# 知乎用户文章列表 API | Zhihu creator articles

**Use case:** 

导出知乎用户发布的文章列表，使用 SocialDataX 获取结构化 Zhihu creator articles，包括标题、摘要、作者、互动指标、发布时间和分页信息，适合账号分析、内容研究、CSV、Excel 和 API workflows。

## Input

```json
{
  "operation": "list_user_articles",
  "keyword": "露营",
  "content_type": "all",
  "sort_type": "general",
  "publish_time_range": "all",
  "comment_sort_type": "default",
  "profile_url": "https://www.zhihu.com/people/tony.ting",
  "page_token": "***",
  "max_items": 20,
  "auto_paginate": true
}
```

## Output

```json
{
  "operation": {
    "label": "Operation",
    "format": "string"
  },
  "item_index": {
    "label": "Item index",
    "format": "integer"
  },
  "query_profile_url": {
    "label": "Query profile URL",
    "format": "string"
  },
  "content_id": {
    "label": "Content ID",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "summary": {
    "label": "Summary",
    "format": "string"
  },
  "content_url": {
    "label": "Content URL",
    "format": "string"
  },
  "author_name": {
    "label": "Author name",
    "format": "string"
  },
  "upvote_count": {
    "label": "Upvote count",
    "format": "integer"
  },
  "like_count": {
    "label": "Like count",
    "format": "integer"
  },
  "comment_count": {
    "label": "Comment count",
    "format": "integer"
  },
  "collect_count": {
    "label": "Collect count",
    "format": "integer"
  },
  "publish_time": {
    "label": "Publish time",
    "format": "integer"
  },
  "page_request_index": {
    "label": "Page request index",
    "format": "integer"
  },
  "page_has_more": {
    "label": "Page has more",
    "format": "boolean"
  }
}
```

## About this Actor

This example demonstrates how to use [知乎 / Zhihu API - 搜索、回答文章、评论、用户数据](https://apify.com/socialdatax/socialdatax-zhihu-data-api) with a specific input configuration. Visit the [Actor detail page](https://apify.com/socialdatax/socialdatax-zhihu-data-api) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/socialdatax/socialdatax-zhihu-data-api.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).