We extract hidden places, coordinates, Gastro Obscura entries, and user travel lists from Atlas Obscura. 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 Places & Locations objects from atlasobscura.com. All fields typed and schema-versioned.
"place_id": "12948", "title": "The Highgate Vampire", "location_string": "London, England", "latitude": 51.5668, "longitude": -0.1472, "visit_count": 4812, "want_to_go_count": 12904, "tags": "['cemeteries', 'vampires', 'macabre']"
| # | place_id | title | url | location_string | latitude | longitude |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Gastro Obscura objects from atlasobscura.com. All fields typed and schema-versioned.
"gastro_id": "g-492", "dish_name": "Casu Marzu", "location_string": "Sardinia, Italy", "latitude": 40.1209, "longitude": 9.0129, "tags": "['cheese', 'insects', 'illegal']", "author": "Luke Fater"
| # | gastro_id | dish_name | location_string | latitude | longitude | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for User Tips & Reviews objects from atlasobscura.com. All fields typed and schema-versioned.
"tip_id": "t-849102", "place_id": "12948", "username": "dark_tourist_99", "tip_text": "Bring waterproof boots if visiting after rain. The main paths get incredibly muddy.", "upvotes": 42, "photos_attached": 2, "date_posted": "2025-10-12"
| # | tip_id | place_id | user_id | username | tip_text | date_posted |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Guided Trips objects from atlasobscura.com. All fields typed and schema-versioned.
"trip_id": "tr-104", "title": "Hidden Wonders of Transylvania", "duration_days": 8, "price_usd": 2450.0, "max_group_size": 12, "difficulty_level": "Moderate", "departure_dates": "['2026-05-10', '2026-09-15']"
| # | trip_id | title | duration_days | price_usd | itinerary_steps | departure_dates |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Editorial Stories objects from atlasobscura.com. All fields typed and schema-versioned.
"article_id": "art-9921", "headline": "The Secret History of Soviet Bus Stops", "author": "Christopher Herwig", "publish_date": "2024-03-14", "category": "Architecture", "tags": "['soviet', 'transportation', 'concrete']", "related_places": "['1402', '8821']"
| # | article_id | headline | author | publish_date | category | tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipeline navigates custom map widgets, pagination structures, and user-generated content sections to extract clean geospatial and editorial datasets.
Extract exact latitude and longitude coordinates embedded within Mapbox widgets for every place and Gastro Obscura entry.
Capture title, descriptions, historical context, and categorisation tags for tens of thousands of unique global locations.
Isolate food-specific entries including dish names, local ingredients, regional origins, and associated restaurants.
Track 'Been There' and 'Want to Go' counters to gauge popularity and footfall intent for specific destinations.
Scrape user-submitted tips, practical visiting advice, upvotes, and accessibility warnings attached to location pages.
Extract commercial trip details including day-by-day itineraries, pricing in USD, group limits, and departure schedules.
Pull full-text articles, author metadata, publication dates, and inline image URLs from the editorial sections.
Map articles to places, and places to nearby attractions, maintaining the internal graph structure of the catalogue.
Run recurring pipelines that only extract newly added places, updated tips, or changed trip pricing.
Brief in. Clean data out.
Specify regions, content types (Places vs Gastro), or specific trip categories. We map the required schema.
We configure Scrapy crawlers, handle map widget parsing, and bypass Cloudflare bot protection.
Automated checks ensure coordinate formats are valid and tip pagination completes without truncation.
Data pushed as JSON, CSV, or Parquet to your preferred S3 bucket or data warehouse on schedule.
Extracting location data requires parsing dynamic maps and handling aggressive edge caching. We manage the infrastructure.
Coordinates are often embedded deep within JavaScript objects used to initialise Mapbox elements. We intercept these initialisation payloads to extract precise latitude and longitude data without rendering the full map tiles.
Atlas Obscura utilises Cloudflare to block automated traffic. Our infrastructure uses residential proxies and Playwright sessions with realistic TLS fingerprints to bypass edge challenges reliably.
User tips and regional location lists rely on asynchronous loading. We script specific interaction flows to trigger pagination tokens and ensure 100% coverage of user-generated content.
Historical descriptions and practical tips are often unstructured. We parse HTML nodes precisely to separate editorial body copy from metadata like opening hours and admission fees.
Every extracted coordinate pair runs through automated boundary checks to ensure it falls within the expected country or region, flagging anomalies before delivery.
Consumer travel applications integrate hidden wonders and Gastro Obscura locations to enrich their own map interfaces.
Urban planners and researchers map unconventional tourism hotspots against public transport infrastructure.
Publishers and lifestyle brands aggregate unique travel itineraries and editorial content for niche audiences.
Sociologists and historians track the popularity of dark tourism sites using visit and want-to-go counters.
Boutique travel agencies use the database to discover off-the-beaten-path locations for custom client itineraries.
Tour operators monitor Atlas Obscura's guided trip pricing, group sizes, and availability to benchmark their own offerings.
"Atlas Obscura holds the internet's most comprehensive catalogue of unconventional travel destinations, but extracting precise geospatial coordinates requires specialised infrastructure."
Extracting location data at scale requires parsing complex map widgets, handling aggressive bot mitigation, and managing asynchronous content loads. DataFlirt abstracts this complexity, delivering clean geospatial and editorial datasets directly to your warehouse so your engineering team can focus on product development.
Everything supported by our atlasobscura.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 broad crawling and URL discovery. Playwright manages JavaScript execution to parse map widgets and trigger asynchronous content loading.
We route requests through residential IPs to maintain high trust scores, bypassing Cloudflare challenges without triggering captchas.
Pipelines run on Kubernetes clusters with Airflow managing dependencies. Postgres stores state and deduplication hashes.
Data delivered to where your team already works — no new tooling required.
About atlasobscura.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public facts, coordinates, and descriptions is generally permissible. DataFlirt extracts only publicly visible data without circumventing authenticated user areas. Clients must ensure their use of editorial text or user reviews complies with copyright and fair use regulations.
We utilise residential proxy networks and Playwright sessions configured with realistic browser fingerprints to maintain high IP reputation and bypass edge protection challenges automatically.
Yes. We extract the exact latitude and longitude values used by the site's internal map widgets, providing the highest precision available on the platform.
Yes. We can target specific subdirectories or filter outputs based on categorisation tags, delivering separate tables for food entries and geographical wonders.
For the entire catalogue, we recommend weekly or monthly refreshes. For tracking specific guided trip prices or new editorial stories, we can configure daily delta pipelines.
We extract public usernames and profile URLs attached to tips. We do not extract private user data, email addresses, or non-public travel lists.
Yes. We provide a sample dataset of up to 500 locations during the scoping phase so you can verify coordinate accuracy and schema compatibility with your GIS systems.
We build managed pipelines for continuous extraction or provide one-off bulk exports of the entire public catalogue. Contact us to define your exact requirements and receive a technical scope.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need the entire global catalogue of hidden wonders or a daily feed of new Gastro Obscura entries, we handle the infrastructure. Tell us your requirements.
