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URL: https://apify.com/10emmmm/universal-event-intelligence-ts

⇱ City Scout - Event Intelligence API Β· Apify


πŸ‘ City Scout πŸ”­ - Multi-Platform Event Finder avatar

City Scout πŸ”­ - Multi-Platform Event Finder

Pricing

$0.00005 / actor start

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City Scout πŸ”­ - Multi-Platform Event Finder

Your personal event radar for tech meetups, parties, and workshops. Scrapes Luma, Posh, and Eventbrite simultaneously and returns AI-ready, normalized data.

Pricing

$0.00005 / actor start

Rating

0.0

(0)

Developer

πŸ‘ AJ4N3NZ0

AJ4N3NZ0

Maintained by Community

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Monthly active users

6 months ago

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City Scout πŸ”­ - Universal Event Intelligence

Your personal event radar for tech meetups, parties, and workshops

Stop tab-hopping. Get events from Luma, Posh, and Eventbrite in one queryβ€”clean, fast, and AI-ready.


✨ What You Get

This Actor aggregates events from three popular platforms and returns standardized, structured data perfect for:

  • πŸ€– AI training datasets
  • πŸ“Š Market research & analytics
  • πŸ“± Building event discovery apps
  • πŸ” Personalized event recommendations

Platforms Scraped

  • Luma (lu.ma) - Tech community events
  • Posh (posh.vip) - Parties, mixers, social events
  • Eventbrite (eventbrite.com) - General event marketplace

πŸš€ How It Works

  1. Enter your search terms (e.g., "Tech Networking", "Startup Pitch")
  2. Specify a location (e.g., "San Francisco", "New York")
  3. Set max results (1-100 per platform)
  4. Get clean JSON with normalized event data

⚑ Concurrent Scraping

All three platforms are scraped simultaneously using Promise.all, so you get results 3x faster.


πŸ“₯ Input

{
"queries":["Tech Networking","AI Meetup"],
"location":"San Francisco",
"maxResults":20
}
FieldTypeDescriptionDefault
queriesstring[]Keywords to search (e.g., "Rust Meetup")Required
locationstringCity or region to searchRequired
maxResultsnumberMax events per platform (1-100)20

πŸ“€ Output

Each event includes:

{
"id":"abc123",
"title":"AI & Machine Learning Mixer",
"startIso":"2026-01-15T19:00:00Z",
"endIso":"2026-01-15T22:00:00Z",
"locationName":"The Battery SF",
"address":"717 Battery St, San Francisco, CA 94111",
"url":"https://lu.ma/ai-ml-mixer",
"platform":"luma",
"imageUrl":"https://cdn.lu.ma/event-image.jpg"
}

Output Fields

FieldTypeDescription
idstringUnique event identifier
titlestringEvent name
startIsostringStart time (ISO 8601)
endIsostring?End time (ISO 8601, if available)
locationNamestringVenue or location name
addressstring?Full address (if available)
urlstringEvent page URL
platformstringSource platform (luma, posh, eventbrite)
imageUrlstring?Event image/flyer URL

πŸ’‘ Use Cases

For Developers

  • Build a personalized event discovery app
  • Create automated event newsletters
  • Train LLMs on event data

For Marketers

  • Competitive analysis of events in your city
  • Track industry event trends
  • Find sponsorship opportunities

For Community Builders

  • Discover where your audience hangs out
  • Find partner events to cross-promote
  • Monitor local event landscape

πŸ”§ Development

Built with:

  • Apify SDK - Actor framework
  • Crawlee - Web scraping library
  • got-scraping - HTTP client with stealth
  • TypeScript - Type-safe development

Local Testing

npminstall
npm run start:dev

πŸ“Š Performance

  • Speed: ~10-15 seconds for 60 events (20 per platform)
  • Accuracy: Direct API access (no brittle HTML parsing)
  • Cost: ~$0.02 per run (Apify Free tier)

🎯 Why This Actor?

FeatureCity ScoutManual Search
Platforms3 at once1 at a time
Speed15 seconds15 minutes
FormatStructured JSONCopy-paste chaos
AI-Readyβœ… Yes❌ No

πŸ“ Notes

  • No authentication required - Public data only
  • Rate limits respected - Polite scraping
  • Fresh data - Real-time event listings

πŸ†˜ Troubleshooting

No results found?

  • Try broader search terms
  • Check that the location is recognized (use city names)
  • Some platforms may have limited events in certain areas

Events missing fields?

  • Not all events have complete data (e.g., no end time)
  • Platform differences: Luma has richer address data than Posh

πŸ“¬ Feedback

Found a bug or have a feature request? Open an issue!


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