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Zhihu API

这是基于JustOneAPI的知乎数据工具,核心含关键词搜索、问题回答提取、单篇专栏文章详情、专栏文章列表追踪四类只读操作。适合分析师做知乎调研、内容挖掘场景,用户需提供关键词、各类ID或分页参数,输出知乎原生结构化数据(如标题、作者、互动数据等),使用前需配置JUST_ONE_API_TOKEN认证。

justoneapi
justoneapi
热度 49.28
最近更新 2026-05-11 17:40:19
分类:搜索依赖:代码执行 / 第三方 API应用场景:研究 / 数据处理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add justoneapi-zhihu
Metadata
name
Zhihu API
description
Search Zhihu topics, inspect answer lists, read column article detail, and track column article feeds through JustOneAPI.
author
JustOneAPI
homepage
https://api.justoneapi.com
metadata
{"openclaw":{"homepage":"https://api.justoneapi.com","primaryEnv":"JUST_ONE_API_TOKEN","requires":{"bins":["node"],"env":["JUST_ONE_API_TOKEN"]},"skillKey":"justoneapi_zhihu"}}

Zhihu

Use this skill for Zhihu question research, answer mining, 专栏文章采集, and topic discovery. It fits analyst workflows where the user starts from a keyword, question ID, article ID, or column ID and wants structured Zhihu data rather than a high-level summary.

When To Use It

  • The user wants Zhihu keyword search, question answer extraction, or column article research.
  • The task is about a specific Zhihu question, answer feed, 专栏文章, or column page.
  • The user can provide keyword, questionId, id, columnId, or pagination values such as cursor and offset.
  • The user needs Zhihu-native titles, content, authors, ranking context, or article metadata sourced directly from the API.

Representative Operations

  • searchV1: Keyword Search — Search Zhihu by keyword for topic discovery, source gathering, and question scouting.
  • getAnswerListV1: Answer List — Pull the answer feed for a Zhihu question to inspect authors, content, and interaction signals.
  • getColumnArticleDetailV1: Column Article Details — Read a single Zhihu column article in detail for archiving and content analysis.
  • getColumnArticleListV1: Column Article List — Track the article feed of a Zhihu column for monitoring and collection work.

Request Pattern

  • 4 read-only GET operations are available in this skill.
  • Common inputs are keyword, questionId, columnId, id, cursor, offset, and order.
  • The workflow splits cleanly into search, question-answer feeds, single article detail, and column article listing.
  • No operation in this skill requires a request body.

How To Work

  1. Read generated/operations.md before choosing an endpoint.
  2. Start with one of these operations when it matches the user's request: searchV1, getAnswerListV1, getColumnArticleDetailV1, getColumnArticleListV1.
  3. Pick the smallest matching operation instead of guessing.
  4. Ask the user for any missing required parameter. Do not invent values.
  5. Call the helper with:
node {baseDir}/bin/run.mjs --operation "<operation-id>" --token "$JUST_ONE_API_TOKEN" --params-json '{"key":"value"}'

Environment

  • Required: JUST_ONE_API_TOKEN
  • This skill uses JUST_ONE_API_TOKEN only for authenticated Just One API requests.
  • Keep JUST_ONE_API_TOKEN private. Do not paste it into chat messages, screenshots, or logs.
  • Get a token from Just One API Dashboard.
  • Authentication details: Just One API Usage Guide.

Output Rules

  • Lead with the concrete Zhihu result: matched topic, answer feed insight, article detail, or column update.
  • For keyword search, restate the keyword and offset before summarizing the most relevant matches.
  • For answer-list requests, surface the question scope, top authors, engagement cues, and any ordering rule before raw JSON.
  • For column-article requests, extract title, author, publication context, and the most important content signals before raw JSON.
  • If the backend errors, include the backend payload and the exact operation ID.