Best apps like URL Scissors

10+ similar apps compared and reviewed

4.7 avg rating
9 free apps
Updated October 2026

Looking for something like URL Scissors? We've analyzed 10+ similar apps to help you find the best alternative. Each app is compared by ratings, features, and real user reviews, so you can make the right choice.

Top Alternatives to URL Scissors

URL Components#1

URL Components by Swapnanil Dhol

Decode URLs Quickly!
5.0(1 ratings)
FreeIn-App Purchases
URL Components screenshot 1
URL Components screenshot 2
URL Components screenshot 3
URL Components screenshot 4
URL Components screenshot 5

Instantly decode and inspect URLs, parsing components like scheme, host, path, and query parameters. Generate code snippets in Swift, curl, and JavaScript for debugging APIs and web links. Ideal for developers working with web requests and data.

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Organize and quickly access frequently used code snippets. Create custom tags and languages for efficient management. Sync your snippets across all your iCloud-enabled devices to save time and streamline your workflow.

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This developer utility allows you to inspect system pasteboards, ensuring your app correctly places data. It provides live previews of text, RTF, images, and other content with Quick Look support. The app also hides outdated pasteboard types for a cleaner experience.

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Pythonica: Code and Debug
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Develop and debug Python web applications directly on your iOS device. This app provides a full Python environment with PIP support, a script editor with advanced features, and a built-in Git client. It also allows you to run your applications as standalone web apps.

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Deeplink tester : open url
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Deeplink Checker
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This app allows developers and marketers to quickly test, inspect, and share their app's link setups, including AASA files. It helps troubleshoot issues with deeplinks and Universal Links, streamlining the app development process.

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API Bot
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API calls at your fingertips
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This tool empowers mobile developers to build and test APIs directly on their devices. It leverages on-device machine learning to analyze API results and identify patterns, while also allowing for the creation and management of various request types and data formats.

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