# Luma Events & Host Leads Scraper (Lu.ma API) (`velodata-labs/luma-events-scraper`) Actor

Fast, lightweight Lu.ma (Luma) event, calendar, and host lead extractor built in Golang. Scrape events by category (AI, crypto, tech), city/place, calendar, or direct URLs with organizer LinkedIn, X/Twitter, Instagram, website, ticket prices, and guest counts. MCP-ready for n8n, Make, and Clay.

- **URL**: https://apify.com/velodata-labs/luma-events-scraper.md
- **Developed by:** [VeloData Labs](https://apify.com/velodata-labs) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 event & host lead records

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## ⚡ Lu.ma Events & Host Leads Scraper (Luma API)

Extract structured **upcoming & past events, communities/calendars, and verified organizer/host social profiles (LinkedIn, X/Twitter, Instagram, YouTube, Website)** from **[Lu.ma](https://lu.ma)** (`luma.com`) in seconds.

Engineered in **Golang** as a static binary for **sub-second startup**, **minimal memory footprint (128 MB RAM)**, and **MCP-Ready (Model Context Protocol)** integration with **n8n, Make, Zapier, Clay, Claude, and ChatGPT**.

***

### 🎯 Why Use This Lu.ma Scraper?

Lu.ma is the #1 event platform for **AI startups, Web3 ecosystems, VC funds, developer communities, and B2B founders**. Every day, thousands of high-intent decision-makers host meetups, hackathons, demo days, and webinars on Lu.ma.

- **B2B Lead Generation & Founder Outreach**: Extract event hosts and community organizers along with their direct **LinkedIn, X/Twitter, Instagram, and company Website links**.
- **Sponsorship & Partnership Prospecting**: Find upcoming conferences, hackathons, and meetups in specific cities (`sf`, `nyc`, `london`, `singapore`) or verticals (`ai`, `crypto`, `climate`) before they happen.
- **Speaker & Community Intelligence**: Monitor any Lu.ma Calendar (e.g., `latent-space`, `genai-collective`) or track event guest counts and ticket pricing tiers.
- **Zero Browser Overhead**: Built in pure Go using Lu.ma's structured endpoints—runs 10x faster than Playwright/Puppeteer scrapers with near-zero compute cost.

***

### 📦 Sample Output JSON

```json
{
  "eventId": "evt-AEBeg4GzqRHIkNA",
  "eventName": "AI Agents & LLM Builders Demo Night — San Francisco",
  "eventSlug": "ai-agents-sf-demo",
  "eventUrl": "https://lu.ma/ai-agents-sf-demo",
  "startAt": "2026-11-12T01:00:00.000Z",
  "endAt": "2026-11-12T04:00:00.000Z",
  "timezone": "America/Los_Angeles",
  "locationType": "offline",
  "city": "San Francisco",
  "region": "California",
  "country": "United States",
  "address": "Mission District, San Francisco, CA",
  "latitude": 37.7599,
  "longitude": -122.4148,
  "guestCount": 248,
  "ticketCount": 250,
  "isFree": true,
  "isSoldOut": false,
  "requireApproval": true,
  "coverUrl": "https://images.lumacdn.com/event-covers/...",
  "primaryHostName": "Alex Rivera",
  "hostLinkedIn": "https://www.linkedin.com/in/alex-rivera-ai",
  "hostTwitter": "https://x.com/alexrivera_ai",
  "hostWebsite": "https://agentstack.dev",
  "hosts": [
    {
      "apiId": "usr-MlFW0guGKlINovC",
      "name": "Alex Rivera",
      "username": "alexrivera",
      "bioShort": "Founder @ AgentStack | Hosting weekly AI builder nights in SF",
      "linkedIn": "https://www.linkedin.com/in/alex-rivera-ai",
      "twitter": "https://x.com/alexrivera_ai",
      "website": "https://agentstack.dev",
      "isVerified": true
    }
  ],
  "calendarId": "cal-mc9ZW5C3TzHDv6L",
  "calendarName": "SF AI Builders Collective",
  "calendarSlug": "sf-ai-builders",
  "calendarUrl": "https://lu.ma/sf-ai-builders",
  "calendarWebsite": "https://sfaibuilders.org",
  "calendarTwitter": "https://x.com/sfaibuilders",
  "sourceTarget": "sf",
  "scrapedAt": "2026-11-03T03:50:00Z"
}
```

***

### 🛠️ Input Parameters

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `targets` | `array` | `["ai"]` | Category slugs (`ai`, `crypto`, `climate`, `tech`, `wellness`), City/Place slugs (`sf`, `nyc`, `london`, `singapore`, `tokyo`, `berlin`), Calendar slugs (`latent-space`), Event slugs, or full `https://lu.ma/...` URLs. |
| `keyword` | `string` | `""` | Optional keyword filter matched against event title, city, country, host name, or calendar name. |
| `maxItems` | `integer` | `50` | Maximum number of validated events to return. |
| `includeEventDetails` | `boolean` | `false` | Fetch full event page details to include full text `description`, `ticketTiers` (prices & spots remaining), and `registrationQuestions`. |
| `onlyWithSocials` | `boolean` | `false` | **Lead-Gen Mode**: Only return events where at least one host or organizing calendar has a LinkedIn, X/Twitter, Instagram, or Website URL. |

***

### 🔌 Using with n8n, Make, Clay & AI Agents (MCP)

1. **n8n / Make.com**: Add the **Apify — Run an Actor** node, select `velodata-labs/luma-events-scraper`, pass `{"targets": ["ai", "sf"], "onlyWithSocials": true, "maxItems": 100}`, and route the dataset items directly into **Clay, HubSpot, Instantly, or Smartlead**.
2. **Claude / Cursor / MCP Clients**: Compatible out-of-the-box with `https://mcp.apify.com` — ask your agent: *"Use velodata-labs/luma-events-scraper to find 30 upcoming AI events in San Francisco with organizer LinkedIn links."*

# Actor input Schema

## `targets` (type: `array`):

List of Luma slugs or full URLs to scrape. Examples: 'ai', 'crypto', 'climate', 'sf', 'nyc', 'london', 'singapore', 'latent-space', or 'https://lu.ma/ai'. Leave empty to scrape global featured upcoming events.

## `keyword` (type: `string`):

Case-insensitive keyword filter applied to event name, description, city, or host name (e.g., 'agent', 'founder', 'hackathon').

## `maxItems` (type: `integer`):

Maximum number of events to return across all targets.

## `includeEventDetails` (type: `boolean`):

When enabled, fetches the full event detail endpoint for each event to include full markdown description, exact ticket price tiers, and registration questions.

## `onlyWithSocials` (type: `boolean`):

Filter for B2B lead generation: only keep events where at least one host or organizer calendar has a LinkedIn, Twitter/X, Instagram, YouTube, or Website URL.

## Actor input object example

```json
{
  "targets": [
    "ai"
  ],
  "maxItems": 50,
  "includeEventDetails": false,
  "onlyWithSocials": false
}
```

# Actor output Schema

## `events` (type: `string`):

JSON/CSV dataset of extracted Lu.ma events including event details, location, guest counts, ticket pricing, calendar details, and host social links (LinkedIn, X/Twitter, Instagram, Website).

# 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 = {
    "targets": [
        "ai"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("velodata-labs/luma-events-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 = { "targets": ["ai"] }

# Run the Actor and wait for it to finish
run = client.actor("velodata-labs/luma-events-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "targets": [
    "ai"
  ]
}' |
apify call velodata-labs/luma-events-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,velodata-labs/luma-events-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/UnFRnUkzL94MiGpgI/builds/Ozq3vvVa93OCy6cGu/openapi.json