# PChome 爬蟲｜商品、價格、庫存一鍵下載（免 API） (`claude_code_reviewer/pchome-scraper`) Actor 一個 Actor 抓 PChome 24h 商品:關鍵字搜尋列表、商品詳情(價格、庫存、圖片)。走公開 JSON API、不用登入、不用 token。批量貼上關鍵字或商品 ID/網址,輸出 snake\_case 結構化資料,缺值補 null,附 ISO 時間戳。分項計費:搜尋每筆 $0.002、商品詳情每筆 $0.008。 - **URL**: https://apify.com/claude\_code\_reviewer/pchome-scraper.md - **Developed by:** [Chad](https://apify.com/claude_code_reviewer) (community) - **Categories:** E-commerce, Developer tools, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $2.00 / 1,000 搜尋商品（每筆） 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 ## PChome 24h 商品爬蟲｜搜尋、價格、庫存一鍵下載（免 API、免登入） 一個 Actor 搞定 PChome 24h 商城兩種你會用到的抓取模式：**關鍵字搜尋**（拿商品列表、品牌、評分）與**商品詳情**（依 ID/網址拿即時價格、庫存）。不需要登入、不需要 API token、批量貼上上百個關鍵字或商品 ID 都吃得下。全程走 PChome 官方 JSON 端點，不開瀏覽器，速度快、成本低。 給誰用的：做比價網站的、追蹤特定商品價格波動的、寫市場調查報告的、跑電商數據分析的、論文需要資料集的、自己寫 side project 的工程師。 --- ### 能抓到什麼 每一筆商品都會拿到下面這些欄位（缺值一律回 `null`，不會少欄位）： | 欄位 | 說明 | 範例 | 可用模式 | | ----------------- | ------------------------------------- | ------------------------------------------------- | --------- | | `product_id` | PChome 商品 ID | `DCANNU-A900ARQAX` | 兩者 | | `title` | 商品名稱 | `Logitech 羅技 M331 靜音無線滑鼠` | 兩者 | | `brand` | 品牌 | `Logitech` | search 只 | | `price` | 目前售價（NT$） | `590` | 兩者 | | `original_price` | 原價（NT$） | `790` | 兩者 | | `discount_pct` | 折扣百分比 | `25` | 兩者 | | `category` | 分類名稱（v1.0 一律 null） | — | — | | `category_path` | 分類代碼路徑 | `DCAA` | search 只 | | `rating` | 評分（0-5） | `4.5` | search 只 | | `review_count` | 評論數 | `312` | search 只 | | `stock_status` | 庫存狀態 | `in_stock`、`out_of_stock` | detail 只 | | `is_24h_delivery` | 是否 24h 到貨 | `true` | search 只 | | `promo` | 促銷文案（v1.0 一律 null） | — | — | | `image_urls` | 商品圖網址陣列 | `["https://.../pic.jpg"]` | 兩者 | | `product_url` | 商品網址 | `https://24h.pchome.com.tw/prod/DCANNU-A900ARQAX` | 兩者 | | `source_mode` | 這筆從哪個模式來的 | `search`、`detail` | 兩者 | | `source_query` | 抓取時用的查詢條件（關鍵字或商品 ID） | `羅技滑鼠` | 兩者 | | `scraped_at` | 抓取當下時間（ISO 8601） | `2026-07-03T05:23:28.617Z` | 兩者 | **重要：`brand`、`rating`、`review_count`、`category_path`、`is_24h_delivery` 只有搜尋模式會有值，詳情模式一律 `null`**（PChome 商品頁 API 本身不回這些欄位）。`category` 與 `promo` 在 v1.0 一律 `null`（分類名稱查表為 v1.1 功能）。反過來，**`stock_status` 只有詳情模式才會有值**，搜尋模式一律 `null`（搜尋列表 API 不含即時庫存）。 --- ### 兩種模式一個爬蟲 | 模式 | 幹嘛用的 | 計費事件 | 單價 | | ------------- | -------------------------------------------- | ------------------------ | ------ | | 🔎 **search** | 關鍵字搜尋，拿商品列表（含品牌、評分、分類） | `search-listing`（每筆） | $0.002 | | 📦 **detail** | 依商品 ID/網址抓單一商品的即時價格、庫存 | `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 **$0.005**。所有計費都在資料成功寫入 dataset **之後**才會收，Run 結束時 log 會印出 `total_items / charged / skipped` 讓你對帳。 一次跑一個 mode，從 Apify Console 的下拉選單選就好。 --- ### 輸入欄位 | 欄位 | 型別 | 必填 | 預設 | 說明 | | ------------- | -------- | :-------------------: | :---------: | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `mode` | enum | 建議填 | `search` | `search`（關鍵字搜尋）/ `detail`（商品詳情）擇一。 | | `keywords` | string[] | `search` 模式必填 | — | 搜尋關鍵字，一個概念一個關鍵字最準。單次最多 **50** 個。 | | `sort` | enum | 選填 | `relevance` | `relevance`（相關度）/ `sales`（熱銷）/ `price_asc`（價格低→高）/ `price_desc`（價格高→低），只對 `search` 模式有效。 | | `priceMin` | integer | 選填 | — | 只留售價 ≥ 此金額的商品（NT$，僅 `search` 模式）。留空表示不限。 | | `priceMax` | integer | 選填 | — | 只留售價 ≤ 此金額的商品（NT$，僅 `search` 模式）。留空表示不限。 | | `productIds` | string[] | `detail` 模式必填其一 | — | PChome 商品 ID，例如 `DCANNU-A900ARQAX`（商品網址 `/prod/` 後面那段）。單次最多 **100** 個。 | | `productUrls` | string[] | `detail` 模式必填其一 | — | PChome 24h 商品完整網址，例如 `https://24h.pchome.com.tw/prod/DCANNU-A900ARQAX`，會自動抽出 ID。單次最多 **100** 個。 | | `bulkInput` | string | 選填 | — | **一行一個**，按 Enter 換行，不要加引號或逗號。搜尋模式當關鍵字、詳情模式當商品 ID/網址，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` | integer | 選填 | `50` | 每個關鍵字最多抓幾筆（`search` 模式，1-500）。`detail` 模式不受此限，依 ID/網址數量而定。 | --- ### 範例 **🔎 基本關鍵字搜尋** ```json { "mode": "search", "keywords": ["羅技滑鼠"], "sort": "relevance", "maxItems": 15 } ```` **💰 價格區間 + 依熱銷排序** ```json { "mode": "search", "keywords": ["機械鍵盤"], "sort": "sales", "priceMin": 1000, "priceMax": 3000, "maxItems": 30 } ``` **📦 依商品 ID 抓詳情（含庫存）** ```json { "mode": "detail", "productIds": ["DCANNU-A900ARQAX", "DSAR07-A900G00I7"] } ``` *** ### 幾個要注意的地方 - **只抓公開資料**。不需要登入、不需要 PChome 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。 - **`detail` 模式不含品牌 / 評分**。PChome 商品詳情 API 本身沒有這些欄位，要拿品牌、評分、評論數請改用 `search` 模式（見上方欄位表格）。 - **對電商站友善**。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 PChome 伺服器狂發請求。 - **同一商品若命中多個關鍵字，會以不同 `source_query` 各出一列（依查詢計費）**。例如「羅技滑鼠」跟「無線滑鼠」兩個關鍵字都搜到同一顆滑鼠，資料會出現兩筆，`source_query` 分別是這兩個關鍵字，各自計費一次 `search-listing`。 - **評論功能（reviews）規劃於後續版本**，目前版本不抓逐則評論內容，只有 `search` 模式的彙總 `rating` / `review_count`。 *** ### 常見問題 **Q: 商品 ID 去哪找？** 打開任一 PChome 商品頁，網址 `/prod/` 後面那一段就是（例如 `https://24h.pchome.com.tw/prod/DCANNU-A900ARQAX` 的 ID 是 `DCANNU-A900ARQAX`）。也可以直接把整串商品網址貼進 `productUrls`，爬蟲會自動抽出 ID。 **Q: 為什麼詳情模式沒有評分？** PChome 的商品詳情 API 本身就不回品牌、評分、評論數這幾個欄位，只有搜尋列表 API 才有。想拿這些資訊請用 `search` 模式搜同一個商品名稱或關鍵字。 **Q: 費用怎麼算？** 每次 Run 啟動收一次 `actor-start`（$0.005）；`search` 模式每筆商品列表收 `search-listing`（$0.002）；`detail` 模式每筆商品詳情收 `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？** 先確認關鍵字有沒有打錯字、換個更常見的關鍵字試試；`detail` 模式則確認商品 ID 或網址是否正確、商品是否已下架。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。 **Q: `category_path` 是什麼？** 這是 PChome 內部的分類**代碼**（例如 `DCAA`），不是分類名稱。代碼對照分類名稱的功能規劃在 v1.1 版本加入。 **Q: `is_24h_delivery` 準嗎？** 這個欄位反映的是「是否為 PChome 自營商品」，PChome 自營商品通常就是 24h 到貨，準確度跟 PChome 官網顯示的一致，但仍以下單當下頁面標示為準。 *** ### 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 PChome 24h 商城**公開可見**的商品資料，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 PChome 服務條款與當地法規。對於資料的正確性、即時性或完整性，本 Actor 不做任何保證，商品價格與庫存請以 PChome 官網當下顯示為準。 *** *PChome 爬蟲、PChome API、比價、價格追蹤、電商數據、市場調查、PChome 24h 商品資料* # Actor input Schema ## `mode` (type: `string`): 要抓什麼?選一個模式,填下面對應欄位就好。 ## `keywords` (type: `array`): 搜尋模式的關鍵字。例如:羅技滑鼠、機械鍵盤、氣泡水機。一個概念一個關鍵字最準。 ## `sort` (type: `string`): 搜尋結果排序,只有搜尋模式吃這個設定。 ## `priceMin` (type: `integer`): 只留售價 ≥ 此金額的商品(搜尋模式)。留空表示不限。 ## `priceMax` (type: `integer`): 只留售價 ≤ 此金額的商品(搜尋模式)。留空表示不限。 ## `productIds` (type: `array`): PChome 商品 ID,例如 DCANNU-A900ARQAX(在商品網址 /prod/ 後面那段)。詳情模式用這個。 ## `productUrls` (type: `array`): PChome 24h 商品完整網址,例如 https://24h.pchome.com.tw/prod/DCANNU-A900ARQAX。會自動抽出 ID。 ## `bulkInput` (type: `string`): **一行一個**,按 Enter 換行,不要加引號或逗號。搜尋模式當關鍵字、詳情模式當商品 ID/網址,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`): 每個關鍵字最多抓幾筆(搜尋模式)。越多費用越高。詳情模式不受此限(依 ID 數量)。 ## `proxyConfiguration` (type: `object`): PChome 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 (429) 時才建議開啟。 ## Actor input object example ```json { "mode": "search", "keywords": [ "羅技滑鼠" ], "sort": "relevance", "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": [ "羅技滑鼠" ] }; // Run the Actor and wait for it to finish const run = await client.actor("claude_code_reviewer/pchome-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": ["羅技滑鼠"], } # Run the Actor and wait for it to finish run = client.actor("claude_code_reviewer/pchome-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": [ "羅技滑鼠" ] }' | apify call claude_code_reviewer/pchome-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=claude_code_reviewer/pchome-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "PChome 爬蟲｜商品、價格、庫存一鍵下載（免 API）", "description": "一個 Actor 抓 PChome 24h 商品:關鍵字搜尋列表、商品詳情(價格、庫存、圖片)。走公開 JSON API、不用登入、不用 token。批量貼上關鍵字或商品 ID/網址,輸出 snake_case 結構化資料,缺值補 null,附 ISO 時間戳。分項計費:搜尋每筆 $0.002、商品詳情每筆 $0.008。", "version": "1.0", "x-build-id": "p7ZdOIWwPaVQUUh1i" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/claude_code_reviewer~pchome-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-claude_code_reviewer-pchome-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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~pchome-scraper/runs": { "post": { "operationId": "runs-sync-claude_code_reviewer-pchome-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~pchome-scraper/run-sync": { "post": { "operationId": "run-sync-claude_code_reviewer-pchome-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", "detail" ], "type": "string", "description": "要抓什麼?選一個模式,填下面對應欄位就好。", "default": "search" }, "keywords": { "title": "🔎 關鍵字", "maxItems": 50, "uniqueItems": true, "type": "array", "description": "搜尋模式的關鍵字。例如:羅技滑鼠、機械鍵盤、氣泡水機。一個概念一個關鍵字最準。", "items": { "type": "string" } }, "sort": { "title": "🔀 排序", "enum": [ "relevance", "sales", "price_asc", "price_desc" ], "type": "string", "description": "搜尋結果排序,只有搜尋模式吃這個設定。", "default": "relevance" }, "priceMin": { "title": "💰 最低價", "minimum": 0, "type": "integer", "description": "只留售價 ≥ 此金額的商品(搜尋模式)。留空表示不限。" }, "priceMax": { "title": "💰 最高價", "minimum": 0, "type": "integer", "description": "只留售價 ≤ 此金額的商品(搜尋模式)。留空表示不限。" }, "productIds": { "title": "📦 商品 ID", "maxItems": 100, "uniqueItems": true, "type": "array", "description": "PChome 商品 ID,例如 DCANNU-A900ARQAX(在商品網址 /prod/ 後面那段)。詳情模式用這個。", "items": { "type": "string" } }, "productUrls": { "title": "📦 商品網址", "maxItems": 100, "uniqueItems": true, "type": "array", "description": "PChome 24h 商品完整網址,例如 https://24h.pchome.com.tw/prod/DCANNU-A900ARQAX。會自動抽出 ID。", "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。搜尋模式當關鍵字、詳情模式當商品 ID/網址,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": "每個關鍵字最多抓幾筆(搜尋模式)。越多費用越高。詳情模式不受此限(依 ID 數量)。", "default": 50 }, "proxyConfiguration": { "title": "🌐 Proxy (進階,通常不用開)", "type": "object", "description": "PChome 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 (429) 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 } } } } } } } } } } ```