We extract holiday packages, real-time forex exchange rates, multi-city itineraries, and visa requirement datasets from Thomas Cook India. 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 Holiday Packages objects from thomascook.in. All fields typed and schema-versioned.
"package_id": "PKG102934", "title": "Magical Europe Tour", "destination": "Europe", "duration_days": 12, "duration_nights": 11, "starting_price": 185000.0, "currency": "INR", "inclusions": "['Flights', 'Hotels', 'Meals', 'Transfers', 'Sightseeing']", "flight_included": true
| # | package_id | title | destination | duration_days | duration_nights | starting_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Forex Rates objects from thomascook.in. All fields typed and schema-versioned.
"currency_code": "USD", "currency_name": "US Dollar", "buy_rate": 82.45, "sell_rate": 84.1, "forex_card_rate": 83.5, "timestamp": "2026-05-12T10:15:00Z", "delivery_options": "['Home Delivery', 'Branch Pickup']", "branch_pickup_available": true
| # | currency_code | currency_name | buy_rate | sell_rate | forex_card_rate | cash_rate |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Flights objects from thomascook.in. All fields typed and schema-versioned.
"flight_number": "AI-101", "airline": "Air India", "origin": "DEL", "destination": "JFK", "departure_time": "2026-06-15T02:15:00Z", "price": 75400.0, "cabin_class": "Economy", "stops": 0
| # | flight_number | airline | origin | destination | departure_time | arrival_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hotels objects from thomascook.in. All fields typed and schema-versioned.
"hotel_id": "HTL88392", "name": "Taj Mahal Tower", "city": "Mumbai", "star_rating": 5, "price_per_night": 14500.0, "user_rating": 4.8, "review_count": 3412, "amenities": "['Pool', 'Spa', 'Free WiFi']"
| # | hotel_id | name | location | city | country | star_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Visas objects from thomascook.in. All fields typed and schema-versioned.
"destination_country": "United Kingdom", "visa_type": "Tourist", "processing_time_days": 15, "thomas_cook_fee": 2500.0, "embassy_fee": 11500.0, "currency": "INR", "entry_type": "Multiple", "interview_required": false
| # | destination_country | visa_type | processing_time_days | thomas_cook_fee | embassy_fee | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our thomascook.in scraper handles complex itinerary structures, dynamic pricing widgets, and real-time forex rate tables. We manage the session handling and bot circumvention required to maintain high-frequency pipelines.
Extract deep itinerary details, day-by-day schedules, hotel inclusions, flight details, and pricing tiers for domestic and international tours.
Capture buy, sell, and remittance rates across 26+ currencies. Track forex card load rates versus physical cash rates with high-frequency polling.
Monitor domestic and international route pricing, capturing airline, layovers, baggage allowances, and cabin class variations.
Extract property details, star ratings, room types, and dynamic nightly rates across global destinations.
Compile document checklists, processing times, embassy fees, and service charges for tourist and business visas globally.
Scrape deck plans, cabin pricing, port-of-call schedules, and onboard inclusions for international cruise packages.
Monitor seasonal price fluctuations for holiday packages and flights. We maintain time-series data for historical trend analysis.
Forex markets move fast. We support sub-minute polling intervals for currency exchange rates to feed algorithmic trading and arbitrage models.
We convert unstructured day-by-day text descriptions into clean, queryable JSON arrays linking locations, activities, and accommodations.
Brief in. Clean data out.
Provide target categories, specific package URLs, or currency pairs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for thomascook.in.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Travel aggregators rely on heavy JavaScript and dynamic pricing models. Here is how we extract reliable data from Thomas Cook India.
Forex rates and flight prices on Thomas Cook are hydrated via asynchronous API calls after page load. We use Playwright to execute JavaScript, intercept XHR requests, and capture the exact JSON payloads driving the frontend.
Holiday packages feature complex, accordion-style day-by-day itineraries. Our selectors map these nested DOM elements into structured arrays, ensuring activities align correctly with their respective days and locations.
Flight and hotel searches require maintaining stateful sessions with specific cookies and tokens. We manage cookie jars and session headers to navigate multi-step search flows without triggering bot defenses.
High-frequency forex polling quickly triggers IP bans. We distribute requests across a pool of Indian residential IP addresses, rotating per request to maintain uninterrupted access.
We normalise dates, currency formats, and location names across flights, hotels, and packages, ensuring the final output is immediately queryable in your warehouse.
Meta-search engines ingest Thomas Cook package details to expand their own catalogue offerings and compare pricing.
Financial firms and currency exchanges track real-time retail forex rates to optimise their own spreads and identify arbitrage opportunities.
Rival travel agencies monitor Thomas Cook holiday package pricing and seasonal discounts to adjust their own promotional strategies.
Tourism boards and analysts track destination popularity based on the volume and pricing of new package launches.
B2B visa agencies scrape requirement checklists and fee structures to keep their own internal compliance databases updated.
Machine learning teams use structured itinerary data to train generative AI models for automated travel planning and recommendation engines.
"Travel pricing is highly volatile. Accessing structured itinerary and forex data requires navigating complex session states and dynamic DOM hydration."
Building scrapers for travel platforms requires managing stateful search sessions, intercepting XHR pricing payloads, and parsing deeply nested itinerary structures. DataFlirt manages the entire extraction lifecycle. Your engineers receive clean, normalised JSON rather than dealing with broken selectors and IP bans.
Everything supported by our thomascook.in 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 crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript execution, XHR interception, and interaction flows for dynamic pricing.
We maintain pools of Indian residential ISP proxies. Rotation happens per request with sticky sessions required for multi-step flight and hotel searches.
Pipelines run on AWS ECS. Airflow handles scheduling, dependency management, and SLA alerting. Time-series data is stored in managed PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About thomascook.in scraping, legality, and pipeline operations.
Ask us directly →Yes. We parse the accordion-style HTML structures into nested JSON arrays, mapping specific activities, locations, and hotel stays to each day of the tour.
We support high-frequency polling down to sub-minute intervals for specific currency pairs, routing requests through extensive proxy pools to avoid IP bans.
Yes. We automate the search flow for specific origin-destination pairs and dates, capturing the resulting flight options, airlines, layovers, and pricing tiers.
Yes. We extract destination-specific visa data including processing times, embassy fees, service charges, and required document checklists.
We use Playwright to execute the page JavaScript and intercept the underlying XHR requests. This allows us to capture the clean JSON payloads containing the pricing data directly from their internal APIs.
Yes. We provide a sample run covering up to 50 holiday packages during the scoping phase, allowing your team to validate the nested schema structure before proceeding.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a continuous forex rate feed or a full extraction of the holiday package catalogue, we scope, build, and operate the pipeline. Tell us what you need.
