# 104 人力銀行爬蟲｜職缺、數字化薪資、JD、技能標籤一鍵匯出（免 API） (`claude_code_reviewer/104-scraper`) Actor 免登入抓 104 人力銀行職缺：關鍵字搜尋列表與職缺詳情，薪資解析成數字，含公司、地區、產業、JD 全文與技能標籤，輸出 JSON／CSV／Excel。HR 分析、薪資 benchmark、人才市場研究必備。 - **URL**: https://apify.com/claude\_code\_reviewer/104-scraper.md - **Developed by:** [Chad](https://apify.com/claude_code_reviewer) (community) - **Categories:** Agents, Jobs, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 職缺搜尋 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 ## 104人力銀行爬蟲（104 Scraper） 抓取 [104.com.tw](https://www.104.com.tw) 職缺搜尋列表。**薪資解析成數字**（`salary_min` / `salary_max`），可直接進 Excel、Tableau、dashboard 分析——這是跟市面上多數競品最大的差異（競品吐原始字串，這隻吐整數）。 > v1.0 為**搜尋模式**（含工作內容全文、技能標籤）。職缺詳情頁（完整福利制度、學歷/年資文字、招募人數）與公司檔案模式計畫於 **v1.1** 推出。 ### 輸出欄位 | 欄位 | 說明 | |------|------| | `job_id` | 職缺 ID（104 jobNo） | | `title` | 職缺名稱 | | `company_id` | 公司 ID | | `company_name` | 公司名稱 | | `industry` | 行業別（文字） | | `salary_min` | 薪資下限（整數，面議為 `null`） | | `salary_max` | 薪資上限（整數，面議為 `null`） | | `salary_desc` | 薪資說明（面議時為 `"面議"`） | | `salary_type` | 薪資類型代碼（搜尋模式無此資料，固定為 `null`；v1.1 詳情模式提供） | | `area` | 工作地區（行政區） | | `address` | 工作地址 | | `job_type` | 工作型態代碼 | | `experience_required` | 工作年資要求（代碼，文字化計畫於 v1.1） | | `education_required` | 學歷要求（代碼清單，逗號分隔） | | `skills` | 技能標籤（陣列，合併職缺標籤與技能） | | `description` | 工作內容全文 | | `benefits` | 福利制度（搜尋模式無此資料，固定為 `null`；v1.1 詳情模式提供） | | `remote_option` | 遠端選項代碼（0=不可，1=可，2=全遠端） | | `headcount` | 招募人數（搜尋模式無此資料，固定為 `null`；v1.1 詳情模式提供） | | `posted_at` | 刊登日（ISO 日期，如 `2026-06-30`） | | `job_url` | 職缺連結 | | `source_mode` | 來源模式（固定為 `search`） | | `source_query` | 查詢條件（關鍵字） | | `scraped_at` | 抓取時間（ISO 8601） | 缺值一律補 `null`，不省略欄位。 ### 模式 | mode | 輸入 | 輸出 | 費用／筆 | |------|------|------|---------| | `search` | 關鍵字（`keywords` 或 `bulkInput`） | 職缺列表（含描述全文） | $0.002 | ### 輸入欄位 | 欄位 | 型別 | 說明 | 預設 | |------|------|------|------| | `mode` | string | 目前僅支援 `"search"` | `"search"` | | `keywords` | string[] | 搜尋關鍵字，最多 50 個 | — | | `bulkInput` | string | 一行一個關鍵字，自動合併至 `keywords` | — | | `maxItems` | integer | 每個關鍵字最多幾筆，1–500 | 50 | | `proxyConfiguration` | object | Apify Proxy 設定（通常不需要） | 不開 | ### 輸入範例 **單一關鍵字** ```json { "mode": "search", "keywords": ["後端工程師"], "maxItems": 100 } ```` **多關鍵字** ```json { "mode": "search", "keywords": ["後端工程師", "DevOps"], "maxItems": 50 } ``` **批量搜尋（從 Excel 整欄貼上）** ```json { "mode": "search", "bulkInput": "前端工程師\n行銷企劃\n產品經理", "maxItems": 50 } ``` ### 注意事項 - **Cloudflare 保護**：104 全站有 Cloudflare JS 挑戰，`curl` 直打會 403。本 Actor 使用 got-scraping（模擬瀏覽器 TLS 指紋）繞過，通常不需要 Proxy。若遇到被擋，可開啟 `proxyConfiguration` 使用 Apify Residential Proxy。 - **薪資欄位**：`salaryLow`／`salaryHigh` 為 0 時表示面議，`salary_min`／`salary_max` 給 `null`，`salary_desc` 給 `"面議"`。 - **stale-stop**：連續 5 頁都沒有新職缺時自動停止，避免空轉浪費費用。 - **計費**：PPE 模式，只在資料成功寫入 dataset 後才計費。Run 結束後 log 印出 `total_items / charged / skipped` 供對帳。 ### FAQ **Q：可以用來監控特定關鍵字的新職缺嗎？** A：可以。用 Apify 排程（Schedules）每天執行一次，搭配 `maxItems` 控制抓取量，適合 HR 市調或競業薪資分析。 **Q：為什麼有些職缺 `salary_min`／`salary_max` 是 `null`？** A：104 的「面議」職缺不公開薪資數字，這類職缺 `salary_desc` 會是 `"面議"`。 **Q：有職缺詳情（完整福利制度、公司檔案）模式嗎？** A：v1.0 僅提供搜尋模式，但 search 回應已包含工作內容全文。職缺詳情（福利制度全文、學歷/年資文字化、招募人數）與公司檔案模式計畫在 **v1.1** 加入。 **Q：支援篩選地區或工作類型嗎？** A：v1.0 用關鍵字搜尋。地區篩選（area code）與工作類型篩選計畫在 v1.1 加入。 ### 免責聲明 本工具僅供學術研究與個人資料分析使用。請遵守 104.com.tw 使用條款，勿過度抓取或用於商業競爭行為。作者不負任何因使用本工具造成的法律責任。 *** 104爬蟲、104 API、職缺資料、薪資行情、人力銀行數據、招募市調、台灣職缺、HR分析、job scraper Taiwan、104.com.tw scraper、職缺自動化、薪資數字化 # Actor input Schema ## `mode` (type: `string`): 要抓什麼？目前僅支援關鍵字搜尋（職缺詳情頁計畫於 v1.1 推出）。 ## `keywords` (type: `array`): 搜尋關鍵字。例如：後端工程師、行銷企劃、會計師。 ## `bulkInput` (type: `string`): **一行一個關鍵字**，按 Enter 換行。從 Excel 複製整欄貼進來最快。 ## `maxItems` (type: `integer`): 每個關鍵字最多抓幾筆。越多費用越高。 ## `proxyConfiguration` (type: `object`): 104 掛 Cloudflare，got-scraping 通常可直連。若遇到被擋才建議開啟。 ## Actor input object example ```json { "mode": "search", "keywords": [ "後端工程師" ], "maxItems": 50, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `dataset` (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 = { "mode": "search", "keywords": [ "後端工程師" ] }; // Run the Actor and wait for it to finish const run = await client.actor("claude_code_reviewer/104-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 = { "mode": "search", "keywords": ["後端工程師"], } # Run the Actor and wait for it to finish run = client.actor("claude_code_reviewer/104-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 '{ "mode": "search", "keywords": [ "後端工程師" ] }' | apify call claude_code_reviewer/104-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=claude_code_reviewer/104-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "104 人力銀行爬蟲｜職缺、數字化薪資、JD、技能標籤一鍵匯出（免 API）", "description": "免登入抓 104 人力銀行職缺：關鍵字搜尋列表與職缺詳情，薪資解析成數字，含公司、地區、產業、JD 全文與技能標籤，輸出 JSON／CSV／Excel。HR 分析、薪資 benchmark、人才市場研究必備。", "version": "1.0", "x-build-id": "xNRixWxDCX8dmodiw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/claude_code_reviewer~104-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-claude_code_reviewer-104-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/claude_code_reviewer~104-scraper/runs": { "post": { "operationId": "runs-sync-claude_code_reviewer-104-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/claude_code_reviewer~104-scraper/run-sync": { "post": { "operationId": "run-sync-claude_code_reviewer-104-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "🎯 模式", "enum": [ "search" ], "type": "string", "description": "要抓什麼？目前僅支援關鍵字搜尋（職缺詳情頁計畫於 v1.1 推出）。", "default": "search" }, "keywords": { "title": "🔎 關鍵字", "maxItems": 50, "uniqueItems": true, "type": "array", "description": "搜尋關鍵字。例如：後端工程師、行銷企劃、會計師。", "items": { "type": "string" } }, "bulkInput": { "title": "📋 批量貼上", "type": "string", "description": "**一行一個關鍵字**，按 Enter 換行。從 Excel 複製整欄貼進來最快。" }, "maxItems": { "title": "📊 最多抓幾筆", "minimum": 1, "maximum": 500, "type": "integer", "description": "每個關鍵字最多抓幾筆。越多費用越高。", "default": 50 }, "proxyConfiguration": { "title": "🌐 Proxy（進階，通常不用開）", "type": "object", "description": "104 掛 Cloudflare，got-scraping 通常可直連。若遇到被擋才建議開啟。", "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 } } } } } } } } } } ```