# MyNavi Scraper: Sourcing Japan Mid-Career Jobs (`getascraper/mynavi-scraper`) Actor Scrape Japan mid-career vacancies on MyNavi Tenshoku. Get annual JPY salaries, remote-work status, and complete corporate profile tables (headquarters address, capital, revenue). Perfect for Excel, Google Sheets, or any ATS. $1.99 per 1,000 results. - **URL**: https://apify.com/getascraper/mynavi-scraper.md - **Developed by:** [GetAScraper](https://apify.com/getascraper) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 jobs 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 ## MyNavi Tenshoku Scraper: Japan Mid-Career Job Vacancies Get live Japan mid-career job postings: JPY annual salary ranges, company profile details, benefits, and rich description metadata. Ready for your spreadsheet in under 60 seconds. MyNavi Tenshoku (マイナビ転職, tenshoku.mynavi.jp) is Japan's largest professional mid-career job board. This Scraper extracts structured job listings, JPY salaries, and corporate profile details directly from CloudFront-protected pages using high-speed Cheerio HTML parsing and structured JobPosting JSON-LD. No complex setups. No API keys. ### What does MyNavi Tenshoku Scraper do? The Actor crawls listing feeds on MyNavi Tenshoku, converting Japanese professional vacancies and structural data scripts into clean, machine-readable datasets. It is optimized to use Apify's advanced platform capabilities: - **Rich Corporate Metadata**: Parses company profile tables to extract physical headquarters addresses, capital, annual revenue, employee counts, and interview loops. - **Automatic Salary Normalization**: Parses complex Japanese first-year annual income ranges (e.g. 450万円～800万円) into standardized JPY minimum and maximum integers. - **WAF Bypass with Mobile Headers**: Setting an iPhone browser User-Agent natively bypasses CloudFront's desktop challenges. Direct Cheerio HTTP crawling works unblocked with zero browser overhead and zero proxy requirements. - **Deduplicated Job Feeds**: Maintains state to prevent double-counting across overlapping listings, delivering clean, unique vacancy records. ### Who is this for - **I am a recruiting agency director** looking to identify expanding Japanese companies. I need to extract complete corporate details (established date, capital, revenue, employee counts, headquarters) for high-intent B2B sales prospecting. - **I am an HR consultant** benchmarking professional salaries and flexible work hours in Japan. I need structured, normalized JPY annual salary minimums and maximums across prefectures and industries. - **I am a career dashboard founder** backfilling my Japan job board. I need a stable JSON feed with direct application links, remote-work status, and deduplicated listing records. - **I am a database administrator** syncing international corporate hiring metrics. I need plain-text job descriptions and qualification requirements ready for my databases. ### How to use 1. **Configure Search**: Enter your search `keyword` (e.g. *エンジニア*) and select a target `prefectureCode` JIS code (e.g. *13* for Tokyo), or provide direct search `startUrls`. 2. **Limit Results**: Define `maxItems` to restrict dataset records and manage budgets. 3. **Toggle Detailed Parse**: Enable `fetchDetails` and `scrapeCorporateDetails` to collect full descriptions and corporate tables. Disable them for a super-fast, cheap listing-only run. 4. **Execute Run**: Click the **Start** button. Once finished, download your structured job records as JSON, CSV, Excel, or HTML. ### Input | Field | Type | Description | Default | |---|---|---|---| | `startUrls` | Array | Optional direct search or job detailed URLs to crawl. Overrides keyword and prefecture filters. | `[]` | | `keyword` | String | Search keyword for position titles or specialties (e.g. "営業", "エンジニア"). | `"エンジニア"` | | `prefectureCode` | String | Filter by prefecture code (JIS X 0401 standard, e.g. "13" for Tokyo, "0" for all). | `"0"` | | `employmentType` | String | Filter by employment contract type (正社員, 契約社員, etc.). | `"all"` | | `remoteOnly` | Boolean | If enabled, only listings offering remote work options are included. | `false` | | `fetchDetails` | Boolean | Whether to fetch detailed pages for structured salaries and requirements. | `true` | | `scrapeCorporateDetails` | Boolean | Whether to parse company profile tables (revenue, capital, headquarters, interview loops). | `true` | | `maxItems` | Integer | Maximum number of job records to collect in total. | `100` | | `maxConcurrency` | Integer | Maximum parallel page requests. | `8` | | `proxyConfiguration` | Object | Proxy routing. Mobile UA bypass means proxies are optional. | `{"useApifyProxy": false}` | ### Output Every record outputs with the canonical listing URL and company metadata. **Example row** ```json { "job_id": "197220-1-169-1", "title": "IT部門スタッフ", "company_name": "株式会社クレディセゾン", "url": "https://tenshoku.mynavi.jp/jobinfo-197220-1-169-1/", "overview": "※■【IT部門スタッフ】未経験歓迎／年間休日125日／転勤なし", "employment_type": "正社員", "conditions": [ "リモートワーク可", "完全週休2日制", "職種・業種未経験OK" ], "is_remote": true, "is_new": true, "date_posted": "2026-06-05T00:00:00.000Z", "date_expiry": "2026-07-02T23:59:59.000Z", "salary_snippet": "月給272,400円〜+各種手当", "first_year_income": "450万円～800万円", "salary_min": 4500000, "salary_max": 8000000, "locations": [ { "region": "東京都", "city": "新宿区" }, { "region": "東京都", "city": "豊島区" } ], "work_hours": "8:45～17:15", "description_text": "当社のIT部門スタッフとして、システムに関する何かしらの知見・経験を有している方向けに、社内システムの構築やヘルプデスク等のトータルサポートを行います...", "description_html": "当社のIT部門スタッフとして...", "requirements_text": "【必須条件】システムに関する何かしらの知見・経験を有していること...", "benefits": "社会保険完備、401(k)、交通費全額支給、各種祝金...", "established_date": "1951年5月", "capital": "1,500億円", "revenue": "3,400億円", "employee_count": "3,200名", "representative": "代表取締役社長　水野雅貴", "headquarters_address": "東京都豊島区東池袋三丁目1番1号 サンシャイン60", "company_website": "https://www.saisoncard.co.jp/", "interview_loops": "基本的には2回です", "scraped_at": "2026-06-07T10:58:32.122Z" } ```` You can download the dataset in JSON, HTML, CSV, or Excel from the Apify Console dataset tab. ### Data table | Field | Type | Description | |---|---|---| | `job_id` | String | Unique MyNavi internal job identifier (e.g. 197220-1-169-1). | | `title` | String | Job position vacancy title. | | `company_name` | String | Hiring company name. | | `url` | String | Direct detail link on Mynavi. | | `overview` | String | One-line job headline/overview. | | `employment_type` | String | Employment classification in Japanese. | | `conditions` | Array | List of condition/feature tags. | | `is_remote` | Boolean | True if any remote-work tag is present. | | `is_new` | Boolean | True if new vacancy label is shown. | | `date_posted` | String | ISO formatted publication date. | | `date_expiry` | String | ISO formatted application closing date. | | `salary_snippet` | String | Raw salary text. | | `first_year_income` | String | Listed first-year annual income range. | | `salary_min` | Number | Normalized minimum annual salary in JPY. | | `salary_max` | Number | Normalized maximum annual salary in JPY. | | `locations` | Array | List of structured location objects. | | `work_hours` | String | Work shift or schedule details. | | `description_text` | String | Clean plain-text job responsibilities. | | `requirements_text` | String | Clean plain-text qualifications. | | `benefits` | String | Clean plain-text benefits. | | `expected_openings` | String | Stated number of openings. | | `established_date` | String | Corporate establishment date. | | `capital` | String | Stated corporate capital. | | `revenue` | String | Stated annual sales/revenue. | | `employee_count` | String | Stated total employee count. | | `representative` | String | Corporate representative/CEO name. | | `business_description`| String | Corporate business outline. | | `headquarters_address`| String | Stated physical headquarters street address. | | `branches` | String | List of local branches and offices. | | `company_website` | String | Stated corporate website URL. | | `interview_loops` | String | Stated number of interviews required (e.g. 基本的には2回). | | `interview_locations`| String | Stated interview locations. | | `scraped_at` | String | Scraping execution timestamp. | ### API quickstart **Curl** ```bash curl --request POST \ --url "https://api.apify.com/v2/acts/getascraper~mynavi-scraper/runs?token=YOUR_API_TOKEN" \ --header 'Content-Type: application/json' \ --data '{ "keyword": "エンジニア", "maxItems": 100 }' ``` **Python** ```python from apify_client import ApifyClient client = ApifyClient('YOUR_API_TOKEN') run = client.actor('getascraper/mynavi-scraper').call( run_input={ 'keyword': 'エンジニア', 'maxItems': 100, } ) for item in client.dataset(run['defaultDatasetId']).iterate_items(): print(item) ``` **Node.js** ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client .actor('getascraper/mynavi-scraper') .call({ keyword: 'エンジニア', maxItems: 100, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` ### Pricing Pay-per-result and billed per row successfully saved to your dataset. Empty runs and blocked requests cost exactly $0.00. - **Rate:** $1.99 per 1,000 results ($0.00199 per result) - **100 listings** typically cost **$0.20** - **1,000 listings** cost exactly **$1.99** - **10,000 listings** cost exactly **$19.90** - No fixed monthly subscriptions or hidden maintenance fees Your Apify subscription tier applies an automatic volume discount on top of the per-result rate. ### FAQ ##### Does it get blocked? Tenshoku.mynavi.jp employs strict desktop challenges that block standard automated requests. This Actor bypasses these challenges by setting the Request User-Agent to an iPhone mobile browser. It runs unblocked on direct HTTP connections. Proxies are optional. ##### Does it extract private candidate profiles? The scraper only extracts publicly visible mid-career listings published by employers on the Mynavi corporate website. It does not collect private candidate CVs or personal information. ##### How fresh is the data? Every run crawls Tenshoku.mynavi.jp live, ensuring you receive the exact, real-time vacancies currently open. There are no stale databases or cached layers. Each row contains a `scrapedAt` ISO 8601 timestamp. ### Legal compliance This Actor only extracts data that is publicly visible on Tenshoku.mynavi.jp. Users must comply with local privacy regulations and the platform's terms of service. MyNavi is a trademark of Recruit Co. Ltd. This is an independent scraping tool and is not affiliated with, endorsed by, or sponsored by Recruit Co. Ltd. ### Support Open an issue on the Issues tab for bugs, feature requests, or layout additions. We respond within 48 hours. # Actor input Schema ## `startUrls` (type: `array`): Optional direct MyNavi search listing URLs to crawl. If provided, overrides search filters. ## `keyword` (type: `string`): Search keyword for roles, titles, or skills (e.g. 'エンジニア', 'IT', '営業'). ## `prefectureCode` (type: `string`): Filter by Japanese prefecture. ## `employmentType` (type: `string`): Filter by Japanese employment contract type. ## `remoteOnly` (type: `boolean`): If enabled, only listings tagged with remote/telework options are included. ## `fetchDetails` (type: `boolean`): If enabled, crawls deep into vacancy pages to extract full details. ## `scrapeCorporateDetails` (type: `boolean`): If enabled, also parses the advanced company profile tables (capital, employees). ## `maxItems` (type: `integer`): Maximum number of job listings to save per run. ## `maxConcurrency` (type: `integer`): Maximum number of parallel requests. ## `maxRequestRetries` (type: `integer`): Number of times a request will be retried if it fails. ## `proxyConfiguration` (type: `object`): Optional proxies to bypass rate limitations. ## Actor input object example ```json { "startUrls": [], "keyword": "エンジニア", "prefectureCode": "0", "employmentType": "all", "remoteOnly": false, "fetchDetails": true, "scrapeCorporateDetails": true, "maxItems": 50, "maxConcurrency": 8, "maxRequestRetries": 3, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (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 = { "startUrls": [], "keyword": "エンジニア", "prefectureCode": "0", "employmentType": "all", "remoteOnly": false, "fetchDetails": true, "scrapeCorporateDetails": true, "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("getascraper/mynavi-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 = { "startUrls": [], "keyword": "エンジニア", "prefectureCode": "0", "employmentType": "all", "remoteOnly": False, "fetchDetails": True, "scrapeCorporateDetails": True, "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("getascraper/mynavi-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 '{ "startUrls": [], "keyword": "エンジニア", "prefectureCode": "0", "employmentType": "all", "remoteOnly": false, "fetchDetails": true, "scrapeCorporateDetails": true, "maxItems": 50 }' | apify call getascraper/mynavi-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getascraper/mynavi-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "MyNavi Scraper: Sourcing Japan Mid-Career Jobs", "description": "Scrape Japan mid-career vacancies on MyNavi Tenshoku. Get annual JPY salaries, remote-work status, and complete corporate profile tables (headquarters address, capital, revenue). Perfect for Excel, Google Sheets, or any ATS. $1.99 per 1,000 results.", "version": "0.1", "x-build-id": "KxFfnSAhaXBzTZ68z" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getascraper~mynavi-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getascraper-mynavi-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/getascraper~mynavi-scraper/runs": { "post": { "operationId": "runs-sync-getascraper-mynavi-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/getascraper~mynavi-scraper/run-sync": { "post": { "operationId": "run-sync-getascraper-mynavi-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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Optional direct MyNavi search listing URLs to crawl. If provided, overrides search filters.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "keyword": { "title": "Search Keyword", "type": "string", "description": "Search keyword for roles, titles, or skills (e.g. 'エンジニア', 'IT', '営業')." }, "prefectureCode": { "title": "Prefecture Filter", "enum": [ "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47" ], "type": "string", "description": "Filter by Japanese prefecture.", "default": "0" }, "employmentType": { "title": "Employment Type", "enum": [ "all", "正社員", "契約社員", "パート・アルバイト", "業務委託" ], "type": "string", "description": "Filter by Japanese employment contract type.", "default": "all" }, "remoteOnly": { "title": "Remote Only", "type": "boolean", "description": "If enabled, only listings tagged with remote/telework options are included.", "default": false }, "fetchDetails": { "title": "Fetch Full Details", "type": "boolean", "description": "If enabled, crawls deep into vacancy pages to extract full details.", "default": true }, "scrapeCorporateDetails": { "title": "Scrape Corporate Profiles", "type": "boolean", "description": "If enabled, also parses the advanced company profile tables (capital, employees).", "default": true }, "maxItems": { "title": "Max Items", "minimum": 1, "type": "integer", "description": "Maximum number of job listings to save per run.", "default": 100 }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "type": "integer", "description": "Maximum number of parallel requests.", "default": 8 }, "maxRequestRetries": { "title": "Max Request Retries", "minimum": 0, "type": "integer", "description": "Number of times a request will be retried if it fails.", "default": 3 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional proxies to bypass rate limitations.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```