# 東京のITエンジニア求人と年収 | Tokyo IT Engineer Jobs & Salary

**Use case:** 

dodaの東京都のITエンジニア（SE・インフラ・Web）求人：会社名、勤務地、想定年収、求人詳細、職種・都道府県の平均年収との比較。 | Tokyo IT engineer jobs from doda with annual salary ranges and doda salary benchmarks.

## Input

```json
{
  "occupation": "03L",
  "prefecture": "13",
  "keywordInTitleOnly": false,
  "detailLevel": "full",
  "maxItems": 50
}
```

## Output

```json
{
  "company": {
    "label": "企業名"
  },
  "title": {
    "label": "求人タイトル"
  },
  "occupationCategory": {
    "label": "職種（小分類）"
  },
  "industry": {
    "label": "業種"
  },
  "mainPrefecture": {
    "label": "分析対象の都道府県"
  },
  "region": {
    "label": "エリア"
  },
  "salaryPeriod": {
    "label": "給与単位（year/month/day/hour）"
  },
  "salaryMin": {
    "label": "給与 下限（円）",
    "format": "number"
  },
  "salaryMax": {
    "label": "給与 上限（円）",
    "format": "number"
  },
  "annualSalaryMin": {
    "label": "想定年収 下限（円）",
    "format": "number"
  },
  "annualSalaryMax": {
    "label": "想定年収 上限（円）",
    "format": "number"
  },
  "guideOccupation": {
    "label": "doda 平均年収の職種"
  },
  "guideMatchLevel": {
    "label": "職種の一致レベル"
  },
  "occupationAvgSalary": {
    "label": "職種 平均年収（円）",
    "format": "number"
  },
  "offerVsOccupationAvgPct": {
    "label": "想定年収と職種平均の差（%）",
    "format": "number"
  },
  "occupationAvgSalaryMale": {
    "label": "職種 平均年収・男性（円）",
    "format": "number"
  },
  "occupationAvgSalaryFemale": {
    "label": "職種 平均年収・女性（円）",
    "format": "number"
  },
  "occupationAvgSalary20s": {
    "label": "職種 平均年収・20代（円）",
    "format": "number"
  },
  "occupationAvgSalary30s": {
    "label": "職種 平均年収・30代（円）",
    "format": "number"
  },
  "occupationAvgSalary40s": {
    "label": "職種 平均年収・40代（円）",
    "format": "number"
  },
  "occupationAvgSalary50s": {
    "label": "職種 平均年収・50代〜（円）",
    "format": "number"
  },
  "occupationLifetimeWage": {
    "label": "職種 生涯賃金（円）",
    "format": "number"
  },
  "guideCategory": {
    "label": "職種分類"
  },
  "categoryAvgSalary": {
    "label": "職種分類 平均年収（円）",
    "format": "number"
  },
  "regionCategoryAvgSalary": {
    "label": "エリア内の職種分類 平均年収（円）",
    "format": "number"
  },
  "prefectureAvgSalary": {
    "label": "都道府県 平均年収（円）",
    "format": "number"
  },
  "prefectureAvgSalaryMale": {
    "label": "都道府県 平均年収・男性（円）",
    "format": "number"
  },
  "prefectureAvgSalaryFemale": {
    "label": "都道府県 平均年収・女性（円）",
    "format": "number"
  },
  "prefectureMedianSalary": {
    "label": "都道府県 年収中央値（円）",
    "format": "number"
  },
  "guideIndustry": {
    "label": "doda 平均年収の業種"
  },
  "industryMatchLevel": {
    "label": "業種の一致レベル"
  },
  "industryAvgSalary": {
    "label": "業種 平均年収（円）",
    "format": "number"
  },
  "industryAvgSalaryMale": {
    "label": "業種 平均年収・男性（円）",
    "format": "number"
  },
  "industryAvgSalaryFemale": {
    "label": "業種 平均年収・女性（円）",
    "format": "number"
  },
  "nationalAvgSalary": {
    "label": "全国 平均年収（円）",
    "format": "number"
  },
  "nationalMedianSalary": {
    "label": "全国 年収中央値（円）",
    "format": "number"
  },
  "guideYear": {
    "label": "調査年",
    "format": "number"
  },
  "guideUrl": {
    "label": "doda 平均年収ページ",
    "format": "link"
  },
  "url": {
    "label": "求人URL",
    "format": "link"
  }
}
```

## How it works

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

The doda 求人・年収データ Scraper | doda.jp Jobs & Salary Scraper Actor is ready to run with the inputs already set for "東京のITエンジニア求人と年収 | Tokyo IT Engineer Jobs & Salary". [Sign up or log in](https://console.apify.com/create-task-from-example/MZvvAmjo7tTWt814s) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "東京のITエンジニア求人と年収 | Tokyo IT Engineer Jobs & Salary" task

The doda 求人・年収データ Scraper | doda.jp Jobs & Salary Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 職種 / occupation, 勤務地（都道府県） / prefecture, and more, to match your specific use case.

### 3. Receive the "東京のITエンジニア求人と年収 | Tokyo IT Engineer Jobs & Salary" 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 企業名, 求人タイトル, 職種（小分類）, 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 "東京のITエンジニア求人と年収 | Tokyo IT Engineer Jobs & Salary" task via API](https://apify.com/berkify/doda-jobs-salary-scraper.md).

## About this Actor

This example demonstrates how to use [doda 求人・年収データ Scraper | doda.jp Jobs & Salary Scraper](https://apify.com/berkify/doda-jobs-salary-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/berkify/doda-jobs-salary-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/berkify/doda-jobs-salary-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`).