# 鉅亨網爬蟲｜台股報價、財經新聞、輿情一鍵匯出（免 API） (`claude_code_reviewer/cnyes-scraper`) Actor 免登入抓鉅亨網財經資料：財經新聞列表／搜尋與台股個股即時報價，含漲跌、當日高低與 52 週高低，輸出 JSON／CSV／Excel。金融數據、量化研究、輿情分析必備。 - **URL**: https://apify.com/claude\_code\_reviewer/cnyes-scraper.md - **Developed by:** [Chad](https://apify.com/claude_code_reviewer) (community) - **Categories:** AI, Automation, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 財經新聞 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 ## 鉅亨網爬蟲｜台股報價、財經新聞一鍵下載（免 API、免登入） 一個 Actor 搞定鉅亨網（cnyes.com）兩種你會用到的抓取模式：**財經新聞**（分類列表或關鍵字搜尋，含相關個股標籤）與**個股即時報價**（台股上市代號，最新價、漲跌、高低價）。不需要登入、不需要 API token，批量貼上關鍵字或股票代號都吃得下。全程走 cnyes 官方 JSON 端點，不開瀏覽器，速度快、成本低。 給誰用的：做財經輿情分析的、跑量化 dashboard 需要股價時序的、寫市場調查報告的、追蹤特定產業新聞流的、論文需要財經資料集的、自己寫 side project 的工程師。 --- ### 能抓到什麼 每一筆資料都會拿到下面這些欄位（缺值一律回 `null`，不會少欄位；`news`/`quote` 兩組欄位共用一張表，當下模式沒填的欄位一律 `null`）： | 欄位 | 說明 | 範例 | 可用模式 | | ---------------- | -------------------------- | ---------------------------------------- | -------- | | `title` | 新聞標題 | `台積電法說會釋利多` | news 只 | | `summary` | 新聞摘要 | — | news 只 | | `content` | 新聞內文（HTML） | — | news 只 | | `source` | 新聞來源 | `鉅亨網` | news 只 | | `category` | 分類名稱 | `台股新聞` | news 只 | | `related_stocks` | 相關個股代號陣列（從新聞內文標記的關聯個股解析出代號） | `["3130"]` | news 只 | | `keyword` | 新聞關鍵字標籤（逗號串接） | `台積電,晶圓代工` | news 只 | | `published_at` | 發布時間（ISO 8601） | `2026-07-04T04:51:37.000Z` | news 只 | | `news_url` | 新聞網址 | `https://news.cnyes.com/news/id/6522436` | news 只 | | `stock_code` | 股票代號 | `2330` | quote 只 | | `symbol` | cnyes 內部代碼 | `TWS:2330:STOCK` | quote 只 | | `last_price` | 最新價 | `2445` | quote 只 | | `change` | 漲跌（元） | `-20` | quote 只 | | `change_pct` | 漲跌幅（%） | `-0.81` | quote 只 | | `day_high` | 當日最高 | `2465` | quote 只 | | `day_low` | 當日最低 | `2415` | quote 只 | | `day_open` | 開盤價 | `2415` | quote 只 | | `prev_close` | 昨收價 | `2465` | quote 只 | | `week52_high` | 52 週最高 | `2710` | quote 只 | | `week52_low` | 52 週最低 | `2220` | quote 只 | | `volume` | 成交量（v1.0 一律 `null`） | — | — | | `quote_time` | 報價時間（ISO 8601） | `2026-07-03T05:30:00.000Z` | quote 只 | | `quote_url` | 個股報價頁網址 | `https://www.cnyes.com/twstock/2330` | quote 只 | | `source_mode` | 這筆從哪個模式來的 | `news`、`quote` | 兩者 | | `source_query` | 抓取時用的查詢條件 | `tw_stock`、`台積電`、`2330` | 兩者 | | `scraped_at` | 抓取當下時間（ISO 8601） | `2026-07-03T05:39:30.164Z` | 兩者 | **重要：`news` 模式只填新聞相關欄位，`quote` 模式相關欄位一律 `null`；反之亦然。`volume`（成交量）v1.0 一律 `null`，cnyes 即時報價端點的成交量碼待對照確認，規劃於 v1.1 補齊。** --- ### 兩種模式一個爬蟲 | 模式 | 幹嘛用的 | 計費事件 | 單價 | | ------------ | -------------------------------------------- | ------------------------ | ------ | | 📰 **news** | 財經新聞：分類列表（如台股新聞）或關鍵字搜尋 | `search-listing`（每筆） | $0.002 | | 📈 **quote** | 依股票代號抓台股上市個股即時報價 | `product-detail`（每筆） | $0.008 | 不管跑哪個模式，每次 Run 啟動都會額外收一次性的 `actor-start` 費用 **$0.005**。所有計費都在資料成功寫入 dataset **之後**才會收，Run 結束時 log 會印出 `total_items / charged / skipped` 讓你對帳。 一次跑一個 mode，從 Apify Console 的下拉選單選就好。 --- ### 輸入欄位 | 欄位 | 型別 | 必填 | 預設 | 說明 | | -------------- | -------- | :--------------: | :--------: | ------------------------------------------------------------------------------------------------------------------------ | | `mode` | enum | 建議填 | `news` | `news`（財經新聞）/ `quote`（個股報價）擇一。 | | `newsCategory` | string | 選填 | `tw_stock` | 財經新聞分類代碼，常見：`tw_stock`（台股）、`headline`（焦點）、`tw_money`（理財）。未填 `keywords` 時預設抓這個分類。 | | `keywords` | string[] | 選填 | — | 財經新聞關鍵字搜尋，例如：台積電、聯準會、升息。填了會忽略 `newsCategory`，改用關鍵字搜尋。單次最多 **50** 個。 | | `dateFrom` | string | 選填 | — | 只保留此日期（含）之後發布的新聞，格式 `YYYY-MM-DD`。僅 `news` 模式有效。 | | `dateTo` | string | 選填 | — | 只保留此日期（含）之前發布的新聞，格式 `YYYY-MM-DD`。僅 `news` 模式有效。 | | `stockCodes` | string[] | `quote` 模式必填 | — | 台股上市個股代號，例如 `2330`（台積電）、`2454`（聯發科）、`2317`（鴻海）。單次最多 **100** 檔。 | | `bulkInput` | string | 選填 | — | **一行一個**，按 Enter 換行，不要加引號或逗號。`news` 模式當關鍵字、`quote` 模式當股票代號，執行時自動併入上面對應欄位。 | | `maxItems` | integer | 選填 | `50` | 每個分類/關鍵字最多抓幾筆（`news` 模式，1-500）。`quote` 模式不受此限，依股票代號數量而定。 | --- ### 範例 **📰 分類新聞（台股新聞）** ```json { "mode": "news", "newsCategory": "tw_stock", "maxItems": 15 } ```` **🔎 關鍵字搜尋新聞** ```json { "mode": "news", "keywords": ["台積電"], "maxItems": 10 } ``` **📈 個股即時報價** ```json { "mode": "quote", "stockCodes": ["2330", "2454", "2317"] } ``` *** ### 幾個要注意的地方 - **只抓公開資料**。cnyes 新聞列表與個股報價端點皆為公開 JSON API，不需要登入、不需要 cnyes 帳號，也不會存取任何需要驗證才看得到的內容。 - **不用登入 / 不用 API token**。填好 input 就能跑，沒有任何金鑰要設定。 - **走 cnyes 公開 JSON API，不開瀏覽器**。全程用 `CheerioCrawler` 打 `api.cnyes.com` / `ws.api.cnyes.com` 端點，比 Playwright 省一大截 compute 成本。 - **對站方友善**。每個 domain 併發數 ≤5，遇到失敗會用指數退避重試最多 3 次，不會對 cnyes 伺服器狂發請求。 - **財經新聞 + 即時股價一套抓，適合輿情分析**。`news` 模式的 `related_stocks` 標籤可以跟 `quote` 模式的股價資料交叉比對，做財經輿情與量化 dashboard 的原始資料源。 - **同一新聞若命中分類與關鍵字搜尋，會分別各出一列（依查詢計費）**。`source_query` 會標明這筆資料是哪個分類或關鍵字抓到的。 *** ### 常見問題 **Q: 股票代號怎麼給？** 直接給台股上市代號的數字即可，例如 `2330`、`2454`。爬蟲會自動正規化成 cnyes 內部格式 `TWS:2330:STOCK`；已經是這個格式的輸入也可以直接貼。目前僅支援台股上市（v1.1 規劃上櫃 TWO、指數、ETF）。 **Q: 為什麼沒有成交量（volume）？** cnyes 即時報價端點回傳的是數字代碼（如 `6`=最新價、`11`=漲跌），本次實測驗證了最新價、漲跌、漲跌幅、最高、最低、52 週高低等碼，但成交量對應的碼尚未逐一驗證，為避免猜錯欄位造成誤導，v1.0 一律回 `null`，成交量支援規劃在 v1.1。 **Q: 費用怎麼算？** 每次 Run 啟動收一次 `actor-start`（$0.005）；`news` 模式每筆新聞收 `search-listing`（$0.002）；`quote` 模式每筆報價收 `product-detail`（$0.008）。都是資料成功寫入 dataset 後才收費，Run log 會印出實際收費筆數。 **Q: 抓不到資料怎麼辦？** 先確認新聞分類代碼或關鍵字有沒有打錯字；`quote` 模式則確認股票代號是否為台股上市代號。爬蟲連續 5 次拿不到新資料就會自己停並在 log 寫原因，不會空轉燒錢。 *** ### 部署 ```bash apify login # 首次:貼上 Apify token(不會寫進 repo) apify push # 建置並上傳到 Apify Store ``` 上架後在 Apify Console 的 Monetization 設定 PPE 事件單價： `actor-start` $0.005、`search-listing` $0.002、`product-detail` $0.008。 *** ### 免責聲明 本爬蟲只收集鉅亨網（cnyes.com）**公開可見**的財經新聞與股價資料，資料僅供研究與個人用途使用，不用於任何未經授權的商業轉售。使用前請自行確認符合 cnyes 服務條款與當地法規。所有財經資訊、股價數據**不構成任何投資建議**，投資決策請自行判斷並承擔風險。對於資料的正確性、即時性或完整性，本 Actor 不做任何保證，股價與新聞內容請以 cnyes 官網當下顯示為準。 *** *鉅亨網 爬蟲、cnyes API、台股報價、財經新聞、股價數據、財經輿情* # Actor input Schema ## `mode` (type: `string`): 要抓什麼?選一個模式,填下面對應欄位就好。 ## `newsCategory` (type: `string`): 財經新聞分類代碼,常見:tw\_stock(台股)、headline(焦點)、tw\_money(理財)。未填 keywords 時預設抓 tw\_stock。 ## `keywords` (type: `array`): 財經新聞關鍵字搜尋,例如:台積電、聯準會、升息。填了這裡就會忽略新聞分類,改用關鍵字搜尋。 ## `dateFrom` (type: `string`): 只保留此日期(含)之後發布的新聞,格式 YYYY-MM-DD,例如 2026-07-01。僅新聞模式有效,留空表示不限。 ## `dateTo` (type: `string`): 只保留此日期(含)之前發布的新聞,格式 YYYY-MM-DD。僅新聞模式有效,留空表示不限。 ## `stockCodes` (type: `array`): 台股上市個股代號,例如 2330(台積電)、2454(聯發科)、2317(鴻海)。報價模式用這個,單次最多 100 檔。 ## `bulkInput` (type: `string`): **一行一個**,按 Enter 換行,不要加引號或逗號。新聞模式當關鍵字、報價模式當股票代號,執行時自動併入上面對應欄位。從 Google Sheet / Excel 複製一整欄貼進來最快。 ## `maxItems` (type: `integer`): 每個分類/關鍵字最多抓幾筆(新聞模式)。越多費用越高。報價模式不受此限(依股票代號數量)。 ## `proxyConfiguration` (type: `object`): cnyes 對 datacenter 請求友善,預設不用 proxy 即可運作。只有大量抓取遇到被擋時才建議開啟。 ## Actor input object example ```json { "mode": "news", "newsCategory": "tw_stock", "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": "news", "newsCategory": "tw_stock" }; // Run the Actor and wait for it to finish const run = await client.actor("claude_code_reviewer/cnyes-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": "news", "newsCategory": "tw_stock", } # Run the Actor and wait for it to finish run = client.actor("claude_code_reviewer/cnyes-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": "news", "newsCategory": "tw_stock" }' | apify call claude_code_reviewer/cnyes-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=claude_code_reviewer/cnyes-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "鉅亨網爬蟲｜台股報價、財經新聞、輿情一鍵匯出（免 API）", "description": "免登入抓鉅亨網財經資料：財經新聞列表／搜尋與台股個股即時報價，含漲跌、當日高低與 52 週高低，輸出 JSON／CSV／Excel。金融數據、量化研究、輿情分析必備。", "version": "1.0", "x-build-id": "XuepGg5OqOTEL4iQj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/claude_code_reviewer~cnyes-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-claude_code_reviewer-cnyes-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/claude_code_reviewer~cnyes-scraper/runs": { "post": { "operationId": "runs-sync-claude_code_reviewer-cnyes-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/claude_code_reviewer~cnyes-scraper/run-sync": { "post": { "operationId": "run-sync-claude_code_reviewer-cnyes-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "news", "quote" ], "type": "string", "description": "要抓什麼?選一個模式,填下面對應欄位就好。", "default": "news" }, "newsCategory": { "title": "📰 新聞分類", "type": "string", "description": "財經新聞分類代碼,常見:tw_stock(台股)、headline(焦點)、tw_money(理財)。未填 keywords 時預設抓 tw_stock。", "default": "tw_stock" }, "keywords": { "title": "🔎 新聞關鍵字", "maxItems": 50, "uniqueItems": true, "type": "array", "description": "財經新聞關鍵字搜尋,例如:台積電、聯準會、升息。填了這裡就會忽略新聞分類,改用關鍵字搜尋。", "items": { "type": "string" } }, "dateFrom": { "title": "📅 起始日期", "type": "string", "description": "只保留此日期(含)之後發布的新聞,格式 YYYY-MM-DD,例如 2026-07-01。僅新聞模式有效,留空表示不限。" }, "dateTo": { "title": "📅 結束日期", "type": "string", "description": "只保留此日期(含)之前發布的新聞,格式 YYYY-MM-DD。僅新聞模式有效,留空表示不限。" }, "stockCodes": { "title": "📈 股票代號", "maxItems": 100, "uniqueItems": true, "type": "array", "description": "台股上市個股代號,例如 2330(台積電)、2454(聯發科)、2317(鴻海)。報價模式用這個,單次最多 100 檔。", "items": { "type": "string" } }, "bulkInput": { "title": "📋 批量貼上", "type": "string", "description": "**一行一個**,按 Enter 換行,不要加引號或逗號。新聞模式當關鍵字、報價模式當股票代號,執行時自動併入上面對應欄位。從 Google Sheet / Excel 複製一整欄貼進來最快。" }, "maxItems": { "title": "📊 最多抓幾筆", "minimum": 1, "maximum": 500, "type": "integer", "description": "每個分類/關鍵字最多抓幾筆(新聞模式)。越多費用越高。報價模式不受此限(依股票代號數量)。", "default": 50 }, "proxyConfiguration": { "title": "🌐 Proxy (進階,通常不用開)", "type": "object", "description": "cnyes 對 datacenter 請求友善,預設不用 proxy 即可運作。只有大量抓取遇到被擋時才建議開啟。", "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 } } } } } } } } } } ```