# Bluesky Scraper — Posts, Profiles, Search, Followers & Threads (`prometheusagency/bluesky-scraper`) Actor Extract posts, profiles, author feeds, followers and full threads from Bluesky. Keyword/brand search supported. Clean JSON/CSV output for social listening, research and AI agents. No cookies, no proxies needed. - **URL**: https://apify.com/prometheusagency/bluesky-scraper.md - **Developed by:** [Prometheus Agency](https://apify.com/prometheusagency) (community) - **Categories:** Social media, Lead generation, AI - **Stats:** 2 total users, 1 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 — Posts, Profiles, Search & Followers Extract clean, structured data from **Bluesky** (44M+ users): posts, profiles, keyword search, followers and full threads. Built on the open AT Protocol API — **no cookies, no proxies, no login for most modes**. Perfect for social listening, brand monitoring, market research, influencer analysis and **AI agents** that need Bluesky data. ### What it does | Mode | Login needed? | What you get | |---|---|---| | Posts from profiles | ❌ No | All posts from any list of accounts | | Profile details | ❌ No | Followers/posts counts, bio, avatar for any handles | | Followers / Following | ❌ No | Full follower/following lists with profiles | | Thread | ❌ No | A post + every reply, flattened and clean | | **Keyword / brand search** | 🔑 Free app password | All posts matching any query, with date & language filters | ### Output (every post, same stable schema) ```json { "type": "post", "url": "https://bsky.app/profile/user.bsky.social/post/3xyz", "text": "This is the post text", "createdAt": "2026-07-01T10:00:00.000Z", "author": { "handle": "user.bsky.social", "displayName": "User", "did": "did:plc:..." }, "likeCount": 12, "repostCount": 3, "replyCount": 4, "quoteCount": 1, "langs": ["en"], "isReply": false, "images": [{ "url": "...", "alt": "..." }], "externalLink": { "url": "...", "title": "..." } } ```` Download as JSON, CSV, Excel or feed it straight into your pipeline / LLM agent via the Apify API. ### Search mode setup (2 minutes, free) Bluesky requires a (free) account for its search endpoint: 1. Create a free account at [bsky.app](https://bsky.app) — no phone number needed. 2. Go to **Settings → Privacy and Security → App Passwords → Add App Password**. 3. Paste your handle (e.g. `yourname.bsky.social`) and the app password into the Actor input. Never use your real password. The app password can be revoked anytime. ### Why this scraper - **Reliable by design:** Bluesky's AT Protocol is an open, public API — no anti-bot cat-and-mouse, no breakage every two weeks. - **Default input just works:** press Run and you get real data immediately. - **Readable errors:** if something is missing (e.g. app password for search), the error tells you exactly how to fix it in plain language. - **Pay per result:** you only pay for the data you actually receive. ### Use cases - **Brand & crisis monitoring** — brands get tens of thousands of Bluesky mentions per month even without an official account. - **Lead generation & audience research** — export followers of any account in your niche. - **Trend & competitor research** — keyword search with date and language filters. - **AI agents / RAG** — clean JSON built to be consumed by LLM pipelines and MCP tools. # Actor input Schema ## `mode` (type: `string`): Choose the extraction mode. `search` finds posts by keyword (requires a free Bluesky app password — see README). All other modes work without any credentials. ## `handles` (type: `array`): Bluesky handles (with or without @) or DIDs. Used by authorFeed, profiles, followers and following modes. ## `query` (type: `string`): Keyword, brand or phrase to search for (search mode). Supports quoted phrases. ## `postUrls` (type: `array`): Bluesky post URLs (https://bsky.app/profile/handle/post/xyz) or at:// URIs to expand into full threads. ## `maxItems` (type: `integer`): Maximum number of items to output (per run, across all inputs). ## `sort` (type: `string`): Sorting for search mode. ## `since` (type: `string`): Only posts after this date, ISO format e.g. 2026-01-31 (search mode). ## `until` (type: `string`): Only posts before this date, ISO format e.g. 2026-06-30 (search mode). ## `language` (type: `string`): Two-letter language code filter for search, e.g. en, es, de. ## `blueskyIdentifier` (type: `string`): Your Bluesky handle, e.g. yourname.bsky.social. Only needed for search mode. Create a FREE account at bsky.app in 2 minutes. ## `blueskyAppPassword` (type: `string`): App password generated at bsky.app → Settings → Privacy and Security → App Passwords. NEVER your real password. Only needed for search mode. ## `requestDelayMs` (type: `integer`): Politeness delay between API requests. Increase if you hit rate limits. ## Actor input object example ```json { "mode": "authorFeed", "handles": [ "bsky.app" ], "query": "artificial intelligence", "maxItems": 100, "sort": "latest", "requestDelayMs": 200 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "mode": "authorFeed", "handles": [ "bsky.app" ], "query": "artificial intelligence", "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("prometheusagency/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 = { "mode": "authorFeed", "handles": ["bsky.app"], "query": "artificial intelligence", "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("prometheusagency/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 '{ "mode": "authorFeed", "handles": [ "bsky.app" ], "query": "artificial intelligence", "maxItems": 100 }' | apify call prometheusagency/bluesky-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=prometheusagency/bluesky-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bluesky Scraper — Posts, Profiles, Search, Followers & Threads", "description": "Extract posts, profiles, author feeds, followers and full threads from Bluesky. Keyword/brand search supported. Clean JSON/CSV output for social listening, research and AI agents. No cookies, no proxies needed.", "version": "0.1", "x-build-id": "XJaGD3VuzSSnrPWCm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/prometheusagency~bluesky-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-prometheusagency-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/prometheusagency~bluesky-scraper/runs": { "post": { "operationId": "runs-sync-prometheusagency-bluesky-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/prometheusagency~bluesky-scraper/run-sync": { "post": { "operationId": "run-sync-prometheusagency-bluesky-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "What to scrape", "enum": [ "authorFeed", "profiles", "followers", "following", "thread", "search" ], "type": "string", "description": "Choose the extraction mode. `search` finds posts by keyword (requires a free Bluesky app password — see README). All other modes work without any credentials.", "default": "authorFeed" }, "handles": { "title": "Profile handles", "type": "array", "description": "Bluesky handles (with or without @) or DIDs. Used by authorFeed, profiles, followers and following modes.", "items": { "type": "string" } }, "query": { "title": "Search query", "type": "string", "description": "Keyword, brand or phrase to search for (search mode). Supports quoted phrases." }, "postUrls": { "title": "Post URLs (thread mode)", "type": "array", "description": "Bluesky post URLs (https://bsky.app/profile/handle/post/xyz) or at:// URIs to expand into full threads.", "items": { "type": "string" } }, "maxItems": { "title": "Max results", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of items to output (per run, across all inputs).", "default": 100 }, "sort": { "title": "Search sort", "enum": [ "latest", "top" ], "type": "string", "description": "Sorting for search mode.", "default": "latest" }, "since": { "title": "Since (search filter)", "type": "string", "description": "Only posts after this date, ISO format e.g. 2026-01-31 (search mode)." }, "until": { "title": "Until (search filter)", "type": "string", "description": "Only posts before this date, ISO format e.g. 2026-06-30 (search mode)." }, "language": { "title": "Language (search filter)", "type": "string", "description": "Two-letter language code filter for search, e.g. en, es, de." }, "blueskyIdentifier": { "title": "Bluesky handle (only for search)", "type": "string", "description": "Your Bluesky handle, e.g. yourname.bsky.social. Only needed for search mode. Create a FREE account at bsky.app in 2 minutes." }, "blueskyAppPassword": { "title": "Bluesky app password (only for search)", "type": "string", "description": "App password generated at bsky.app → Settings → Privacy and Security → App Passwords. NEVER your real password. Only needed for search mode." }, "requestDelayMs": { "title": "Delay between API calls (ms)", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Politeness delay between API requests. Increase if you hit rate limits.", "default": 200 } } }, "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 } } } } } } } } } } ```