We extract event listings, ticket tiers, venue coordinates, and organiser profiles from Humanitix. 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 Listings objects from humanitix.com. All fields typed and schema-versioned.
"event_id": "evt_98x2n1", "title": "Sydney Tech Founders Meetup", "url": "https://events.humanitix.com/sydney-tech-founders", "start_date": "2026-08-14T18:00:00Z", "category": "Business & Tech", "status": "published", "format": "in_person"
| # | event_id | title | url | start_date | end_date | timezone |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ticket & Pricing objects from humanitix.com. All fields typed and schema-versioned.
"ticket_name": "General Admission", "price": 45.0, "currency": "AUD", "booking_fee": 2.5, "available": true, "sales_end": "2026-08-14T17:00:00Z"
| # | event_id | ticket_name | price | currency | booking_fee | charity_impact |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Venue & Location objects from humanitix.com. All fields typed and schema-versioned.
"venue_name": "Fishburners Sydney", "city": "Sydney", "state": "NSW", "country": "Australia", "latitude": -33.8735, "longitude": 151.2059
| # | event_id | venue_name | address_line_1 | city | state | country |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Organiser Profiles objects from humanitix.com. All fields typed and schema-versioned.
"organiser_id": "org_442pql", "name": "TechSydney", "profile_url": "https://events.humanitix.com/host/techsydney", "total_events": 24, "followers": 1840, "website": "https://techsydney.com.au"
| # | organiser_id | name | profile_url | description | total_events | followers |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Event Schedules objects from humanitix.com. All fields typed and schema-versioned.
"session_id": "sess_0912", "session_name": "Keynote: Scaling SaaS", "start_time": "2026-08-14T18:30:00Z", "end_time": "2026-08-14T19:15:00Z", "speakers": "['Jane Doe', 'John Smith']", "capacity": 150
| # | event_id | session_id | session_name | start_time | end_time | speakers |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our infrastructure maps the Humanitix catalogue. We parse complex ticketing structures, recurring event schedules, and venue coordinates while handling dynamic rendering.
Extract titles, descriptions, dates, and cover images. We parse rich text descriptions into clean, normalised string outputs.
Capture pricing, booking fees, ticket names, and availability statuses across all tiers for a given event.
Scrape organiser profiles, historical event counts, follower metrics, and external website links.
Extract physical addresses and convert embedded maps into structured latitude and longitude coordinates.
Unroll multi-date series and recurring workshops into distinct, queryable event records with specific timestamps.
Capture the specific charity donation amounts and beneficiary organisations linked to ticket sales.
Monitor ticket availability in real time to detect when events or specific tiers reach capacity.
Extract primary categories, sub-categories, and tags to classify events by industry, format, or topic.
Configure webhook alerts for newly published events matching specific keywords or organiser IDs.
Track event rankings and visibility for specific location and keyword queries on the Humanitix discovery portal.
Brief in. Clean data out.
Provide search parameters, city coordinates, or organiser URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for humanitix.com.
Schema validation, null-rate checks, price-outlier detection, and timezone verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Event platforms rely on complex state management and dynamic availability polling. We handle the heavy lifting.
Humanitix relies heavily on client-side rendering. We use Playwright to execute JavaScript, hydrate the DOM, and capture data that headless HTTP requests miss.
Ticket availability changes rapidly. Our pipelines simulate checkout initialization to accurately capture remaining ticket counts and sold-out statuses without triggering fraud systems.
Events span multiple timezones. We extract the raw local time and the venue timezone, normalising all datetime fields to ISO 8601 UTC for consistent database ingestion.
Event series are often grouped under a single URL. Our extraction logic iterates through the date picker UI to generate distinct records for every individual session.
Scraping thousands of event pages triggers rate limits. We distribute requests across residential proxy pools and randomise request intervals to maintain continuous access.
Local guides and media companies ingest Humanitix listings to populate comprehensive city event calendars.
Ticketing platforms monitor Humanitix to track market share, organiser migration, and pricing strategies.
Real estate and hospitality analysts track booking density and event frequency by venue and postcode.
B2B sales teams extract organiser profiles to prospect for catering, AV equipment, and event management services.
Analysts track ticket price elasticity and sell-out velocity to optimise pricing for future events.
Researchers aggregate booking fee donations to study the economic impact of social enterprise models.
"Humanitix hosts thousands of high-value local events and workshops, but extracting structured schedules and pricing requires dedicated infrastructure."
Event data is notoriously messy. Timezones vary, recurring schedules break standard schemas, and ticket availability changes by the minute. DataFlirt normalises this chaos into clean, queryable tables so your analysts can focus on insights rather than parsing HTML.
Everything supported by our humanitix.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 interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 humanitix.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available event information is generally permissible. DataFlirt targets only public, non-authenticated event, pricing, and organiser data. We do not extract personal data (PII) or circumvent authentication walls.
We interact with the calendar UI during extraction to unroll recurring events into distinct records, each with its own start and end timestamp.
Yes. We poll ticket tiers to capture sold-out statuses and remaining availability where exposed by the platform.
Yes. We parse the embedded location data to provide structured latitude and longitude coordinates alongside standard address fields.
We can configure pipelines to run daily for general catalogues, or sub-hourly for tracking specific high-demand event availability.
Yes. We accept input parameters like specific location radii, categories, or organiser IDs to narrow the extraction scope.
Pipelines start at defined keyword or city scopes. We price based on data volume and extraction frequency. Contact us for a precise quote.
Yes. We extract the specific booking fee and charity impact metrics associated with each ticket tier.
20-minute scoping call. Pilot dataset within the week. Production within two. Need a comprehensive feed of local events or specific organiser tracking? We build and manage the extraction. Contact our engineering team to define your schema.
