# Bluesky Profile Scraper — Profiles, Followers & Following (`cooki/bluesky-profile-scraper`) Actor Scrape Bluesky user profiles with follower counts, bios, and full follower/following lists as clean JSON. Batch input, no login required. Built for influencer research, audience analysis, and lead lists. - **URL**: https://apify.com/cooki/bluesky-profile-scraper.md - **Developed by:** [Isaiah Duncan](https://apify.com/cooki) (community) - **Categories:** Social media, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 profile records 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 Profile Scraper — Profiles, Followers & Following Extract **Bluesky user profiles** in bulk: display name, bio, follower/following/post counts, avatar, and creation date, plus optional **full follower and following lists**, as clean JSON. No Bluesky login, no API keys. Paste handles (or profile URLs) and run. Bluesky has 27M+ monthly active users and an open data protocol, making it the easiest major social network to analyze. Most audience-research tools don't cover it yet. ### What data does it return? **Profile records:** ```json { "type": "profile", "handle": "bsky.app", "displayName": "Bluesky", "description": "The official Bluesky account…", "followersCount": 33970246, "followsCount": 10, "postsCount": 800, "createdAt": "2023-04-12T04:53:57Z", "url": "https://bsky.app/profile/bsky.app" } ```` **Follower / following records** (when enabled): the same fields for every account in the list, with `sourceProfile` telling you whose audience they belong to. ### Use cases - **Influencer research**: audit creators' real follower counts, bios, and audiences before partnering. - **Audience analysis**: export who follows a competitor and what they describe themselves as. - **Lead lists**: mine bios of a niche account's followers for roles, keywords, and links. - **Growth tracking**: schedule weekly runs and chart follower counts over time. - **AI pipelines**: clean JSON ready for RAG, enrichment, or scoring; works as an MCP tool in AI agents. ### Quick start 1. Paste one or more **handles** (`brand.bsky.social`), DIDs, or profile URLs. 2. Optionally enable **followers** and/or **following** export and set a cap. 3. Run, then export the dataset as JSON or CSV, or fetch it via API. Pairs well with the [Bluesky Mentions Scraper](https://apify.com/cooki/bluesky-mentions-scraper): find who talks about your brand, then profile those authors and their audiences. ### Works inside AI agents (MCP) This Actor is available as an **MCP tool** through the [Apify MCP server](https://mcp.apify.com). Connect it to Claude, Cursor, or any MCP client and your agent can pull Bluesky profiles on demand. ### More tools by this developer - [Bluesky Mentions Scraper](https://apify.com/cooki/bluesky-mentions-scraper): track brand & keyword mentions with sentiment and engagement data. - [AI Brand Visibility Tracker](https://apify.com/cooki/ai-brand-visibility-tracker): check whether ChatGPT, Perplexity & Gemini mention your brand. ### FAQ **Does it need my Bluesky account?** No. It reads public profiles through Bluesky's open AT Protocol API. **How many profiles can I scrape?** Batches of thousands work fine; profiles are fetched 25 at a time and follower lists paginate 100 per page. **Is this legal?** It collects only public profile data via Bluesky's public API. You're responsible for complying with applicable laws and Bluesky's terms when using the data. # Actor input Schema ## `handles` (type: `array`): Profiles to scrape, e.g. bsky.app or did:plc:… — one per line. Profile URLs (https://bsky.app/profile/…) work too. ## `includeFollowers` (type: `boolean`): Also export who follows each profile (as separate 'follower' records). ## `includeFollowing` (type: `boolean`): Also export who each profile follows (as separate 'following' records). ## `maxConnectionsPerProfile` (type: `integer`): Cap on exported followers and following per profile (each list separately). ## Actor input object example ```json { "handles": [ "bsky.app" ], "includeFollowers": false, "includeFollowing": false, "maxConnectionsPerProfile": 200 } ``` # 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 = { "handles": [ "bsky.app" ] }; // Run the Actor and wait for it to finish const run = await client.actor("cooki/bluesky-profile-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 = { "handles": ["bsky.app"] } # Run the Actor and wait for it to finish run = client.actor("cooki/bluesky-profile-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 '{ "handles": [ "bsky.app" ] }' | apify call cooki/bluesky-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=cooki/bluesky-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bluesky Profile Scraper — Profiles, Followers & Following", "description": "Scrape Bluesky user profiles with follower counts, bios, and full follower/following lists as clean JSON. Batch input, no login required. Built for influencer research, audience analysis, and lead lists.", "version": "0.1", "x-build-id": "Wof9PTHLsoAsQRnyC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/cooki~bluesky-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-cooki-bluesky-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/cooki~bluesky-profile-scraper/runs": { "post": { "operationId": "runs-sync-cooki-bluesky-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/cooki~bluesky-profile-scraper/run-sync": { "post": { "operationId": "run-sync-cooki-bluesky-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "handles" ], "properties": { "handles": { "title": "Bluesky handles or DIDs", "type": "array", "description": "Profiles to scrape, e.g. bsky.app or did:plc:… — one per line. Profile URLs (https://bsky.app/profile/…) work too.", "items": { "type": "string" } }, "includeFollowers": { "title": "Include followers list", "type": "boolean", "description": "Also export who follows each profile (as separate 'follower' records).", "default": false }, "includeFollowing": { "title": "Include following list", "type": "boolean", "description": "Also export who each profile follows (as separate 'following' records).", "default": false }, "maxConnectionsPerProfile": { "title": "Max followers/following per profile", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Cap on exported followers and following per profile (each list separately).", "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 } } } } } } } } } } ```