# Daijob Job Scraper - 格安 Low-cost💲🔥💼🇯🇵🔴 (`delectable_incubator/daijob-job-scraper-ge-an-low-cost`) Actor
Scrape Daijob job listings 💼🇯🇵 with a powerful Japan job scraper. Extract job titles, hiring companies, locations, salaries, seniority levels, Japanese language requirements, and more. Ideal for recruitment intelligence, bilingual hiring research, and structured job market datasets in Japan 📊🚀
- **URL**: https://apify.com/delectable\_incubator/daijob-job-scraper-ge-an-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.00005 / actor start
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
---
## Daijob Job Scraper 💼🇯🇵🔍
The Daijob Job Scraper is a powerful and scalable Apify Actor designed to extract structured job listings directly from Daijob search result pages.
It enables recruitment intelligence, bilingual talent market analysis, hiring trend monitoring, HR analytics, executive search research, and structured dataset creation from one of Japan's leading international job platforms.
---
## Daijob求人スクレイパー 💼🇯🇵🔍
Daijob求人スクレイパーは、Daijobの検索結果ページから構造化された求人情報を抽出するために設計された高性能かつスケーラブルなApify Actorです。
バイリンガル人材市場の分析、採用トレンドの監視、人事分析、エグゼクティブサーチ調査、そして日本有数の国際求人プラットフォームからのデータセット構築を可能にします。
---
### 🎯 What This Scraper Does
Simply provide one or more Daijob search URLs and the scraper handles everything automatically.
✅ Extracts structured job listings from Daijob
✅ Supports bulk URL scraping
✅ Automatically processes search result pages
✅ Handles pagination automatically
✅ Applies maxItems limits
✅ Extracts job and company information
✅ Captures salary and language requirements
✅ Identifies HOT and HIGH CLASS positions
✅ Generates clean and structured datasets
✅ Ready for recruitment analytics workflows
✅ Export-ready output format
---
### 📊 Data Extracted
#### 💼 Job Information
| Field | Description |
| -------------------- | ---------------------------- |
| 🆔 `jobId` | Unique Daijob job identifier |
| 💼 `jobTitle` | Job title |
| 🏢 `companyName` | Hiring company |
| 🏭 `companyType` | Company type |
| 🎯 `seniorityLevel` | Seniority level |
| ⭐ `seniorityStars` | Seniority rating |
| 📍 `location` | Job location |
| 💰 `salary` | Salary information |
| 🇯🇵 `japaneseLevel` | Required Japanese level |
| 🔥 `isHot` | HOT job indicator |
| 💎 `isHighClass` | HIGH CLASS job indicator |
| 🔗 `jobUrl` | Direct job URL |
#### 📈 Metadata
| Field | Description |
| -------------------- | -------------------- |
| 🕒 `scrapeTimestamp` | Extraction timestamp |
| 📊 `sourceUrl` | Search URL source |
---
### 🛠 How to Use
#### 1️⃣ Configure Input
Provide one or multiple Daijob search URLs:
````
{
"urls": \[
"https://www.daijob.com/en/jobs/search\_result?keyword=marketing",
"https://www.daijob.com/en/jobs/search\_result?keyword=engineer"
],
"maxItems": 100
}
```
#### 2️⃣ Run the Actor
• Loads Daijob search result pages
• Processes job listings automatically
• Extracts structured job and company data
• Collects salary and language information
• Detects HOT and HIGH CLASS jobs
• Applies maxItems limits
• Stops automatically when limits are reached
#### 3️⃣ Export the Dataset
Download your results in multiple formats:
✅ JSON
✅ CSV
✅ Excel
✅ XML
✅ HTML
---
### ⚙️ Input Configuration
#### 📥 Input Example
```
{
"urls": \[
"https://www.daijob.com/en/jobs/search\_result?keyword=marketing",
"https://www.daijob.com/en/jobs/search\_result?keyword=engineer"
],
"maxItems": 100
}
```
#### Input Fields
| Field | Type | Description |
| ---------- | ------- | ----------------------------------------- |
| `urls` | array | List of Daijob search URLs |
| `maxItems` | integer | Maximum number of jobs to extract per run |
---
### 📤 Output Example
```
{
"jobId": "DJ-123456",
"jobTitle": "Bilingual Marketing Manager",
"companyName": "Global Tech Japan",
"companyType": "Foreign Company",
"seniorityLevel": "Mid-Senior",
"seniorityStars": "★★★",
"location": "Tokyo",
"salary": "¥6,000,000 – ¥8,000,000",
"japaneseLevel": "Business Level",
"isHot": true,
"isHighClass": false,
"jobUrl": "https://www.daijob.com/en/jobs/detail/123456",
"scrapeTimestamp": "2026-05-23T12:00:00.000Z"
}
````
---
### 📊 Output Explanation
| Use Case | Description |
| ------------------------------- | ------------------------------------------------ |
| 💼 Recruitment Intelligence | Monitor hiring activity and recruitment trends |
| 📊 Talent Market Analysis | Analyze demand for bilingual professionals |
| 🇯🇵 Japanese Language Research | Track language requirements across industries |
| 💎 Executive Search | Identify high-level and HIGH CLASS opportunities |
| 🏢 Employer Monitoring | Follow hiring activity of target companies |
| 🤖 Automation Pipelines | Integrate job data into ATS, CRM, or BI systems |
---
### 🌍 Why Use This Scraper?
💼 Extract Daijob job listings at scale
📊 Analyze Japan's international job market
🇯🇵 Track Japanese language requirements
🏢 Monitor hiring companies
💎 Discover executive and HIGH CLASS positions
⚡ Fast and automated extraction
🤖 Automation-ready datasets
📦 Bulk URL scraping support
🚀 Scalable for both small and large extractions
---
### ❓ FAQ
#### How does this scraper work?
The scraper loads Daijob search result pages and extracts structured job listings, company information, salary data, language requirements, and job metadata.
#### Can I scrape multiple searches in one run?
Yes. You can provide multiple Daijob search URLs inside the `urls` array.
#### Does the scraper collect salary information?
Yes. Salary information is extracted whenever available.
#### Can I identify executive or premium positions?
Yes. The scraper detects both HOT and HIGH CLASS job listings when available.
#### Is pagination handled automatically?
Yes. The Actor automatically navigates through paginated search results.
#### Is the data collected live?
Yes. Data is extracted directly from Daijob during every run.
#### What export formats are supported?
JSON, CSV, Excel, XML, and HTML.
#### Can I use the extracted data commercially?
Yes. The data can be used for recruitment intelligence, HR analytics, market research, and commercial applications.
#### What happens if the scraper fails?
The Actor includes retry mechanisms and automated error handling to improve reliability.
#### How long does a run take?
Most extractions complete within minutes depending on the number of URLs and requested results.
---
### 🚀 How to Use
1️⃣ Sign up — Create a free Apify account
2️⃣ Find the tool — Search for "Daijob Job Scraper" in the Apify Store
3️⃣ Configure URLs — Add one or multiple Daijob search URLs
4️⃣ Run it — Start the Actor and wait for extraction
5️⃣ Export data — Download results in JSON, CSV, Excel, XML, or HTML
---
### ⚠️ Disclaimer
This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by Daijob.
---
### 💸 Pricing
This scraper runs on a **pay per events subscription model**.
You only pay for **successful runs**.
💳 **Price:** $1.48 / 1000 results
---
### Related Actors
If you're interested in other Jobs, Recruitment, HR Analytics, Company Intelligence, Lead Generation, or Data Extraction solutions, explore more tools:
*(Coming soon)*
---
### 📬 Support
⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool
---
### 🌍 PrimeScrape
Built for scalable web data extraction & automation.
Contact us for custom scraping solutions or enterprise requests via Apify or by email.
# Actor input Schema
## `searchUrls` (type: `array`):
List of Daijob.com search URLs to scrape job listings from.
Daijob.comの求人情報を取得するための検索URL一覧です。
The scraper will paginate through results for each URL until the max items limit is reached or no more pages are available.
スクレイパーは、最大件数に達するか利用可能なページがなくなるまで、各URLの検索結果を自動的に巡回します。
Examples / 例:
• https://www.daijob.com/en/jobs/search_result?keyword=marketing&location=Osaka&job_post_language=1&page=1
• https://www.daijob.com/en/jobs/search_result?keyword=engineering&location=Tokyo&job_post_language=1&page=1
• https://www.daijob.com/en/jobs/search_result?keyword=sales&location=Kyoto&job_post_language=1&page=1
## `maxItemsPerUrl` (type: `integer`):
Maximum number of job listings to collect for each search URL.
各検索URLから収集する求人情報の最大件数。
## Actor input object example
```json
{
"searchUrls": [
"https://www.daijob.com/en/jobs/search_result?keyword=marketing&location=Osaka&job_post_language=1&page=1",
"https://www.daijob.com/en/jobs/search_result?keyword=engineering&location=Tokyo&job_post_language=1&page=1"
],
"maxItemsPerUrl": 60
}
````
# Actor output Schema
## `overview` (type: `string`):
No description
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchUrls": [
"https://www.daijob.com/en/jobs/search_result?keyword=marketing&location=Osaka&job_post_language=1&page=1",
"https://www.daijob.com/en/jobs/search_result?keyword=engineering&location=Tokyo&job_post_language=1&page=1"
],
"maxItemsPerUrl": 60
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/daijob-job-scraper-ge-an-low-cost").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"searchUrls": [
"https://www.daijob.com/en/jobs/search_result?keyword=marketing&location=Osaka&job_post_language=1&page=1",
"https://www.daijob.com/en/jobs/search_result?keyword=engineering&location=Tokyo&job_post_language=1&page=1",
],
"maxItemsPerUrl": 60,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/daijob-job-scraper-ge-an-low-cost").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchUrls": [
"https://www.daijob.com/en/jobs/search_result?keyword=marketing&location=Osaka&job_post_language=1&page=1",
"https://www.daijob.com/en/jobs/search_result?keyword=engineering&location=Tokyo&job_post_language=1&page=1"
],
"maxItemsPerUrl": 60
}' |
apify call delectable_incubator/daijob-job-scraper-ge-an-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/daijob-job-scraper-ge-an-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Daijob Job Scraper - 格安 Low-cost💲🔥💼🇯🇵🔴",
"description": "Scrape Daijob job listings 💼🇯🇵 with a powerful Japan job scraper. Extract job titles, hiring companies, locations, salaries, seniority levels, Japanese language requirements, and more. Ideal for recruitment intelligence, bilingual hiring research, and structured job market datasets in Japan 📊🚀",
"version": "0.0",
"x-build-id": "mbmYOTdaNbGWnA8eR"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~daijob-job-scraper-ge-an-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-daijob-job-scraper-ge-an-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~daijob-job-scraper-ge-an-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-daijob-job-scraper-ge-an-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~daijob-job-scraper-ge-an-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-daijob-job-scraper-ge-an-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"searchUrls",
"maxItemsPerUrl"
],
"properties": {
"searchUrls": {
"title": "Daijob Search URLs (Bulk) 🔗 | Daijob検索URL（一括）🔗",
"type": "array",
"description": "List of Daijob.com search URLs to scrape job listings from.\n\nDaijob.comの求人情報を取得するための検索URL一覧です。\n\nThe scraper will paginate through results for each URL until the max items limit is reached or no more pages are available.\n\nスクレイパーは、最大件数に達するか利用可能なページがなくなるまで、各URLの検索結果を自動的に巡回します。\n\nExamples / 例:\n• https://www.daijob.com/en/jobs/search_result?keyword=marketing&location=Osaka&job_post_language=1&page=1\n• https://www.daijob.com/en/jobs/search_result?keyword=engineering&location=Tokyo&job_post_language=1&page=1\n• https://www.daijob.com/en/jobs/search_result?keyword=sales&location=Kyoto&job_post_language=1&page=1",
"default": [
"https://www.daijob.com/en/jobs/search_result?keyword=marketing&location=Osaka&job_post_language=1&page=1",
"https://www.daijob.com/en/jobs/search_result?keyword=engineering&location=Tokyo&job_post_language=1&page=1"
],
"items": {
"type": "string"
}
},
"maxItemsPerUrl": {
"title": "Maximum Jobs Per URL 🎯 | URLごとの最大求人数 🎯",
"type": "integer",
"description": "Maximum number of job listings to collect for each search URL.\n\n各検索URLから収集する求人情報の最大件数。",
"default": 60
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```