# Bluesky AI Influencer Scraper (`bornoo/bluesky-ai-influencer-scraper`) Actor Discover top AI influencers on Bluesky in seconds. Search by keyword, niche, or topic to find creators, profiles, bios, follower insights, and profile links. Perfect for marketers, founders, researchers, agencies, and influencer outreach campaigns. - **URL**: https://apify.com/bornoo/bluesky-ai-influencer-scraper.md - **Developed by:** [Biddut Hossain](https://apify.com/bornoo) (community) - **Categories:** AI, Automation, Agents - **Stats:** 4 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 AI Influencer Finder Find AI influencers on Bluesky quickly and easily. This Apify Actor searches Bluesky profiles by keyword and extracts public profile information for influencer research, outreach, and marketing. ### Features - Search Bluesky influencers by keyword - Extract profile name - Extract handle - Extract bio - Extract profile URL - Extract avatar URL - Extract follower count (if available) - Extract following count (if available) - Extract post count (if available) - Export data to Apify Dataset - Fast and lightweight Python Actor ### Use Cases - AI influencer discovery - Creator research - Marketing campaigns - Brand partnerships - Competitor analysis - Lead generation - Community research ### Input ```json { "keyword": "artificial intelligence", "maxResults": 50 } ```` | Field | Type | Required | Description | |--------|------|----------|-------------| | keyword | String | Yes | Search keyword or niche | | maxResults | Integer | No | Maximum number of profiles to return | ### Output ```json { "name": "John Doe", "handle": "john.bsky.social", "profileUrl": "https://bsky.app/profile/john.bsky.social", "bio": "AI Researcher and Builder", "followers": 12540, "following": 842, "posts": 530, "avatar": "https://...", "keyword": "artificial intelligence" } ``` ### How It Works 1. Enter a keyword. 2. The Actor searches Bluesky profiles. 3. Public profile information is extracted. 4. Results are saved to the Apify Dataset. ### Example Keywords - AI - Artificial Intelligence - Machine Learning - Data Science - LLM - ChatGPT - OpenAI - AI Agent - Automation - Generative AI ### Dataset Fields - name - handle - profileUrl - bio - followers - following - posts - avatar - keyword ### Requirements - Apify Account - Python Actor ### Notes - Only publicly available information is collected. - Results depend on Bluesky search availability. - Respect Bluesky's Terms of Service. ### License MIT # Actor input Schema ## `blueskyUsername` (type: `string`): Your Bluesky handle or email, e.g. yourname.bsky.social ## `blueskyAppPassword` (type: `string`): An App Password generated from Bluesky Settings > App Passwords (NOT your main account password). ## `searchTerms` (type: `array`): List of keywords/phrases to search for on Bluesky. ## `postsPerSearchTerm` (type: `integer`): How many posts to pull per keyword search. ## `minFollowers` (type: `integer`): Only keep authors with at least this many followers. ## `maxAccountsToPush` (type: `integer`): Top N accounts (by follower count) to push to the dataset. ## Actor input object example ```json { "searchTerms": [ "AI", "artificial intelligence", "machine learning", "LLM", "generative AI", "AI agents", "prompt engineering" ], "postsPerSearchTerm": 50, "minFollowers": 1000, "maxAccountsToPush": 50 } ``` # 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("bornoo/bluesky-ai-influencer-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("bornoo/bluesky-ai-influencer-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 bornoo/bluesky-ai-influencer-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bornoo/bluesky-ai-influencer-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bluesky AI Influencer Scraper", "description": "Discover top AI influencers on Bluesky in seconds. Search by keyword, niche, or topic to find creators, profiles, bios, follower insights, and profile links. Perfect for marketers, founders, researchers, agencies, and influencer outreach campaigns.", "version": "0.0", "x-build-id": "750wPQteJcwLg8X6T" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bornoo~bluesky-ai-influencer-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bornoo-bluesky-ai-influencer-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bornoo~bluesky-ai-influencer-scraper/runs": { "post": { "operationId": "runs-sync-bornoo-bluesky-ai-influencer-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bornoo~bluesky-ai-influencer-scraper/run-sync": { "post": { "operationId": "run-sync-bornoo-bluesky-ai-influencer-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "blueskyUsername", "blueskyAppPassword", "searchTerms" ], "properties": { "blueskyUsername": { "title": "Bluesky Username / Handle", "type": "string", "description": "Your Bluesky handle or email, e.g. yourname.bsky.social" }, "blueskyAppPassword": { "title": "Bluesky App Password", "type": "string", "description": "An App Password generated from Bluesky Settings > App Passwords (NOT your main account password)." }, "searchTerms": { "title": "Search Terms", "type": "array", "description": "List of keywords/phrases to search for on Bluesky.", "default": [ "AI", "artificial intelligence", "machine learning", "LLM", "generative AI", "AI agents", "prompt engineering" ], "items": { "type": "string" } }, "postsPerSearchTerm": { "title": "Max posts to fetch per search term", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many posts to pull per keyword search.", "default": 50 }, "minFollowers": { "title": "Minimum follower count", "minimum": 0, "type": "integer", "description": "Only keep authors with at least this many followers.", "default": 1000 }, "maxAccountsToPush": { "title": "Max accounts to output", "minimum": 1, "type": "integer", "description": "Top N accounts (by follower count) to push to the dataset.", "default": 50 } } }, "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 } } } } } } } } } } ```