# Baitoru Jobs Scraper (`jobscrawler/baitoru-jobs-scraper`) Actor Scrape part-time and full-time job listings from Baitoru (バイトル), Japan's popular employment platform. - **URL**: https://apify.com/jobscrawler/baitoru-jobs-scraper.md - **Developed by:** [Jobs Scraper](https://apify.com/jobscrawler) (community) - **Categories:** Jobs, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Baitoru Jobs Scraper ### Overview Access Baitoru (バイトル), one of Japan's most popular job platforms for part-time, temporary, and full-time positions. This actor automates the extraction of job listings including compensation details, work schedules, and employer information from the Japanese employment market. ### Features - Part-time (アルバイト) and full-time (正社員) job extraction - Japanese location and station-based filtering - Hourly and monthly wage data capture - Work schedule and shift information - 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 ### Output Format Each scraped listing produces a JSON object with these fields: ```json { "job_id": "採コボ 26051W20★15", "job_url": "https://s.baitoru.com/DW0aO4vE", "employment_type": "正社員", "bonus": "10,000円", "company_name": "株式会社ＣＡＰサービス", "job_title": "【簡単もくもく作業】内勤受付事務", "location": "東京都渋谷区 / 渋谷駅", "job_category": [ "データ入力", "タイピング(PC・パソコン・インターネット)", "企画・マーケティング", "法人営業" ], "salary": "月給22.6万円〜", "working_hours": "09:00〜18:00", "tags": [ "シフト相談", "短期", "未経験OK", "主婦(夫)", "交通費有" ], "age_group": [ "20代", "30代", "40代" ], "gender_ratio": { "male": "low", "female": "high" }, "work_style": "一人で → 大勢で", "workplace_environment": "しずか → にぎやか", "image_url": "https://image-cdn.baitoru.com/images_job_BS/557100/2604W20.jpg", "apply_url": "https://www.baitoru.com/entry/form/job159697098" } ```` ### Proxy Handling The scraper uses intelligent proxy selection to maintain consistent access. 1. **Apify Residential Proxy** (country-targeted) — First choice for Baitoru 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 Robust retry mechanics recover from network errors and temporary blocks. - 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 The scraper simulates genuine browsing patterns to avoid triggering protections. - `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", "maxItems": 25, "proxyEnabled": true, "sortBy": "date", "remoteOnly": false } ``` ### Sample Output ```json { "job_id": "採コボ 26051W20★15", "job_url": "https://s.baitoru.com/DW0aO4vE", "employment_type": "正社員", "bonus": "10,000円", "company_name": "株式会社ＣＡＰサービス", "job_title": "【簡単もくもく作業】内勤受付事務", "location": "東京都渋谷区 / 渋谷駅", "job_category": [ "データ入力", "タイピング(PC・パソコン・インターネット)", "企画・マーケティング", "法人営業" ], "salary": "月給22.6万円〜", "working_hours": "09:00〜18:00", "tags": [ "シフト相談", "短期", "未経験OK", "主婦(夫)", "交通費有" ], "age_group": [ "20代", "30代", "40代" ], "gender_ratio": { "male": "low", "female": "high" }, "work_style": "一人で → 大勢で", "workplace_environment": "しずか → にぎやか", "image_url": "https://image-cdn.baitoru.com/images_job_BS/557100/2604W20.jpg", "apply_url": "https://www.baitoru.com/entry/form/job159697098" } ``` ### 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 - Baitoru 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. ## `location` (type: `string`): City, state, or region to search in. ## `country` (type: `string`): Country code or name. ## `maxItems` (type: `integer`): Maximum number of job listings to scrape. ## `proxyEnabled` (type: `boolean`): Enable proxy rotation for anti-blocking. ## `sortBy` (type: `string`): Sort order for results. ## `jobType` (type: `string`): Filter by employment type (full-time, part-time, contract, etc.). ## `experienceLevel` (type: `string`): Filter by seniority (entry, mid, senior, etc.). ## `datePosted` (type: `string`): Filter by posting recency. ## `remoteOnly` (type: `boolean`): Only return remote/work-from-home positions. ## `includeCompanyDetails` (type: `boolean`): Extract additional company information when available. ## `includeSalary` (type: `boolean`): Extract salary/compensation details when available. ## Actor input object example ```json { "keyword": "software engineer", "location": "東京", "country": "JP", "maxItems": 10, "proxyEnabled": true, "sortBy": "relevance", "jobType": "", "experienceLevel": "", "datePosted": "", "remoteOnly": false, "includeCompanyDetails": true, "includeSalary": true } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("jobscrawler/baitoru-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("jobscrawler/baitoru-jobs-scraper").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 '{}' | apify call jobscrawler/baitoru-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jobscrawler/baitoru-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Baitoru Jobs Scraper", "description": "Scrape part-time and full-time job listings from Baitoru (バイトル), Japan's popular employment platform.", "version": "1.0", "x-build-id": "nmhxZRrRbQHwWPP9g" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jobscrawler~baitoru-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jobscrawler-baitoru-jobs-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jobscrawler~baitoru-jobs-scraper/runs": { "post": { "operationId": "runs-sync-jobscrawler-baitoru-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jobscrawler~baitoru-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-jobscrawler-baitoru-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 title or keywords to search for.", "default": "software engineer" }, "location": { "title": "Location", "type": "string", "description": "City, state, or region to search in.", "default": "東京" }, "country": { "title": "Country", "type": "string", "description": "Country code or name.", "default": "JP" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of job listings to scrape.", "default": 10 }, "proxyEnabled": { "title": "Enable Proxy", "type": "boolean", "description": "Enable proxy rotation for anti-blocking.", "default": true }, "sortBy": { "title": "Sort By", "enum": [ "relevance", "date", "salary" ], "type": "string", "description": "Sort order for results.", "default": "relevance" }, "jobType": { "title": "Job Type", "type": "string", "description": "Filter by employment type (full-time, part-time, contract, etc.).", "default": "" }, "experienceLevel": { "title": "Experience Level", "type": "string", "description": "Filter by seniority (entry, mid, senior, etc.).", "default": "" }, "datePosted": { "title": "Date Posted", "enum": [ "", "24h", "3d", "7d", "14d", "30d" ], "type": "string", "description": "Filter by posting recency.", "default": "" }, "remoteOnly": { "title": "Remote Only", "type": "boolean", "description": "Only return remote/work-from-home positions.", "default": false }, "includeCompanyDetails": { "title": "Include Company Details", "type": "boolean", "description": "Extract additional company information when available.", "default": true }, "includeSalary": { "title": "Include Salary", "type": "boolean", "description": "Extract salary/compensation details when available.", "default": true } } }, "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 } } } } } } } } } } ```