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Pagemark API

A lightweight, layered bookmark management API with full-text search and smart collections.

Overview​

Pagemark API is a robust bookmark management service built with Flask, designed to help developers build applications that save, organize, and discover web content. It provides a clean RESTful interface for managing bookmarks, tags, and collections, backed by a layered architecture that separates business logic from persistence and presentation.

The system features an in-memory full-text search engine for rapid discovery, an LRU cache for high-performance retrieval, and support for "Smart Collections" that automatically group bookmarks based on user-defined filter rules. Whether you're building a personal link-saver or a collaborative knowledge base, Pagemark API provides the core primitives needed to manage digital resources at scale.

Key Concepts​

  • Bookmark Management Service Bookmark Management Service: The central orchestrator that coordinates between the repository, search index, and cache using a singleton facade pattern.
  • The Bookmark Data Model The Bookmark Data Model: The core entity representing a saved URL, including metadata, status (Active, Archived, Trashed), and associated tags.
  • Search and Discovery Mechanics Search and Discovery Mechanics: An in-memory inverted index that provides full-text search capabilities across bookmark titles and descriptions with relevance ranking.
  • Organizing with Collections Organizing with Collections: A grouping mechanism supporting both manual curation and "Smart Collections" that auto-populate based on filter rules.
  • Categorization with Tags Categorization with Tags: A flexible tagging system with support for custom colors and automatic cleanup when tags are deleted.
  • In-Memory Storage Architecture In-Memory Storage Architecture: A repository-based data layer combined with an LRU cache to ensure fast access to frequently used bookmarks.

Common Use Cases​

  • Building a personal "Read Later" application with search and archival features.
  • Creating a curated directory of resources using manual and smart collections.
  • Implementing a browser extension backend for saving and tagging web pages.
  • Developing a knowledge management tool that automatically categorizes content via smart filters.

Getting Started​

To begin building with Pagemark API, check out the Quickstart Tutorial to set up your local environment. Once you're up and running, explore Creating and Retrieving Bookmarks to learn the basics of the CRUD API, or dive into Executing Search Queries to enable powerful discovery features.