# 领英职位采集：德国的中文岗位

**Use case:** 

出海招聘与人才市场调研：导出德国最近一个月要求中文的领英职位，含职位描述、申请人数、职级和发布人。

## Input

```json
{
  "keywords": [
    "mandarin"
  ],
  "locations": [
    "Germany"
  ],
  "datePosted": "pastMonth",
  "maxJobsPerSearch": 30,
  "includeDetails": true,
  "easyApply": false,
  "onlyNewJobs": false
}
```

## Output

```json
{
  "jobUrl": {
    "label": "Job",
    "format": "link"
  },
  "title": {
    "label": "Title"
  },
  "companyName": {
    "label": "Company"
  },
  "location": {
    "label": "Location"
  },
  "postedDate": {
    "label": "Posted"
  },
  "applicantsCount": {
    "label": "Applicants",
    "format": "number"
  },
  "seniorityLevel": {
    "label": "Seniority"
  },
  "employmentType": {
    "label": "Type"
  },
  "salaryText": {
    "label": "Salary"
  },
  "applyType": {
    "label": "Apply"
  },
  "searchKeyword": {
    "label": "Search"
  }
}
```

## How it works

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

The LinkedIn Jobs Scraper | Job Postings API | $0.40/1K Actor is ready to run with the inputs already set for "领英职位采集：德国的中文岗位". [Sign up or log in](https://console.apify.com/create-task-from-example/Ipqk4da7CRa8PzcSI) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "领英职位采集：德国的中文岗位" task

The LinkedIn Jobs Scraper | Job Postings API | $0.40/1K Actor will start running based on the input automatically. You can also change all the input fields, like job titles or keywords, locations, and more, to match your specific use case.

### 3. Receive the "领英职位采集：德国的中文岗位" 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 job, title, company, 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 "领英职位采集：德国的中文岗位" task via API](https://apify.com/monkey.d.scraping/linkedin-jobs-scraper.md).

## FAQ

### 可以换成其他国家或岗位吗？

可以。修改关键词和地点即可，例如 mandarin + Netherlands，或任意职位名称。

### 需要领英账号吗？

不需要。工具读取领英公开的职位页面，只需要一个Apify账号即可运行。

### 这个示例要花多少钱？

含完整详情每1,000个职位0.40美元（免费套餐），平台用量已包含。

### 可以通过API或自动化工具调用吗？

可以。支持Apify API、Python和Node.js客户端，以及n8n、Make、Zapier；也可以通过Apify MCP服务器作为AI智能体的工具使用。

### 中文说明会翻译采集到的数据吗？

不会。说明文档是中文的，采集到的数据保持来源网站的原始语言。

## About this Actor

This example demonstrates how to use [LinkedIn Jobs Scraper | Job Postings API | $0.40/1K](https://apify.com/monkey.d.scraping/linkedin-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/monkey.d.scraping/linkedin-jobs-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/monkey.d.scraping/linkedin-jobs-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`).