrapy

• Open Source

Apify

• Freemium
• Pay-As-You-Go