# Zhihu User Search (Find Experts by Keyword)

**Use case:** 

Find Zhihu (知乎) accounts by keyword: name, followers, answer and article counts, upvotes received and org flag. Example: investing (投资) for expert outreach.

## Input

```json
{
  "mode": "search",
  "keyword": "投资",
  "searchType": "users",
  "sort": "relevance",
  "timeRange": "any",
  "questions": [
    "https://www.zhihu.com/question/614920801"
  ],
  "answerOrder": "default",
  "includeQuestionDetail": false,
  "answers": [
    "https://www.zhihu.com/question/614920801/answer/3174177021"
  ],
  "columns": [
    "https://zhuanlan.zhihu.com/vinca520"
  ],
  "articles": [
    "https://zhuanlan.zhihu.com/p/669214677"
  ],
  "commentIds": [
    "10655110604"
  ],
  "commentSort": "hot",
  "includeReplies": false,
  "users": [
    "zhang-jia-wei"
  ],
  "userContentType": "answers",
  "userContentSort": "newest",
  "links": [
    "https://zhuanlan.zhihu.com/p/2075952075796759957"
  ],
  "maxResults": 20
}
```

## Output

```json
{
  "name": {
    "label": "name",
    "format": "string"
  },
  "headline": {
    "label": "headline",
    "format": "string"
  },
  "followerCount": {
    "label": "followerCount",
    "format": "integer"
  },
  "answerCount": {
    "label": "answerCount",
    "format": "integer"
  },
  "articleCount": {
    "label": "articleCount",
    "format": "integer"
  },
  "ipLocation": {
    "label": "ipLocation",
    "format": "string"
  },
  "url": {
    "label": "url",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Zhihu 知乎 Scraper - Answers, Articles, Comments & Hot List Actor is ready to run with the inputs already set for "Zhihu User Search (Find Experts by Keyword)". [Sign up or log in](https://console.apify.com/create-task-from-example/yjge7CSJbiYczLITb) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Zhihu User Search (Find Experts by Keyword)" task

The Zhihu 知乎 Scraper - Answers, Articles, Comments & Hot List Actor will start running based on the input automatically. You can also change all the input fields, like mode, keyword (modes: search, suggest, saltsearch), and more, to match your specific use case.

### 3. Receive the "Zhihu User Search (Find Experts by Keyword)" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as name, headline, followercount, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Zhihu User Search (Find Experts by Keyword)" task via API](https://apify.com/clover_folktale/zhihu-scraper.md).

## FAQ

### What does this example return?

Find Zhihu (知乎) accounts by keyword: name, followers, answer and article counts, upvotes received and org flag. Example: investing (投资) for expert outreach.

### Do I need a Zhihu account, cookies or a login?

No. The task reads public Zhihu (知乎) data, so you don't need an account, cookies or your own proxies. Open the task and click Start.

### How do I run it for my own input?

Change “Keyword” and “Result type” in the input above and start the run. The other settings can stay as they are.

### How many results do I get?

Up to the “Max results” value: this example asks for 20. It is the total for the whole run, so a run never returns more than you asked for.

### How much does it cost?

You pay per result, with no monthly rental. The current price per 1,000 results is on the Actor's Pricing tab, and Apify shows what each run cost when it finishes.

### Can I run it on a schedule and export the data?

Yes. Save the task to your account and add a schedule in Apify Console (hourly, daily or weekly). Download results as JSON, CSV or Excel, or read them through the Apify API and integrations.

### How fresh is the data?

Every run fetches the data from Zhihu (知乎) at the moment it runs, so counts such as likes, views or prices are current as of that run.

## About this Actor

This example demonstrates how to use [Zhihu 知乎 Scraper - Answers, Articles, Comments & Hot List](https://apify.com/clover_folktale/zhihu-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/clover_folktale/zhihu-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).
