Source Code

Luma Events Skill

Fetch structured event data from Luma (lu.ma) without authentication. Luma is a popular platform for tech meetups, startup events, conferences, and community gatherings.

How It Works

Luma is a Next.js SSR app. All event data is embedded in the HTML as JSON inside a <script id="__NEXT_DATA__"> tag. The Python script extracts this data - no API key needed.

Quick Start

python3 scripts/fetch_events.py bengaluru mumbai --days 14

Usage

python3 scripts/fetch_events.py <city> [cities...] [--days N] [--max N] [--json]

Parameters

city: City slug (bengaluru, mumbai, delhi, san-francisco, new-york, london, etc.)
--days N: Only show events within N days (default: 30)
--max N: Maximum events per city (default: 20)
--json: Output raw JSON instead of formatted text

Popular City Slugs

India: bengaluru, mumbai, delhi, hyderabad, pune
USA: san-francisco, new-york, austin, seattle, boston
Global: london, singapore, dubai, toronto, sydney

Output Format

Human-readable (default)

============================================================
📍 BENGALURU — 5 events
============================================================

🎯 AI Engineers Day with OpenAI
📍 Whitefield, Bengaluru
📅 Jan 31, 2026 10:30 AM IST
👥 OpenAI, Google AI
👤 1411 going
🎫 Available (150 spots)
🔗 https://lu.ma/57tarlkp

🎯 Startup Fundraising Masterclass
📍 Koramangala, Bengaluru
📅 Feb 02, 2026 06:00 PM IST
🟢 Free (50 spots)
🔗 https://lu.ma/startup-funding

JSON output (`--json`)

[
  {
    "city": "bengaluru",
    "count": 5,
    "events": [
      {
        "event": {
          "name": "AI Engineers Day",
          "start_at": "2026-01-31T05:00:00.000Z",
          "end_at": "2026-01-31T12:30:00.000Z",
          "url": "57tarlkp",
          "geo_address_info": {
            "city": "Bengaluru",
            "address": "Whitefield",
            "full_address": "..."
          }
        },
        "hosts": [{"name": "OpenAI", "linkedin_handle": "/company/openai"}],
        "guest_count": 1411,
        "ticket_info": {
          "is_free": false,
          "is_sold_out": false,
          "spots_remaining": 150
        }
      }
    ]
  }
]

Event Persistence

Always save fetched events to ~/clawd/memory/luma-events.json for future reference.

This allows you to:

Answer questions about events without repeated fetches
Track which events the user is interested in
Compare events across cities
Build context about upcoming plans

When to save:

After fetching events for any city
Merge with existing data (by event URL)
Keep events for next 60 days only
Add lastFetched timestamp

Format:

[
  {
    "city": "bengaluru",
    "name": "AI Engineers Day",
    "start": "2026-01-31T05:00:00.000Z",
    "end": "2026-01-31T12:30:00.000Z",
    "url": "https://lu.ma/57tarlkp",
    "venue": "Whitefield, Bengaluru",
    "hosts": ["OpenAI", "Google AI"],
    "guestCount": 1411,
    "ticketStatus": "available",
    "spotsRemaining": 150,
    "isFree": false,
    "lastFetched": "2026-01-29T12:54:00Z"
  }
]

Common Use Cases

Find tech events this week

python3 scripts/fetch_events.py bengaluru --days 7

Check multiple cities for AI events

python3 scripts/fetch_events.py bengaluru mumbai san-francisco --days 14 --json | jq '.[] | .events[] | select(.event.name | contains("AI"))'

Get next 5 events in a city

python3 scripts/fetch_events.py new-york --max 5

Example Queries

User: "What tech events are happening in Bangalore this weekend?" → Fetch Bengaluru events for next 7 days, save to memory

User: "Any AI meetups in Mumbai next month?" → Fetch Mumbai events for next 30 days, filter for AI-related, save to memory

User: "Compare startup events in SF vs NYC" → Fetch both cities, compare, save both to memory

Notes

No authentication: Luma event pages are public
City slugs: Use lowercase, hyphenated slugs (san-francisco, not San Francisco)
Rate limiting: Respectful fetching only (don't hammer the servers)
Data freshness: Events are live data from the HTML, always current
Timezone: Times are in the event's local timezone (extracted from start_at)

Troubleshooting

"Could not find NEXT_DATA" → Luma changed their HTML structure, script needs updating

"Unexpected data structure" → The JSON path changed, check the latest HTML

No events returned → City slug might be wrong, or no upcoming events for that city

Timeout errors → Network issue, retry or check internet connection

Dependencies

Python 3.6+ (stdlib only - no external packages needed)
urllib, json, re, argparse, datetime (all built-in)

Changelog

v1.0.0 (2026-01-29)

Initial release
Support for multiple cities
Human-readable and JSON output
Date filtering (--days)
Event limit per city (--max)
Event persistence to memory file

luma