# Luma Scraper (`scraper-engine/luma-scraper`) Actor

🔎 Luma Scraper extracts rich event and exhibitor details from Luma pages—fast, accurate, and structured. 🚀 Perfect for B2B lead gen, partnerships, research & analytics. 📈 Get insights in minutes, not hours.

- **URL**: https://apify.com/scraper-engine/luma-scraper.md
- **Developed by:** [Scraper Engine](https://apify.com/scraper-engine) (community)
- **Categories:** Lead generation, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Event Scraper

Search **[lu.ma](https://lu.ma)** for public events by **keyword**, **location**, and **date window** — or paste event URLs directly — and export the **complete event record** (organizers, venue, schedule, tickets, cover art, description, and more) to a clean dataset.

No login, no cookies, no headless browser. The scraper talks to Luma's public JSON API and only reaches for a proxy if Luma starts pushing back.

***

### ✨ Why Choose This Actor?

- ⭐ **Works out of the box, no proxy needed** — the default Luma engine queries Luma directly.
- 🧠 **Smart proxy ladder** — starts direct, and *only* escalates to a datacenter → residential proxy if Luma blocks you. Once it escalates, it sticks to the working tier.
- 📍 **Precise geo-filtering** — resolves your location to Luma's internal place id for server-side accuracy (with a text-match fallback).
- 📅 **Date-window filtering** — narrow results to a forward window (Luma engine) or Google indexed dates (Google engine).
- 🔗 **Bulk URL mode** — already have event links? Paste them and skip search entirely.
- 💾 **Live saving + de-duplication** — every event is written the moment it's fetched, de-duplicated by event id.
- 📊 **Four ready-made views** — Overview, Location, Schedule, and Content.

***

### 🔧 Input

| Field | Type | Description |
|-------|------|-------------|
| `query` | string | Primary search keyword (e.g. `party`). |
| `queries` | array | Extra keywords, searched separately and merged. |
| `startUrls` | array | Bulk lu.ma event URLs to fetch directly (skips search). |
| `location` | string | City / region filter, e.g. `Paris, Île-de-France`. |
| `maxItems` | integer | Max events per keyword (default `10`). |
| `searchEngine` | string | `luma` (default) · `google` · `auto`. |
| `indexedDateAfter` / `indexedDateBefore` | string | `YYYY-MM-DD` date bounds. |
| `resolvePlaceId` | boolean | Precise server-side geo-filtering (default `true`). |
| `eventConcurrency` | integer | Parallel detail fetches (default `8`). |
| `maxRetries` | integer | Retries per request (default `3`). |
| `httpTimeoutSec` | number | Per-request timeout seconds (default `30`). |
| `proxyConfiguration` | object | Apify proxy — keep enabled so fallbacks are available. |

#### Example input

```json
{
  "query": "party",
  "queries": ["meetup"],
  "location": "Paris, Île-de-France",
  "maxItems": 10,
  "searchEngine": "luma",
  "proxyConfiguration": { "useApifyProxy": true }
}
```

***

### 📦 Output

Each dataset item is the **full Luma event record** plus convenience top-level fields. Abbreviated example:

```json
{
  "api_id": "evt-Z959tNsLqyaX0Xm",
  "event": {
    "name": "Champions & Founders by Experts Entreprendre & Pennylane",
    "start_at": "2026-06-09T16:00:00.000Z",
    "end_at": "2026-06-09T21:00:00.000Z",
    "cover_url": "https://images.lumacdn.com/event-covers/.../cover.png",
    "geo_address_info": { "city": "Saint-Ouen-sur-Seine", "country": "France" }
  },
  "hosts": [{ "name": "Guillaume Allaux" }],
  "query": "party",
  "name": "Champions & Founders by Experts Entreprendre & Pennylane",
  "url": "https://lu.ma/dkphsos2",
  "start_at": "2026-06-09T16:00:00.000Z",
  "end_at": "2026-06-09T21:00:00.000Z",
  "city": "Saint-Ouen-sur-Seine",
  "country": "France",
  "description": "…",
  "mainImageUrl": "https://images.lumacdn.com/event-covers/.../cover.png"
}
```

| Convenience field | Meaning |
|-------------------|---------|
| `query` | The keyword that surfaced this event. |
| `name` | Event title. |
| `url` | Public event URL. |
| `start_at` / `end_at` | Event start / end (ISO-8601). |
| `city` / `region` / `country` / `full_address` | Flattened venue info. |
| `location_type` | `offline` / `online` / `hybrid`. |
| `description` | Plain-text description (flattened from Luma's rich text). |
| `mainImageUrl` | Cover image. |

***

### 🚀 How to Use (Apify Console)

1. Log in at <https://console.apify.com> → **Actors**.
2. Open **Luma Event Scraper**.
3. Enter a `query` (and optionally `location`, `maxItems`, dates).
4. Leave **Proxy** on the default.
5. Click **Start** and watch events stream into the log in real time.
6. Open the **Output** tab — switch between the Overview / Location / Schedule / Content views.
7. Export to JSON / CSV / XLSX.

### 🤖 Use via API

```bash
curl -X POST "https://api.apify.com/v2/acts/<ACTOR_ID>/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
     -H "Content-Type: application/json" \
     -d '{"query":"party","location":"Paris","maxItems":10}'
```

***

### 💡 Best Use Cases

- 📈 Event lead generation & market research.
- 🗺️ Tracking what's happening in a specific city.
- 🤝 Finding meetups, conferences, and networking events by topic.
- 🧾 Building event datasets for analytics or aggregation.

***

### 💳 Pricing

This actor uses **pay-per-event** billing: you are charged once per **`event-scraped`** record written to the dataset, plus standard Apify platform usage. The Luma engine needs no proxy, keeping runs cheap.

***

### ❓ FAQ

**Do I need a proxy?** No. The default Luma engine works direct. A proxy is only used automatically if Luma blocks you.

**Why 0 results with a past date window?** Luma's discover API only surfaces *upcoming* events, so a window entirely in the past returns nothing on the Luma engine. Use a future window, or `searchEngine: "google"` for indexed-date (historical) search.

**Can I scrape specific events I already know?** Yes — paste their URLs into `startUrls`.

***

### ⚖️ Notes & Compliance

Data is collected only from **publicly available** Luma pages. You are responsible for compliance with applicable laws (GDPR, CCPA, anti-spam) and Luma's Terms of Service.

### 🛟 Support

Found a bug or need a new field? Open an issue on the actor's **Issues** tab.

# Actor input Schema

## `query` (type: `string`):

Primary search keyword(s), e.g. "party", "AI meetup", "hackathon". Combined with the Queries list below; duplicates are removed (case-insensitive). Use this, the list, or both.

## `queries` (type: `array`):

Extra search keywords. Each is searched separately and results are merged + de-duplicated.

## `location` (type: `string`):

City / region to filter events by, e.g. "Paris, Île-de-France" or "New York". The scraper resolves it to Luma's internal place for precise geo-filtering.

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

Maximum number of events to collect per keyword.

## `searchEngine` (type: `string`):

How to discover events. ⭐ Luma (default) needs no proxy. Google enables Google-indexed-date filtering (needs a SERP proxy). Auto tries Luma first, then Google.

## `indexedDateAfter` (type: `string`):

Only include events on/after this date (YYYY-MM-DD). For the Luma engine this filters the event start date (upcoming events only); for Google it is the indexed date.

## `indexedDateBefore` (type: `string`):

Only include events before this date (YYYY-MM-DD). See note on Date after for engine-specific semantics.

## `resolvePlaceId` (type: `boolean`):

Resolve the location to Luma's internal place id for accurate server-side geo-filtering. Falls back to text matching if it can't be resolved.

## `proxyConfiguration` (type: `object`):

The scraper starts WITHOUT a proxy. If Luma blocks requests it automatically falls back to a datacenter proxy, then a residential proxy (sticky). Keep Apify Proxy enabled so these fallbacks are available.

## Actor input object example

```json
{
  "query": "party",
  "queries": [
    "meetup"
  ],
  "location": "Paris, Île-de-France",
  "maxItems": 10,
  "searchEngine": "luma",
  "resolvePlaceId": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "query": "party",
    "queries": [
        "meetup"
    ],
    "location": "Paris, Île-de-France",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scraper-engine/luma-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 = {
    "query": "party",
    "queries": ["meetup"],
    "location": "Paris, Île-de-France",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("scraper-engine/luma-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 '{
  "query": "party",
  "queries": [
    "meetup"
  ],
  "location": "Paris, Île-de-France",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call scraper-engine/luma-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/LQBUU4BCu7DESDFAF/builds/3vd8tBCq8J1lFXvqf/openapi.json