# 🦋 Bluesky Scraper - Posts, Profiles & Search (`newpo/bluesky-scraper`) Actor Extract posts, profiles, and search results from Bluesky (bsky.app) - the fastest-growing decentralized social network. FREE for up to 100 posts/day, then just $0.001 per post. No authentication required. - **URL**: https://apify.com/newpo/bluesky-scraper.md - **Developed by:** [newpo](https://apify.com/newpo) (community) - **Categories:** Social media, AI, Marketing - **Stats:** 13 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Extract posts, profiles, and search results from Bluesky (bsky.app) - the fastest-growing decentralized social network. ### 🚀 Features - **Search by keywords/hashtags** - Find posts about any topic - **Scrape user profiles** - Get complete profile data + all posts - **Engagement metrics** - Likes, replies, reposts, quotes - **No authentication required** - Uses Bluesky's public API - **Fast & reliable** - Built on Crawlee framework ### 💰 Pricing - **FREE**: First 100 posts per run - **$0.001 per post** after free tier ($1 per 1,000 posts) - **$0.05 platform fee** per run Example: Scraping 500 posts costs $0.45 ($0.40 for 400 paid posts + $0.05 platform fee) ### 📊 Output Schema Each post includes: ```json { "uri": "at://did:plc:.../app.bsky.feed.post/...", "text": "Post content", "createdAt": "2026-01-26T05:35:51.989Z", "indexedAt": "2026-01-26T05:35:52.266Z", "author": { "did": "did:plc:...", "handle": "username.bsky.social", "displayName": "User Name", "avatar": "https://cdn.bsky.app/img/avatar/...", "followersCount": 595528, "followsCount": 3906, "postsCount": 3965 }, "engagement": { "likes": 510, "replies": 27, "reposts": 18, "quotes": 4 }, "isReply": false, "isRepost": false, "source": "handle:jay.bsky.team", "crawledAt": "2026-02-20T11:15:36.708Z", "url": "https://bsky.app/profile/.../post/..." } ```` ### 📝 Example Use Cases - **Brand monitoring** - Track mentions of your company/products - **Trend analysis** - Analyze what topics are trending on Bluesky - **Influencer research** - Study top accounts in your niche - **Academic research** - Study social media discourse - **News monitoring** - Track breaking news on Bluesky ### 🔗 Links - [Bluesky](https://bsky.app) - [AT Protocol Docs](https://atproto.com) ### Support Having issues? Contact the developer or report an issue on the Apify platform. # Actor input Schema ## `searchQueries` (type: `array`): Keywords or hashtags to search for on Bluesky (e.g., AI, machinelearning, news) ## `handles` (type: `array`): Bluesky handles to scrape posts from (without @ symbol). Example: jay.bsky.team ## `maxPosts` (type: `integer`): Maximum number of posts to scrape (first 100 are FREE, then $0.001 per post) ## `includeReplies` (type: `boolean`): Whether to include reply posts in results ## `includeReposts` (type: `boolean`): Whether to include reposts/quote posts in results ## Actor input object example ```json { "searchQueries": [ "AI", "machine learning" ], "handles": [ "jay.bsky.team" ], "maxPosts": 100, "includeReplies": false, "includeReposts": false } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "AI", "machine learning" ], "handles": [ "jay.bsky.team" ] }; // Run the Actor and wait for it to finish const run = await client.actor("newpo/bluesky-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "searchQueries": [ "AI", "machine learning", ], "handles": ["jay.bsky.team"], } # Run the Actor and wait for it to finish run = client.actor("newpo/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 '{ "searchQueries": [ "AI", "machine learning" ], "handles": [ "jay.bsky.team" ] }' | apify call newpo/bluesky-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=newpo/bluesky-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🦋 Bluesky Scraper - Posts, Profiles & Search", "description": "Extract posts, profiles, and search results from Bluesky (bsky.app) - the fastest-growing decentralized social network. FREE for up to 100 posts/day, then just $0.001 per post. No authentication required.", "version": "0.4", "x-build-id": "Sv8TssT01H7RnKuWC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/newpo~bluesky-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-newpo-bluesky-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/newpo~bluesky-scraper/runs": { "post": { "operationId": "runs-sync-newpo-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/newpo~bluesky-scraper/run-sync": { "post": { "operationId": "run-sync-newpo-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", "properties": { "searchQueries": { "title": "Search Queries", "type": "array", "description": "Keywords or hashtags to search for on Bluesky (e.g., AI, machinelearning, news)", "items": { "type": "string" } }, "handles": { "title": "User Handles", "type": "array", "description": "Bluesky handles to scrape posts from (without @ symbol). Example: jay.bsky.team", "items": { "type": "string" } }, "maxPosts": { "title": "Max Posts", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of posts to scrape (first 100 are FREE, then $0.001 per post)", "default": 100 }, "includeReplies": { "title": "Include Replies", "type": "boolean", "description": "Whether to include reply posts in results", "default": false }, "includeReposts": { "title": "Include Reposts", "type": "boolean", "description": "Whether to include reposts/quote posts in results", "default": false } } }, "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 } } } } } } } } } } ```