We extract destination metadata, curated itineraries, POI coordinates, and editorial travel advice from Rough Guides. 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 roughguides.com. All fields typed and schema-versioned.
"destination_id": "rg_dest_8429", "name": "Kyoto", "parent_region": "Kansai, Japan", "best_time_to_visit": "March to May", "currency": "Japanese Yen (JPY)", "coordinates": "35.0116° N, 135.7681° E", "hierarchy_level": "City"
| # | destination_id | hierarchy_level | name | parent_region | description | best_time_to_visit |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Points of Interest objects from roughguides.com. All fields typed and schema-versioned.
"poi_id": "poi_99214", "name": "Fushimi Inari-taisha", "type": "Shrine", "destination": "Kyoto", "admission_fee": "Free", "latitude": 34.9671, "longitude": 135.7727
| # | poi_id | name | type | destination | description | address |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Itineraries objects from roughguides.com. All fields typed and schema-versioned.
"itinerary_id": "itin_402", "title": "Classic Japan: Tokyo to Kyoto", "duration_days": 14, "travel_style": "Cultural", "best_months": "['March', 'April', 'October', 'November']", "regions_covered": "['Tokyo', 'Hakone', 'Kyoto', 'Nara']", "estimated_cost": "$$$"
| # | itinerary_id | title | duration_days | regions_covered | difficulty | best_months |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Travel Articles objects from roughguides.com. All fields typed and schema-versioned.
"article_id": "art_19842", "title": "10 best street food spots in Hanoi", "author": "John Doe", "publish_date": "2025-08-14", "category": "Food & Drink", "tags": "['Vietnam', 'Hanoi', 'Street Food', 'Budget']", "read_time_minutes": 6
| # | article_id | title | author | publish_date | category | tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Accommodation objects from roughguides.com. All fields typed and schema-versioned.
"place_id": "acc_5512", "name": "Riad Yasmine", "category": "Boutique Hotel", "price_tier": "$$", "neighborhood": "Medina", "address": "209 Rue Ank Jemel, Marrakech 40000, Morocco", "rough_guides_verdict": "A tranquil courtyard oasis amidst the Medina chaos."
| # | place_id | name | category | price_tier | description | address |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Rough Guides scraper navigates hierarchical destination trees, dynamic maps, and editorial content — standardising unstructured travel advice into queryable relational formats.
Crawl from continents down to specific neighbourhoods, maintaining parent-child relationships for accurate geographic grouping.
Extract museums, parks, historical sites, and activities with exact coordinates, admission fees, and opening hours.
Parse multi-day travel routes into structured JSON arrays, capturing daily schedules, transit methods, and recommended stops.
Extract visa requirements, currency advice, health precautions, and local transport tips specific to each region.
Scrape curated hotel and restaurant recommendations, including price tiers, neighbourhood contexts, and editorial verdicts.
Capture CDN links for destination photography and map graphics, ensuring high-quality visual assets for your application.
Hydrate map widgets to extract latitude and longitude data for destinations and POIs that lack explicit text coordinates.
Extract long-form travel journalism, author metadata, tags, and publication dates for content syndication or NLP training.
Run scheduled diffs to detect newly added destinations, updated itineraries, or revised travel safety advice without re-scraping the entire site.
Brief in. Clean data out.
Provide target continents, countries, or specific content types (e.g. itineraries only). We design the extraction schema together.
We configure Scrapy / Playwright crawlers, map traversal logic, and unstructured text parsers for roughguides.com.
Schema validation, coordinate accuracy checks, and hierarchy verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Travel content is highly unstructured and geographically nested. We standardise editorial content into strict schemas.
Travel sites use deep nesting (Continent > Country > Region > City > Neighbourhood). Our crawlers maintain stateful breadcrumb trails, ensuring every POI or article is correctly tagged with its full geographic lineage.
Rough Guides relies heavily on long-form editorial paragraphs rather than strict data tables. We use heuristic parsers and regex patterns to extract implicit structured data (like opening hours or price tiers) from natural language text.
Geospatial data is often locked inside interactive JavaScript map components. We execute Playwright sessions to render these maps, intercepting the underlying API calls or DOM state to extract precise latitude and longitude.
Travel guides update slowly, but safety advice and pricing can change overnight. We maintain hash indexes of destination text and only push differential updates, saving compute and downstream processing.
Media and publishing sites frequently employ Cloudflare to block scrapers. We route requests through residential proxies and spoof TLS/HTTP2 fingerprints to emulate legitimate reader traffic.
Online travel agencies enrich their booking pages with trusted destination descriptions, safety advice, and best-time-to-visit metadata.
Machine learning teams train LLMs on curated multi-day itineraries to understand logical routing, transit times, and thematic travel planning.
Navigation and mapping startups seed their platforms with curated POIs, historical context, and editorial reviews.
Airlines and hospitality brands syndicate travel articles and destination guides to engage customers in their loyalty apps.
Tourism boards analyse destination coverage and editorial sentiment to benchmark their region against competitors.
Publishing competitors monitor newly added itineraries and updated guidebook content to identify emerging travel trends.
"Rough Guides holds decades of curated, on-the-ground travel intelligence — but extracting it requires parsing complex hierarchical DOMs and dynamic maps."
Most teams struggle with travel sites because editorial content lacks strict structural consistency. DataFlirt deploys resilient heuristics and fallback selectors to normalise long-form travel advice, nested POI data, and itinerary steps into clean, predictable relational tables.
Everything supported by our roughguides.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 crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interactive map hydration.
We maintain pools of residential ISP proxies across regions to bypass geo-blocking and load-balancer rate limits common to media publishers.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About roughguides.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available editorial content and destination data is generally permissible. DataFlirt targets only public, non-authenticated pages. We do not extract user accounts or private trip plans. Clients must ensure their downstream use (e.g., publishing) complies with copyright laws regarding editorial text.
We use custom Python heuristics and regex patterns to identify structured data points (like opening hours, currency, and admission fees) embedded within natural language paragraphs, outputting them into clean JSON fields.
Yes. Where coordinates are not explicitly listed in the text, we use Playwright to render the page's interactive map widgets and intercept the geospatial data payloads.
We can scrape public itinerary templates and destination overviews from the Tailor-Made section, but we do not scrape direct messaging or gated quotes between users and local experts.
Travel guides update infrequently compared to eCommerce. Most clients opt for monthly or quarterly diff runs to capture new articles, revised safety advice, or updated itineraries.
Our minimum engagement typically covers a targeted extraction of 500+ destinations or itineraries. Contact us with your specific regional or content requirements for a scoped quote.
Absolutely. We provide a sample run of up to 50 destinations or itineraries as part of the pre-engagement scoping process, allowing you to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a global destination taxonomy or a specific set of curated itineraries — we scope, build, and operate the pipeline. Tell us what you need.
