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Luma Event Attendees

Find speakers, hosts, and guest profiles at conferences and events on Luma.

by GooseWorks AI·MIT-claimed (no LICENSE file)·679 on GitHub·updated 2026-05-07
npx goose-skills install

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.

What this skill does

  1. 1Directly scrapes Luma event pages for free to extract event metadata and host profiles.
  2. 2Uses the Apify Luma scraper to retrieve featured guest profiles with name, bio, LinkedIn, Twitter, and website from public event listings.
  3. 3Exports attendee data to CSV with event context attached (event name, date, role) for immediate use in outreach.

When to use

  • Finding prospects attending or hosting AI, SaaS, or industry-specific events you plan to attend or sponsor.
  • Building a pre-event outreach list of speakers and guests to connect with before a conference.
  • Extracting attendee profiles from multiple related events to build a community-based lead list.

Tools used

Luma· MeetingsLinkedIn· SocialTwitter· SocialInstagram· SocialApify· Web Scraping

Best for

Sales Development RepAccount ExecutiveGTM Engineer

Format

Workflow

Frequently asked questions

What is Luma Event Attendees?

Luma Event Attendees is a Claude Code skill for sourcing by GooseWorks AI. Find speakers, hosts, and guest profiles at conferences and events on Luma.

When should I use Luma Event Attendees?

Finding prospects attending or hosting AI, SaaS, or industry-specific events you plan to attend or sponsor. Building a pre-event outreach list of speakers and guests to connect with before a conference.

How do I install Luma Event Attendees?

Run the install command (npx goose-skills install). Once the skill is in place, Claude Code loads it automatically whenever a task matches what it does.

Is Luma Event Attendees free to use?

The author distributes it as MIT, but the repository has no LICENSE file. The source is public on GitHub (gooseworks-ai/goose-skills).

Source repository

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