luma-page-transformers
v0.0.2
Published
Domain-specific page transformers for the Luma Bookmark Manager. Clean, standardize, and customize bookmark metadata from any website.
Maintainers
Readme
Luma Page Transformers
A collection of modular page transformers for the Luma Bookmark Manager. These transformers help standardize and clean up metadata—such as title, description, image, favicon, and URL—when saving bookmarks from various websites.
Table of Contents
Features
- Domain-Specific Transformers: Customize how metadata is extracted and transformed for different websites.
- Consistent Metadata: Ensure your bookmarks have clean, uniform data.
- Extensible: Easily add new transformers for additional domains.
- Plug-and-Play: Seamlessly integrates with the Luma Bookmark Manager.
How It Works
Each transformer is responsible for transforming the following fields from a web page:
titledescriptionimagefaviconurl
For example, a YouTube transformer can remove notification counts (like (2)) from the page title, so your bookmark title is simply My Video Title.
Installation
You can install the package via npm:
npm install luma-page-transformersAlternatively, clone the repository:
git clone https://github.com/vinodliyanage/luma-page-transformers.git
cd luma-page-transformersUsage
Import and use a transformer in your project:
import getTransformer from "luma-page-transformers";
// Example: Get a transformer for a specific hostname
const transformer = getTransformer("youtube.com");
// Transform page metadata
const cleanTitle = transformer.title("(2) My Video Title"); // Output: 'My Video Title'You can add new domain-specific transformers in the domains/ directory.
NPM Package
The package is available on npm: luma-page-transformers
Contributing
Contributions are welcome! Please open an issue or submit a pull request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/YourFeature) - Commit your changes (
git commit -am 'Add new feature') - Push to the branch (
git push origin feature/YourFeature) - Open a pull request
License
This project is licensed under the MIT License.
Contact
For support or inquiries, please contact [email protected].
Happy bookmarking!
