ScrapeHero vs Scrapy

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

ScrapeHero is a Ai Tools & Services solution with tags like data-extraction, lead-generation, market-research.

It boasts features such as Web scraping API, Extract data from websites without coding, Handles JavaScript rendering automatically, Handles CAPTCHAs automatically, Handles proxies and rotations automatically, Ideal for market research, lead generation and business intelligence and pros including No coding required, Saves time compared to building your own scraper, Handles complex websites with JavaScript and CAPTCHAs, Rotating proxies help avoid getting blocked, Scalable scraping for large projects.

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	ScrapeHero	Scrapy
Overall Score	N/A	N/A
Primary Category	Ai Tools & Services	Development

Product Overview

ScrapeHero

Description: ScrapeHero is a web scraping API that allows you to easily extract data from websites without coding. It handles JavaScript rendering, CAPTCHAs, proxies and rotations automatically. ScrapeHero is ideal for market research, lead generation and business intelligence.

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

ScrapeHero Features

• Web scraping API
• Extract data from websites without coding
• Handles JavaScript rendering automatically
• Handles CAPTCHAs automatically
• Handles proxies and rotations automatically
• Ideal for market research, lead generation and business intelligence

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

ScrapeHero

Pros

• No coding required
• Saves time compared to building your own scraper
• Handles complex websites with JavaScript and CAPTCHAs
• Rotating proxies help avoid getting blocked
• Scalable scraping for large projects

Cons

• Less control compared to writing your own scraper
• Limited to preset scraping templates
• Potentially costly for large projects
• Limited support for advanced customization

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

ScrapeHero

• Free plan
• Subscription-Based

Scrapy

• Open Source