Luma Events Scraper – lu.ma Events, Ticket Prices, Sold-Out & Organizers

Scrape Luma (lu.ma / luma.com) events by city (80+ cities worldwide), category (AI, tech, crypto, climate, arts, food…), organizer calendar, any coordinates or single event URL. Get date & time zone, venue and full address, ticket prices for every ticket type, sold-out status, spots remaining, guest count, full description, categories and the organizer's website and social links. Built-in new-event monitor – schedule it and get only new or changed events. No login, no proxy, no browser – fast and cheap.

🚀 Quick start (60 seconds)

1. Paste Luma pages into Luma URLs, e.g. https://luma.com/nyc, https://luma.com/ai, an organizer calendar https://luma.com/<calendar> or an event https://lu.ma/<event>. Or just type cities (London, Berlin) or categories (crypto).
2. Optional: filters (keywords, free/paid, in-person/online, date range, only open events) and Max events per source.
3. Click Start and export to JSON, CSV, Excel or Google Sheets.

{
  "startUrls": ["https://luma.com/sf", "https://luma.com/southparkcommons-events"],
  "cities": ["New York", "London"],
  "categories": ["ai"],
  "priceFilter": "any",
  "maxEventsPerSource": 100
}

Sample output

{
  "eventId": "evt-Mhu0MM7WcH2hVNl",
  "name": "Undefined + EvolveDigital / Oct 22nd 2026",
  "url": "https://luma.com/undefined-20261022",
  "startAt": "2026-10-22T22:00:00.000Z",
  "endAt": "2026-10-23T01:00:00.000Z",
  "timezone": "America/New_York",
  "locationType": "offline",
  "isOnline": false,
  "venueName": "Automattic",
  "fullAddress": "Automattic, 166 Crosby St, New York, NY 10012, USA",
  "city": "New York",
  "sublocality": "NoHo",
  "region": "New York",
  "country": "United States",
  "countryCode": "US",
  "latitude": 40.7258728,
  "longitude": -73.9954015,
  "addressVisibility": "public",
  "isFree": false,
  "minPrice": 10,
  "maxPrice": 10,
  "currency": "USD",
  "isFlexiblePrice": false,
  "isSoldOut": false,
  "spotsRemaining": 43,
  "isNearCapacity": false,
  "requireApproval": false,
  "registrationStatus": "open",
  "waitlistActive": false,
  "guestCount": 57,
  "coverUrl": "https://images.lumacdn.com/uploads/y5/b9090853-35f8-463d-9061-7f6c2d62021c.png",
  "organizerName": "Undefined by Design Systems House",
  "organizerIsPersonal": false,
  "organizerCalendarId": "cal-WQdHOC8maJn4fyw",
  "organizerUrl": "https://luma.com/undefined-live",
  "organizerDescription": "Undefined is research at play. An in-person event that asks people in the industry questions about usability and best practices in tech.",
  "organizerWebsite": "https://undefined.ds.house",
  "organizerVerified": false,
  "organizerAvatarUrl": "https://images.lumacdn.com/calendars/wn/a056527a-975c-460e-8a5f-829e750afd4e.png",
  "organizerTwitter": "designsyshouse",
  "organizerInstagram": "designsyshouse",
  "organizerLinkedin": "https://www.linkedin.com/company/designsyshouse",
  "organizerYoutube": "designsyshouse",
  "featuredCity": "New York",
  "sourceType": "city",
  "source": "New York",
  "categories": [
    "Games",
    "Tech"
  ],
  "ticketTypes": [
    {
      "name": "Standard",
      "type": "fiat-price",
      "price": 10,
      "currency": "USD",
      "maxCapacity": null,
      "spotsRemaining": null,
      "registered": 57,
      "requireApproval": false,
      "soldOutOrDisabled": false
    }
  ],
  "ticketCount": 57,
  "hasAvailableTickets": true,
  "relatedCalendars": [],
  "scrapedAt": "2026-10-21T22:52:58.122Z",
  "descriptionText": "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…"
}

With Include details on (default, no extra charge) every event also has descriptionText, categories and ticketTypes (name, price, currency, capacity, spots remaining, registrations per ticket type).

Why this Luma scraper?

• Every way in: city, category, organizer calendar (future + optional past events), lat/lng anywhere in the world, or single event URLs – mix them in one run, duplicates removed.
• Ticket intelligence: min/max price, currency, flexible pricing, every ticket type, sold-out, spots left, near-capacity, waitlist, approval required, guest count.
• Organizer data for outreach & partnerships: organizer name, Luma calendar URL, website, X/Twitter, Instagram, LinkedIn, YouTube (organizations only – personal calendars are anonymized).
• Monitor mode: get only new events in your city/category each day, or price / sold-out changes. Skipped events are free.
• Flat CSV output & webhook summary for Zapier, Make, n8n, Slack.
• Cheap: $2.25 per 1,000 events, details included – 25% below the next cheapest popular Luma scraper and up to 90% below others.

Use cases

• Event discovery newsletters, city guides and "what's on" apps
• Sponsorship, partnership and B2B lead generation (find active AI / crypto / startup community organizers)
• Market research on the tech-event scene: pricing, capacity and attendance by city or topic
• Feed AI agents / RAG pipelines with up-to-date local events
• Track competitors' events and sell-outs

Input

Field	Description
startUrls	Luma city, category, calendar or event URLs (lu.ma or luma.com).
cities, categories	Luma discover cities (e.g. nyc, London, tokyo) and categories (ai, tech, crypto…).
nearCoordinates	"lat,lng" – events near any point.
categoriesAlsoAsStandaloneFeeds	With categories + locations, also scrape the full city feeds (default: category × location only).
keywords / excludeKeywords	Include/exclude by words in name/organizer.
priceFilter, onlyAvailable, locationType	Free/paid, drop sold-out/closed, in-person/online.
dateFrom, dateTo	Start-date window.
includePastCalendarEvents	Also past events of organizer calendars.
includeDetails	Description, categories, ticket types, venue address (default on, free).
maxEventsPerSource, maxResultsTotal	Limits (0 = all).
monitorMode, monitorKey, outputFormat, summaryWebhookUrl	Monitoring & output options (see below).

Output

One row per event. Dataset views: Overview, Organizers and Changes. Key fields: eventId, name, url, startAt, endAt, timezone, locationType, venueName, fullAddress, city, region, country, latitude, longitude, isFree, minPrice, maxPrice, currency, isSoldOut, spotsRemaining, isNearCapacity, registrationStatus, waitlistActive, guestCount, organizer*, descriptionText, categories, ticketTypes, scrapedAt. A run summary is saved to the key-value store as SUMMARY.

⭐ Unique: Monitor mode, CSV-ready output & webhook summary

• Monitor mode remembers events between runs (per monitorKey): all adds changeType (new / changed / unchanged) and a field diff; changes outputs only new or changed events (price, sold-out, spots left, date…); onlyNew outputs only brand-new events. Skipped events are not charged.
• Flat output turns nested fields into columns – perfect for Google Sheets.
• Summary webhook POSTs counts and highlights to your Zapier / Make / n8n / Slack URL at the end of each run.

Tip: schedule daily with cities: ["nyc"], categories: ["ai"], monitorMode: "onlyNew" for a daily new-events feed.

💰 Pricing (pay per result)

Event	Price
Run start	$0.00005
Event (details included)	$2.25 / 1,000

Filtered-out events and monitor-skipped events are free. 100 events ≈ $0.23.

Notes & limitations

• Luma city pages list the curated upcoming events of that city. Category feeds are location-based: the Actor combines each category with each city/coordinate you give (e.g. categories: ["ai"] + cities: ["London"] = AI events in London); with no location, Luma uses the area near the server (US East).
• Some organizers hide the exact address until you register – then venueName/fullAddress are empty and only city / neighborhood / approximate coordinates are given.
• Private, invite-only or unlisted events are not accessible.

Legal & privacy

Only publicly listed event information is collected. The Actor does not collect guest lists, attendee names, host personal profiles, emails or phone numbers; calendars owned by an individual are anonymized (organizerIsPersonal: true). You are responsible for using the data in line with Luma's terms and applicable law (GDPR/CCPA).

🔌 Integrations & API

Use the Apify API, JavaScript/Python clients, Zapier, Make, n8n, Google Sheets, Slack or webhooks. Works as an MCP tool for AI agents.

❓ More FAQ

Does it need a Luma account or proxy? No. Which cities are supported? All Luma discover cities (NYC, SF, LA, London, Berlin, Paris, Tokyo, Seoul, Dubai… 80+); any other place via coordinates. Can I get past events? Yes, for organizer calendars with includePastCalendarEvents.

Changelog

• 1.0 – Initial release: cities, categories, calendars, coordinates, events; ticket types; monitor mode; flat output; webhook summary.