We extract tour listings, daily itineraries, departure pricing, availability signals, and reviews from Exodus Travels. 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 Tour Overview objects from exodus.co.uk. All fields typed and schema-versioned.
"trip_code": "TPA", "title": "Amalfi Coast Walking", "destination_country": "Italy", "duration_days": 8, "activity_level": "Level 3", "base_price": 1499.0, "currency": "GBP", "rating": 4.8, "review_count": 342
| # | trip_code | title | destination_country | region | duration_days | activity_level |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Departures & Pricing objects from exodus.co.uk. All fields typed and schema-versioned.
"trip_code": "TPA", "departure_date": "2026-05-14", "return_date": "2026-05-21", "price": 1499.0, "availability_status": "Available", "guaranteed_departure": true, "flight_included": false, "spaces_left": 4
| # | trip_code | departure_date | return_date | price | list_price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Daily Itinerary objects from exodus.co.uk. All fields typed and schema-versioned.
"trip_code": "TPA", "day_number": 3, "day_title": "Walk the Path of the Gods", "accommodation": "Hotel Due Golfi", "meals_included": "['Breakfast', 'Dinner']", "walking_distance_km": 11.5, "ascent_m": 450, "descent_m": 600
| # | trip_code | day_number | day_title | description | accommodation | meals_included |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Customer Reviews objects from exodus.co.uk. All fields typed and schema-versioned.
"review_id": "REV-89214", "trip_code": "TPA", "author": "Sarah Jenkins", "travel_date": "2025-09-12", "star_rating": 5, "title": "Incredible views and great guide", "guide_rating": 5, "verified_traveller": true
| # | review_id | trip_code | author | travel_date | star_rating | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Essential Info objects from exodus.co.uk. All fields typed and schema-versioned.
"trip_code": "TPA", "transport_types": "['Minibus', 'Boat']", "accommodation_types": "['Standard Hotel']", "carbon_footprint_kg": 245, "visa_requirements": "No visa required for UK citizens", "local_payment_req": 0, "whats_included": "['7 nights accommodation', 'All breakfasts', '5 dinners']"
| # | trip_code | whats_included | whats_not_included | visa_requirements | vaccination_reqs | packing_list |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Exodus scraper handles the entire site structure: trip overview pages, complex departure date matrices, paginated reviews, and daily itinerary breakdowns. We map everything into a relational schema.
Day by day breakdown including titles, descriptions, included meals, accommodation details, and physical metrics like ascent or descent.
Capture every scheduled departure, return date, guaranteed status, and remaining availability for the next 24 months.
Extract base prices, flight inclusive options, single supplement fees, and limited time discount percentages.
Categorise trips by Exodus's specific Activity Level ratings, walking distances, and minimum age requirements.
Full review text, star ratings, travel dates, and verified traveller flags paginated across all trip pages.
Structured arrays of what is included, transport types, visa requirements, and carbon footprint metrics per trip.
Map trips to primary countries, regions, and specific geographic tags used in the Exodus navigation hierarchy.
Monitor spaces left on specific departures to track booking velocity and sell out rates.
Run continuous pipelines at daily cadences with change detection diffing for pricing and availability updates.
Brief in. Clean data out.
Provide target regions, activity types, or specific trip codes. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for exodus.co.uk.
Schema validation, null rate checks, price outlier detection, and sample itineraries before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Travel operators use complex JavaScript matrices for pricing and availability. We manage the rendering and normalisation so you get clean tables.
Exodus loads departure dates, availability, and pricing dynamically via API calls and JavaScript. We use Playwright to execute these scripts, select different flight options, and extract the resulting DOM updates.
Day by day itineraries are often formatted inconsistently. We parse the HTML nodes to separate day numbers, titles, meal inclusions, and descriptive text into strict JSON arrays.
By hashing departure date records, we identify when availability drops or prices change. This allows you to track booking velocity without storing redundant data across runs.
We route requests through UK residential IPs to ensure we receive the correct GBP pricing and avoid geographic redirects or rate limiting from their CDN.
Travel sites frequently update their booking engine UI. We use multiple fallback chains per field to ensure a minor layout change does not break your data pipeline.
Rival tour operators track Exodus pricing, single supplements, and discount strategies across specific regions to optimise their own margins.
Travel analysts evaluate itinerary structures, duration preferences, and activity levels to identify gaps in the adventure travel market.
By tracking changes in departure availability over time, analysts estimate sales volume and seasonal demand curves.
Aggregating customer reviews helps identify common complaints or highly praised guide behaviours to inform service improvements.
Specialist travel aggregators ingest Exodus catalogue data to display comprehensive search results for adventure holidays.
Analysts track carbon footprint metrics and transport methods published by operators to benchmark industry sustainability efforts.
"Adventure travel pricing is highly dynamic. Without structured extraction, tracking availability and yield management strategies across thousands of departures is impossible."
Most teams struggle with the nested complexity of travel booking engines. Reliable extraction requires JavaScript rendering for pricing matrices, careful parsing of unstructured itineraries, and daily monitoring. DataFlirt handles this infrastructure so your analysts can focus on market intelligence.
Everything supported by our exodus.co.uk 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 and retry logic. Playwright handles JavaScript rendering for the complex booking matrices.
We maintain pools of UK residential proxies to ensure consistent GBP pricing and avoid geographic redirects.
Pipelines run on AWS ECS. Airflow handles scheduling and dependency management. All state is stored in PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About exodus.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt targets only public, non authenticated tour, pricing, and review data. We do not extract personal data or circumvent authentication walls.
We use Playwright to render the JavaScript booking engine, simulating user interaction to expose all available departure dates, flight options, and corresponding prices.
Yes. By running daily pipelines and extracting the remaining spaces per departure, we provide a time series dataset that reveals booking velocity.
Yes. We parse the itinerary sections into structured arrays, separating day numbers, descriptions, included meals, and accommodation details.
We can configure pipelines to run daily or weekly depending on your requirements. A full catalogue refresh typically completes within a few hours.
Yes. We provide a sample run of up to 50 trip codes during the scoping process so you can validate the schema and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one off catalogue dump or a continuous availability monitoring feed, we build and operate the pipeline. Tell us what you need.
