Event Scraper Pro - Multi-Platform Event Aggregator

Professional Apify Actor that aggregates upcoming events from Eventbrite, Meetup, and Lu.ma with attendee counts, organizer info, and unified data model.

Features

• 🎯 Multi-Platform Aggregation: Scrapes events from Eventbrite, Meetup, and Lu.ma in one unified Actor
• 📊 RSVP Counts: Captures publicly available RSVP numbers from Meetup and Lu.ma events
• 🏢 Organizer Intelligence: Extracts organizer profiles, follower counts, and contact information for lead generation
• 🔄 Smart Deduplication: Fuzzy matching across platforms to eliminate duplicate events
• 🏷️ Industry Classification: Map events to custom industry categories for targeted filtering
• 📅 ICS Calendar Export: Generate .ics calendar files for easy import to Google Calendar, Outlook, etc.
• 🔗 n8n Webhook Integration: Push results to n8n workflows for automated prospecting
• 💾 State Persistence: Tracks seen events across runs to avoid duplicates
• 💰 Pay-per-Event Pricing: Only pay for events ingested, not compute time

Use Cases

• Event Discovery: Find relevant events in your target cities and industries
• Lead Generation: Identify high-engagement event organizers with follower counts
• Market Research: Analyze event trends, topics, and attendance patterns
• Community Outreach: Build targeted lists for partnership and sponsorship opportunities
• Competitive Intelligence: Track competitor events and audience sizes

Data Sources

Platform	RSVP Data	Organizer Data	Data Quality
Meetup	✅ RSVP counts (always public)	Group members, profile URL	Excellent
Lu.ma	✅ Guest counts (usually public)	Host profile, event history	Excellent
Eventbrite	❌ Not available	Organizer followers, profile	Good

Input Configuration

Basic Example

{
  "queries": [
    {
      "keywords": ["tech", "startup"],
      "locations": ["San Francisco, US"],
      "dateFrom": "2026-01-01",
      "dateTo": "2026-03-01",
      "platforms": ["eventbrite", "meetup", "luma"]
    }
  ],
  "minAttendees": 20,
  "generateICS": true,
  "webhookUrl": "https://n8n.yourdomain.com/webhook/events"
}

Note on minAttendees: This filter uses rsvpCount as the metric. Only Meetup and Lu.ma provide RSVP counts, so Eventbrite events will be included regardless of this setting.

Advanced Example with Industry Mapping

{
  "queries": [
    {
      "keywords": ["devops", "kubernetes", "docker"],
      "locations": ["San Francisco, US", "New York, US"],
      "dateFrom": "2026-01-01",
      "dateTo": "2026-04-01",
      "platforms": ["meetup", "luma"],
      "onlineOnly": false
    }
  ],
  "minAttendees": 50,
  "includeFree": true,
  "includePaid": true,
  "industryMapping": {
    "DevOps": ["devops", "kubernetes", "docker", "ci/cd"],
    "Cloud": ["aws", "azure", "gcp", "cloud native"]
  },
  "fuzzyTitleThreshold": 0.82,
  "timeWindowMinutes": 90,
  "distanceMeters": 800,
  "webhookUrl": "https://n8n.yourdomain.com/webhook/tech-events",
  "webhookHeaders": {
    "Authorization": "Bearer YOUR_TOKEN"
  },
  "generateICS": true,
  "maxItemsPerPlatform": 1000
}

Input Parameters

Parameter	Type	Required	Default	Description
queries	array	✅ Yes	-	Array of search queries with keywords, locations, dates, and platforms
minAttendees	number	No	0	Minimum RSVP count to include events (0 = all, only applies to Meetup/Lu.ma)
includeFree	boolean	No	true	Include free events in results
includePaid	boolean	No	true	Include paid/ticketed events
maxItemsPerPlatform	number	No	1000	Max events per platform (controls cost/duration)
useApifyProxy	boolean	No	true	Enable Apify proxy for scraping
proxyGroups	array	No	["DATACENTER"]	Proxy groups to use (DATACENTER works well)
fuzzyTitleThreshold	number	No	0.82	Similarity threshold for deduplication (0-1)
timeWindowMinutes	number	No	90	Time delta for fuzzy matching (minutes)
distanceMeters	number	No	800	Geo distance threshold for deduplication
industryMapping	object	No	-	Map event topics to custom industry categories
webhookUrl	string	No	-	POST results to this webhook (n8n integration)
webhookHeaders	object	No	-	Custom headers for webhook requests
generateICS	boolean	No	true	Generate .ics calendar file
storeRawData	boolean	No	false	Include raw platform JSON (debugging)
maxConcurrency	number	No	10	Max concurrent requests
dryRun	boolean	No	false	Test mode (no save/webhooks)

Output Schema

Each event record includes:

{
  "id": "01HQZX9K3P2VQWE8RTGBNM4567",
  "canonicalKey": "abc123def456",
  "platform": "meetup",
  "event": {
    "title": "AI & Machine Learning Meetup",
    "descriptionHtml": "...",
    "topics": ["ai", "machine-learning", "deep-learning"],
    "category": "AI",
    "startsAt": "2025-11-15T18:00:00.000Z",
    "endsAt": "2025-11-15T21:00:00.000Z",
    "timezone": "Europe/Berlin",
    "isOnline": false,
    "recurrence": null
  },
  "venueName": "Tech Hub Berlin",
  "address": "Hauptstraße 123",
  "city": "Berlin",
  "country": "DE",
  "latitude": 52.5200,
  "longitude": 13.4050,
  "currency": "EUR",
  "priceMin": 0,
  "priceMax": 0,
  "ticketStatus": "free",
  "rsvpCount": 85,
  "capacity": 100,
  "organizerName": "Berlin AI Community",
  "organizerUrl": "https://www.meetup.com/berlin-ai",
  "organizerFollowers": 3500,
  "coverImageUrl": "https://...",
  "eventUrl": "https://www.meetup.com/...",
  "ticketUrl": null,
  "discoveredAt": "2025-10-02T12:00:00.000Z"
}

Location Fields Explained:

• city: City name, or "Online" for virtual events
• country: ISO country code (e.g., "DE", "US", "GB"), or null for online events
• latitude/longitude: Geographic coordinates (null for online events or when unavailable)

This structure makes it easy to filter events by location while clearly distinguishing online vs. physical events.

Output Formats

1. Dataset: Normalized JSON records in Apify dataset
2. ICS Calendar: Saved to Key-Value Store as calendar.ics
3. Webhook: POST to your n8n workflow with stats and first 100 events

Deduplication Strategy

Events are deduplicated using multi-factor fuzzy matching:

1. Canonical Key: Hash of (normalized title + start time UTC + normalized city)
2. Fuzzy Title Matching: Jaro-Winkler similarity ≥ 82% (configurable)
3. Time Window: Events within 90 minutes of each other (configurable)
4. Geo Distance: Events within 800 meters (configurable)

RSVP Count Availability

Platform	Availability	Field Used
Meetup	✅ Always public	rsvpCount
Lu.ma	✅ Usually public	rsvpCount (guest_count)
Eventbrite	❌ Not available	rsvpCount (always null)

Note: For Eventbrite events, consider using organizerFollowers as an alternative audience signal when available.

n8n Integration

Webhook Payload Structure

{
  "runId": "abc123",
  "datasetId": "xyz789",
  "stats": {
    "total": 150,
    "byPlatform": {
      "meetup": 80,
      "luma": 45,
      "eventbrite": 25
    },
    "avgAttendees": 65,
    "dedupedCount": 12
  },
  "events": [ /* first 100 events */ ]
}

Example n8n Workflow

1. [Webhook] POST /webhook/apify-events
2. [HTTP Request] GET Apify dataset (all events)
3. [Function] Filter by industry categories
4. [Function] Map to prospect list (company, url, city, audience)
5. [Deduplicate] By company+city hash
6. [Branch A] → Google Sheets / Airtable
7. [Branch B] → CRM API / Email campaign
8. [Slack] Notification with run stats

Pricing

This Actor uses pay-per-event pricing:

• Event Name: event-ingested
• Price: ~$0.01 per event (configure in Apify Console)
• No platform fees if published before March 31, 2025 (0% commission for 6 months)

Cost Examples

Scenario	Events	Estimated Cost
Small run (2 cities, 1 keyword, 30 days)	~100-300	$1-3
Medium run (5 cities, 3 keywords, 60 days)	~500-1000	$5-10
Large run (10 cities, 5 keywords, 90 days)	~2000-5000	$20-50

Platform-Specific Notes

Meetup

• Data Source: __NEXT_DATA__ JSON in page HTML
• RSVP Counts: Always publicly visible (yes_rsvp_count)
• Best For: Community events, tech meetups, networking
• Proxy: Datacenter proxy works fine

Lu.ma

• Data Source: API endpoint /discover/get-events
• Guest Counts: Usually publicly visible (guest_count)
• Best For: Creator events, workshops, online events
• Proxy: Datacenter proxy works fine

Eventbrite

• Data Source: JSON-LD structured data + search results
• Attendee Counts: Rarely visible on public pages
• Organizer Followers: Often visible (use as audience signal)
• Best For: Professional conferences, large events, ticketed events
• Proxy: Datacenter proxy works fine

Development & Testing

Local Testing

# Install dependencies
npm install

# Build TypeScript
npm run build

# Test with pay-per-event simulation
npm run test:ppe

# Regular dev run
npm run dev

Pay-Per-Event Testing

ACTOR_TEST_PAY_PER_EVENT=true \
ACTOR_USE_CHARGING_LOG_DATASET=true \
npm run dev

Check the charging-log dataset to see all billing events triggered.

Limitations

• LinkedIn Events: Not included (requires residential proxy + complex anti-bot handling)
• Eventbrite Attendee Counts: Rarely public on event pages
• Rate Limits: Respects platform rate limits with automatic backoff
• Geo Accuracy: Depends on platform-provided coordinates
• Historical Events: Only finds future events (past events not scraped)

Error Handling

The Actor implements robust error handling:

• 3 retries with exponential backoff per request
• Platform-level circuit breakers (fail-fast if >10% error rate)
• Graceful degradation (continues with other platforms if one fails)
• Error logging with sample HTML snapshots for debugging

Performance

Typical run times (with default concurrency):

• 2 cities, 2 keywords, 60 days, 3 platforms: 5-10 minutes
• 5 cities, 3 keywords, 60 days, 3 platforms: 10-15 minutes
• 10 cities, 5 keywords, 90 days, 3 platforms: 20-30 minutes

Memory usage: < 200 MB Concurrency: 10 concurrent requests (configurable)

Roadmap

• V1.1: Geocoding normalization (Google Maps API for missing coordinates)
• V1.2: ML-based classification (fastText/TF-Lite for smarter categorization)
• V1.3: Language filtering & i18n date parsing
• V2.0: City geo-radius search (Haversine distance queries)

Support & Issues

• Email: kontakt@barrierefix.de
• GitHub Issues: Report bugs or feature requests

License

MIT License - see LICENSE file for details

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