# 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:** 2 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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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 <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/9TWblvsDJJjWmSiGL/builds/ReDXeXXyTrwnykQqP/openapi.json