Divparser is a modern, AI‑powered web scraping platform designed to make data extraction simple, fast, and accessible to everyone. Instead of wrestling with complex code, brittle selectors, or unreliable scraping scripts, users describe what they want in plain language — and Divparser handles the rest.
Built for developers, analysts, founders, and anyone who needs structured data from the web, Divparser transforms ordinary web pages into clean, usable datasets with remarkable accuracy. Whether you’re gathering product information, research data, listings, or content from dynamic pages, Divparser gives you a reliable, no‑code workflow that scales with your needs.
Divparser is built for clarity, speed, and reliability. It focuses on scraping the vast majority of normal, publicly accessible websites with exceptional accuracy — without the complexity, fragility, or legal uncertainty that comes with bypassing heavy bot protection.
By design, Divparser does not scrape sites like Google Search results, Zillow, LinkedIn, or other platforms protected by advanced anti‑bot systems. These sites require constant evasion tactics, rotating proxies, and brittle workarounds that break often and put users at risk. Instead of chasing loopholes, Divparser focuses on what actually delivers long‑term value: fast, predictable scraping for the millions of websites that welcome automated access.
This approach keeps Divparser lightweight, stable, and safe to use. It means no surprise failures, no proxy headaches, and no grey‑area scraping. Users get a tool that works consistently, respects site policies, and stays aligned with best practices — all while delivering clean, structured data with a simple prompt.
Divparser isn’t trying to beat the hardest sites on the internet. It’s built to excel everywhere else.
The Intelligent way to extract web data.
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