# doda Jobs Scraper (`scrapeai/doda-jobs-scraper`) Actor

Extract career opportunities from doda (デューダ), Japan's major career change and job search platform.

- **URL**: https://apify.com/scrapeai/doda-jobs-scraper.md
- **Developed by:** [ScrapeAI](https://apify.com/scrapeai) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

## doda Jobs Scraper

### Overview

Mine employment data from doda (デューダ), a premier Japanese career platform specializing in mid-career transitions. This actor crawls doda's job database to gather detailed listing information including salary bands, required qualifications, and company profiles from across Japanese industries.

### Features

- Mid-career and experienced professional job data
- Japanese industry and occupation category filtering
- Annual salary range extraction in JPY
- Company culture and workplace environment details
- Proxy rotation with automatic fallback (residential → datacenter)
- CAPTCHA detection and session rotation
- Automatic retry on failures with exponential backoff
- Deduplication of results by application URL
- Dataset validation with auto-fix capability

### Supported Inputs

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `keyword` | string | `"software engineer"` | Search terms for job discovery |
| `location` | string | `"東京都"` | Geographic filter for results |
| `country` | string | `"JP"` | Country code for proxy routing |
| `maxItems` | integer | `50` | Upper limit on extracted listings |
| `proxyEnabled` | boolean | `true` | Toggle proxy rotation on/off |
| `sortBy` | string | `"relevance"` | Result ordering (relevance/date/salary) |
| `jobType` | string | `""` | Employment type filter |
| `experienceLevel` | string | `""` | Seniority level filter |
| `datePosted` | string | `""` | Recency filter (24h/3d/7d/14d/30d) |
| `remoteOnly` | boolean | `false` | Restrict to remote positions only |
| `includeCompanyDetails` | boolean | `true` | Fetch extra company information |
| `includeSalary` | boolean | `true` | Include compensation data |

### Output Format

Each scraped listing produces a JSON object with these fields:

```json
{
    "jobTitle": "Senior Software Engineer",
    "companyName": "Example Corp",
    "location": "東京都",
    "salary": "$120,000 - $160,000",
    "jobType": "Full-time",
    "experienceLevel": "Senior",
    "postedDate": "2 days ago",
    "applyUrl": "https://doda.jp/job/12345",
    "companyUrl": "https://doda.jp/company/example",
    "description": "We are looking for a skilled engineer...",
    "requirements": ["JavaScript", "Node.js", "React"],
    "benefits": ["Health Insurance", "Remote Work"],
    "sourcePortal": "doda",
    "country": "JP",
    "scrapedAt": "2025-01-15T10:30:00.000Z"
}
```

### Proxy Handling

A robust proxy pipeline handles connection failures transparently.

1. **Apify Residential Proxy** (country-targeted) — First choice for doda
2. **Apify Residential Proxy** (any region) — Fallback if country proxy unavailable
3. **Apify Datacenter Proxy** — Secondary fallback for cost efficiency
4. **Direct Connection** — Last resort when all proxies fail

Proxies auto-rotate on each request. Blocked sessions are discarded and replaced automatically.

### Retry Logic

Automatic recovery from failures with progressive retry intervals.

- Maximum 5 retries per request
- Fresh browser session on each retry
- Automatic proxy rotation between attempts
- Blocked status codes (401, 403, 429) trigger session refresh
- Configurable request timeout (120 seconds)

### Anti-block Handling

Comprehensive stealth configuration keeps the actor under anti-bot radar.

- `navigator.webdriver` property masked
- Human-like delays between page interactions (2–5 seconds)
- Browser language and plugin fingerprints normalised
- Session pool with automatic rotation on blocks
- CAPTCHA detection with graceful retry
- Rate limit detection (HTTP 429) with backoff

### Sample Input

```json
{
    "keyword": "data analyst",
    "location": "東京都",
    "maxItems": 25,
    "proxyEnabled": true,
    "sortBy": "date",
    "remoteOnly": false
}
```

### Sample Output

```json
{
    "jobTitle": "Data Analyst",
    "companyName": "TechCorp International",
    "location": "東京都",
    "salary": "Competitive",
    "jobType": "Full-time",
    "experienceLevel": "Mid-level",
    "postedDate": "1 day ago",
    "applyUrl": "https://doda.jp/job/example-123",
    "companyUrl": "",
    "description": "Seeking a detail-oriented data analyst to join our growing team...",
    "requirements": ["SQL", "Python", "Tableau"],
    "benefits": ["Health Insurance", "Flexible Hours"],
    "sourcePortal": "doda",
    "country": "JP",
    "scrapedAt": "2025-01-15T14:22:00.000Z"
}
```

### Usage

#### Local Development

```bash
## Install dependencies
npm install

## Set Apify token (required for proxy)
export APIFY_TOKEN=your_token_here

## Run the actor
npm start

## Validate scraped data
node dataset-validator.js
```

#### Apify Platform

```bash
## Login to Apify
apify login

## Push actor to platform
apify push

## Run from Apify Console or API
```

### Deployment

1. Ensure all dependencies are installed: `npm install`
2. Authenticate with Apify: `apify login`
3. Deploy the actor: `apify push`
4. Configure input in the Apify Console
5. Schedule runs or trigger via API / webhooks

### Limitations

- Results depend on the portal's current HTML structure; layout changes may require selector updates
- Some job details (salary, benefits) may not be available for all listings
- Rate limiting by the portal may reduce throughput during high-volume scrapes
- CAPTCHA challenges may interrupt scraping on heavily protected pages
- doda may modify their anti-bot measures, requiring periodic updates
- Maximum items per run is capped at 1000 to prevent excessive resource usage
- Proxy costs apply when using Apify residential or datacenter proxies

# Actor input Schema

## `keyword` (type: `string`):

Job title or keywords to search for on doda.

## `maxPages` (type: `integer`):

Maximum number of search result pages to crawl. Each page contains ~20 job listings.

## `country` (type: `string`):

Country code for proxy geo-targeting.

## `proxyEnabled` (type: `boolean`):

Use an authorized proxy route for regional access or connection reliability; it does not bypass access controls.

## `headless` (type: `boolean`):

Run the browser in headless mode.

## Actor input object example

```json
{
  "keyword": "software engineer",
  "maxPages": 5,
  "country": "JP",
  "proxyEnabled": true,
  "headless": true
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing the real public job records extracted by this Actor.

## `files` (type: `string`):

Key-value store containing RUN\_SUMMARY and optional extraction diagnostics.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapeai/doda-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("scrapeai/doda-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call scrapeai/doda-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapeai/doda-jobs-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/xaYw6HfevTbhdvyFg/builds/IYaTr4IbypneE8WCm/openapi.json