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Matomo vs Scrapy

Professional comparison and analysis to help you choose the right software solution for your needs.

Matomo icon
Matomo
Scrapy icon
Scrapy

Matomo vs Scrapy: The Verdict

⚡ Summary:

Matomo: Matomo is an open-source web analytics platform that focuses on data privacy. It can track visits, page views, downloads, and more on websites, apps, etc. Matomo aims to provide valuable insights while letting users retain control over their data.

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.

Both tools serve their respective audiences. Compare the features, pricing, and user ratings above to determine which best fits your needs.

Last updated: May 2026 · Comparison by Sugggest Editorial Team

Feature Matomo Scrapy
Sugggest Score — —
Category Online Services Development
Pricing Open Source Open Source

Product Overview

Matomo
Matomo

Description: Matomo is an open-source web analytics platform that focuses on data privacy. It can track visits, page views, downloads, and more on websites, apps, etc. Matomo aims to provide valuable insights while letting users retain control over their data.

Type: software

Pricing: Open Source

Scrapy
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.

Type: software

Pricing: Open Source

Key Features Comparison

Matomo
Matomo Features
  • Real-time analytics
  • Customizable dashboards
  • Goal and funnel tracking
  • Heatmaps
  • A/B testing
  • Custom segments
  • API access
  • Plugin ecosystem
Scrapy
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

Pros & Cons Analysis

Matomo
Matomo

Pros

  • Open source and self-hosted
  • Strong focus on privacy
  • Powerful free community edition
  • Highly customizable and extensible

Cons

  • Steeper learning curve than some tools
  • Requires technical expertise to set up and manage
  • Limited support options
Scrapy
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

Pricing Comparison

Matomo
Matomo
  • Open Source
Scrapy
Scrapy
  • Open Source

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Learn More About Each Product

Matomo
Matomo
Reviews, pricing & alternatives →
Scrapy
Scrapy
Reviews, pricing & alternatives →

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