# Bluesky VC & Investor Scraper (`bornoo/bluesky-vc-investor-scraper`) Actor Discover AI influencers on Bluesky using keywords or topics. Extract public profile details including display name, handle, bio, profile URL, follower count, following, posts, and avatar. Perfect for influencer research, outreach, marketing, lead generation, and competitor analysis. - **URL**: https://apify.com/bornoo/bluesky-vc-investor-scraper.md - **Developed by:** [Biddut Hossain](https://apify.com/bornoo) (community) - **Categories:** AI, Agents, Automation - **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 using keywords and topics. This Apify Actor searches Bluesky for AI-related profiles and extracts public profile information, making it easy to discover creators, researchers, founders, developers, and thought leaders. ### Features - Search AI influencers by keyword - Extract display name - Extract Bluesky handle - Extract bio/description - Extract profile URL - Extract avatar URL - Extract follower count - Extract following count - Extract posts count - Filter by minimum followers - Language filtering - Export results to Apify Dataset ### Use Cases - AI influencer discovery - Creator research - Influencer marketing - Brand outreach - Lead generation - Competitor analysis - Community building - Market research ### Input See `.actor/input_schema.json`. #### Example ```json { "searchTerms": [ "AI", "Artificial Intelligence", "Machine Learning", "ChatGPT", "OpenAI" ], "maxResults": 100, "minFollowers": 500, "language": "en", "sortBy": "followers" } ```` ### Input Fields | Field | Description | |--------|-------------| | searchTerms | Keywords used to discover AI influencers | | maxResults | Maximum number of profiles returned | | minFollowers | Minimum followers required | | language | Language filter (example: en) | | sortBy | Sort by followers, posts, or recent | ### Output Each dataset item looks like this: ```json { "displayName": "John Doe", "handle": "john.bsky.social", "profileUrl": "https://bsky.app/profile/john.bsky.social", "bio": "AI Researcher | Builder | Speaker", "followersCount": 15840, "followsCount": 620, "postsCount": 1342, "matchedSearchTerms": [ "AI", "ChatGPT" ], "avatar": "https://..." } ``` ### Output Fields - displayName - handle - profileUrl - bio - followersCount - followsCount - postsCount - matchedSearchTerms - avatar ### Local Development Install dependencies: ```bash pip install -r requirements.txt ``` Run the Actor: ```bash apify run ``` ### Deploy to Apify ```bash apify login apify push ``` ### Notes - Only publicly available Bluesky profile information is collected. - No Bluesky login is required. - Results depend on Bluesky search availability. - Please respect Bluesky's Terms of Service. ### License MIT # Actor input Schema ## `username` (type: `string`): Your Bluesky handle, e.g. yourname.bsky.social ## `appPassword` (type: `string`): An app password generated from Bluesky Settings > App Passwords. Do NOT use your main account password. ## `searchTerms` (type: `array`): Keywords to search for on Bluesky ## `maxResultsPerTerm` (type: `integer`): How many posts to fetch per search term ## Actor input object example ```json { "searchTerms": [ "AI", "Artificial Intelligence", "Machine Learning", "LLM", "ChatGPT", "OpenAI" ], "maxResultsPerTerm": 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("bornoo/bluesky-vc-investor-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-vc-investor-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-vc-investor-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bornoo/bluesky-vc-investor-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bluesky VC & Investor Scraper", "description": "Discover AI influencers on Bluesky using keywords or topics. Extract public profile details including display name, handle, bio, profile URL, follower count, following, posts, and avatar. Perfect for influencer research, outreach, marketing, lead generation, and competitor analysis.", "version": "0.0", "x-build-id": "ReDXeXXyTrwnykQqP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bornoo~bluesky-vc-investor-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bornoo-bluesky-vc-investor-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bornoo~bluesky-vc-investor-scraper/runs": { "post": { "operationId": "runs-sync-bornoo-bluesky-vc-investor-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bornoo~bluesky-vc-investor-scraper/run-sync": { "post": { "operationId": "run-sync-bornoo-bluesky-vc-investor-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "username", "appPassword" ], "properties": { "username": { "title": "Bluesky username", "type": "string", "description": "Your Bluesky handle, e.g. yourname.bsky.social" }, "appPassword": { "title": "Bluesky app password", "type": "string", "description": "An app password generated from Bluesky Settings > App Passwords. Do NOT use your main account password." }, "searchTerms": { "title": "Search terms", "type": "array", "description": "Keywords to search for on Bluesky", "default": [ "AI", "Artificial Intelligence", "Machine Learning", "LLM", "ChatGPT", "OpenAI" ], "items": { "type": "string" } }, "maxResultsPerTerm": { "title": "Max results per search term", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many posts to fetch per search term", "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 } } } } } } } } } } ```