Threads 海巡 - 貼文、個人檔案與關鍵字搜尋
Pricing
from $2.50 / 1,000 results
Go to Apify Store
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 $2.50 / 1,000 results
依關鍵字搜尋近期 Meta Threads 公開貼文、收集公開個人檔案中可取得的貼文，或依關鍵字尋找相關帳號。免登入。可匯出貼文、公開可取得的觀看指標、媒體、互動指標與帳號資料。
You can access the Threads 海巡 - 貼文、個人檔案與關鍵字搜尋 programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "L2mgQfgmLuB7rMxuM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/futurizerush~meta-threads-scraper-zh-tw/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-futurizerush-meta-threads-scraper-zh-tw", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/futurizerush~meta-threads-scraper-zh-tw/runs": { "post": { "operationId": "runs-sync-futurizerush-meta-threads-scraper-zh-tw", "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/futurizerush~meta-threads-scraper-zh-tw/run-sync": { "post": { "operationId": "run-sync-futurizerush-meta-threads-scraper-zh-tw", "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", "required": [ "mode" ], "properties": { "mode": { "title": "🎯 爬取模式", "type": "string", "description": "先選一種模式，再填下方對應欄位：\n• 👤 用戶貼文 → 👤 用戶名稱。抓這些帳號的公開貼文。\n• 🔁 用戶轉發 → 👤 用戶名稱。抓這些帳號轉發過的貼文，並附上是誰、在什麼時候轉發的。\n• 💬 用戶回覆 → 👤 用戶名稱。抓這些帳號寫過的公開回覆，對話有顯示時會附上被回覆的貼文。\n• 🔎 搜尋 → 🏷️ 關鍵字。用關鍵字或標籤撈出相關公開貼文（可加日期範圍）。\n• 👥 尋找帳號 → 🏷️ 關鍵字。找出符合關鍵字的公開帳號（每組關鍵字最多 10 個）。", "default": "user" }, "usernames": { "title": "👤 用戶名稱", "minItems": 0, "maxItems": 20, "uniqueItems": true, "type": "array", "description": "在 👤 用戶貼文、🔁 用戶轉發、💬 用戶回覆 模式為必填（其他模式會忽略）。可填一個或多個 Threads 用戶名稱：純名稱（zuck）、加 @（@zuck）、或完整網址（https://threads.com/@zuck 或 https://threads.net/@zuck）都可以。📺 不知道怎麼填？看 <a href='https://www.youtube.com/watch?v=51mYc7DJERE' target='_blank' rel='noopener'>用戶貼文影片教學</a>。", "items": { "type": "string" } }, "keywords": { "title": "🏷️ 關鍵字", "minItems": 0, "maxItems": 20, "uniqueItems": true, "type": "array", "description": "在 🔎 搜尋 與 👥 尋找帳號 模式為必填。在 👤 用戶貼文、🔁 用戶轉發、💬 用戶回覆 模式為選填，會替符合的資料列加上標記，不會刪掉其他資料。加不加 # 都可以，「AI」和「#AI」都讀得到。在 👥 尋找帳號 模式加上地名（例如「台北 餐廳」），比較容易找到在地帳號。📺 不知道怎麼填？看 <a href='https://www.youtube.com/watch?v=zMtWu0syfS8' target='_blank' rel='noopener'>搜尋影片教學</a>。", "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", "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」會從最新符合的公開貼文開始，上限越大會往越早的時間延伸，涵蓋較長的期間，而不是列出每一則最新貼文；若要合併成單一時間軸，可依匯出的 created_at 欄位排序。", "default": "top" }, "search_language": { "title": "🌐 偏好結果語言（beta）", "type": "string", "description": "選填，僅 🔎 搜尋 模式使用；其他模式會直接略過，照常執行。\n有些關鍵字在不同語言裡寫法相同，搜尋結果就會混在一起。在這裡選一個語言，你會拿到更多以該語言撰寫的貼文，其他語言的則變少。\n維持「英文」就跟目前行為完全相同。許多關鍵字不會有任何變化：只有單一語言在使用的關鍵字，本來就會回該語言。", "default": "english" }, "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」。日期以 UTC 計算。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」。日期以 UTC 計算。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 }, "PROXY_UNBLOCKER_UNITS": { "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 }, "PROXY_UNBLOCKER_UNITS": { "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:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: