Crawl websites segment by segment and extract structured JSON data
Users
25
+5 in 30 days
Rating
5.0 / 5
unchanged in 30 days
Ratings
1
0 in 30 days
Store rank
#139K
#116K among extensions
Version
1.0.0
updated 17 Mar 2026
Users
monthly, 7 months
Latest, 16 Oct 2026:25 usersMove the mouse over the chart for any month
Ratings count
monthly, 7 months
Latest, 16 Oct 2026:1 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About Web Crawler
Web Crawler — Extract Website Data as JSON
Crawl any website segment by segment and extract structured data in clean JSON format. Perfect for developers, SEO analysts, researchers, and data enthusiasts who need to quickly gather and analyze website content.
🔍 What It Does Web Crawler visits every page on a website, extracts key data from each segment, and delivers it all as organized JSON — stored automatically in MongoDB for easy access.
📦 Data Extracted Per Page • Page title & meta tags (description, keywords, Open Graph) • All headings (H1–H6) • Paragraph text content • Images with alt text • Internal & external links • Script and stylesheet references • HTTP status codes
⚡ Key Features • Segment-by-segment crawling with real-time progress tracking • Auto-fill current tab URL with one click • Configurable max pages limit (1–200) • Export results as downloadable JSON file • Copy JSON to clipboard instantly • Crawl history with status tracking • Beautiful dark-mode interface • Data stored in MongoDB for persistence and querying
🛠️ How It Works
Enter a URL or auto-fill from your current tab
Click "Start Crawl" and watch the progress bar
View structured JSON results with page, link, and image counts
Export or copy the data for your projects
⚙️ Requirements This extension requires a backend server (Node.js + Express) and MongoDB. Setup instructions are available on our GitHub repository.
Built with Node.js, Express.js, Cheerio, and MongoDB.