We extract concert schedules, ticket pricing, restaurant menus, and wine lists from all City Winery locations. 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 Event Calendar objects from citywinery.com. All fields typed and schema-versioned.
"event_id": "CW-NYC-8492", "venue_location": "New York City", "event_date": "2026-08-14", "start_time": "20:00", "artist_name": "Marc Cohn", "min_price": 45.0, "max_price": 85.0, "is_sold_out": false
| # | event_id | venue_location | event_date | start_time | doors_open | artist_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Wine List objects from citywinery.com. All fields typed and schema-versioned.
"wine_id": "W-4921", "name": "City Winery Reserve Pinot Noir", "type": "Red", "varietal": "Pinot Noir", "vintage": "2021", "price_glass": 18.0, "price_bottle": 72.0, "in_stock": true
| # | wine_id | name | type | varietal | region | vintage |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Restaurant Menu objects from citywinery.com. All fields typed and schema-versioned.
"item_id": "M-812", "category": "Shareables", "name": "Burrata & Heirloom Tomato", "price": 22.0, "dietary_flags": "['Vegetarian', 'Gluten-Free Option']", "venue_location": "Chicago", "available": true, "allergens": "['Dairy']"
| # | item_id | category | name | description | price | dietary_flags |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Venue Locations objects from citywinery.com. All fields typed and schema-versioned.
"location_id": "LOC-BOS", "city": "Boston", "address": "80 Beverly St, Boston, MA 02114", "capacity": 300, "private_events_available": true, "active_status": "Open", "phone": "617-933-8047"
| # | location_id | city | address | phone | capacity | hours_of_operation |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Artists & Performers objects from citywinery.com. All fields typed and schema-versioned.
"artist_id": "ART-9182", "name": "Los Lobos", "genre": "Rock / Americana", "upcoming_dates_count": 3, "tour_name": "40th Anniversary Tour", "social_links": "['instagram.com/loslobos']", "website_url": "loslobos.org"
| # | artist_id | name | bio | genre | upcoming_dates_count | image_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our City Winery scraper handles event calendars, location specific menus, and ticket availability with JavaScript rendering and session management built in.
Concert dates, times, and artist details across all venue locations synchronised daily.
Capture minimum and maximum ticket prices, VIP packages, and real time availability status.
Extract complete wine lists including vintage, varietal, tasting notes, and bottle pricing.
Track seasonal menu changes, pricing updates, and dietary metadata per location.
Data normalised across NYC, Chicago, Nashville, Atlanta, and all other venue locations.
Scrape performer bios, genres, and promotional imagery directly from event listings.
Render JavaScript based calendar widgets to extract future event schedules accurately.
Monitor ticket availability shifts and menu price adjustments with hash based diffing.
Daily or weekly pipeline runs to keep event data synchronised with your internal systems.
Brief in. Clean data out.
Provide locations, event types, or menu categories. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for citywinery.com.
Schema validation, null-rate checks, and sample event records before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting reliable schedules and menus requires handling dynamic content and location specific sessions. Here is how we manage it.
We use US based residential ISP proxies to route requests, ensuring our crawlers maintain access to location specific event data without triggering rate limits.
City Winery relies on JavaScript for event calendars and dynamic ticketing widgets. We run full Playwright browser sessions to capture data that headless HTTP clients miss entirely.
Our selector strategy uses multiple fallback chains per field. If the venue updates its website layout or ticketing provider, our pipeline adapts without breaking your data feed.
We maintain a hash index of last seen values per event. Subsequent runs only push diffs, providing a clean changelog of ticket availability rather than full re-dumps.
Every run emits structured logs. We alert on null-rate spikes and schema drift, responding before you notice any missing event data.
Ticketing and event discovery platforms syndicate concert data to keep their local listings accurate.
Hospitality groups track menu prices and VIP ticket tiers across major metropolitan markets.
Music industry analysts monitor tour dates, venue capacities, and sell out rates for performers.
Wine distributors and brands track on-premise pricing and vintage availability in major cities.
Local search providers update venue hours, addresses, and contact information automatically.
Analysts correlate event schedules with local hospitality demand to forecast hotel and transport needs.
"City Winery merges live music schedules with complex hospitality inventory. Tracking this requires a pipeline built for dynamic venue data."
Hospitality and entertainment data changes daily. Extracting reliable schedules, menu updates, and ticket availability from City Winery requires JavaScript rendering and location specific session management. DataFlirt handles the infrastructure so your engineers can focus on the data.
Everything supported by our citywinery.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 and location specific cookies.
We maintain pools of residential ISP proxies across US regions to ensure reliable access to venue data.
Pipelines run on AWS ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About citywinery.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available event schedules, menus, and ticket pricing is generally permissible. DataFlirt targets only public, non authenticated data. We do not extract personal data or circumvent authentication walls.
We use full Playwright browser sessions to render JavaScript, ensuring all future events populate correctly before extraction.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time series record of ticket prices and sell out status.
We support all active City Winery locations including New York City, Chicago, Nashville, Atlanta, Boston, Philadelphia, and St. Louis.
We configure pipelines to run at your required cadence. Daily updates are standard for event schedules, while menu updates can run weekly.
Yes. We capture all available wine details including vintage, varietal, tasting notes, and glass versus bottle pricing.
Our packages start with full site extraction delivered weekly. Contact us with your specific data requirements for a scoped quote.
Absolutely. We provide a sample run of up to 100 events or menu items as part of the scoping process.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one off menu export or a continuous event monitoring feed, we scope, build, and operate the pipeline. Tell us what you need.
