Struggling to choose between Instaparser and Scrapy? Both products offer unique advantages, making it a tough decision.
Instaparser is a Ai Tools & Services solution with tags like web-scraping, data-extraction, seo, marketing, visual-interface, no-code.
It boasts features such as Visual web scraper builder, Extract data into CSV/Excel, JavaScript execution for advanced scraping, Automatic captcha solving, Scrape JavaScript websites, Rotate proxies automatically, Webhook integration, Browser automation and pros including No coding required, Intuitive visual interface, Powerful scraping capabilities, Great for beginners, 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.
Instaparser is a web scraping tool that allows users to extract data from websites without coding. It has a visual interface to create scrapers and extract data into CSV/Excel. Good for SEO agencies, marketing teams, or anyone needing to collect web data.
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.