We extract event schedules, venue specifications, dining directories, and accommodation listings from Choose Chicago. 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 objects from choosechicago.com. All fields typed and schema-versioned.
"event_id": "EVT-84921", "title": "Chicago Blues Festival 2026", "category": "Music and Concerts", "start_date": "2026-06-05", "end_date": "2026-06-08", "venue_name": "Millennium Park", "price_min": 0.0, "price_max": 0.0
| # | event_id | title | category | start_date | end_date | venue_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Venues objects from choosechicago.com. All fields typed and schema-versioned.
"venue_id": "VEN-1044", "name": "McCormick Place", "type": "Convention Center", "capacity": 100000, "neighbourhood": "South Loop", "square_footage": 2600000, "meeting_rooms": 173
| # | venue_id | name | type | capacity | neighbourhood | address |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Restaurants objects from choosechicago.com. All fields typed and schema-versioned.
"restaurant_id": "DIN-3922", "name": "Alinea", "cuisine": "Contemporary", "neighbourhood": "Lincoln Park", "price_tier": "$$$$", "michelin_status": "3 Stars", "reservation_url": "https://www.exploretock.com/alinea"
| # | restaurant_id | name | cuisine | neighbourhood | address | phone |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hotels objects from choosechicago.com. All fields typed and schema-versioned.
"hotel_id": "HOT-881", "name": "The Langham, Chicago", "star_rating": 5, "neighbourhood": "River North", "total_rooms": 316, "meeting_space_sqft": 15000, "amenities": "['Spa', 'Pool', 'Fitness Center', 'Pet Friendly']"
| # | hotel_id | name | star_rating | neighbourhood | address | phone |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Neighbourhoods objects from choosechicago.com. All fields typed and schema-versioned.
"neighbourhood_id": "NBH-12", "name": "Wicker Park", "region": "West Side", "dining_count": 142, "hotel_count": 8, "transit_options": "['Blue Line', 'Bus 72', 'Bus 56']", "key_attractions": "['The 606', 'Flat Iron Arts Building']"
| # | neighbourhood_id | name | region | description | key_attractions | dining_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Choose Chicago scraper handles every layer of the platform: event calendars, venue directories, dining guides, and accommodation listings. We manage the JavaScript rendering, session state, and schema normalisation.
Extract comprehensive event schedules including dates, venues, ticket pricing, and categorisation across all Chicago districts.
Capture capacity metrics, square footage, meeting room counts, and contact details for convention centres and event spaces.
Extract restaurant names, cuisines, price tiers, Michelin statuses, and reservation links across all neighbourhoods.
Monitor hotel listings, star ratings, room counts, and available meeting space metrics for hospitality analysis.
Extract descriptive content, attraction lists, and aggregated venue counts for specific Chicago regions.
Scrape B2B planning resources, RFP contact points, and supplier directories targeting event professionals.
Monitor sightseeing operators, museum schedules, architectural tours, and ticketing information.
Extract embedded map coordinates and address data to normalise locations for GIS applications.
Run one-off bulk exports or configure continuous pipelines at weekly or daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide category URLs, event date ranges, or neighbourhood targets. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for choosechicago.com.
Schema validation, null-rate checks, and geospatial outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Tourism boards use dynamic content management systems and interactive maps. Here is how we maintain data integrity.
We use residential ISP proxies with realistic browser fingerprints and full cookie session management to prevent IP bans during extensive directory crawls.
Choose Chicago relies heavily on interactive maps and dynamic filtering for events and venues. We run full Playwright browser sessions to trigger lazy-loads and hydrate data widgets.
CMS updates frequently alter DOM structures. Our selector strategy uses multiple fallback chains per field, including CSS selectors, XPath, and JSON-LD extraction.
For ongoing event monitoring, we maintain a hash index of last-seen values. Subsequent runs only push diffs, reducing downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops.
Online travel agencies ingest event and venue data to enrich their local destination guides and improve search relevance.
Corporate planners monitor venue availability, capacity metrics, and competing city-wide events to optimise scheduling.
Hospitality analysts track restaurant openings, closures, and neighbourhood density to identify investment opportunities.
Firms correlate hotel room counts and meeting space metrics with convention schedules to forecast regional demand.
App developers build dynamic local guides using structured event calendars and dining directories.
Tour operators monitor competitor ticket prices and event packages to adjust their own market positioning.
"Choose Chicago holds the definitive schedule of events and venue specifications for the city. None of it is queryable unless you build the extraction pipeline."
Most teams underestimate the investment required to maintain custom scrapers. Reliable extraction requires residential proxies, full JavaScript rendering for dynamic maps, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our choosechicago.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and map interactions.
We maintain pools of residential ISP proxies across US regions. Rotation happens per request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About choosechicago.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Choose Chicago is generally permissible under applicable law. DataFlirt targets only public event, venue, and dining directories. We do not extract personal data or circumvent authentication walls. Clients should review site Terms of Service and consult legal counsel for specific use cases.
We use full Playwright browser sessions to interact with date pickers and pagination controls, ensuring we capture all scheduled events across the specified time horizon.
Yes. We intercept the backend API calls generated by the map widgets and parse the underlying JSON payloads to extract precise coordinates and venue identifiers.
Full catalogue refreshes at weekly cadences complete within a 2-4 hour window. For critical event monitoring, we can configure daily diff pipelines.
Our packages start at a defined extraction scope, such as the complete events calendar or the full dining directory, delivered on a scheduled basis. Contact us for a scoped quote.
Absolutely. We provide a sample run of up to 500 events or venues as part of the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off venue directory export or a continuous event monitoring feed, we scope, build, and operate the pipeline. Tell us what you need.
