We extract destination guides, hotel rankings, editorial reviews, and itinerary details from Travel + Leisure. 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 Destination Guides objects from travelandleisure.com. All fields typed and schema-versioned.
"url": "https://www.travelandleisure.com/tokyo-guide", "title": "The Ultimate Tokyo Travel Guide", "location_name": "Tokyo", "country": "Japan", "best_time_to_visit": "March to May", "author": "Jane Doe", "published_date": "2023-10-14T08:00:00Z"
| # | url | title | location_name | region | country | best_time_to_visit |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Hotel Reviews objects from travelandleisure.com. All fields typed and schema-versioned.
"hotel_name": "Aman Tokyo", "location": "Otemachi, Tokyo", "editorial_rating": 4.8, "price_category": "$$$$", "amenities": "['Spa', 'Pool', 'Fine Dining', 'City Views']", "reviewer": "John Smith", "review_body": "Occupying the top six floors of the Otemachi Tower..."
| # | hotel_name | location | star_rating | editorial_rating | price_category | amenities |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for World's Best Awards objects from travelandleisure.com. All fields typed and schema-versioned.
"year": 2023, "category": "Top 100 Hotels in the World", "rank": 1, "winner_name": "Four Seasons Hotel Istanbul at Sultanahmet", "score": 99.32, "location": "Istanbul, Turkey", "previous_rank": 4
| # | year | category | rank | winner_name | score | location |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Cruise Reviews objects from travelandleisure.com. All fields typed and schema-versioned.
"cruise_line": "Viking Ocean Cruises", "ship_name": "Viking Star", "passenger_capacity": 930, "editorial_score": 96.5, "dining_options": "['The Restaurant', "Manfredi's", "Chef's Table"]", "review_text": "Designed for destination cruisers, the Viking Star..."
| # | cruise_line | ship_name | itinerary_type | passenger_capacity | editorial_score | dining_options |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Travel Itineraries objects from travelandleisure.com. All fields typed and schema-versioned.
"title": "7 Days in the Amalfi Coast", "days_duration": 7, "target_audience": "['Couples', 'Luxury']", "budget_level": "$$$$", "recommended_hotels": "['Le Sirenuse', 'Hotel Santa Caterina']", "author": "Maria Rossi"
| # | title | days_duration | target_audience | budget_level | daily_schedule | recommended_hotels |
|---|---|---|---|---|---|---|
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Our scraper handles the Dotdash Meredith CMS structure: extracting structured data from editorial prose, parsing nested lists, and normalising geolocations across thousands of articles.
Parse unstructured article text into strict JSON schemas containing ratings, pros, cons, and amenities.
Extract historical and current rankings across hotels, cities, cruise lines, and airlines.
Capture location data, best times to visit, and top attractions from comprehensive destination hubs.
Structure day by day travel plans, transit recommendations, and budget categories.
Map editorial location strings to standardised city, region, and country fields.
Track article authors, publication dates, and editorial update timestamps.
Extract high resolution hero images and inline gallery URLs associated with locations.
Capture CMS tags, breadcrumbs, and internal category assignments for every article.
Run continuous pipelines to detect new publications or updated reviews.
Brief in. Clean data out.
Provide category URLs, specific awards lists, or search queries. We design the extraction schema together.
We configure Scrapy crawlers, handle infinite scroll pagination, and map DOM elements to JSON fields.
Schema validation, null-rate checks, and location normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Extracting structured data from editorial media sites requires overcoming aggressive caching, dynamic layouts, and unstructured text.
Travel + Leisure sits on the Dotdash Meredith network, which deploys edge caching and standard anti-bot measures. We use residential proxies and realistic request headers to maintain uninterrupted access.
Editorial reviews do not always follow strict tabular formats. We use custom XPath selectors and regex pipelines to extract specific entities like prices, ratings, and locations from prose paragraphs.
Many category pages and award lists use infinite scroll or JavaScript pagination. We run Playwright sessions to trigger lazy loading and capture the complete dataset.
Media sites frequently A/B test layouts or push CMS updates. Our selectors use multiple fallback chains to ensure data extraction continues even if DOM structures shift.
Every run emits structured logs to Grafana. We monitor for null-rate spikes in critical fields like ratings and locations, intervening before bad data reaches your warehouse.
Online travel agencies map editorial recommendations against their inventory to identify missing high value properties.
Hotel groups track their properties and competitors in the World's Best Awards and editorial reviews.
Analysts track mention frequency of specific regions or travel styles to forecast upcoming tourism demand.
Travel planning platforms ingest structured destination data to enrich their own user facing guides.
Machine learning teams use editorial pros, cons, and amenities to train travel recommendation models.
Tourism boards monitor coverage of their regions to measure PR impact and benchmark against competing destinations.
"Travel + Leisure dictates global hospitality standards, but extracting structured signal from editorial prose requires parsing unstructured CMS layouts at scale."
Dotdash Meredith properties deploy aggressive caching and anti-bot measures. We handle the residential proxy rotation, JavaScript hydration, and schema normalisation so your analysts can focus on destination trends rather than maintaining fragile DOM selectors.
Everything supported by our travelandleisure.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 handles orchestration and retry logic. Playwright handles JavaScript execution for infinite scroll and lazy loaded assets.
We route requests through residential ISP proxies to avoid edge caching blocks and maintain high success rates.
Pipelines execute on Kubernetes and AWS Lambda. Airflow manages scheduling and dependency resolution.
Data delivered to where your team already works — no new tooling required.
About travelandleisure.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available editorial content is generally permissible under applicable law. DataFlirt extracts only public, non-authenticated articles, reviews, and rankings. We do not bypass paywalls or extract personally identifiable user data.
Yes, we can extract historical rankings for any year that remains published and accessible in the Travel + Leisure digital archive.
Our extraction engineers build custom regex pipelines and XPath selectors to identify specific entities like prices, amenities, and ratings within standard prose paragraphs.
We extract the URLs for high resolution hero images and inline gallery assets. We do not download the binary image files, but provide the direct links in your dataset.
For editorial sites, we typically configure daily or weekly runs to capture newly published articles and updates to existing guides.
Yes. We apply post processing steps to map editorial location strings (e.g. 'The Amalfi Coast') to structured fields containing city, region, and country.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a complete archive of hotel reviews or an ongoing feed of destination guides — we build and operate the pipeline. Tell us what you need.
