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.

Feature	Scrapy	Lookyloo
Overall Score	N/A	N/A
Primary Category	Development	Security & Privacy

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.

Lookyloo

Description: 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.

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

Lookyloo Features

• 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

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

Lookyloo

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

Pricing Comparison

Scrapy

• Open Source

Lookyloo

• Open Source