# Japan Job Listings Scraper (`hitujino56/jp-jobs`) Actor Scrapes Japanese job listings from 求人ボックス (Kyujin Box). Extracts job title, company, location, salary, employment type, and more. Supports keyword search, location filtering, and employment type filtering. Outputs structured JSON with salary normalization. - **URL**: https://apify.com/hitujino56/jp-jobs.md - **Developed by:** [K S](https://apify.com/hitujino56) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Japan Job Listings Scraper Scrape structured job listing data from major Japanese job boards. Currently supports **求人ボックス (Kyujin Box)**, one of Japan's largest job aggregation platforms with millions of listings. ### What does this actor do? This Apify Actor extracts job listing metadata from Japanese job boards, providing structured data including job titles, company names, locations, salary information, employment types, and station access details. All salary data is parsed and normalized from Japanese text formats (月給, 時給, 年収) into structured numeric values. **Key features:** - Full Japanese language support (kanji, hiragana, katakana parsing) - Salary text normalization (e.g., "月給25万円〜30万円" → min: 250000, max: 300000, type: monthly) - Employment type classification (正社員, パート, 契約社員, 派遣) - Station/access parsing with walk time extraction - Deterministic deduplication by title + company + location - Built-in rate limiting (max 40 requests/minute) to respect source servers ### Data Source - **求人ボックス (Kyujin Box)** — `https://求人ボックス.com/` - Japan's leading job aggregator - Aggregates listings from multiple sources - Public job listing metadata only (no PII collected) ### Output Fields | Field | Type | Required | Description | |-------|------|----------|-------------| | id | string | Yes | Unique deterministic hash ID | | title | string | Yes | Job title (職種名) | | company | string | Yes | Company name (企業名) | | location | string | Yes | Work location (勤務地) | | source | string | Yes | Data source identifier | | sourceUrl | string | Yes | URL to original listing | | postedDate | string | Yes | Publication date (ISO 8601) | | salaryMin | number | No | Minimum salary in JPY | | salaryMax | number | No | Maximum salary in JPY | | salaryType | string | No | "hourly", "monthly", or "annual" | | employmentType | string | No | "fulltime", "parttime", "contract", or "dispatch" | | station | string | No | Nearest train station | | walkMinutes | number | No | Walk time from station (minutes) | | benefits | string[] | No | List of benefits | | scrapedAt | string | Yes | Scrape timestamp (ISO 8601) | | schemaVersion | string | Yes | Schema version ("1.0") | ### Usage Example ```json { "keyword": "エンジニア", "location": "東京", "employmentType": "fulltime", "maxResults": 100 } ```` **Output example:** ```json { "id": "kyujinbox-a1b2c3d4", "title": "Webエンジニア", "company": "株式会社テクノロジー", "location": "東京都渋谷区", "source": "kyujinbox", "sourceUrl": "https://求人ボックス.com/job/12345", "postedDate": "2026-03-25", "salaryMin": 4000000, "salaryMax": 6000000, "salaryType": "annual", "employmentType": "fulltime", "station": "渋谷駅", "walkMinutes": 5, "scrapedAt": "2026-03-26T10:00:00.000Z", "schemaVersion": "1.0" } ``` ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | keyword | string | "求人" | Search keyword | | location | string | "" | Location filter | | employmentType | enum | (all) | fulltime/parttime/contract/dispatch | | salaryMin | integer | - | Minimum salary filter (JPY) | | maxResults | integer | 500 | Maximum results to return | | source | enum | "kyujinbox" | Data source | ### Legal Compliance - **No PII collected**: Only business/company metadata is extracted - **robots.txt compliant**: Respects all Disallow rules - **Rate limited**: Maximum 40 requests per minute with built-in delays - **Metadata only**: No copyrighted content (job descriptions, images) is copied - **Japan TDM provisions**: Operates under Article 30-4 of Japan Copyright Law ### Pricing $3.00 per 1,000 results (Apify PPE billing) ### Support For issues or feature requests, please open an issue on the actor's GitHub repository. # Actor input Schema ## `keyword` (type: `string`): Job search keyword (e.g., 'エンジニア', 'プログラマー', '営業') ## `location` (type: `string`): Location filter (e.g., '東京', '大阪', '福岡') ## `employmentType` (type: `string`): Filter by employment type ## `salaryMin` (type: `integer`): Minimum salary filter in JPY (annual) ## `maxResults` (type: `integer`): Maximum number of job listings to scrape ## `source` (type: `string`): Data source to scrape ## Actor input object example ```json { "keyword": "エンジニア", "location": "", "maxResults": 500, "source": "kyujinbox" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keyword": "エンジニア" }; // Run the Actor and wait for it to finish const run = await client.actor("hitujino56/jp-jobs").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "keyword": "エンジニア" } # Run the Actor and wait for it to finish run = client.actor("hitujino56/jp-jobs").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 '{ "keyword": "エンジニア" }' | apify call hitujino56/jp-jobs --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hitujino56/jp-jobs", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Japan Job Listings Scraper", "description": "Scrapes Japanese job listings from 求人ボックス (Kyujin Box). Extracts job title, company, location, salary, employment type, and more. Supports keyword search, location filtering, and employment type filtering. Outputs structured JSON with salary normalization.", "version": "0.1", "x-build-id": "aOiB411qMzoojHgHa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hitujino56~jp-jobs/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hitujino56-jp-jobs", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hitujino56~jp-jobs/runs": { "post": { "operationId": "runs-sync-hitujino56-jp-jobs", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hitujino56~jp-jobs/run-sync": { "post": { "operationId": "run-sync-hitujino56-jp-jobs", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "keyword": { "title": "Search Keyword", "type": "string", "description": "Job search keyword (e.g., 'エンジニア', 'プログラマー', '営業')", "default": "求人" }, "location": { "title": "Location", "type": "string", "description": "Location filter (e.g., '東京', '大阪', '福岡')", "default": "" }, "employmentType": { "title": "Employment Type", "enum": [ "fulltime", "parttime", "contract", "dispatch" ], "type": "string", "description": "Filter by employment type" }, "salaryMin": { "title": "Minimum Salary (JPY)", "type": "integer", "description": "Minimum salary filter in JPY (annual)" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of job listings to scrape", "default": 500 }, "source": { "title": "Source", "enum": [ "kyujinbox" ], "type": "string", "description": "Data source to scrape", "default": "kyujinbox" } } }, "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 } } } } } } } } } } ```