We extract event schedules, venue details, ticket tiers, and organiser profiles from Brown Paper Tickets. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 Listings objects from brownpapertickets.com. All fields typed and schema-versioned.
"event_id": "629104", "title": "Summer Jazz Festival 2026", "category": "Music", "start_date": "2026-07-14T18:00:00", "status": "Active", "page_url": "https://www.brownpapertickets.com/event/629104"
| # | event_id | title | description | category | start_date | end_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Ticket Tiers objects from brownpapertickets.com. All fields typed and schema-versioned.
"event_id": "629104", "tier_name": "General Admission", "price": 25.0, "currency": "USD", "fee_amount": 2.5, "availability": "Available", "total_price": 27.5
| # | event_id | tier_name | price | currency | fee_amount | total_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Venue Data objects from brownpapertickets.com. All fields typed and schema-versioned.
"name": "The Blue Room Theatre", "city": "Seattle", "state": "WA", "zip_code": "98101", "country": "US", "latitude": 47.6062, "longitude": -122.3321
| # | venue_id | name | address_line_1 | address_line_2 | city | state |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Organiser Profiles objects from brownpapertickets.com. All fields typed and schema-versioned.
"organiser_id": "ORG-8832", "name": "Seattle Jazz Collective", "total_events": 42, "active_events": 3, "website_url": "https://seattlejazz.org", "contact_email": "info@seattlejazz.org"
| # | organiser_id | name | contact_email | contact_phone | website_url | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Search Results objects from brownpapertickets.com. All fields typed and schema-versioned.
"keyword": "comedy", "location": "Chicago, IL", "position": 1, "event_id": "710293", "title": "Improv Night at the Lounge", "price_range": "$10 - $20", "scraped_at": "2026-05-12T10:00:00Z"
| # | keyword | location | date_filter | position | event_id | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our scraper handles legacy DOM structures, deep search pagination, and unstructured venue data — delivering clean, normalised event records.
Title, description, dates, times, and category tags scraped for every active event.
Capture base price, service fees, total cost, and availability status across all ticket tiers.
Extract structured address fields and map coordinates for spatial analysis of event density.
Track event creators, their historical event volume, and contact information.
Track sold-out status and ticket tier depletion over time to estimate demand.
Resilient selectors designed to handle Brown Paper Tickets' older HTML structures and table layouts.
Deep crawl across location, date, and category search filters to ensure total catalogue coverage.
Continuous monitoring of new event publications within specified regions or categories.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide target cities, categories, or organiser IDs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and legacy DOM parsers for brownpapertickets.com.
Schema validation, null-rate checks, and location parsing verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or via Webhook on agreed cadence.
Extracting data from legacy event platforms requires resilient parsers and aggressive pagination handling. Here is how we maintain pipeline stability.
Brown Paper Tickets uses older DOM structures. Our parsers normalise these layouts into clean JSON without breaking on malformed tags or nested tables.
Event discovery requires traversing deep search result pages. We use stateful crawlers to track position and ensure total catalogue extraction.
Venue addresses are often unstructured. We parse and normalise address strings into standard city, state, and postal code fields.
We maintain a hash index of event statuses. Subsequent runs only push diffs, alerting you exactly when an event sells out or changes pricing.
We route requests through residential ISP proxies to avoid rate limits and IP bans during high-frequency regional crawls.
Media outlets and city guides ingest BPT listings to populate local event calendars automatically.
Analysts track event volume, average ticket prices, and category trends across different geographic markets.
Competing ticketing platforms monitor BPT's market share, event acquisition, and fee structures.
Hospitality and transport sectors use event schedules to predict local footfall and demand surges.
B2B service providers target event organisers for catering, security, and production services.
Hedge funds track ticketing volume and event frequency as indicators of local economic activity.
"Community events and local theatre represent a massive, fragmented dataset. Brown Paper Tickets holds this data, but it requires parsing legacy systems to extract it."
Most teams underestimate the complexity of scraping older web platforms. Inconsistent HTML, table-based layouts, and unstructured venue data create constant parser failures. DataFlirt handles the normalisation and proxy rotation, delivering clean, structured event records so your engineers can focus on product development.
Everything supported by our brownpapertickets.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.
Custom Scrapy pipelines designed to handle malformed HTML and table-based layouts typical of older web platforms, normalising output into strict schemas.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions where required, preventing rate limits.
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 brownpapertickets.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available event data is generally permissible under applicable law. DataFlirt targets only public, non-authenticated event listings, venue details, and pricing. We do not extract PII of ticket buyers or circumvent authentication walls.
Our pipelines use custom parsing logic and external geocoding APIs to normalise raw address strings into structured fields (street, city, state, postal code, coordinates).
Yes. By configuring daily or hourly pipeline runs, we capture ticket availability status. Our change detection system can emit a webhook the moment a ticket tier transitions to sold out.
We can extract past events that are still accessible via public URLs or search indices. However, comprehensive historical data depends on what Brown Paper Tickets keeps publicly visible.
Pipeline frequency is configurable. We run daily sweeps for standard event aggregation, but can configure sub-hourly runs for high-priority ticket tracking.
Our smallest packages start at tracking specific geographic regions or categories with weekly delivery. Contact us with your target scope for a custom quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full catalogue sweep of US events or continuous monitoring of specific local theatres — we build and operate the infrastructure. Tell us your requirements.
