Luma Events Scraper

The Luma Events Scraper is an Apify actor that helps you extract public events listed on lu.ma, a popular platform for organizing and discovering online and in-person events. This actor is designed to collect global events based on custom search queries.

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✨ Key Features

• 🔍 Search events using one or more keywords or phrases (query and/or queries)
• 🌍 Search events in a specific location
• 📌 Extract detailed event info including title, date, time, organizer, location, category, and event URL

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💡 Why It's Important

Luma is a fast-growing hub for curated global events—ranging from professional meetups and educational workshops to creative and wellness sessions. With this actor, you can tap into this ecosystem for:

• Event trend analysis
• Influencer & brand monitoring
• Community growth insights
• Competitive benchmarking

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👤 Who Is It For?

This actor is a perfect tool for:

• 🧑‍💻 Developers building event aggregators
• 📊 Researchers analyzing event patterns
• 📣 Marketers tracking niche events
• 📅 Calendar-based app developers

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🛠 Input Schema

{
  "query": "Her",
  "queries": ["party", "meetup"],
  "maxItems": 10,
  "indexedDateAfter": "2024-05-01",
  "indexedDateBefore": "2024-06-01",
  "location": "Paris, Île-de-France",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Field	Description
query	Primary search keyword(s). Optional if queries is non-empty.
queries	Additional keywords (array of strings). Optional if query is non-empty.
maxItems	Maximum events to collect per search keyword (default: 10).
indexedDateAfter / indexedDateBefore	Optional: filter by Google indexing date (YYYY-MM-DD), not event date.
location	Optional: location string (see below).
proxyConfiguration	Optional: Apify Proxy settings for the browser crawler. Default in the actor input is { "useApifyProxy": true }; you can adjust groups, country, or use a custom proxy in the Apify Console proxy editor.

You must provide at least one keyword: use query, queries, or both. Values are merged in order (query first, then each entry in queries); duplicates are removed (case-insensitive). Each remaining keyword runs as its own search.

Both indexedDateAfter and indexedDateBefore filter by the Google indexing date, not the event date itself.

location is optional and can be used to search for events in a specific location. This string must appear in the event page, so the more concrete the better to find the right events. Examples:

• 5 bis Rue de Beauce, 75003 Paris, France
• 75003 Paris, France
• Artverse Gallery
• Paris, Île-de-France
• France (❗ this will yield any event that includes France in its page)

How to find a good value for location?

1. Open an example event page you'd like to scrape
2. Find the location section in the event page
3. Copy the location string
4. Paste the location string into the location field in the actor

This will yield the most relevant events.

Output Schema

Each dataset item includes the search keyword that produced the event in the query field, so you can tell which run matched when using multiple keywords.

{
  "api_id": "evt-O7EHBXYBhQPkkzM",
  "accepts_usdc_for_usd": false,
  "calendar": {
    // ...
  },
  "meta_pixel_id": null,
  "coupon": null,
  "google_measurement_id": null,
  "stripe_account_id": null,
  "payment_methods": [],
  "event": {
    "api_id": "evt-O7EHBXYBhQPkkzM",
    "calendar_api_id": "cal-HKsZ9ey1Sj9gYEz",
    "cover_url": "https://images.lumacdn.com/event-covers/fg/791cacea-f395-4993-be7a-40c32162bb88",
    "end_at": "2024-06-12T19:00:00.000Z",
    "event_type": "independent",
    "hide_rsvp": false,
    "location_type": "offline",
    "name": "H.E.R. DAO X AVALANCHE Builder Soirée",
    "one_to_one": true,
    "recurrence_id": null,
    "show_guest_list": false,
    "start_at": "2024-06-12T16:00:00.000Z",
    "timezone": "Europe/Amsterdam",
    "url": "3x75db9v",
    "user_api_id": "usr-tSgIewpKpM1ig81",
    "visibility": "public",
    "waitlist_enabled": false,
    "virtual_info": {
      "has_access": false
    },
    "geo_longitude": "4.908389",
    "geo_latitude": "52.375833",
    "geo_address_info": {
      "city": "Amsterdam",
      "type": "google",
      "region": "Noord-Holland",
      "address": "Oosterdokskade 143",
      "country": "Netherlands",
      "place_id": "ChIJLQ3Su7oJxkcRNS9O3qEnNRY",
      "city_state": "Amsterdam, Noord-Holland",
      "description": "",
      "full_address": "Oosterdokskade 143, 1011 DL Amsterdam, Netherlands",
      "mode": "shown"
    },
    "geo_address_visibility": "public",
    "coordinate": {
      "latitude": 52.375833,
      "longitude": 4.908389
    }
  },
  "start_at": "2024-06-12T16:00:00.000Z",
  "guest_data": {
    // ...
  },
  "featured_guests": [],
  "refund_policy": null,
  "guest_count": 0,
  "ticket_count": 0,
  "hosts": [
    {
      // ...
    }
  ],
  "referred_by": null,
  "cover_image": {
    "vibrant_color": null,
    "colors": ["#322822", "#4a5f72", "#75716c", "#fbfaf6"]
  },
  "sessions": [],
  "ticket_types": [
    {
      // ...
    }
  ],
  "featured_infos": [
    {
      // ...
    }
  ],
  "categories": [],
  "ticket_info": {
    // ...
  },
  "subscribed_to_calendar": false,
  "event_invite": null,
  "role": null,
  "sold_out": false,
  "locale": "en",
  "theme_meta": {
    "theme": "legacy"
  },
  "tint_color": "#07a460",
  "can_register_for_multiple_tickets": false,
  "font_title": null,
  "description_mirror": {
    // ...
  },
  "eth_address_requirement": null,
  "name_requirement": "full-name",
  "phone_number_requirement": null,
  "solana_address_requirement": null,
  "registration_questions": [
    {
      // ...
    }
  ],
  "is_flagged": false,
  "show_unlock_code_option": false,
  "membership_tiers": [],
  "membership_info": null,
  "name": "H.E.R. DAO X AVALANCHE Builder Soirée",
  "mainImageUrl": "https://images.lumacdn.com/event-covers/fg/791cacea-f395-4993-be7a-40c32162bb88",
  "url": "https://lu.ma/3x75db9v",
  "query": "Her",
  "end_at": "2024-06-12T19:00:00.000Z"
}

👀 p.s.

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Image Credit: https://lu.ma