Luma Scraper

Luma Scraper extracts public events from Luma (formerly lu.ma) into clean, structured data you can download as JSON, CSV, Excel, or HTML. Paste a Luma city, category, calendar, or event URL, or type a few keywords, and get the event name, date and time, venue with address and coordinates, ticket prices, guest count, hosts with their social profiles, and the full description for every event. No account or login required.

Introduction

Luma is an event platform used by communities, startups, and creators to run meetups, conferences, hackathons, workshops, parties, and run clubs. It is especially popular for AI, tech, crypto, and startup events in cities like New York, San Francisco, London, and Dubai, which makes its data valuable for finding events, organizers, and active communities.

This Luma scraper collects the same public information you see in your browser and turns it into a ready-to-use dataset. You can run it once, schedule it to run daily, or connect it to your own tools as a Luma API alternative.

What data can you extract from Luma?

• 🏷️ Event name, description, cover image, categories, and language
• 📅 Start and end date and time, with the event time zone
• 📍 In person or online, venue name, full address, city, region, country, country code, latitude, and longitude
• 💲 Free or paid, ticket price, maximum price, and currency
• 🎟️ Every ticket type with its name, price, capacity, spots remaining, registrations, approval requirement, and sales window
• 👥 Guest count, spots remaining, sold out status, registration status, and waitlist status
• 🏢 Calendar (organizer) with name, page URL, bio, website, and social links (Instagram, X, LinkedIn, TikTok, YouTube)
• 🧑‍💼 Hosts and featured guests with name, profile URL, bio, website, and social links
• 🔗 Direct URL to each event

Use Cases

• 📈 Market research: see which topics, cities, and communities run the most events, and how prices and attendance change over time.
• 🤝 Lead generation: build lists of event organizers, hosts, and speakers with their websites and social profiles.
• 🎯 Sponsorship and partnerships: find relevant meetups and conferences to sponsor, speak at, or partner with.
• 🗓️ Event aggregation: power a city newsletter, community calendar, or app with fresh upcoming events.
• 🤖 AI and automation: feed clean, structured event data into spreadsheets, dashboards, CRMs, or AI workflows.

How to scrape Luma step by step

1. Paste one or more Luma URLs into Start URLs, or type keywords into Search queries.
2. Optionally set City, Category, Date from, Date to, Event type, or Price to narrow your search queries.
3. Set Maximum number of results to how many events you want per URL or per query.
4. Click Start and wait for the run to finish.
5. Download your data in JSON, CSV, Excel, or HTML from the Output tab.

Input

• Start URLs: Luma URLs to scrape. Supported pages:
  • City pages, for example https://luma.com/nyc or https://luma.com/dubai
  • Category pages, for example https://luma.com/ai or https://luma.com/tech (set City to choose where the events are)
  • Calendar and community pages, for example https://luma.com/clickhouse-events; add ?period=past to get past events
  • Single event pages, for example https://luma.com/wbaz5nm8
  • Old lu.ma links work too.
• Search queries: keywords to search Luma events for, one per line (for example startup or design). Each query is scraped separately.
• Maximum number of results: how many events to collect for each start URL or search query. Set 0 for no limit.
• City: a Luma city name or slug, for example New York, nyc, Dubai, or london. It limits search queries to that city and sets the location for category pages.
• Category: limits search queries to one Luma category (AI, Arts & Culture, Books, Climate, Crypto, Family, Fitness, Food & Drink, Games, Running, Tech, Wellness).
• Date from and Date to: only events starting within these dates. Applies to search queries.
• Event type: any, in person, or online events. Applies to search queries.
• Price: any, free, or paid events. Applies to search queries.

You can use start URLs, search queries, or both in the same run.

Input Examples

Scrape upcoming events in New York:

{
  "startUrls": [{ "url": "https://luma.com/nyc" }],
  "maxResults": 5
}

Search by keyword:

{
  "searchQueries": ["startup"],
  "maxResults": 5
}

Search for free, in-person AI events about founders in New York in November:

{
  "searchQueries": ["founders"],
  "city": "New York",
  "category": "ai",
  "dateFrom": "2026-11-01",
  "dateTo": "2026-11-30",
  "eventType": "in-person",
  "price": "free",
  "maxResults": 5
}

Output

Each event is saved as one item in the dataset. Here is an example of a single item:

{
  "url": "https://luma.com/undefined-20261022",
  "id": "evt-Mhu0MM7WcH2hVNl",
  "name": "Undefined + EvolveDigital / Oct 22nd 2026",
  "description": "A live game show for people who build on the web\n\nEvolveDigital and Undefined are teaming up at Automattic's NoHo office ahead of EvolveDigital NYC, the two-day...",
  "startAt": "2026-10-22T22:00:00.000Z",
  "endAt": "2026-10-23T01:00:00.000Z",
  "timezone": "America/New_York",
  "locationType": "In person",
  "venue": "Automattic",
  "address": "Automattic, 166 Crosby St, New York, NY 10012, USA",
  "city": "New York",
  "region": "New York",
  "country": "United States",
  "countryCode": "US",
  "latitude": 40.7258728,
  "longitude": -73.9954015,
  "lumaCity": "New York",
  "imageUrl": "https://images.lumacdn.com/uploads/y5/b9090853-35f8-463d-9061-7f6c2d62021c.png",
  "categories": ["Games", "Tech"],
  "isFree": false,
  "price": 10,
  "maxPrice": null,
  "currency": "USD",
  "isSoldOut": false,
  "spotsRemaining": 39,
  "requiresApproval": false,
  "registrationStatus": "Open",
  "waitlistActive": false,
  "guestCount": 61,
  "ticketTypes": [
    {
      "id": "ttype-AM1dPg3QJsKizC5",
      "name": "Standard",
      "type": "Paid",
      "price": 10,
      "minPrice": null,
      "currency": "USD",
      "isFlexible": false,
      "description": null,
      "capacity": null,
      "spotsRemaining": null,
      "registered": 61,
      "requiresApproval": false,
      "isAvailable": true,
      "salesStart": null,
      "salesEnd": null
    }
  ],
  "calendar": {
    "id": "cal-WQdHOC8maJn4fyw",
    "name": "Undefined by Design Systems House",
    "username": null,
    "url": "https://luma.com/undefined-live",
    "bio": "Undefined is research at play. An in-person event that asks people in the industry questions about usability and best practices in tech.",
    "avatarUrl": "https://images.lumacdn.com/calendars/wn/a056527a-975c-460e-8a5f-829e750afd4e.png",
    "website": "https://undefined.ds.house",
    "instagram": "https://www.instagram.com/designsyshouse",
    "twitter": "https://x.com/designsyshouse",
    "linkedin": "https://www.linkedin.com/company/designsyshouse",
    "tiktok": "https://www.tiktok.com/@designsyshouse",
    "youtube": "https://www.youtube.com/@designsyshouse",
    "isVerified": false
  },
  "hosts": [
    {
      "id": "usr-fsHqi6dWYW70MHF",
      "name": "Design Systems House",
      "username": "designsyshouse",
      "url": "https://luma.com/user/designsyshouse",
      "bio": "Dedicated to the future of design systems.",
      "avatarUrl": "https://images.lumacdn.com/avatars/vl/996cab10-4375-4ae7-a78f-90b968a558f1.jpg",
      "website": "https://ds.house",
      "instagram": "https://www.instagram.com/designsyshouse",
      "twitter": "https://x.com/designsyshouse",
      "linkedin": null,
      "tiktok": "https://www.tiktok.com/@designsyshouse",
      "youtube": "https://www.youtube.com/@designsyshouse",
      "isVerified": false
    }
  ],
  "featuredGuests": [
    {
      "id": "usr-1XmNIzg1XXiPEih",
      "name": "Abhi Gupta",
      "username": "abhigupta",
      "url": "https://luma.com/user/abhigupta",
      "bio": "I'm a savvy Engineer, Investor, and Entrepreneur who thrives on transforming grand ideas into tangible success.",
      "avatarUrl": "https://images.lumacdn.com/avatars/jq/99954fe3-f213-4ac1-8a01-b8e75ab5035f.jpg",
      "website": "https://www.abhigupta.com",
      "instagram": null,
      "twitter": null,
      "linkedin": "https://www.linkedin.com/in/abhimanyug",
      "tiktok": null,
      "youtube": null,
      "isVerified": false
    }
  ],
  "language": "en"
}

You can download the dataset in JSON, CSV, Excel, XML, or HTML, or access it through the Apify API.

Notes

• Luma returns at most 50 events per keyword search. For more results, use a city or calendar URL, or split a broad keyword into several narrower ones.
• Category pages on Luma show events near a location, so category start URLs need the City input. Without it, the category URL is skipped with a warning.
• Date from, Date to, Event type, and Price apply to search queries only. City and calendar URLs return their events as shown on Luma.
• The Luma discover page and user profile pages are not supported; these URLs are skipped.
• Some organizers show the exact address only to registered guests. For those events, venue and address are empty, while city and country are usually still filled.
• City names and addresses follow what the organizer entered, so some may appear in the local language.
• Each event is saved once per run, even when it matches several start URLs or queries.

Why use the Luma Scraper?

• ✅ No login needed: works with public data only, so there is no account to manage.
• 🌍 Every way to find events: cities, categories, calendars, single events, and keyword search with city, category, date, type, and price filters.
• 🎟️ Full ticket details: every ticket type with price, capacity, and remaining spots, not only a single price.
• 🧑‍💼 Organizer leads included: calendars, hosts, and featured guests come with websites and social links.
• 🧹 Clean data: prices are real numbers, dates use one standard format, and descriptions are plain text.
• 🔄 Ready for automation: schedule runs, export to Google Sheets, or connect to Make, Zapier, and n8n.

FAQ

How many events can I scrape?

Set any number in Maximum number of results, or 0 for no limit. The actor keeps going until it reaches your limit or runs out of events. See Notes for the limit on keyword searches.

Do I need a Luma account?

No. The actor only collects publicly available event data. You do not need to log in or provide any account details.

Can I get past events?

Yes, for calendar and community pages. Add ?period=past to the calendar URL, for example https://luma.com/clickhouse-events?period=past.

Can I scrape data on a schedule?

Yes. Use Apify Schedules to run the actor every hour, day, or week, and get fresh Luma events automatically.

Why are some fields empty?

Not every event shows every piece of information. When a field is not available on Luma, it is returned as null.

Can I request a new feature or filter?

Yes. If you need other inputs, such as attendee details or more filters, get in touch and they can be added.

Can I get a custom or private version?

Yes. The actor can be customized for your workflow, delivered as a private version, or a new scraper can be built for a different website. Use the contact details below.

Need to scrape other event platforms?

• Fever Scraper - Events & Experiences: events and experiences by city, category, or keyword.
• Ticketmaster Scraper: concerts, sports, and theatre events with ticket prices.
• Get-In Scraper - Events: events, parties, festivals, and concerts.
• Get-In Producers Scraper: event organizers and artists with their profiles.
• Webook Scraper - Events & Experiences: events, concerts, matches, and experiences.

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Need help or want a custom solution?

• 📧 Email: aboo.script@gmail.com
• 🧩 More scrapers: Apify profile

Image Credit

Image credit: Luma