# Bluesky Scraper (`commanding_hotdog/bluesky-scraper`) Actor Bluesky/bsky social media scraper — posts, profiles, followers, feeds, trending. 15 modes, 30+ fields, sentiment analysis, engagement metrics. Free AT Protocol API, no proxy. Social media monitoring & brand tracking. - **URL**: https://apify.com/commanding\_hotdog/bluesky-scraper.md - **Developed by:** [qingwa](https://apify.com/commanding_hotdog) (community) - **Categories:** Social media, Marketing - **Stats:** 2 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Bluesky Scraper A comprehensive data extraction tool for the Bluesky social platform. ### Features - **15 operational modes**: post search, user profiles, followers, following, feeds, trending topics, thread replies, quote posts, likes, starter packs, and more - **30+ output fields**: post text, engagement metrics, author info, sentiment analysis, viral scores - **Built-in sentiment analysis** and interaction rate calculation - **No proxy needed** — uses the free AT Protocol API - **Batch processing** with pagination support ### Modes | Mode | Description | |------|-------------| | `search_posts` | Search posts by keyword | | `user_posts` | Get posts from a specific user | | `user_profile` | Get user profile details | | `followers` | Get user's followers | | `following` | Get user's following list | | `post_thread` | Get thread replies for a post | | `custom_feed` | Get posts from a custom feed | | `post_likes` | Get users who liked a post | | `quote_posts` | Get quote posts | | `trending_topics` | Get trending topics | | `starter_pack` | Get starter pack data | ### Input Parameters | Parameter | Type | Description | |-----------|------|-------------| | `mode` | string | Operation mode (default: `search_posts`) | | `searchQuery` | string | Search keyword | | `handle` | string | Bluesky handle (e.g. `alice.bsky.social`) | | `postUrl` | string | Post URL or AT-URI | | `maxResults` | integer | Max results (default: 100) | | `language` | string | Language filter (e.g. `en`, `zh`) | | `sortBy` | string | Sort: `latest`, `top`, `hot` | ### Example ```json { "mode": "search_posts", "searchQuery": "artificial intelligence", "maxResults": 50, "language": "en" } ```` ### Output Each result contains structured JSON with fields like: ```json { "post_id": "3m...", "text": "Post content here", "created_at": "2026-01-15T10:30:00Z", "author_handle": "user.bsky.social", "author_display_name": "User Name", "likes": 42, "reposts": 15, "replies": 8, "engagement_rate": 0.065, "sentiment": "positive" } ``` ### No Authentication Required This scraper uses Bluesky's public AT Protocol API — no API keys or authentication needed. # Actor input Schema ## `mode` (type: `string`): 选择要执行的数据提取功能 ## `searchQuery` (type: `string`): 输入关键词、标签或短语（例如：python、#AI、web scraping） ## `handles` (type: `string`): 输入 Bluesky 用户名，多个用逗号分隔（例如：jay.bsky.team, pfrazee.com） ## `postUrls` (type: `string`): 输入帖子 URL 或 AT-URI，多个用逗号分隔 ## `feedUri` (type: `string`): 输入自定义 Feed 的 AT-URI（例如：at://did:plc:xxx/app.bsky.feed.generator/xxx） ## `maxItems` (type: `integer`): 最多提取多少条结果 ## `searchSort` (type: `string`): 结果排序方式 ## `dateSince` (type: `string`): 只包含此日期之后的帖子（格式：YYYY-MM-DD） ## `dateUntil` (type: `string`): 只包含此日期之前的帖子（格式：YYYY-MM-DD） ## `language` (type: `string`): 只返回指定语言的帖子 ## `includeReplies` (type: `boolean`): 是否包含回复帖子 ## `includeReposts` (type: `boolean`): 是否包含转发/转帖 ## `mediaOnly` (type: `boolean`): 只返回包含图片/视频的帖子 ## `minLikes` (type: `integer`): 只返回点赞数大于等于此值的帖子 ## `minReposts` (type: `integer`): 只返回转发数大于等于此值的帖子 ## `minReplies` (type: `integer`): 只返回回复数大于等于此值的帖子 ## `calculateEngagement` (type: `boolean`): 计算每个帖子的互动率（点赞+转发+回复 / 作者关注者数） ## `analyzeSentiment` (type: `boolean`): 分析帖子情感倾向（正面/负面/中性） ## `extractTopics` (type: `boolean`): 自动提取帖子中的话题/主题 ## `threadDepth` (type: `integer`): 帖子线程展开的最大深度 ## Actor input object example ```json { "mode": "search_posts", "maxItems": 100, "searchSort": "latest", "language": "", "includeReplies": true, "includeReposts": true, "mediaOnly": false, "minLikes": 0, "minReposts": 0, "minReplies": 0, "calculateEngagement": true, "analyzeSentiment": false, "extractTopics": false, "threadDepth": 10 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("commanding_hotdog/bluesky-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 = {} # Run the Actor and wait for it to finish run = client.actor("commanding_hotdog/bluesky-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 '{}' | apify call commanding_hotdog/bluesky-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=commanding_hotdog/bluesky-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bluesky Scraper", "description": "Bluesky/bsky social media scraper — posts, profiles, followers, feeds, trending. 15 modes, 30+ fields, sentiment analysis, engagement metrics. Free AT Protocol API, no proxy. Social media monitoring & brand tracking.", "version": "1.0", "x-build-id": "DKRO0Ku0YD0SZeSfl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/commanding_hotdog~bluesky-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-commanding_hotdog-bluesky-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/commanding_hotdog~bluesky-scraper/runs": { "post": { "operationId": "runs-sync-commanding_hotdog-bluesky-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/commanding_hotdog~bluesky-scraper/run-sync": { "post": { "operationId": "run-sync-commanding_hotdog-bluesky-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "mode" ], "properties": { "mode": { "title": "📋 选择功能", "enum": [ "search_posts", "user_posts", "user_profile", "followers", "following", "post_thread", "custom_feed", "post_likes", "quote_posts", "trending_topics", "starter_pack" ], "type": "string", "description": "选择要执行的数据提取功能", "default": "search_posts" }, "searchQuery": { "title": "🔍 搜索关键词", "type": "string", "description": "输入关键词、标签或短语（例如：python、#AI、web scraping）" }, "handles": { "title": "👤 用户 Handle", "type": "string", "description": "输入 Bluesky 用户名，多个用逗号分隔（例如：jay.bsky.team, pfrazee.com）" }, "postUrls": { "title": "🔗 帖子链接", "type": "string", "description": "输入帖子 URL 或 AT-URI，多个用逗号分隔" }, "feedUri": { "title": "📰 Feed URI", "type": "string", "description": "输入自定义 Feed 的 AT-URI（例如：at://did:plc:xxx/app.bsky.feed.generator/xxx）" }, "maxItems": { "title": "📊 最大结果数", "minimum": 1, "maximum": 50000, "type": "integer", "description": "最多提取多少条结果", "default": 100 }, "searchSort": { "title": "📈 排序方式", "enum": [ "latest", "top", "hot" ], "type": "string", "description": "结果排序方式", "default": "latest" }, "dateSince": { "title": "📅 开始日期", "type": "string", "description": "只包含此日期之后的帖子（格式：YYYY-MM-DD）" }, "dateUntil": { "title": "📅 结束日期", "type": "string", "description": "只包含此日期之前的帖子（格式：YYYY-MM-DD）" }, "language": { "title": "🌐 语言过滤", "enum": [ "", "en", "zh", "ja", "ko", "es", "fr", "de", "pt", "ru", "ar" ], "type": "string", "description": "只返回指定语言的帖子", "default": "" }, "includeReplies": { "title": "💬 包含回复", "type": "boolean", "description": "是否包含回复帖子", "default": true }, "includeReposts": { "title": "🔄 包含转发", "type": "boolean", "description": "是否包含转发/转帖", "default": true }, "mediaOnly": { "title": "🖼️ 仅含媒体", "type": "boolean", "description": "只返回包含图片/视频的帖子", "default": false }, "minLikes": { "title": "❤️ 最小点赞数", "minimum": 0, "type": "integer", "description": "只返回点赞数大于等于此值的帖子", "default": 0 }, "minReposts": { "title": "🔄 最小转发数", "minimum": 0, "type": "integer", "description": "只返回转发数大于等于此值的帖子", "default": 0 }, "minReplies": { "title": "💬 最小回复数", "minimum": 0, "type": "integer", "description": "只返回回复数大于等于此值的帖子", "default": 0 }, "calculateEngagement": { "title": "📊 计算互动率", "type": "boolean", "description": "计算每个帖子的互动率（点赞+转发+回复 / 作者关注者数）", "default": true }, "analyzeSentiment": { "title": "🎭 情感分析", "type": "boolean", "description": "分析帖子情感倾向（正面/负面/中性）", "default": false }, "extractTopics": { "title": "🏷️ 提取话题", "type": "boolean", "description": "自动提取帖子中的话题/主题", "default": false }, "threadDepth": { "title": "🧵 线程深度", "minimum": 1, "maximum": 50, "type": "integer", "description": "帖子线程展开的最大深度", "default": 10 } } }, "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 } } } } } } } } } } ```