We extract destination profiles, airport guides, event calendars, and ski resort metrics from WorldTravelGuide. Delivered as clean JSON, CSV, or Parquet.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Destination Guides objects from worldtravelguide.net. All fields typed and schema-versioned.
"country": "Japan", "city": "Tokyo", "currency": "Japanese Yen (JPY)", "language": "Japanese", "best_time_to_visit": "March to May and September to November", "electricity": "100 Volts AC, 50Hz or 60Hz"
| # | url | continent | country | city | title | climate_overview |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Airport Guides objects from worldtravelguide.net. All fields typed and schema-versioned.
"iata_code": "LHR", "airport_name": "London Heathrow Airport", "terminals_count": 4, "public_transport": "Heathrow Express, London Underground Piccadilly Line", "parking_facilities": "Short stay, long stay, business, and valet parking available", "lounges": "Multiple airline and independent lounges across all terminals"
| # | iata_code | airport_name | location_desc | terminals_count | public_transport | taxi_options |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Global Events objects from worldtravelguide.net. All fields typed and schema-versioned.
"event_name": "Oktoberfest", "location": "Munich, Germany", "start_date": "2026-09-19", "end_date": "2026-10-04", "category": "Festival", "venue": "Theresienwiese"
| # | event_name | location | start_date | end_date | category | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ski Resorts objects from worldtravelguide.net. All fields typed and schema-versioned.
"resort_name": "Chamonix", "country": "France", "altitude_m": 1035, "piste_length_km": 150, "lifts_count": 49, "season_start": "December", "season_end": "May"
| # | resort_name | country | altitude_m | piste_length_km | lifts_count | season_start |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Visa & Passport objects from worldtravelguide.net. All fields typed and schema-versioned.
"destination_country": "Australia", "passport_required": true, "visa_required": true, "validity_months": 6, "return_ticket_required": true, "transit_visas": "Required if transit exceeds 8 hours"
| # | destination_country | passport_required | visa_required | return_ticket_required | validity_months | entry_notes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipeline captures deeply nested travel content: from high-level country profiles down to specific airport terminal facilities and visa requirements.
Extract country and city guides, including geography, history, and climate data.
Parse terminal layouts, transit options, and facility lists for global airports.
Capture structured visa requirements, passport validity rules, and transit regulations.
Extract dates, venues, and descriptions for global festivals and public holidays.
Compile altitude, piste lengths, lift counts, and season dates for winter destinations.
Extract terminal facilities, onward travel options, and local attractions for cruise stops.
Parse average temperatures, rainfall, and seasonal advice into structured time-series data.
Map cities to regions, countries, and continents maintaining strict relational schemas.
Track editorial updates to entry requirements or event dates and push only the changed fields.
Brief in. Clean data out.
Select target categories: airports, destinations, events, or specific geographic regions.
We configure crawlers, map the unstructured editorial content to standard schemas, and set extraction rules.
Schema validation, null-rate checks, and text normalisation tests before full launch.
JSON, CSV, or Parquet pushed to your designated storage sink on an agreed schedule.
Travel guide data is heavily unstructured text. We parse, clean, and normalise this content into queryable database fields.
Mapping nested geographic locations to a flat, queryable database schema.
Converting unstructured editorial paragraphs into distinct, typed data fields.
Respecting origin server capacity while maintaining high extraction throughput.
Using fallback selectors to handle inconsistent HTML layouts across older articles.
Monitoring for null-rate spikes when editorial formats change.
Online travel agencies populate their booking flows with destination context and airport guides.
LLM developers use structured travel guides to ground their trip planning models.
Airlines integrate airport facility data and terminal transit guides into passenger apps.
Risk models ingest climate data, geography, and local healthcare advisories.
B2B platforms provide agents with up-to-date visa and entry requirement databases.
Tourism researchers track global event distribution and destination marketing trends.
"WorldTravelGuide contains decades of editorial travel intelligence, but reading articles doesn't scale. You need structured database rows."
Extracting destination intelligence requires parsing deeply nested editorial content, standardising inconsistent formatting, and mapping geographic hierarchies. DataFlirt handles the extraction and normalisation layers so your engineering team receives clean, warehouse-ready records.
Everything supported by our worldtravelguide.net 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 the bulk crawl orchestration, while Playwright renders interactive maps and dynamic content.
We route requests through distributed proxy pools to maintain steady throughput without triggering server-side blocking.
Pipelines run on Kubernetes clusters. Airflow manages scheduling, and all metrics report to Grafana.
Data delivered to where your team already works — no new tooling required.
About worldtravelguide.net scraping, legality, and pipeline operations.
Ask us directly →Public data extraction is generally permissible. We target non-authenticated editorial content and do not access gated partner portals.
We use custom parsing logic to extract structured entities from editorial paragraphs, converting text into typed fields.
We extract all currently published events. Historical data depends on the site's archive availability at the time of the crawl.
We typically run weekly or monthly diffs for editorial content, as it changes less frequently than pricing data.
We extract high-resolution image URLs and can optionally download the assets to your S3 bucket.
We start at full-site extractions or specific vertical categories, such as all airports or all ski resorts.
20-minute scoping call. Pilot dataset within the week. Production within two. Tell us which destination guides, airport facilities, or event categories you need. We configure the schema and deliver the data.
