Luma Leads Finder

Paste a lu.ma event URL, describe who you are and who you want to meet, and get back a ranked list of the most relevant attendees — each with an AI-generated relevance score and a personalised conversation starter.

Built for founders, sales teams, recruiters, and investors who want to make every event count.

How it works

1. Scrapes the full attendee list from the Luma event using your session cookie
2. Optionally enriches LinkedIn profiles — adds current company and richer job title data for better ranking accuracy
3. Ranks every attendee with AI (OpenRouter) using your background and goals as context, in batches of 50
4. Returns a sorted dataset — highest relevance first — with a score, a reason, and a conversation topic for each person

Input

Field	Type	Required	Description
eventUrl	string	Yes	The lu.ma event URL, e.g. https://lu.ma/my-event
lumaSessionCookie	string	Yes	Value of the luma.auth-session-key cookie (see below)
yourBackground	string	Yes	Brief bio — your role, industry, what you're working on
whoYouWantToMeet	string	Yes	Your ideal connection — role, company stage, goals
enableLinkedInEnrichment	boolean	No (default: false)	Fetch LinkedIn profile data before ranking. Improves quality but runs an additional actor.
limit	integer	No	Return only the top N leads. Omit to rank everyone.

Getting your session cookie

1. Log into lu.ma in your browser
2. Open DevTools (F12) → Application → Cookies → https://lu.ma
3. Find the cookie named luma.auth-session-key and copy its value
4. Paste it into the lumaSessionCookie field

You must also be registered (RSVP'd) for the event to access the full guest list. Without registration, only the ~10 public featured guests are returned.

Output

One dataset row per attendee, sorted by relevanceScore descending:

Field	Description
rank	Position in the ranked list (1 = most relevant)
relevanceScore	AI score from 1 (not relevant) to 10 (perfect match)
relevanceReason	Why this person matches your goals
conversationTopic	A personalised opening line for this person
name	Full name
headline	Job title or bio
company	Current company (from LinkedIn enrichment if enabled)
linkedinUrl	Full LinkedIn profile URL
twitterUrl	Full Twitter/X URL
website	Personal or company website
lumaProfileUrl	Their Luma profile page
isOrganizer	true if this person is a host of the event

Example output row

{
  "rank": 1,
  "relevanceScore": 9,
  "relevanceReason": "Sarah leads AI investments at Sequoia and is actively looking at developer tooling, directly aligned with your goal of meeting AI investors.",
  "conversationTopic": "Ask about her thesis on AI infrastructure plays — specifically whether she sees the current wave of model-layer startups as defensible long-term.",
  "name": "Sarah Chen",
  "headline": "Partner at Sequoia Capital",
  "company": "Sequoia Capital",
  "linkedinUrl": "https://www.linkedin.com/in/sarahchen",
  "isOrganizer": false
}

LinkedIn enrichment

Enabling enableLinkedInEnrichment runs the LinkedIn Profile Enrichment actor on each attendee's LinkedIn URL. This adds current company name and a richer headline before ranking, which meaningfully improves score accuracy for attendees whose Luma profiles are sparse.

It costs additional compute units and typically adds 2–5 minutes of runtime for 100–200 attendees.

Pricing note

This actor calls three sub-actors:

• martin.forejt/luma-attendees-scraper — scraping Luma (included in your Apify plan)
• anchor/linkedin-profile-enrichment — only if enableLinkedInEnrichment is enabled
• apify/openrouter — AI ranking via OpenRouter (pay-per-token; cost scales with attendee count)

For a typical event with 200 attendees and no LinkedIn enrichment, the AI ranking costs roughly $0.01–0.05 in OpenRouter tokens.