# Luma Guest List LinkedIn Profiles (`flowengine/lumascrapper`) Actor

Scrape guest lists from Luma (lu.ma) events. Exports attendee names, LinkedIn URLs, Instagram handles, X (Twitter) profiles, bios, and websites. Requires your Luma session cookie. Export results as CSV, JSON, or Excel.

- **URL**: https://apify.com/flowengine/lumascrapper.md
- **Developed by:** [Amit EL](https://apify.com/flowengine) (community)
- **Categories:** Lead generation, Social media, Automation
- **Stats:** 14 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 1.00 out of 5 stars

## Pricing

from $2.00 / 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

## Luma Guest Scraper — Apify Actor

Scrape guest lists from [Luma](https://lu.ma) events. Exports names, LinkedIn, Instagram, X (Twitter) profiles, bios, and websites.

### Input

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `eventUrls` | string\[] | ✅ | Luma event URLs or slugs |
| `lumaCookie` | string | ✅ | Your `luma.auth-session-key` cookie |
| `includeLinkedin` | boolean | | Include LinkedIn URLs (default: true) |
| `includeInstagram` | boolean | | Include Instagram handles (default: true) |
| `includeX` | boolean | | Include X/Twitter handles (default: true) |
| `includeBio` | boolean | | Include short bio (default: false) |
| `includeWebsite` | boolean | | Include website (default: false) |

### How to get your Luma cookie

1. Log into [lu.ma](https://lu.ma)
2. Open DevTools → Application → Cookies
3. Copy the value of `luma.auth-session-key`
4. Paste it into the `lumaCookie` input field

### Output

Each guest is pushed to the default dataset with fields:

```json
{
  "event_slug": "my-event",
  "event_id": "evt-abc123",
  "name": "Jane Doe",
  "first_name": "Jane",
  "last_name": "Doe",
  "linkedin": "https://linkedin.com/in/janedoe",
  "instagram": "https://instagram.com/janedoe",
  "x": "https://x.com/janedoe"
}
```

Export results as CSV, JSON, or Excel from the Apify console.

### Run locally

```bash
npm install
echo '{ "eventUrls": ["https://lu.ma/your-event"], "lumaCookie": "your-cookie" }' > storage/key_value_stores/default/INPUT.json
npm start
```

# Actor input Schema

## `eventUrls` (type: `array`):

List of Luma event URLs (e.g. https://lu.ma/my-event) or just the slug (e.g. my-event).

## `lumaCookie` (type: `string`):

Your luma session cookie value. Required to access guest lists you have permission to view. Log into lu.ma, open DevTools > Application > Cookies, copy the value of the 'luma.auth-session-key' cookie.

## `includeLinkedin` (type: `boolean`):

Include LinkedIn profile URLs in output.

## `includeInstagram` (type: `boolean`):

Include Instagram handles in output.

## `includeX` (type: `boolean`):

Include X/Twitter handles in output.

## `includeBio` (type: `boolean`):

Include short bio in output.

## `includeWebsite` (type: `boolean`):

Include personal website in output.

## Actor input object example

```json
{
  "eventUrls": [
    "https://lu.ma/example-event"
  ],
  "includeLinkedin": true,
  "includeInstagram": true,
  "includeX": true,
  "includeBio": false,
  "includeWebsite": false
}
```

# 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 = {
    "eventUrls": [
        "https://lu.ma/example-event"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("flowengine/lumascrapper").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 = { "eventUrls": ["https://lu.ma/example-event"] }

# Run the Actor and wait for it to finish
run = client.actor("flowengine/lumascrapper").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 '{
  "eventUrls": [
    "https://lu.ma/example-event"
  ]
}' |
apify call flowengine/lumascrapper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=flowengine/lumascrapper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/74NHYQMg0Ralj8Ivm/builds/pCHxOubzMiRRqwTut/openapi.json