We extract event schedules, accommodation listings, dining directories, and regional itineraries from ilovenewyork.com. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Events & Festivals objects from ilovenewyork.com. All fields typed and schema-versioned.
"event_id": "EVT-84921", "title": "Adirondack Balloon Festival", "region": "Adirondacks", "city": "Queensbury", "start_date": "2026-09-17T00:00:00Z", "venue_name": "Floyd Bennett Memorial Airport", "admission_price": "Free"
| # | event_id | title | region | city | start_date | end_date |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Accommodations objects from ilovenewyork.com. All fields typed and schema-versioned.
"listing_id": "ACC-39201", "name": "Mirror Lake Inn Resort", "type": "Hotel/Resort", "region": "Adirondacks", "city": "Lake Placid", "amenities": "['Pool', 'Spa', 'Dining']", "pet_friendly": false
| # | listing_id | name | type | region | city | address |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Attractions objects from ilovenewyork.com. All fields typed and schema-versioned.
"attraction_id": "ATT-10482", "name": "Corning Museum of Glass", "category": "Museum", "region": "Finger Lakes", "city": "Corning", "operating_hours": "9:00 AM - 5:00 PM", "tags": "['Indoor', 'Family Friendly', 'Arts']"
| # | attraction_id | name | category | region | city | address |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Dining objects from ilovenewyork.com. All fields typed and schema-versioned.
"restaurant_id": "DIN-59210", "name": "Dinosaur Bar-B-Que", "cuisine": "American/BBQ", "region": "Finger Lakes", "city": "Syracuse", "price_tier": "$$", "coordinates": "43.0514,-76.1542"
| # | restaurant_id | name | cuisine | region | city | address |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Itineraries objects from ilovenewyork.com. All fields typed and schema-versioned.
"itinerary_id": "ITN-4021", "title": "Hudson Valley Wine Trail", "duration_days": 3, "region": "Hudson Valley", "theme": "Food & Drink", "stops_count": 8, "best_season": "Fall"
| # | itinerary_id | title | duration_days | region | theme | stops_count |
|---|---|---|---|---|---|---|
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Our scraper handles dynamic maps, seasonal layout shifts, and pagination across all 11 vacation regions to deliver structured data.
Title, dates, venues, and descriptions across all 11 vacation regions, captured months in advance.
Hotels, motels, bed and breakfasts, and campgrounds extracted with full amenity flags and ADA accessibility data.
Operating hours, admission tiers, category tags, and exact geospatial coordinates for thousands of venues.
Cuisine types, price tiers, contact information, and direct reservation links normalised per region.
Multi-day travel plans broken down by sequential stops, duration, and thematic categories.
Ski reports, fall foliage trackers, and summer beach status scraped as the site rotates seasonal content.
Extracting exact latitude and longitude from embedded map widgets for spatial analysis.
Capturing wheelchair accessibility and specific accommodation features for inclusive travel planning.
Outbound URLs to third-party ticketing platforms like Eventbrite or Ticketmaster captured directly.
Run weekly updates for upcoming events or seasonal shifts, delivering only the changed records.
Brief in. Clean data out.
Provide target regions, event categories, or attraction types. We design the extraction schema together.
We configure Scrapy crawlers, handle map API interception, and manage sessions for ilovenewyork.com.
Schema validation, coordinate checks, and null-rate monitoring before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
ilovenewyork.com relies heavily on embedded maps and seasonal layout changes. We handle the complexity so you get clean data.
Instead of scraping visual map elements, we intercept backend XHR requests and API calls used by embedded maps to extract clean GeoJSON and exact coordinates directly.
ilovenewyork.com alters its DOM structure for winter ski reports versus summer beach guides. Our fallback chains handle layout drift without breaking the pipeline.
We navigate complex AJAX-based calendar widgets to extract events months in advance, ensuring no dates are missed across the 11 vacation regions.
We execute full browser sessions to load embedded ticketing and booking iframes from external providers, capturing the underlying outbound URLs.
We maintain a hash index of event dates and venue hours to only push updates when schedules or admission prices change, reducing downstream processing.
OTAs and travel apps ingest NY State data to enrich their own regional guides and event listings.
Urban planners and real estate analysts map attraction density against infrastructure developments.
Secondary ticketing markets monitor upcoming regional events to forecast demand and supply.
Hotel operators track regional accommodation supply, amenity trends, and seasonal openings.
Researchers correlate event frequency and attraction density with regional tax revenue data.
LLM developers use structured itinerary and attraction data to train contextual travel recommendation engines.
"New York State's official tourism data dictates regional travel patterns, but extracting it requires navigating dynamic maps and seasonal DOM shifts."
Most teams underestimate the complexity of scraping tourism boards: dynamic event calendars, embedded map widgets, and seasonal layout changes break fragile scrapers constantly. DataFlirt absorbs that maintenance burden so your analysts can focus on mapping travel trends, not fixing CSS selectors.
Everything supported by our ilovenewyork.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration while Playwright manages JavaScript rendering and dynamic event calendar hydration.
Intercepts map API payloads to extract exact coordinates and region polygons without parsing visual DOM elements.
Pipelines run on AWS Lambda and ECS with Airflow scheduling for daily event updates and seasonal content changes.
Data delivered to where your team already works — no new tooling required.
About ilovenewyork.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available tourism and event data is generally permissible. DataFlirt targets only public directories and calendars, avoiding any authenticated partner portals.
We intercept backend XHR requests and API calls used by the embedded maps, extracting clean GeoJSON and coordinate data directly rather than parsing the visual DOM.
Yes. We can configure pipelines to target specific vacation regions like the Catskills, Finger Lakes, or Long Island, extracting only relevant attractions and events.
ilovenewyork.com changes its layout for fall foliage, winter skiing, and summer activities. Our selectors use multi-layer fallback chains to ensure schema stability across seasonal redesigns.
Yes. We extract the outbound URLs for event ticketing and accommodation booking, even when loaded via JavaScript widgets.
We typically run event pipelines on a daily or weekly schedule, pushing new events and flagging cancelled or rescheduled ones using hash-based change detection.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off dump of all state attractions or a continuous feed of regional events, we scope, build, and operate the pipeline. Tell us what you need.
