80legs vs Scrapy

Struggling to choose between 80legs and Scrapy? Both products offer unique advantages, making it a tough decision.

80legs is a Network & Admin solution with tags like uptime, monitoring, performance.

It boasts features such as Website monitoring, Page speed tests, Performance metrics, Alerts and notifications, API for integrating with other services and pros including Comprehensive performance monitoring, Flexible alerting options, API access allows automation, Easy to set up and use.

On the other hand, Scrapy is a Development product tagged with scraping, crawling, parsing, data-extraction.

Its standout features include 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 it shines with pros like 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.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

80legs

80legs

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.

Categories:
Network & Admin Monitoring
uptime monitoring performance

80legs Features

  1. Website monitoring
  2. Page speed tests
  3. Performance metrics
  4. Alerts and notifications
  5. API for integrating with other services

Pricing

  • Subscription-Based

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

Scrapy

Scrapy

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.

Categories:
Development Web Scraping
scraping crawling parsing data-extraction

Scrapy Features

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

Pricing

  • Open Source

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