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

🔍 Luma Scraper (luma-scraper) extracts event and company insights from Luma pages—names, dates, details & more. ⚡ Fast, reliable, SEO-friendly data for B2B lead gen, research & outreach. 📈 Automate your workflow today!

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

## Pricing

from $2.99 / 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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

## 🎟️ 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("simpleapi/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("simpleapi/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 simpleapi/luma-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Luma Scraper",
        "description": "🔍 Luma Scraper (luma-scraper) extracts event and company insights from Luma pages—names, dates, details & more. ⚡ Fast, reliable, SEO-friendly data for B2B lead gen, research & outreach. 📈 Automate your workflow today!",
        "version": "0.1",
        "x-build-id": "eW8nlR1zzcgNTSdLu"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/simpleapi~luma-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-simpleapi-luma-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/simpleapi~luma-scraper/runs": {
            "post": {
                "operationId": "runs-sync-simpleapi-luma-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/simpleapi~luma-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-simpleapi-luma-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "properties": {
                    "query": {
                        "title": "🔎 Search query",
                        "type": "string",
                        "description": "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": {
                        "title": "➕ Additional queries",
                        "type": "array",
                        "description": "Extra search keywords. Each is searched separately and results are merged + de-duplicated.",
                        "items": {
                            "type": "string"
                        },
                        "default": []
                    },
                    "location": {
                        "title": "📍 Location",
                        "type": "string",
                        "description": "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": {
                        "title": "🎯 Max events per keyword",
                        "minimum": 1,
                        "maximum": 100000,
                        "type": "integer",
                        "description": "Maximum number of events to collect per keyword.",
                        "default": 10
                    },
                    "searchEngine": {
                        "title": "⚙️ Search engine",
                        "enum": [
                            "luma",
                            "google",
                            "auto"
                        ],
                        "type": "string",
                        "description": "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.",
                        "default": "luma"
                    },
                    "indexedDateAfter": {
                        "title": "📅 Date after",
                        "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$",
                        "type": "string",
                        "description": "Only include events on/after this date (YYYY-MM-DD). For the Luma engine this filters the event start date (upcoming events only); for Google it is the indexed date."
                    },
                    "indexedDateBefore": {
                        "title": "📅 Date before",
                        "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$",
                        "type": "string",
                        "description": "Only include events before this date (YYYY-MM-DD). See note on Date after for engine-specific semantics."
                    },
                    "resolvePlaceId": {
                        "title": "🌍 Precise geo-filtering",
                        "type": "boolean",
                        "description": "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.",
                        "default": true
                    },
                    "proxyConfiguration": {
                        "title": "🛡️ Proxy configuration",
                        "type": "object",
                        "description": "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.",
                        "default": {
                            "useApifyProxy": true
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```