Struggling to choose between ScraperAPI and Scrape.do? Both products offer unique advantages, making it a tough decision.
ScraperAPI is a Ai Tools & Services solution with tags like web-scraping, data-extraction, automation, proxies, browser-automation.
It boasts features such as Web scraping API, Extract data from websites, No coding required, Handles proxies, browsers, CAPTCHAs automatically and pros including Easy to use, Saves time compared to coding a scraper, Scalable - can scrape many sites in parallel, Handles difficult sites with CAPTCHAs and anti-scraping measures.
On the other hand, Scrape.do is a Ai Tools & Services product tagged with web-scraping, data-extraction, no-code, visual-interface, marketing, research, data-analysis.
Its standout features include 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 it shines with pros like 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.
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.
ScraperAPI is a web scraping API that allows you to easily extract data from websites without needing to write any code. It handles proxies, browsers, CAPTCHAs, and other challenges automatically.
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.