Infovium Web Data Extractor vs Scrapy

Struggling to choose between Infovium Web Data Extractor and Scrapy? Both products offer unique advantages, making it a tough decision.

Infovium Web Data Extractor is a Data & Analytics solution with tags like data-extraction, web-scraping, automation, research, marketing-analytics.

It boasts features such as Visual web scraping interface, Extract data into Excel, CSV, JSON, Scrape text, images, PDFs, JavaScript rendering engine, Proxy rotation, Cloud scraping and pros including Easy to use for non-coders, Good for one-off scraping projects, Affordable pricing.

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	Infovium Web Data Extractor	Scrapy
Overall Score	N/A	N/A
Primary Category	Data & Analytics	Development

Product Overview

Infovium Web Data Extractor

Description: Infovium Web Data Extractor is a web scraping tool that allows you to extract data from websites. It has a graphical interface where you can visually select elements to scrape without writing any code. Useful for marketing, research, and data analytics.

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

Infovium Web Data Extractor Features

• Visual web scraping interface
• Extract data into Excel, CSV, JSON
• Scrape text, images, PDFs
• JavaScript rendering engine
• Proxy rotation
• Cloud scraping

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

Infovium Web Data Extractor

Pros

• Easy to use for non-coders
• Good for one-off scraping projects
• Affordable pricing

Cons

• Limited automation capabilities
• Not suitable for large-scale scraping
• Lacks some advanced customization options

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

Infovium Web Data Extractor

• Freemium
• Subscription-Based

Scrapy

• Open Source