Automate book discovery, metadata extraction, and library management on Goodreads using advanced browser-based AI agent interactions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install goodreads
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install goodreads using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Goodreads?
The Goodreads skill empowers AI agents to navigate and interact with the Goodreads platform through robust browser automation. Since the platform lacks a public API, this skill uses a sophisticated snapshot-and-act workflow to perform tasks that would otherwise require manual browsing. As a powerful addition to Openclaw Skills, it allows for deep data extraction of book details, community reviews, and personalized reading suggestions.
By leveraging the browser tool, the skill can handle complex interactions such as managing user shelves, submitting ratings, and expanding truncated book descriptions. It is designed with high reliability in mind, incorporating strict rules for re-snapshotting after navigation to ensure element references remain valid during automated sessions.
Goodreads Use Cases
- Search for books by title, author, ISBN, or keyword using automated URL encoding.
- Extract comprehensive book metadata including average ratings, page counts, and genres.
- Retrieve and summarize top community reviews for informed reading choices.
- Manage personal reading lists by adding books to Want to Read or Currently Reading shelves.
- Access personalized recommendations and "Readers also enjoyed" suggestions directly through Openclaw Skills.
How Goodreads Works
- The agent initiates a session by navigating to a specific Goodreads URL or performing a search query.
- A mandatory snapshot is captured to identify the current page structure and interactive element references.
- The agent analyzes the snapshot data to extract requested information or locate buttons for interaction.
- For write actions, such as shelving a book, the agent uses the act tool to click specific elements based on the latest snapshot.
- After any navigation or page change, the agent performs a fresh snapshot to prevent stale reference errors.
- Authentication status is verified before any user-specific actions like personalized recommendations are attempted.
Goodreads Setup
To utilize this skill within the Openclaw Skills ecosystem, ensure your agent has the browser tool enabled. No external API keys are required as the skill operates via direct browser interaction.
# Standard interaction pattern
# 1. Navigate to search or book page
# 2. Extract data via snapshot
# 3. Perform actions via act
Goodreads Data Schema & Taxonomy
| Data Point | Description | Extraction Method |
|---|---|---|
| Book Metadata | Title, Author, ISBN, Page Count | Snapshot analysis of the detail page |
| Ratings | Average star rating and total rating count | Pattern matching for "avg rating" |
| Descriptions | Full book summary and synopsis | Snapshot with "show more" click automation |
| Community Reviews | Top user-generated reviews and excerpts | List extraction from the reviews section |
| Shelf Status | Current user shelf (Read, Want to Read, etc.) | Authentication-aware element inspection |
Goodreads Advanced Features
- Automatic handling of truncated text through intelligent click-and-resnapshot logic.
- Context-aware authentication checks to guide users through the login process when required.
- Robust error recovery system that distinguishes between service outages and recoverable stale element references.
- Advanced search query construction with automatic URL encoding for complex literary searches.
- Multi-agent compatibility for cross-referencing Goodreads data with other Openclaw Skills.
SKILL.md
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