Scrape.do vs Scrapy

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

Scrape.do is a Ai Tools & Services solution with tags like web-scraping, data-extraction, no-code, visual-interface, marketing, research, data-analysis.

It boasts features such as Visual interface to build scrapers without coding, Extract data from websites as CSV, JSON or Excel, Scrape text, images, PDFs, tables and HTML, Use built-in selectors or write CSS/XPath queries, Schedule scrapers to run automatically, Integrates with Zapier, Integromat, Airtable and more, Browser extension to select elements for scraping, Collaborate on scrapers with a team and pros including No coding required, Intuitive visual interface, Powerful built-in selectors, Flexible output formats, Automation and scheduling, Browser extension simplifies setup, Collaboration features, Generous free plan.

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.

Scrape.do

Scrape.do

Scrape.do is a web scraping tool that allows you to extract data from websites without coding. It has a visual interface to build scrapers and can scrape text, images, documents, and data tables. Useful for marketing, research, data analysis.

Categories:
web-scraping data-extraction no-code visual-interface marketing research data-analysis

Scrape.do Features

  1. Visual interface to build scrapers without coding
  2. Extract data from websites as CSV, JSON or Excel
  3. Scrape text, images, PDFs, tables and HTML
  4. Use built-in selectors or write CSS/XPath queries
  5. Schedule scrapers to run automatically
  6. Integrates with Zapier, Integromat, Airtable and more
  7. Browser extension to select elements for scraping
  8. Collaborate on scrapers with a team

Pricing

  • Free
  • Freemium
  • Subscription-Based

Pros

No coding required

Intuitive visual interface

Powerful built-in selectors

Flexible output formats

Automation and scheduling

Browser extension simplifies setup

Collaboration features

Generous free plan

Cons

Steep learning curve for advanced queries

Limited blocking and proxies in free plan

No API access

Lacks some advanced customization options

Free plan has usage limits


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