/luma-event-attendees

name: luma-event-attendees
version: 1.0.0
description: Find speakers, hosts, and guest profiles at conferences and events on Luma. Two modes - free direct scrape for hosts, or Apify-powered search for full guest profiles with LinkedIn/Twitter/bio.
tags: [lead-generation]

luma-event-attendees

Find and extract speakers, hosts, and registered guest profiles from Luma events for outreach prospecting.

Two Modes

1. Direct Scrape (free)

Scrapes Luma event pages directly. Gets event metadata + hosts. Guest profiles only if publicly embedded in the page.

python3 scripts/scrape_event.py https://lu.ma/abc123

2. Apify Search (paid, recommended for guest lists)

Uses the `lexis-solutions/lu-ma-scraper` Apify actor to search Luma and return full event data including **featured guest profiles** (name, bio, LinkedIn, Twitter, Instagram, website).

python3 scripts/scrape_event.py --search "AI San Francisco"

**Cost:** $29/month flat subscription on Apify. **Rent:** https://console.apify.com/actors/r5gMxLV2rOF3J1fxu

Setup

1. Apify API Token (required for --search mode)

1. Create account: https://apify.com/ 2. Get API token: https://console.apify.com/account/integrations 3. Rent the Luma scraper: https://console.apify.com/actors/r5gMxLV2rOF3J1fxu ($29/mo, 24h free trial) 4. Set token:

export APIFY_API_TOKEN="apify_api_YOUR_TOKEN_HERE"
# Or create .env file in skill directory

2. Install Dependencies

pip3 install requests

Usage

Direct Scrape (free, hosts only)

# Single event
python3 scripts/scrape_event.py https://lu.ma/pwciozw0

# Multiple events
python3 scripts/scrape_event.py https://lu.ma/abc https://lu.ma/def

# Export to CSV
python3 scripts/scrape_event.py https://lu.ma/abc --output hosts.csv

Apify Search (guest profiles)

# Search for AI events in SF
python3 scripts/scrape_event.py --search "AI San Francisco"

# Just list events (don't extract people)
python3 scripts/scrape_event.py --search "SaaS NYC" --events-only

# Export all guests to CSV
python3 scripts/scrape_event.py --search "AI San Francisco" --output guests.csv

# Export as JSON
python3 scripts/scrape_event.py --search "AI SF" --output guests.json --json

Caching

Results cached for 24 hours by default:

# Force fresh fetch
python3 scripts/scrape_event.py --search "AI SF" --no-cache

# Custom cache duration
python3 scripts/scrape_event.py --search "AI SF" --cache-hours 12

Options Reference

Positional:
  urls                    Event URLs to scrape directly (free)

Search:
  --search, -s            Search Luma via Apify (e.g., 'AI San Francisco')
  --events-only           Only list events, don't extract people

Output:
  --output, -o            Output file path (.csv or .json)
  --json                  Output JSON format (default: CSV)

Cache:
  --no-cache              Skip cache, always fetch fresh
  --cache-hours           Cache max age in hours (default: 24)

Output Format

CSV Columns

| name | event_role | bio | title | company | linkedin_url | twitter_url | instagram_url | website_url | username | event_name | event_date | event_url | |------|-----------|-----|-------|---------|-------------|-------------|---------------|-------------|----------|------------|------------|-----------|

What You Get Per Person

• **name** - Full name
• **event_role** - Host, Guest, or Speaker
• **bio** - Luma profile bio
• **linkedin_url** - LinkedIn profile URL
• **twitter_url** - Twitter/X profile URL
• **instagram_url** - Instagram handle
• **website_url** - Personal website
• **username** - Luma username
• **event_name** - Which event they're associated with
• **event_date** - Event date (ISO format)
• **event_url** - Link to the event

AI Agent Workflow

This skill is designed to be called by an AI agent as part of a prospecting workflow:

Step 1: Find Events

> "Search Luma for AI and SaaS events in San Francisco"

python3 scripts/scrape_event.py --search "AI San Francisco" --events-only

Step 2: Extract Guest Profiles

> "Get all guest profiles from those events"

python3 scripts/scrape_event.py --search "AI San Francisco" --output guests.csv

Step 3: Qualify Against ICP

Ask the agent to filter the CSV:

> "From these guests, find founders/VPs at B2B SaaS companies, 20-200 employees"

Step 4: Enrich

For qualified leads:

• Look up LinkedIn profiles for role/company details
• Research their companies
• Check for overlapping signals (hiring? recently funded?)

Step 5: Generate Outreach

> "Draft connection requests for qualified guests. I'll be at [event]. We sell [product] at [price]. Keep it casual."

Data Access Realities

| Data | Direct Scrape (free) | Apify Search (paid) | |------|---------------------|---------------------| | Event metadata | Yes | Yes | | Hosts/organizers | Yes | Yes | | Featured guests (public RSVPs) | Sometimes | Yes | | Full attendee list | No (requires auth) | Partial (public profiles only) | | Guest LinkedIn/Twitter | Yes (if in page) | Yes | | Guest bio | Yes (if in page) | Yes | | Guest email | No | No |

**Note:** Luma events have a `show_guest_list` setting. When disabled, guest profiles aren't publicly accessible. The Apify scraper can still get `featured_guests` for events that have them.

Example Prompts

**Quick search:** > "Find AI events in SF this month and get me guest profiles"

**Targeted:** > "Search Luma for 'SaaS growth' events. Export all guest profiles to CSV. Then qualify against our ICP: VP+ at B2B SaaS, 50-500 employees."

**Full workflow:** > "Search Luma for AI and developer events in SF. Get all guest profiles. For each person with a LinkedIn, check if they match our ICP (founders/VPs at B2B SaaS, 20-200 employees, Series A-C). Draft pre-event connection requests for the ones I'll see at [event name]. We sell GTM engineering at $10K/month. Output qualified leads to CSV."