We extract event schedules, hotel directories, dining guides, and venue metadata from visitlasvegas.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 Hotels & Resorts objects from visitlasvegas.com. All fields typed and schema-versioned.
"hotel_id": "LVH-8492", "name": "Bellagio Hotel & Casino", "category": "Resort", "star_rating": 5, "address": "3600 S Las Vegas Blvd, Las Vegas, NV 89109", "booking_url": "https://www.bellagio.com/book", "amenities": "['Pool', 'Casino', 'Spa']"
| # | hotel_id | name | category | star_rating | address | latitude |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Shows & Events objects from visitlasvegas.com. All fields typed and schema-versioned.
"event_id": "EVT-1938", "title": "O by Cirque du Soleil", "venue_name": "Bellagio", "category": "Production Show", "start_date": "2024-06-01", "min_price": 135.0, "age_restriction": "5+"
| # | event_id | title | venue_name | category | start_date | end_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Dining & Restaurants objects from visitlasvegas.com. All fields typed and schema-versioned.
"restaurant_id": "DIN-392", "name": "Hell's Kitchen", "cuisine_type": "American", "price_tier": "$$$", "location": "Caesars Palace", "inside_hotel": true, "reservation_url": "https://www.caesars.com/book-dining"
| # | restaurant_id | name | cuisine_type | price_tier | location | inside_hotel |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Nightlife & Clubs objects from visitlasvegas.com. All fields typed and schema-versioned.
"club_id": "NGH-102", "name": "Omnia Nightclub", "venue_type": "Nightclub", "location": "Caesars Palace", "dress_code": "Strictly enforced", "open_days": "['Tuesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']", "guest_list_available": true
| # | club_id | name | venue_type | music_genre | location | cover_charge |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Attractions objects from visitlasvegas.com. All fields typed and schema-versioned.
"attraction_id": "ATT-594", "name": "High Roller Observation Wheel", "type": "Sightseeing", "duration": "30 minutes", "location": "The LINQ Promenade", "admission_fee": 26.0, "family_friendly": true
| # | attraction_id | name | type | duration | location | admission_fee |
|---|---|---|---|---|---|---|
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Our pipeline handles every layer of the directory: hotel listings, dynamic event calendars, restaurant metadata, and venue coordinates, with JavaScript rendering and change detection built in.
Extract structured profiles for hotels, casinos, and resorts including amenities, addresses, and geo-coordinates.
Scrape show times, residencies, and one-off events with start dates, end dates, and ticketing links.
Capture cuisine types, price tiers, dress codes, and reservation URLs across thousands of Las Vegas venues.
Track operating hours, admission fees, and category tags for family-friendly or outdoor activities.
Extract latitude and longitude coordinates paired with street addresses for spatial analysis and mapping applications.
Resolve outbound affiliate and direct booking URLs for hotels, shows, and restaurants.
Parse unstructured amenity lists into clean boolean flags for pools, casinos, spas, and parking availability.
Navigate complex category pages and load-more buttons using Playwright to ensure zero data loss.
Monitor event schedules and venue closures. Only ingest records that have changed since the last pipeline run.
Brief in. Clean data out.
Provide categories, date ranges, or venue types. We design the extraction schema together.
We configure Scrapy and Playwright crawlers to navigate visitlasvegas.com directories and event calendars.
Schema validation, null-rate checks, and location accuracy verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Tourism directories rely on heavy frontend rendering and dynamic map interfaces. Here is how we extract clean data from messy interfaces.
Many venue listings and event calendars on visitlasvegas.com require JavaScript to render. We use Playwright to execute scripts, trigger lazy loading, and hydrate map widgets.
Las Vegas show schedules change frequently. Our change detection system hashes event parameters to identify rescheduled dates, cancelled residencies, and new ticket links.
Descriptions often contain hidden metadata like age restrictions or dress codes. We use regex and NLP pipelines to extract these signals into strict schema fields.
Tourism sites often alter content or block requests based on geographic origin. We route all traffic through US-based residential proxies to ensure accurate local data representation.
Booking buttons frequently use redirects or tracking parameters. We resolve these chains to provide the final direct booking or ticketing URL for your database.
Integrate comprehensive Las Vegas event schedules and venue directories into third-party booking platforms and travel apps.
Analyse venue density, category distributions, and pricing tiers across the Las Vegas Strip versus downtown locations.
Power digital concierge applications with up-to-date showtimes, restaurant operating hours, and nightlife availability.
Correlate hotel and attraction density with commercial real estate valuations and foot traffic estimates.
Hospitality groups monitor competing venue amenities, show rosters, and promotional events to optimise their own offerings.
Corporate event planners use structured venue data to shortlist locations based on capacity, amenities, and proximity to major resorts.
"Las Vegas operates on a constantly shifting schedule of residencies, pop-ups, and seasonal events. Static databases become obsolete in weeks."
Maintaining an accurate directory of Las Vegas tourism assets requires constant polling of dynamic calendars and map interfaces. DataFlirt manages the extraction, rendering, and schema normalisation so your product teams always have the latest venue and event data without managing complex web scraping infrastructure.
Everything supported by our visitlasvegas.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 and deduplication. Playwright handles JavaScript rendering for dynamic event calendars and map widgets.
US-based residential proxy pools ensure we receive the correct localised content and avoid geographic blocking common on US tourism sites.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About visitlasvegas.com scraping, legality, and pipeline operations.
Ask us directly →We extract publicly available directories including hotels, restaurants, nightlife venues, attractions, and event calendars. This includes metadata like addresses, coordinates, descriptions, and outbound booking links.
We extract the baseline 'starting at' prices listed on visitlasvegas.com. Live seat-level inventory and dynamic pricing usually require scraping the final ticketing provider, which requires a separate pipeline.
Event pipelines typically run daily or weekly to capture new announcements, schedule changes, and cancellations. We use change detection to only deliver modified records.
Yes, we capture the high-resolution image URLs provided in the venue galleries. We deliver the URLs rather than binary files to keep your database lightweight.
Our Playwright integration interacts with map elements to trigger the underlying API requests, allowing us to extract precise latitude and longitude coordinates for spatial analysis.
Extracting factual, publicly available information like addresses, operating hours, and event dates is generally permissible. We do not extract personal user data or bypass authenticated agent portals.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off directory export or a continuous feed of event schedules, we scope, build, and operate the pipeline. Tell us what you need.
