We extract destination guides, local itineraries, event schedules, and accredited accommodation data from VisitPhilippines. 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 visitphilippines.com. All fields typed and schema-versioned.
"destination_id": "DEST_4921", "name": "Chocolate Hills", "region": "Central Visayas", "province": "Bohol", "best_time_to_visit": "December to May", "latitude": 9.8298, "longitude": 124.1654, "popularity_score": 9.4
| # | destination_id | name | region | province | description | best_time_to_visit |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Tour Packages objects from visitphilippines.com. All fields typed and schema-versioned.
"package_id": "PKG_8832", "title": "Palawan Island Hopping Tour A", "operator_name": "El Nido Local Tours", "duration_days": 1, "price_php": 1200.0, "inclusions": "['Boat transfer', 'Lunch', 'Guide fee']", "booking_url": "https://visitphilippines.com/tours/elnido-a"
| # | package_id | title | operator_name | duration_days | price_php | inclusions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Accommodations objects from visitphilippines.com. All fields typed and schema-versioned.
"property_id": "ACC_1094", "name": "Shangri-La Boracay", "property_type": "Resort", "region": "Western Visayas", "dot_accreditation_number": "DOT-R06-RES-00123", "star_rating": 5, "contact_number": "+63 36 288 4988"
| # | property_id | name | property_type | region | address | dot_accreditation_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Events & Festivals objects from visitphilippines.com. All fields typed and schema-versioned.
"event_id": "EVT_055", "name": "Sinulog Festival", "location": "Cebu City", "start_date": "2026-01-18", "end_date": "2026-01-18", "event_type": "Cultural Festival", "ticket_info": "Free public access"
| # | event_id | name | location | start_date | end_date | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Travel Advisories objects from visitphilippines.com. All fields typed and schema-versioned.
"advisory_id": "ADV_2026_04", "region": "Batanes", "date_issued": "2026-07-12", "severity": "High", "title": "Typhoon Warning Signal No. 2", "active_status": true, "source_department": "PAGASA"
| # | advisory_id | region | date_issued | severity | title | content |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our VisitPhilippines scraper navigates complex regional structures, dynamic map interfaces, and unstructured text to deliver clean, relational data for the travel sector.
Extract every registered tourist spot, complete with geographical coordinates, regional categorisation, and best-time-to-visit metadata.
Parse pricing, inclusions, exclusions, and operator details from local tour listings across all 17 regions.
Capture official Department of Tourism accreditation numbers for hotels and resorts to verify compliance and operational status.
Monitor regional festivals, cultural events, and public holidays with exact dates, locations, and organiser contact details.
Track weather warnings, regional closures, and health advisories published on the official platform.
Convert unstructured text itineraries from suggested travel guides into structured day-by-day JSON arrays.
Extract high-resolution image URLs for destinations and accommodations, preserving alt-text and caption metadata.
Capture local transit recommendations, ferry schedules, and flight routes listed on destination pages.
Run continuous pipelines at weekly or monthly cadences to capture new event listings and seasonal tour packages.
Brief in. Clean data out.
Select specific regions, data types, or event categories. We design the extraction schema to match your internal data models.
We configure Playwright crawlers to navigate interactive maps and handle pagination across the VisitPhilippines directory.
Schema validation, coordinate format checks, and price standardisation applied before full launch.
JSON, CSV, or Parquet pushed directly to your S3 bucket, BigQuery dataset, or Snowflake stage.
Government and official tourism websites often feature inconsistent DOM structures and heavy client-side rendering. Here is how we build resilient pipelines.
Many destination coordinates and image galleries on VisitPhilippines rely on client-side hydration. We use Playwright to execute JavaScript, ensuring no spatial data or media links are missed during extraction.
Tour inclusions and itineraries are often formatted as raw HTML text blocks. Our pipeline applies regex and NLP parsing to convert these paragraphs into clean, queryable arrays.
Regional pages often use different templates. We deploy multi-layered fallback selectors to ensure data is captured regardless of which regional tourism office published the page.
Tourism data is highly seasonal. We maintain state across pipeline runs, emitting diffs only when new festivals are added or tour prices change for the upcoming season.
We respect the infrastructure of official platforms. Our crawlers use distributed request timing and strict concurrency limits to extract data without impacting site performance.
Online travel agencies ingest accredited accommodation lists to verify local partners and expand their regional inventory.
Travel tech startups feed structured destination coordinates and tour durations into LLMs to build automated travel planners.
Consultancies analyse regional popularity scores and event density to track tourism recovery and investment hotspots.
Corporate risk platforms monitor official advisories to alert clients about weather disruptions or regional closures.
Real estate funds track the distribution of DOT-accredited properties to identify underserved tourist destinations.
Airlines and local transport operators ingest festival calendars to predict seasonal spikes in passenger volume.
"VisitPhilippines holds the definitive catalogue of the archipelago's tourism assets, but accessing it programmatically requires dedicated extraction infrastructure."
Extracting data from official tourism boards often means dealing with inconsistent DOM structures, heavy JavaScript components, and unpaginated lists. DataFlirt normalises this chaos into structured schema, absorbing the maintenance overhead so your engineering team can focus on product development.
Everything supported by our visitphilippines.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 manages orchestration and deduplication. Playwright handles JavaScript rendering for interactive maps and client-side routing.
Custom Python pipelines process raw HTML blocks, using regex and entity extraction to output clean JSON arrays for itineraries and inclusions.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management for weekly or monthly catalogue refreshes.
Data delivered to where your team already works — no new tooling required.
About visitphilippines.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We extract only publicly available civic and tourism data. We do not bypass authentication walls or extract personally identifiable information. Clients must ensure their downstream use cases comply with relevant local regulations.
We use Playwright to execute the underlying JavaScript, intercepting the network requests that populate the map data. This allows us to extract precise latitude and longitude coordinates for destinations.
Yes. We can configure the pipeline scope to target specific provinces, islands, or administrative regions, reducing processing time and data volume.
Tourism data is generally static compared to eCommerce. We typically recommend weekly or monthly runs for destinations, with daily runs configured specifically for travel advisories and event calendars.
Yes. Tour descriptions vary wildly between operators. Our extraction pipeline applies custom parsing rules to separate inclusions, exclusions, and pricing into distinct JSON fields.
Yes. We provide a sample export covering a specific region or category to validate schema structure and data completeness prior to signing a contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a complete destination database for an AI travel planner or a feed of DOT-accredited properties, we handle the extraction infrastructure. Tell us your requirements.
