Luma Event Attendees

Luma Event Attendees

Source people from Luma events. Direct-scrape mode is keyless (hosts + metadata); search mode (Apify) discovers events by topic+location and returns full guest profiles.

When to use

• "Get attendees/hosts/speakers from [Luma event]." / "Find [topic] events in [city]."
• Feeds event-prospecting-pipeline and get-qualified-leads-from-luma.

How to run

Direct-scrape mode (free) — a single event URL

cd ${SKILL_DIR}/scripts && npm install && npx playwright install chromium
node ${SKILL_DIR}/scripts/luma_scrape_pw.mjs \
  --event-url https://lu.ma/abc123 \
  --output ${WORKSPACE}/people.json

Renders the Luma event page, reads its embedded __NEXT_DATA__, and extracts event metadata + hosts (+ any publicly embedded guests). Hosts/metadata only — not the full registered-guest list.

Search mode (paid) — topic + location → full guest profiles

python3 ${SKILL_DIR}/scripts/luma_search.py \
  --search "AI agents San Francisco" \
  --max-events 20 \
  --output json   # json | csv

Runs the Apify Luma actor (requires APIFY_API_TOKEN) to discover events and return full guest profiles with LinkedIn/X/bio. Override the actor with APIFY_LUMA_ACTOR.

Outputs

• Direct-scrape: {event_name, event_url, event_date, mode, people: [...]}.
• Search: {mode, search, people: [...]} (or CSV).
• Each person: {name, bio, linkedin_url, x, instagram, website, company, event_date, role}. People are deduped across events; null names are skipped.

Credentials / env

• Required: none — direct-scrape mode runs keylessly via the headless browser.
• Optional: APIFY_API_TOKEN — required for search mode and full guest-profile extraction; APIFY_LUMA_ACTOR to override the actor. Without the token, only direct-scrape (hosts + metadata) is available.

Notes & edge cases

• Direct scrape yields hosts/metadata only; full registered-guest profiles need the Apify search-mode actor.
• Luma is JS-heavy — direct scraping uses the browser/proxy.
• Luma search returns events from all time periods — downstream pipelines must filter by event_date for recency.
• Handle null names (skipped) and dedup people across multiple event results (both done).