Scrapy vs 80legs

Struggling to choose between Scrapy and 80legs? 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, 80legs is a Network & Admin product tagged with uptime, monitoring, performance.

Its standout features include Website monitoring, Page speed tests, Performance metrics, Alerts and notifications, API for integrating with other services, and it shines with pros like Comprehensive performance monitoring, Flexible alerting options, API access allows automation, Easy to set up and use.

Feature	Scrapy	80legs
Overall Score	N/A	N/A
Primary Category	Development	Network & Admin

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.

80legs

Description: 80legs is a website and API performance monitoring service. It provides uptime monitoring, page speed tests, and other tools to track website and application performance.

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

80legs Features

• Website monitoring
• Page speed tests
• Performance metrics
• Alerts and notifications
• API for integrating with other services

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

80legs

Pros

• Comprehensive performance monitoring
• Flexible alerting options
• API access allows automation
• Easy to set up and use

Cons

• Can get expensive for large number of checks
• Limited customization options
• No browser add-on for easy synthetic testing

Pricing Comparison

Scrapy

• Open Source

80legs

• Subscription-Based