Handinger vs SimpleScraper

Handinger is a straightforward API that extracts website content without requiring any coding skills. It delivers website data in markdown format, making it ideal for training AI models or building AI agents. The tool also extracts structured metadata, images, and screenshots, supporting use cases like classification, enrichment, and visual AI training. It can handle JavaScript and React-rendered sites, expanding its reach to modern web pages. Users can upload lists of URLs or input single links, optionally adding AI prompts to extract specific information from any website. Handinger is designed for a broad audience, including AI developers, marketers, and anyone building AI workflows or knowledge bases. Its all-in-one approach manages browsers, proxies, and anti-bot measures, so users don’t have to worry about technical details. The pricing is simple and usage-based, with the first 1,000 requests free and no upfront costs. This makes it accessible for small projects and scalable for larger ones. Handinger also supports reading data from PDFs, Excel, and CSV files, broadening its data extraction capabilities. The clean output is optimized for easy integration with AI agents and workflows, helping users automate data collection and analysis. Overall, Handinger offers an affordable, easy-to-use solution for extracting web content and structured data to power AI applications and personal knowledge management.

SimpleScraper lets you extract data from any website quickly using a free Chrome extension or a cloud platform. It turns web pages into structured data or APIs without needing to write code. Users can scrape single pages or thousands at scale, including JavaScript-heavy sites and infinite scroll pages. The tool supports scheduling, proxy rotation, and reCaptcha solving to handle complex scraping tasks reliably. Its AI Enhance feature allows you to describe the data you want in plain English, and the system automatically extracts and analyzes it, removing the need for CSS selectors or XPath. This makes it accessible to both developers and no-coders. Extracted data can be sent directly to Google Sheets, Airtable, Zapier, or via webhooks for immediate use. The platform also supports workflows to run multiple scraping tasks in sequence and ensures only unique data is collected to avoid duplicates. Overall, SimpleScraper is designed to simplify web scraping while providing powerful automation and AI-driven data understanding.