We extract official destination guides, cultural site metadata, seasonal event schedules, and curated itineraries from visitgreece.gr. 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 Destinations objects from visitgreece.gr. All fields typed and schema-versioned.
"destination_id": "DEST-0842", "name": "Santorini", "region": "Cyclades", "type": "Island", "best_time_to_visit": "May to October", "map_coordinates": "36.3932° N, 25.4615° E"
| # | destination_id | name | region | type | description | best_time_to_visit |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Experiences objects from visitgreece.gr. All fields typed and schema-versioned.
"experience_id": "EXP-9123", "title": "Samaria Gorge Hike", "category": "Outdoor & Adventure", "location": "Crete", "duration": "5-7 hours", "accessibility": "Moderate fitness required"
| # | experience_id | title | category | location | duration | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Events objects from visitgreece.gr. All fields typed and schema-versioned.
"event_id": "EVT-4412", "title": "Athens Epidaurus Festival", "start_date": "2024-06-01", "location": "Athens & Epidaurus", "event_type": "Cultural", "ticket_info": "Paid entry"
| # | event_id | title | start_date | end_date | location | municipality |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Itineraries objects from visitgreece.gr. All fields typed and schema-versioned.
"itinerary_id": "ITN-0056", "title": "Peloponnese Road Trip", "theme": "History & Nature", "total_days": 7, "total_distance": "450 km", "transport_mode": "Car"
| # | itinerary_id | title | theme | total_days | stops | total_distance |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Gastronomy objects from visitgreece.gr. All fields typed and schema-versioned.
"dish_id": "GST-3301", "name": "Moussaka", "region_of_origin": "National", "category": "Main Course", "protected_designation": false, "historical_context": "Modern version created in the 1920s"
| # | dish_id | name | region_of_origin | ingredients | category | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our visitgreece.gr scraper converts unstructured editorial content into queryable datasets, mapping destinations to coordinates and linking experiences to seasonal timelines.
Extract regions, islands, and mainland municipalities with associated metadata, historical context, and transport links.
Parse museums, archaeological sites, and monuments including opening hours, admission details, and historical significance.
Monitor local festivals, exhibitions, and seasonal events. We capture dates, locations, and ticket availability signals.
Convert narrative travel guides into structured step-by-step routes, capturing distance, duration, and transit modes.
Extract content across English, Greek, and other available language variants, maintaining parallel schema structures.
Capture embedded map coordinates and polyline data for precise GIS mapping of attractions and routes.
Structure regional food guides, wine routes, and PDO (Protected Designation of Origin) product information.
Extract high-resolution image URLs, alt text, and caption metadata associated with specific destinations and experiences.
Run scheduled diffs to identify newly added events, updated transport links, or seasonal content changes.
Brief in. Clean data out.
Provide categories, regions, or language requirements. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for visitgreece.gr.
Schema validation, null-rate checks, and coordinate normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Tourism boards present content for human readers. Here is how we convert narrative web pages into strict relational data.
Visitgreece.gr relies heavily on long-form editorial descriptions. We use custom NLP pipelines within the extraction layer to identify operating hours, transport modes, and best-time-to-visit signals buried in paragraphs.
We scrape the Greek and English versions of the site concurrently, mapping identical entities via canonical tags and URL structures to provide a unified bilingual dataset without duplication.
Embedded maps use various JavaScript libraries. We execute Playwright sessions to intercept map tile requests and extract precise latitude/longitude pairs for points of interest.
Event calendars and seasonal guides update dynamically. Our change detection system hashes individual event nodes, ensuring you only receive updates when dates or details shift.
Images are often loaded via lazy-loading scripts. We trigger scroll events to hydrate media galleries, extracting original resolution URLs and associating them directly with the parent entity.
OTAs and travel apps populate their destination databases with official metadata, descriptions, and high-quality imagery.
AI companies ingest structured multi-language tourism content to train domain-specific travel recommendation models.
Agencies monitor seasonal events and new cultural site listings to design updated tour packages and itineraries.
Travel publishers and bloggers use automated feeds of official destination data to supplement their editorial content.
Regional authorities track how their municipalities are represented on the national platform for auditing and marketing alignment.
GIS developers extract coordinates and route data to build interactive maps for niche travel applications.
"Visitgreece.gr contains the definitive baseline for Greek tourism, but transforming scattered articles into a structured geospatial dataset requires a managed approach."
Extracting official tourism data involves parsing unstructured editorial copy, resolving multi-language page variants, and normalising map coordinates. DataFlirt handles the heavy lifting so your engineering team can focus on building travel products rather than maintaining scrapers.
Everything supported by our visitgreece.gr 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 across EU regions. 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 visitgreece.gr scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from government and tourism websites is generally permissible. DataFlirt targets only public destination, event, and cultural data. We do not extract personal data or circumvent authentication walls. Clients should review local regulations and consult legal counsel for specific commercial use cases.
We run parallel extraction pipelines for the supported language variants (e.g., English and Greek). Canonical tags and URL patterns are used to map the corresponding entities, delivering a unified dataset with language-specific fields.
Yes. We execute JavaScript on pages with embedded map widgets to intercept the network requests containing latitude and longitude data, assigning these coordinates to the relevant destination or experience record.
Event calendars can be scraped on a daily or weekly schedule. Our change detection system ensures you only process net-new events or updates to existing schedules, rather than ingesting the full calendar every run.
By default, we extract the highest resolution image URLs available on the page along with associated alt-text. Direct media downloading and hosting on your S3 bucket can be configured as an additional pipeline step.
Yes. We provide a sample run covering specific regions or categories during the pre-engagement scoping process to validate schema structure and data completeness.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a complete destination dump or continuous event updates. Tell us what you need.
