Scrapy vs Lookyloo

Struggling to choose between Scrapy and Lookyloo? 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, Lookyloo is a Security & Privacy product tagged with web-scanning, website-analysis, website-security, open-source.

Its standout features include Web crawling and scraping, Open source and self-hosted, Modular architecture, Visualization and reporting, Support for headless browsers, Extensible through plugins, Command line interface, Built-in parsers for common web technologies, Export results to JSON/CSV, and it shines with pros like Free and open source, Highly customizable and extensible, Active development community, Allows scanning without hitting rate limits, Avoids common scraping detection techniques, Easy to deploy on own infrastructure.

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.

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:
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


Lookyloo

Lookyloo

Lookyloo is an open source web scanning framework designed for detecting and analyzing websites. It allows for easy crawling, scraping, and visualization of websites to identify security issues, track changes, and more.

Categories:
web-scanning website-analysis website-security open-source

Lookyloo Features

  1. Web crawling and scraping
  2. Open source and self-hosted
  3. Modular architecture
  4. Visualization and reporting
  5. Support for headless browsers
  6. Extensible through plugins
  7. Command line interface
  8. Built-in parsers for common web technologies
  9. Export results to JSON/CSV

Pricing

  • Open Source

Pros

Free and open source

Highly customizable and extensible

Active development community

Allows scanning without hitting rate limits

Avoids common scraping detection techniques

Easy to deploy on own infrastructure

Cons

Requires technical expertise to set up and use

Limited documentation for some features

No official graphical user interface

Configuration can be complex for large scans

Not designed for point-and-click usage