We extract event schedules, attraction metadata, tour pricing, and neighbourhood directories from visitberlin.de. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
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 visitberlin.de. All fields typed and schema-versioned.
"event_id": "EV-8921", "title": "Festival of Lights", "category": "Festival", "start_date": "2024-10-11", "venue_name": "Brandenburg Gate", "price_min": 0.0
| # | event_id | title | category | start_date | end_date | venue_name |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Attractions objects from visitberlin.de. All fields typed and schema-versioned.
"attraction_id": "AT-104", "name": "Pergamonmuseum", "type": "Museum", "district": "Mitte", "admission_fee": 19.0, "welcomecard_discount": 25.0
| # | attraction_id | name | type | district | address | latitude |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Guided Tours objects from visitberlin.de. All fields typed and schema-versioned.
"tour_id": "TR-442", "title": "Hidden Courtyards of Mitte", "provider": "Berlin Walks", "duration_minutes": 120, "price_adult": 20.0, "languages": "['English', 'German']"
| # | tour_id | title | provider | duration_minutes | languages | meeting_point |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Restaurants objects from visitberlin.de. All fields typed and schema-versioned.
"place_id": "RS-992", "name": "Katz Orange", "cuisine": "Contemporary", "district": "Mitte", "price_level": 3, "vegan_options": true
| # | place_id | name | cuisine | district | address | price_level |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Neighbourhoods objects from visitberlin.de. All fields typed and schema-versioned.
"kiez_id": "KZ-12", "name": "Kreuzberg 61", "borough": "Friedrichshain-Kreuzberg", "nearest_transit": "Mehringdamm U-Bahn", "vibe_tags": "['Alternative', 'Food', 'Nightlife']", "article_url": "https://www.visitberlin.de/en/kreuzberg-61"
| # | kiez_id | name | borough | description | highlights | nearest_transit |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our visitberlin.de scraper navigates complex event calendars, multi-language toggles, and interactive maps to extract clean tourism datasets with spatial coordinates and pricing signals.
Capture dates, venues, and recurring schedules across thousands of local events.
Extract opening hours, accessibility flags, and ticketing information for museums and monuments.
Parse embedded interactive maps to extract precise latitude and longitude coordinates.
Distinguish between standard admission rates and discounted Berlin WelcomeCard tariffs.
Extract content variants across DE, EN, FR, IT, and ES locale subdirectories.
Compile meeting points, duration, and provider links for walking and bus tours.
Categorise restaurants by cuisine type, district, and price tiers.
Capture deep links to external booking engines and partner ticketing platforms.
Track cancelled events or changed opening hours with hash-based change detection.
Extract neighbourhood descriptions, transit options, and local highlights.
Brief in. Clean data out.
Provide event categories, attraction types, or specific dates. We design the extraction schema together.
We configure Scrapy spiders and Playwright renderers to handle calendars and map widgets.
Schema checks, coordinate validation, and null-rate monitoring before full launch.
JSON or Parquet pushed to your S3 bucket or BigQuery dataset on an agreed cadence.
Tourism portals rely heavily on client-side rendering for maps and calendars. We handle the DOM complexity so you get flat, queryable records.
Event listings use heavy JavaScript for pagination and date filtering. We run full Playwright sessions to trigger lazy-loading and extract complete monthly schedules.
Location data is often hidden within map widget state. Our pipeline intercepts background API calls to extract clean coordinate pairs directly from the source JSON.
We inject strict locale cookies and headers to prevent the site from redirecting crawlers based on IP, ensuring you get the exact language content requested.
Pricing structures are complex, often split between standard rates and various WelcomeCard tiers. We normalise these nested HTML tables into flat pricing columns.
Festivals and exhibitions span multiple days. We group recurring instances under a single parent ID, preventing database bloat while preserving exact date schedules.
Syncing Berlin events and attractions into global OTA platforms to enrich destination guides.
Powering local recommendations with fresh opening hours and verified ticket links.
Analysing tourism density and event distribution by district to map cultural trends.
Predicting transit demand spikes based on large-scale events and festival schedules.
Tour operators benchmarking competitor rates and discount strategies in real time.
Mapping cultural infrastructure and accessibility across different Berlin boroughs.
"Tourism data decays rapidly. An event calendar is useless if it misses cancellations or venue changes. We treat visitberlin.de as a real-time feed, not a static directory."
Extracting reliable data from modern tourism boards requires executing JavaScript for calendar widgets and intercepting hidden API calls for map data. We manage the rendering overhead, session states, and schema normalisation so your travel application always displays accurate, up-to-date Berlin intelligence.
Everything supported by our visitberlin.de 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 orchestrates the crawl while Playwright handles JavaScript execution for interactive calendars and maps.
We monitor network traffic during rendering to capture clean JSON payloads from backend endpoints before they hit the DOM.
Pipelines run on AWS ECS with Airflow managing schedules, retries, and delta-diffing logic for continuous updates.
Data delivered to where your team already works — no new tooling required.
About visitberlin.de scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available tourism data is generally permissible. DataFlirt extracts only public event schedules, attraction metadata, and business directories. We do not extract PII or bypass authentication walls.
We can target any locale supported by visitberlin.de, including German, English, French, Italian, and Spanish. You can specify the required languages in the pipeline scope.
Yes. We intercept the GeoJSON payloads powering the interactive maps to provide precise latitude and longitude coordinates for venues and attractions.
We configure pipelines based on your needs. Event calendars are typically scraped daily or weekly, while static attraction metadata is refreshed monthly.
Yes. Our parsers distinguish between standard admission rates and discounted tariffs available to WelcomeCard holders.
Festivals and ongoing exhibitions are deduplicated. We assign a consistent parent ID to the event and provide an array of dates or a date range to prevent database bloat.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you are building a travel aggregator or analysing urban mobility patterns, we deliver clean visitberlin.de data directly to your warehouse.
