We extract regional guides, operator directories, event schedules, and cultural itineraries from colombia.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 colombia.travel. All fields typed and schema-versioned.
"destination_id": "DEST-042", "name": "Medellín", "region": "Andean", "department": "Antioquia", "climate": "22°C - 24°C", "altitude": "1495m"
| # | destination_id | name | region | department | description | climate |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Experiences objects from colombia.travel. All fields typed and schema-versioned.
"experience_id": "EXP-891", "title": "Coffee Cultural Landscape", "category": "Agrotourism", "location": "Quindío", "duration": "Full Day", "operator_count": 24
| # | experience_id | title | category | sub_category | description | duration |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Tour Operators objects from colombia.travel. All fields typed and schema-versioned.
"operator_id": "OP-4492", "company_name": "Andean Treks SAS", "rnt_number": "88291", "specialties": "['Trekking', 'Birdwatching']", "languages_spoken": "['ES', 'EN']", "website": "https://example.com"
| # | operator_id | company_name | rnt_number | contact_name | phone | |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Events & Festivals objects from colombia.travel. All fields typed and schema-versioned.
"event_id": "EVT-102", "event_name": "Feria de las Flores", "start_date": "2026-08-01", "end_date": "2026-08-10", "location": "Medellín", "category": "Cultural Festival"
| # | event_id | event_name | start_date | end_date | location | venue |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Itineraries objects from colombia.travel. All fields typed and schema-versioned.
"itinerary_id": "ITN-055", "title": "Caribbean Coast Explorer", "days": 7, "target_audience": "Backpackers", "regions_covered": "['Magdalena', 'Bolívar']", "transport_modes": "['Bus', 'Boat']"
| # | itinerary_id | title | days | target_audience | regions_covered | daily_schedule |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our extraction pipeline targets regional destinations, operator directories, and cultural metadata. We handle multi-language routing, map interceptions, and dynamic pagination natively.
Extract regional data, climate stats, altitude parameters, and descriptive copy for every listed municipality and department.
Capture RNT numbers, contact details, language capabilities, and service specialties from the official provider directory.
Scrape ES, EN, and PT variants of the site, linking equivalent records to build a unified, translated dataset.
Monitor festival dates, venue details, and schedule changes across the national tourism calendar.
Link cultural and nature experiences to specific regions and certified operators.
Extract accurate latitude and longitude pairs from embedded map views for spatial analysis.
Capture high-resolution image URLs, gallery structures, and alt-text for content enrichment.
Structure day-by-day travel plans, target demographics, and recommended transport modes.
Run weekly or monthly diffs to detect new operator registrations and seasonal event additions.
Brief in. Clean data out.
Provide target regions, categories, or language requirements. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for colombia.travel.
Schema validation, null-rate checks, and sample operator records before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Modern tourism portals rely heavily on client-side rendering and map integrations. Here is how we maintain data integrity.
colombia.travel serves content across multiple language subdirectories. We map equivalent records across ES, EN, and PT sites to build a unified, translated dataset.
Destination coordinates and operator locations are rendered via client-side map libraries. We intercept the underlying GeoJSON and API payloads to extract exact lat/long pairs.
The site relies heavily on high-resolution imagery and video. We extract the source CDN URLs, normalise paths, and capture associated alt-text and metadata.
The registered tour operator database uses JavaScript-based pagination and filtering. Playwright handles the interaction state to ensure zero dropped records during traversal.
Event dates and operator statuses change frequently. We hash records per run and emit only diffs, reducing storage bloat for downstream systems.
Enrich OTA platforms with official destination metadata, climate statistics, and regional descriptions.
Extract registered tour operators, RNT numbers, and contact details for targeted B2B sales and partnerships.
Analyse tourism trends, experience categorisation, and regional development using official registry data.
Train translation models on official multi-language tourism copy to ensure accurate regional terminology.
Populate AI travel planners with verified Colombian routes, transport modes, and certified operators.
Track festival and fair schedules to inform dynamic pricing models for flights and accommodation.
"Colombia.travel holds the definitive registry of official tour operators and regional tourism data, but it remains locked behind web views and map interfaces."
Extracting structured data from national tourism portals requires handling heavy multimedia sites, dynamic map interfaces, and multi-language routing. DataFlirt manages the extraction infrastructure so your team can focus on integrating the data into your travel products.
Everything supported by our colombia.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, 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 multiple 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 colombia.travel scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from colombia.travel is generally permissible. DataFlirt targets only public, non-authenticated tourism data and operator directories. We do not extract personal data or breach authentication walls.
We support extraction across all active language variants on the site, primarily Spanish, English, and Portuguese. Our pipeline normalises records so you can link equivalent entities across languages.
Yes. We extract company names, RNT (Registro Nacional de Turismo) numbers, phone numbers, emails, and website URLs as listed in the public directory.
We intercept the network payloads and GeoJSON objects that populate the client-side maps, allowing us to extract precise latitude and longitude coordinates for destinations and operators.
For destination metadata, monthly updates are sufficient. For event calendars and tour operator directories, we recommend weekly runs to capture new registrations and schedule changes.
Absolutely. We provide a sample run of up to 100 destinations or operators as part of the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a complete destination directory or a continuous feed of registered tour operators — we scope, build, and operate the pipeline. Tell us what you need.
