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.

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.

Infovium Web Data Extractor

Infovium Web Data Extractor

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.

Categories:
Data & Analytics Web Scraping
data-extraction web-scraping automation research marketing-analytics

Infovium Web Data Extractor Features

  1. Visual web scraping interface
  2. Extract data into Excel, CSV, JSON
  3. Scrape text, images, PDFs
  4. JavaScript rendering engine
  5. Proxy rotation
  6. Cloud scraping

Pricing

  • Freemium
  • Subscription-Based

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

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:
Development Web Scraping
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