# Bluesky Scraper Pro — Profiles, Posts & Analytics (`diverse_venture/bluesky-scraper`) Actor Comprehensive Bluesky social network scraper. Extract profiles (followers, bio, stats), posts (text, likes, reposts, replies), search users by keyword, and get engagement analytics. Uses the open AT Protocol API — no login or API key required. Export JSON, CSV, or Excel. - **URL**: https://apify.com/diverse\_venture/bluesky-scraper.md - **Developed by:** [Chak Man Fung](https://apify.com/diverse_venture) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Pro — Profiles, Posts & Analytics The most comprehensive Bluesky scraper on Apify. Extract profiles, posts, engagement data, and search for users — all via the open AT Protocol API. **No login or API key required.** Bluesky's AT Protocol is designed for open data access. ### Features - **Profile scraping**: Followers, following, post count, bio, avatar, labels - **Post scraping**: Full text, likes, reposts, replies, quotes, images, links - **User search**: Find accounts by keyword with full profile data - **Engagement analytics**: Total engagement scores per post - **Pagination**: Automatically pages through results up to your limit - **Export**: JSON, CSV, XML, or Excel ### Use cases - **Social listening**: Monitor what people say about your brand on Bluesky - **Influencer research**: Find and analyze Bluesky influencers by topic - **Competitor analysis**: Track competitor accounts and their engagement - **Academic research**: Study social network dynamics on decentralized platforms - **Journalism**: Find sources and track public discourse - **Marketing**: Identify trending topics and influential voices ### Modes #### 1. Profiles Get detailed profile data for specific Bluesky handles. ```json { "mode": "profiles", "handles": ["jay.bsky.team", "nytimes.com", "bsky.app"] } ```` #### 2. Posts Get recent posts with full engagement data. ```json { "mode": "posts", "handles": ["jay.bsky.team"], "maxPostsPerUser": 50 } ``` #### 3. Search Find users by keyword. ```json { "mode": "search", "searchQuery": "artificial intelligence", "maxSearchResults": 50 } ``` ### Output example ```json { "type": "profile", "handle": "jay.bsky.team", "displayName": "Jay", "followersCount": 596185, "followsCount": 3964, "postsCount": 4076, "description": "Founder & Chief Innovation Officer @ Bluesky" } ``` ### Cost Uses only lightweight API calls — no browser automation. A typical run completes in seconds and costs less than $0.005 in Apify credits. # Actor input Schema ## `mode` (type: `string`): What to scrape: profiles (get user details), posts (get feed), or search (find users by keyword). ## `handles` (type: `array`): List of Bluesky handles to scrape (e.g., jay.bsky.team, nytimes.com). Used for 'profiles' and 'posts' modes. ## `searchQuery` (type: `string`): Keyword to search for users (only used in 'search' mode). ## `maxPostsPerUser` (type: `integer`): Maximum posts to extract per user (for 'posts' mode). ## `maxSearchResults` (type: `integer`): Maximum users to return in search mode. ## Actor input object example ```json { "mode": "profiles", "handles": [ "jay.bsky.team" ], "searchQuery": "", "maxPostsPerUser": 25, "maxSearchResults": 25 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("diverse_venture/bluesky-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("diverse_venture/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 diverse_venture/bluesky-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=diverse_venture/bluesky-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bluesky Scraper Pro — Profiles, Posts & Analytics", "description": "Comprehensive Bluesky social network scraper. Extract profiles (followers, bio, stats), posts (text, likes, reposts, replies), search users by keyword, and get engagement analytics. Uses the open AT Protocol API — no login or API key required. Export JSON, CSV, or Excel.", "version": "1.0", "x-build-id": "HPfZsChPLFWfJ448H" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/diverse_venture~bluesky-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-diverse_venture-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/diverse_venture~bluesky-scraper/runs": { "post": { "operationId": "runs-sync-diverse_venture-bluesky-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/diverse_venture~bluesky-scraper/run-sync": { "post": { "operationId": "run-sync-diverse_venture-bluesky-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Scrape Mode", "enum": [ "profiles", "posts", "search" ], "type": "string", "description": "What to scrape: profiles (get user details), posts (get feed), or search (find users by keyword).", "default": "profiles" }, "handles": { "title": "Bluesky Handles", "type": "array", "description": "List of Bluesky handles to scrape (e.g., jay.bsky.team, nytimes.com). Used for 'profiles' and 'posts' modes.", "default": [ "jay.bsky.team" ], "items": { "type": "string" } }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Keyword to search for users (only used in 'search' mode).", "default": "" }, "maxPostsPerUser": { "title": "Max Posts Per User", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum posts to extract per user (for 'posts' mode).", "default": 25 }, "maxSearchResults": { "title": "Max Search Results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum users to return in search mode.", "default": 25 } } }, "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 } } } } } } } } } } ```