Threads 海巡 - 貼文、個人檔案與關鍵字搜尋
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Threads 海巡 - 貼文、個人檔案與關鍵字搜尋
依關鍵字搜尋近期 Meta Threads 公開貼文、收集公開個人檔案中可取得的貼文,或依關鍵字尋找相關帳號。免登入。可匯出貼文、公開可取得的觀看指標、媒體、互動指標與帳號資料。
Threads 海巡 - 貼文、個人檔案與關鍵字搜尋
Pricing
from $2.50 / 1,000 results
依關鍵字搜尋近期 Meta Threads 公開貼文、收集公開個人檔案中可取得的貼文,或依關鍵字尋找相關帳號。免登入。可匯出貼文、公開可取得的觀看指標、媒體、互動指標與帳號資料。
You can access the Threads 海巡 - 貼文、個人檔案與關鍵字搜尋 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 API & Integrations in Apify Console.
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都可以,「AI」和「#AI」都讀得到。", "items": { "type": "string" } }, "max_posts": { "title": "📦 最大結果數", "minimum": 10, "maximum": 10000, "type": "integer", "description": "每個用戶或關鍵字的結果上限。多筆輸入會分別處理,最後合併到同一份 dataset。\n• 👤 用戶貼文 / 🔁 用戶轉發 / 💬 用戶回覆:每個帳號的上限。實際拿到多少,取決於該帳號公開了多少內容。\n• 🔎 搜尋:這是上限,執行當下公開可取得的結果可能更少。\n• 👥 尋找帳號:每組關鍵字最多 10 個帳號,與此數值無關。" }, "search_filter": { "title": "🔎 排序方式", "enum": [ "top", "recent" ], "type": "string", "description": "僅在 🔎 搜尋 模式使用。「Top」會回傳 Threads 認為與該字詞最相關的貼文,資料列的順序不代表熱門度排名。「Recent」則把最新符合的貼文排在前面,其中仍可能夾雜較舊的相關貼文。", "default": "top" }, "start_date": { "title": "📅 開始日期", "type": "string", "description": "在 🔎 搜尋 模式使用,只保留此日期(含)之後的貼文。支援 YYYY-MM-DD 或相對時間,例如「7 days」「1 month」。其他模式會直接略過,照常抓取貼文。" }, "end_date": { "title": "📅 結束日期", "type": "string", "description": "在 🔎 搜尋 模式使用,只保留此日期(含)之前的貼文。建議用 YYYY-MM-DD 以免混淆;填相對時間(例如「7 days」)代表「距今 7 天前」。其他模式會直接略過,照常抓取貼文。" } } }, "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 Threads 海巡 - 貼文、個人檔案與關鍵字搜尋 from the options below:
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