We extract destination profiles, certified tour operators, event calendars, and itinerary structures from peru.travel. 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 peru.travel. All fields typed and schema-versioned.
"destination_id": "DEST-042", "name": "Machu Picchu", "region": "Cusco", "altitude": "2430m", "climate": "Subtropical", "description": "Inca citadel set high in the Andes Mountains."
| # | destination_id | name | region | altitude | climate | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Tour Operators objects from peru.travel. All fields typed and schema-versioned.
"operator_id": "OP-9912", "name": "Andean Treks Peru", "certification_status": "Verified", "phone": "+51 84 221122", "specialities": "['Trekking', 'Cultural']", "languages_spoken": "['English', 'Spanish']"
| # | operator_id | name | certification_status | contact_email | phone | website |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Complete list of extractable fields for Itineraries objects from peru.travel. All fields typed and schema-versioned.
"itinerary_id": "ITIN-88", "title": "Inca Trail Classic", "duration_days": 4, "difficulty_level": "Moderate", "route_stops": "['Cusco', 'Ollantaytambo', 'Wayllabamba', 'Machu Picchu']", "transport_modes": "['Bus', 'Foot']"
| # | itinerary_id | title | duration_days | difficulty_level | route_stops | transport_modes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Events objects from peru.travel. All fields typed and schema-versioned.
"event_id": "EVT-102", "name": "Inti Raymi", "date_start": "2026-06-24", "location": "Cusco", "category": "Cultural Festival", "entry_fee": "Varies"
| # | event_id | name | date_start | date_end | location | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Gastronomy objects from peru.travel. All fields typed and schema-versioned.
"dish_id": "FOOD-15", "name": "Ceviche", "region_of_origin": "Coastal Peru", "key_ingredients": "['Fish', 'Lime', 'Onion', 'Aji']", "dietary_tags": "['Pescatarian', 'Gluten-Free']", "where_to_eat": "['Lima', 'Piura']"
| # | dish_id | name | region_of_origin | key_ingredients | description | where_to_eat |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our pipeline handles every layer of the official tourism portal: regional data, certified operators, dynamic map rendering, and language localisation.
Extract altitude, climate data, best visit times, and regional descriptions for every listed location.
Capture contact details, certification status, and specialities for thousands of officially recognised tour agencies.
Structure complex multi-day travel plans into day-by-day JSON arrays with transport and accommodation nodes.
Monitor regional festivals, cultural events, and public holidays with exact dates and location coordinates.
Pull content across Spanish, English, Portuguese, and other supported locales via session headers.
Catalogue regional dishes, ingredient lists, and recommended dining locations across the country.
Extract latitude and longitude coordinates from embedded interactive maps for downstream GIS applications.
Collect high-resolution image URLs, promotional video links, and PDF brochure downloads for content syndication.
Run pipelines monthly or quarterly to catch new operator certifications and updated event schedules.
Brief in. Clean data out.
Select the data verticals you need: destinations, operators, events, or the full catalogue.
We configure Scrapy crawlers, handle multi-language state, and parse dynamic JavaScript elements.
Schema validation, null-rate checks, and translation consistency testing before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on the agreed cadence.
Government tourism portals rely on heavy client-side rendering and dynamic state. Here is how our infrastructure manages the load.
Peru.travel uses modern JavaScript frameworks for its maps, galleries, and operator directories. We run full Playwright browser sessions to trigger lazy loading and extract data that static HTTP requests miss.
The site serves multiple languages based on cookies and headers. Our pipeline strictly isolates sessions per language locale, ensuring you receive a unified dataset without mixed translations.
High-quality images and PDF brochures are often hidden behind complex DOM structures. We isolate the source URLs and deliver them as clean strings, ready for your CDN to ingest.
To avoid triggering firewall blocks, we route requests through residential proxies and throttle concurrency. This ensures high success rates without overwhelming the target servers.
Tourism portals update their CMS layouts frequently. We use multiple fallback chains per field, including XPath and regex patterns, to maintain data flow during site redesigns.
Online travel agencies integrate official destination descriptions and high-resolution media into their booking platforms.
Analysts track the growth of certified tour operators and regional tourism development over time.
Other national tourism boards monitor Peru's promotional strategies, event calendars, and content structures.
Machine learning teams use structured itinerary and destination data to train generative travel recommendation models.
Travel bloggers and publishers populate their databases with verified facts regarding altitude, climate, and local gastronomy.
B2B travel networks cross-reference their supplier lists against the official government directory of certified operators.
"Peru.travel holds the definitive, state verified dataset of Andean tourism operators and destination profiles, but compiling it requires structural parsing."
Extracting reliable travel intelligence requires handling heavy JavaScript rendering, multi-language session states, and dynamic map layers. DataFlirt manages the proxy rotation and DOM parsing so your engineering team can focus on integrating the data into your travel products.
Everything supported by our peru.travel 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 and deduplication. Playwright handles JavaScript rendering and language session states.
We route requests through distributed proxy pools to maintain high success rates without triggering rate limits.
Pipelines run on AWS infrastructure. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About peru.travel scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from government tourism portals is generally permissible. DataFlirt targets only public, non-authenticated destination and operator data. We do not extract personal data or circumvent authentication walls.
We can extract content in any language officially supported by the site, including English, Spanish, Portuguese, German, and French, by managing the appropriate session cookies and headers.
We extract the high-resolution source URLs for images and media assets. Downloading and hosting the actual binary files is typically handled by the client's own CDN infrastructure.
We recommend monthly or quarterly runs for the operator directory, as government certification lists do not change daily. Event calendars can be synced weekly.
Yes. Our Playwright integration allows us to parse the underlying JSON data feeding the map widgets, extracting precise latitude and longitude coordinates for destinations and attractions.
Yes. We provide a sample run of up to 100 destinations or operators during the scoping process, allowing you to validate the schema before signing a contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full catalogue of Peruvian destinations or a verified list of tour operators, we build and operate the infrastructure. Tell us your requirements.
