LIHKG 連登爬蟲|香港論壇貼文、留言、輿情、情緒一鍵匯出(免 API)
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LIHKG 連登爬蟲|香港論壇貼文、留言、輿情、情緒一鍵匯出(免 API)
免登入抓連登(LIHKG)香港論壇:分台主題列表、貼文全文與所有留言,含推/踩數與時間,輸出 JSON/CSV/Excel。香港輿情監測、品牌口碑、社群分析必備。
LIHKG 連登爬蟲|香港論壇貼文、留言、輿情、情緒一鍵匯出(免 API)
Pricing
from $2.00 / 1,000 帖子列表
免登入抓連登(LIHKG)香港論壇:分台主題列表、貼文全文與所有留言,含推/踩數與時間,輸出 JSON/CSV/Excel。香港輿情監測、品牌口碑、社群分析必備。
You can access the LIHKG 連登爬蟲|香港論壇貼文、留言、輿情、情緒一鍵匯出(免 API) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/claude_code_reviewer~lihkg-scraper/run-sync": { "post": { "operationId": "run-sync-claude_code_reviewer-lihkg-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "thread-list", "thread" ], "type": "string", "description": "要抓什麼?選一個模式,填下面對應欄位就好。", "default": "thread-list" }, "catIds": { "title": "📋 分台 ID", "maxItems": 50, "uniqueItems": true, "type": "array", "description": "分台 ID(數字),例如 1(吹水台)、2(體育台)、5(時事台)。列表模式用這個。", "items": { "type": "string" } }, "threadIds": { "title": "💬 貼文 ID", "maxItems": 100, "uniqueItems": true, "type": "array", "description": "連登貼文 ID(數字),例如 1234567。貼文模式用這個。", "items": { "type": "string" } }, "threadUrls": { "title": "💬 貼文網址", "maxItems": 100, "uniqueItems": true, "type": "array", "description": "連登貼文完整網址,例如 https://lihkg.com/thread/1234567/page/1。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。列表模式當分台 ID、貼文模式當貼文 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": "列表模式:每個分台最多抓幾篇主題。貼文模式:最多抓幾篇貼文(每篇的留言不受此限)。", "default": 50 }, "keywords": { "title": "🔍 關鍵字過濾", "maxItems": 50, "uniqueItems": true, "type": "array", "description": "只保留標題包含任一關鍵字的主題(列表模式)。留空表示不過濾。", "items": { "type": "string" } }, "proxyConfiguration": { "title": "🌐 Proxy(進階,通常不用開)", "type": "object", "description": "LIHKG 對一般請求友善,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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for LIHKG 連登爬蟲|香港論壇貼文、留言、輿情、情緒一鍵匯出(免 API) from the options below:
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