Threadsスクレイパー — 投稿・プロフィール・ハッシュタグ・キーワード検索
Pricing
$5.00 / 1,000 results
Threadsスクレイパー — 投稿・プロフィール・ハッシュタグ・キーワード検索
Meta Threads向けのオールインワン・スクレイパー。**ユーザープロフィール、ハッシュタグ、キーワード検索、単一投稿と返信、カスタムフィード**の5つのモードを1つのアクターに集約。
Threadsスクレイパー — 投稿・プロフィール・ハッシュタグ・キーワード検索
Pricing
$5.00 / 1,000 results
Meta Threads向けのオールインワン・スクレイパー。**ユーザープロフィール、ハッシュタグ、キーワード検索、単一投稿と返信、カスタムフィード**の5つのモードを1つのアクターに集約。
You can access the Threadsスクレイパー — 投稿・プロフィール・ハッシュタグ・キーワード検索 programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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"summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/claude_code_reviewer~threads-scraper-ja/run-sync": { "post": { "operationId": "run-sync-claude_code_reviewer-threads-scraper-ja", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "🎯 モード", "enum": [ "user", "hashtag", "search", "post", "feed" ], "type": "string", "description": "何を取得しますか?モードを選んで、下の該当セクションを入力してください。", "default": "user" }, "usernames": { "title": "👤 ユーザー名", "maxItems": 100, "uniqueItems": true, "type": "array", "description": "Threadsのユーザー名(@やURL不要)。例:zuck、mosseri。モード=Userの時に使用します。", "items": { "type": "string" } }, "bulkUsernames": { "title": "📋 ユーザー名を一括貼り付け", "type": "string", "description": "**1行に1つのユーザー名**、改行で区切ります。**引用符やカンマは不要です。** 例:\n\n```\nzuck\nmosseri\nfinkd\n```\n\nGoogleスプレッドシートやExcelの列を直接コピーして貼り付けられます。実行時に上のユーザー名リストと統合されます。" }, "keywords": { "title": "🏷️ キーワード / タグ", "maxItems": 100, "uniqueItems": true, "type": "array", "description": "検索モードのキーワード、またはハッシュタグモードのタグ(#は省略可)。例:AIニュース、#テック。", "items": { "type": "string" } }, "bulkKeywords": { "title": "📋 キーワードを一括貼り付け", "type": "string", "description": "**1行に1つのキーワードまたはハッシュタグ**、改行で区切ります。**引用符やカンマは不要です。** 例:\n\n```\nLLMエージェント\nバイブコーディング\n#AI\n```\n\n実行時に上のキーワードリストと統合されます。" }, "searchSort": { "title": "🔀 検索ソート", "enum": [ "top", "recent" ], "type": "string", "description": "キーワード検索結果のソート順。検索モードのみに適用されます。", "default": "top" }, "dateFrom": { "title": "📅 開始日", "type": "string", "description": "投稿の最も古い日付。YYYY-MM-DD、または\"7 days\"、\"1 month\"のような相対表記が使えます。" }, "dateTo": { "title": "📅 終了日", "type": "string", "description": "投稿の最も新しい日付。開始日と同じ形式。" }, "postUrls": { "title": "💬 投稿URL", "uniqueItems": true, "type": "array", "description": "Threadsの投稿の完全なURL。モード=Postの時に使用します。例:https://www.threads.com/@user/post/ABC123。", "items": { "type": "string" } }, "feedUrls": { "title": "📰 フィードURL", "uniqueItems": true, "type": "array", "description": "Threadsのカスタムフィードのurl。モード=Feedの時に使用します。例:https://www.threads.com/custom_feed/18113589370710265。", "items": { "type": "string" } }, "maxPosts": { "title": "📊 最大投稿数", "minimum": 1, "maximum": 500, "type": "integer", "description": "1ソースあたりの最大取得件数。多いほど課金対象の結果が増えます(1件$0.005)。スクロールは自動管理されます。", "default": 50 } } }, "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スクレイパー — 投稿・プロフィール・ハッシュタグ・キーワード検索 from the options below:
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