Lookyloo vs Scrapy

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

Lookyloo is a Security & Privacy solution with tags like web-scanning, website-analysis, website-security, open-source.

It boasts features such as 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 pros including 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.

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.

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

Product Overview

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.

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.

Key Features Comparison

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

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

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

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

Lookyloo

• Open Source

Scrapy

• Open Source