3 items
Scan JavaScript files on any webpage and extract endpoints, APIs, and URLs for security research and development analysis. **JS Finder** is a fast, local tool built for web developers, QA engineers, and security researchers to map out an application's client-side attack surface directly from the browser. Instead of wasting time digging through minified, obfuscated scripts, JS Finder handles the recon for you by scanning and extracting endpoints on the fly. ### Core Features: * **Deep Code Scanning:** Instantly reads all external `<script src="...">` source files and inline JavaScript execution blocks on the active webpage. * **High-Fidelity Regex Engine:** Automatically parses and discovers hidden REST API routes, fully-qualified remote URLs, application paths, and WebSocket connection endpoints. * **Smart Sorting & Filtering:** Instantly categorizes findings into dedicated types: APIs, Javascript files, Images, WebSockets, or Other generic links. * **Live Search:** Quickly filter down thousands of compiled matches using the real-time search field. * **Instant Exporting:** Copy your target list straight to your clipboard or download the results as cleanly formatted JSON, CSV, or TXT files for seamless ingestion into web proxies or reporting tools. ### Privacy-First: All static analysis is executed completely locally on your machine. JS Finder never tracks your activity, collects user data, or communicates with external servers. It runs purely inside your active tab instance to keep your research fast and secure.
Jul 9, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.