We extract destination guides, points of interest, events, and accommodation details from Visitmexico. 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 visitmexico.com. All fields typed and schema-versioned.
"destination_id": "DEST-842", "name": "Tulum", "type": "Pueblo Magico", "state": "Quintana Roo", "climate": "Tropical", "location_lat": 20.2114, "location_lng": -87.4653
| # | destination_id | name | type | state | description | climate |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Attractions objects from visitmexico.com. All fields typed and schema-versioned.
"attraction_id": "ATTR-1903", "name": "Chichen Itza", "category": "Archaeological Site", "entry_fee": "614 MXN", "opening_hours": "08:00 - 17:00", "location_lat": 20.6843, "location_lng": -88.5678
| # | attraction_id | destination_id | name | category | description | opening_hours |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Accommodation objects from visitmexico.com. All fields typed and schema-versioned.
"hotel_id": "HOT-4021", "name": "Hotel Xcaret Arte", "type": "Resort", "star_rating": 5, "address": "Carretera Chetumal-Puerto Juarez Km. 282", "contact_phone": "+52 800 009 7567", "amenities": "['All-inclusive', 'Spa', 'Adults only']"
| # | hotel_id | destination_id | name | type | star_rating | address |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Events objects from visitmexico.com. All fields typed and schema-versioned.
"event_id": "EVT-509", "name": "Guelaguetza Festival", "destination": "Oaxaca", "start_date": "2026-07-20", "end_date": "2026-07-27", "category": "Cultural Festival", "venue": "Auditorio Guelaguetza"
| # | event_id | name | destination | start_date | end_date | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Gastronomy objects from visitmexico.com. All fields typed and schema-versioned.
"dish_id": "GAS-112", "region": "Puebla", "dish_name": "Mole Poblano", "ingredients": "['Chili peppers', 'Chocolate', 'Spices']", "best_places_to_eat": "['El Mural de los Poblanos', 'Fonda la Mexicana']", "related_festivals": "['Festival del Mole']"
| # | dish_id | region | dish_name | description | ingredients | history |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Visitmexico scraper navigates regional hierarchies, extracts embedded geospatial data, and normalises cultural event schedules across the entire platform.
Extract states, cities, and Pueblos Magicos with their exact parent child relationships and regional categorisations.
Capture precise latitude and longitude data for attractions, hotels, and event venues embedded in map widgets.
Monitor cultural festivals, exhibitions, and local events with their start dates, end dates, and ticketing links.
Extract regional dishes, ingredients, historical context, and recommended dining spots across all Mexican states.
Scrape hotel names, star ratings, contact information, and amenity lists for listed properties.
Capture CDN links for high-quality destination photos, attraction galleries, and event promotional banners.
Extract content in both Spanish and English depending on your target audience requirements.
Map out recommended travel routes, distances, and associated tour operators listed on the platform.
Run pipelines monthly or quarterly to capture new event listings, updated travel advisories, and fresh POIs.
Brief in. Clean data out.
Provide target regions, event categories, or specific data types. We design the extraction schema together.
We configure Scrapy crawlers, handle map widget rendering, and manage language session cookies.
Schema validation, location coordinate checks, and null-rate monitoring before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Government and tourism portals present unique challenges with legacy structures and dynamic map integrations. We handle the complexity.
Location data is often hidden inside JavaScript map objects rather than plain HTML. We execute full browser sessions to intercept map API responses and extract raw geospatial coordinates.
The site uses cookies and local storage to maintain language preferences. Our crawlers inject strict session states to ensure consistent English or Spanish data extraction without mixed-language bleed.
Destination galleries use lazy loading and complex CDN structures. We scroll and trigger all network requests to capture the highest resolution image URLs available.
Tourism portals often employ Web Application Firewalls to prevent DDoS attacks. We use residential proxies and realistic request pacing to maintain access without triggering rate limits.
Government sites frequently update their CMS structures. We use resilient selector chains and monitor schema drift to ensure data flows remain uninterrupted during site redesigns.
OTAs and travel portals enrich their own destination guides with official descriptions, POIs, and high-quality imagery.
Travel tech startups use structured location and event data to train AI models that generate realistic Mexican travel itineraries.
Hospitality investors analyse destination density, hotel availability, and regional promotion focus to identify investment opportunities.
Agencies track cultural festivals and local holidays across different states to optimise tour scheduling and pricing.
Geospatial companies validate their own POI databases against official tourism board coordinates and categorisations.
Travel bloggers and media outlets use extracted gastronomy and historical data to generate accurate, region-specific content.
"Visitmexico holds the definitive catalogue of Mexican tourism assets, but extracting structured geospatial and cultural data requires a dedicated infrastructure."
Tourism aggregators often rely on manual data entry or fragmented APIs. DataFlirt automates the extraction of high fidelity destination data, event schedules, and local gastronomy details directly from the source. We handle the crawling, schema mapping, and data normalisation so you can focus on building travel products.
Everything supported by our visitmexico.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 the crawl breadth across thousands of destination pages while Playwright executes JavaScript to render map widgets and dynamic galleries.
We route traffic through distributed proxy pools to bypass WAF protections and ensure continuous access to public directories without triggering rate limits.
Pipelines run on AWS ECS with Airflow managing dependencies. We ensure data is extracted, validated, and delivered on a strict schedule.
Data delivered to where your team already works — no new tooling required.
About visitmexico.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from government tourism portals is generally permissible. DataFlirt extracts only public destination guides, event details, and POI locations. We do not attempt to bypass authentication walls or extract personal data. Clients should ensure their use of the data complies with relevant copyright and database rights.
We use Playwright to execute the JavaScript required to render map components. We then intercept the network requests made to the mapping API to extract raw JSON containing accurate latitude and longitude coordinates.
Yes. We configure pipelines to maintain specific session cookies. We can run parallel extractions for both languages and deliver them as separate datasets or merged records.
Destination descriptions and POIs change infrequently, making quarterly updates sufficient. However, event schedules and travel advisories require monthly or weekly crawls to remain accurate.
By default, we provide the direct CDN URLs for all high-resolution imagery. If your use case requires it, we can configure a secondary pipeline to download the assets and push them to your S3 bucket.
Yes. Our change detection system compares current runs against historical datasets. We can configure webhooks to alert you specifically when new destinations or categories are added to the platform.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a complete export of Mexican destinations or a recurring feed of cultural events, we build and operate the infrastructure. Tell us your requirements.
