Krawly.io is a free online platform that provides 160+ web scraping, SEO analysis, security auditing, and developer tools. It allows users to extract data from websites, analyze SEO performance, check security headers, detect technologies, scrape YouTube data, generate leads, and much more — all without requiring signup or installation.

Is Krawly free to use?

Yes! Krawly is completely free. You get 30 free uses per day without signing up. No credit card required.

Do I need to install anything?

No installation needed. All 160+ tools run directly in your browser with no downloads or setup required. There is also a REST API and a Chrome extension for advanced users.

What data formats can I export?

All tools support JSON, CSV, and Excel (XLS) export. The screenshot tool provides PNG images. API responses are in JSON format.

How does the Krawly API work?

Krawly is a free web-based platform. All 160+ tools are available directly in your browser with no signup required. You get 30 free uses per day.

What types of tools does Krawly offer?

Krawly offers tools in 11 categories: SEO (meta tag validator, heading analyzer, keyword density, core web vitals), Web Scraping (email scraper, table extractor, CSS selector scraper), Security (SSL checker, port scanner, WordPress scanner), OSINT (DNS lookup, WHOIS, IP geolocation), E-Commerce (Amazon scraper, Shopify scraper, price tracker), YouTube (comments scraper, playlist extractor, thumbnail downloader), Developer (JSON formatter, regex tester, JWT decoder), Content (word counter, readability score), Analysis (technology detector, page speed analyzer), Social Media (TikTok analyzer, Instagram analyzer), and Utilities (QR code generator, URL shortener).

Is Krawly a good alternative to SEMrush, Ahrefs, or BuiltWith?

Krawly provides many of the same on-page SEO analysis features as SEMrush and Ahrefs for free, including meta tag validation, heading analysis, keyword density checking, and structured data auditing. For technology detection, it serves as a free alternative to BuiltWith and Wappalyzer. However, Krawly focuses on individual page analysis rather than domain-wide crawling or backlink databases.

Can I use Krawly for lead generation?

Yes. Krawly's Lead Generation tool automatically crawls a website's homepage, about, contact, and team pages to extract email addresses, phone numbers, LinkedIn profiles, Twitter handles, Facebook pages, Instagram accounts, and GitHub links. Results can be exported as JSON, CSV, or Excel.

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Review Summary Extractor

Extract product reviews, ratings, aggregated scores, and rating distribution from e-commerce and review pages.

Updated May 24, 2026

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What is Review Summary Extractor?

The Review Summary Extractor scrapes product reviews, ratings, and aggregate scores from e-commerce and review pages. It extracts individual review text, author names, star ratings, and dates, plus overall rating distribution to help you analyze customer feedback at scale.

Use cases

Product research — read aggregate reviews before purchasing or sourcing products
Competitive intelligence — compare review sentiments across competing products
Brand monitoring — track customer feedback and identify recurring complaints
Market research — analyze rating distributions to assess product quality
Content creation — source authentic customer quotes for marketing materials

Key features

Schema.org review and AggregateRating extraction

Individual review text, author, rating, and date scraping

Star rating distribution visualization (1–5 stars)

HTML pattern matching for reviews on non-structured pages

Total review count and average rating calculation

Export reviews to JSON, CSV, or Excel

Frequently asked questions

It extracts up to 50 reviews from Schema.org structured data or 30 from HTML patterns. For pages with hundreds of reviews, it captures the most prominently displayed ones.

For Amazon product reviews, use our Amazon Product Scraper which is specifically designed for Amazon's HTML structure. This tool works best on sites with Schema.org review markup.

No, this tool extracts review data as-is. Detecting fake reviews requires NLP analysis and pattern matching that goes beyond simple extraction.