Zhihu API for Openclaw

A technical interface for programmatic access to Zhihu keyword searches, question-answer feeds, and column article data.

justoneapi
v1.0.3
Apr 23, 2026
0
947
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install justoneapi-zhihu

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install justoneapi-zhihu 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 Zhihu API?

The Zhihu API skill is a specialized tool designed to integrate the vast knowledge base of Zhihu directly into automated workflows. As a key component of the Openclaw Skills ecosystem, it allows developers and researchers to bypass manual browsing and programmatically retrieve structured data. Whether you are performing market research, sentiment analysis, or content aggregation, this skill provides the necessary endpoints to access Zhihu-native content with precision.

Built on top of JustOneAPI, this skill handles the complexities of interfacing with Zhihu's internal structures. It provides a clean, unified command-line interface for retrieving everything from high-level search results to granular article metadata and engagement signals, making it an essential asset for any data-driven analyst using Openclaw Skills.

Zhihu API Use Cases

  • Conduct deep keyword searches to discover trending topics and high-authority questions within the Zhihu ecosystem.
  • Extract comprehensive answer lists for specific questions to analyze community sentiment and expert opinions.
  • Automate the collection of Zhihu column articles for archival purposes or content analysis.
  • Monitor specific Zhihu columns to track new publications and research updates in real-time.
  • Gather engagement metrics such as author interaction signals and ranking context for data-driven reporting.

How Zhihu API Works

  1. The user identifies a specific research goal, such as a keyword to search or a unique Zhihu question ID.
  2. The AI agent selects the most efficient operation from the available set: searchV1, getAnswerListV1, getColumnArticleDetailV1, or getColumnArticleListV1.
  3. The skill validates the required parameters like the JUST_ONE_API_TOKEN and specific IDs or keywords.
  4. A command is executed via Node.js to interface with the JustOneAPI backend.
  5. The skill parses the raw API response and returns structured Zhihu-native data, including titles, content, and metadata, to the user or agent.

Zhihu API Setup

To get started with this skill in your Openclaw Skills environment, ensure you have Node.js installed and follow these steps:

  1. Obtain an API token from the Just One API Dashboard.
  2. Set your environment variable to authenticate your requests:
export JUST_ONE_API_TOKEN="your_api_token_here"
  1. You can then trigger the skill using the following command structure:
node {baseDir}/bin/run.mjs --operation "searchV1" --token "$JUST_ONE_API_TOKEN" --params-json '{"keyword":"your_search_term"}'

Zhihu API Data Schema & Taxonomy

The Zhihu API skill organizes data into several logical schemas based on the target content:

Data Type Key Parameters Output Metadata
Search Results keyword, offset Topic discovery, relevant question lists, and ranking context.
Answer Feeds questionId, cursor, order Author details, content body, upvote counts, and interaction signals.
Column Articles columnId, id Full article text, publication timestamp, and author metadata.
Feed Tracking cursor, offset Pagination markers for monitoring historical or new content streams.

Zhihu API Advanced Features

  • Pagination support using cursor and offset parameters to handle large datasets across search results and answer feeds.
  • Specialized sorting capabilities via the order parameter to prioritize specific answer types.
  • Granular column monitoring to track specific experts or industry-specific content streams.
  • Seamless integration within Openclaw Skills for multi-step agentic workflows that require real-time knowledge from the Zhihu platform.

SKILL.md


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