Overview
Turn any webpage's lists and tables into clean data. Export to Excel, CSV, JSON, or Markdown. No code required.
Newise is a no-code Chrome extension that lets you extract any list or table data from any webpage in one click. No coding, no technical skills, no complicated setup required. Just point, click, and get your data. 🤔 WHY NEWISE? Most web scrapers require you to write code, configure CSS selectors, or define data schemas before you see any results. Newise flips that entirely. You get results first, and you can refine them after. It is the fastest and most beginner-friendly way to turn any webpage into structured, exportable data. 🚀 HOW IT WORKS 1. Navigate to any webpage you want to scrape 2. Click the Scrape button and select a list on the page 3. Review your data and export in your preferred format No setup. No configuration. No waiting. ✨ KEY FEATURES 🖱️ One-Click Scraping Simply select any list or table on a webpage and hit Scrape. Your data is instantly organized into a clean, structured table. No code, no selectors, no schema required. 📄 3 Pagination Modes Automatically handles Next Page buttons, Load More buttons, and Infinite Scroll so you can extract data across hundreds of pages without lifting a finger. ✏️ Editable Results Edit individual cells, sort columns, change data types, drag and drop rows and columns, and use AI to auto-rename column headers before you export. 💾 Flexible Export Download as Excel, CSV, JSON, or Markdown, or copy directly to your clipboard and paste anywhere. 🌐 Works on Any Website E-commerce stores, business directories, job boards, real estate portals, review pages, and more. 👥 PERFECT FOR ✅ E-commerce sellers tracking competitor prices and product listings from Amazon, eBay, or any online store ✅ Sales and marketing teams building prospect lists and lead databases from business directories ✅ Recruiters and job seekers extracting job postings from LinkedIn, Indeed, or any job board ✅ Real estate professionals pulling property listings and prices from any portal ✅ SEO and content teams auditing competitor pages and extracting structured content data ✅ Anyone tired of copying and pasting data manually row by row ❓ FREQUENTLY ASKED QUESTIONS 💬 Is Newise free to use? Yes, all features are completely free. Install and start scraping immediately, no subscription or credit card required. 💬 Do I need coding or technical skills? Not at all. If you can browse the web, you can use Newise. No scripts, no setup, just point, click, and scrape. 💬 Will I get blocked by websites? No. Newise works entirely within your browser and behaves just like a regular user visiting a page. There is no risk of IP blocks or anti-scraping restrictions. 💬 Does it work on pages that require login? Yes. Simply log in to the website as you normally would, and Newise will be able to access and extract the data on that page. 💬 Why use Newise instead of an AI agent? AI agents can be unpredictable, expensive, and require technical setup. Newise gives you a fast, stable, and straightforward way to extract data directly from your browser. No prompts to engineer, no pipelines to maintain, just click and get your data every time.
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Details
- Version0.8.3
- UpdatedMay 21, 2026
- Size202KiB
- Languages54 languages
- DeveloperNEWISE LLCWebsite
30 N Gould St ste r Sheridan, WY 82801 USEmail
support@newise.appPhone
+44 7857 482436 - TraderThis developer has identified itself as a trader per the definition from the European Union and committed to only offer products or services that comply with EU laws.
- D-U-N-S145801284
Privacy
Web Scraper — No-Code List & Table to Excel/CSV has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.
Web Scraper — No-Code List & Table to Excel/CSV handles the following:
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes