We extract flight itineraries, hotel availability, package deals, and flash sales from lastminute.fr. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 Flight Itineraries objects from lastminute.fr. All fields typed and schema-versioned.
"origin": "CDG", "destination": "JFK", "airline": "Air France", "flight_number": "AF123", "price": 450.0, "currency": "EUR", "duration": "8h 15m", "layovers": 0
| # | route_id | origin | destination | departure_date | return_date | airline |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hotel Pricing objects from lastminute.fr. All fields typed and schema-versioned.
"name": "Hotel Lutetia", "city": "Paris", "star_rating": 5, "review_score": 8.9, "price_per_night": 350.0, "currency": "EUR", "board_basis": "Breakfast Included", "cancellation_policy": "Free cancellation"
| # | property_id | name | city | country | star_rating | review_score |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dynamic Packages objects from lastminute.fr. All fields typed and schema-versioned.
"destination_city": "Mallorca", "start_date": "2026-07-10", "total_price": 899.0, "currency": "EUR", "persons": 2, "hotel_name": "Iberostar Playa", "discount_pct": 15
| # | package_id | destination_city | departure_airport | start_date | end_date | hotel_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Flash Sales objects from lastminute.fr. All fields typed and schema-versioned.
"title": "Weekend in Rome", "sale_price": 199.0, "original_price": 350.0, "discount_pct": 43, "time_remaining": "48h 12m", "currency": "EUR", "destination": "Rome"
| # | sale_id | title | destination | discount_pct | original_price | sale_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from lastminute.fr. All fields typed and schema-versioned.
"property_id": "HTL-9021", "rating": 9.0, "travel_date": "2025-08-14", "language": "fr", "clean_score": 10, "location_score": 9, "review_text": "Excellent sejour au centre de Paris."
| # | review_id | property_id | author | rating | travel_date | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our lastminute.fr scraper handles complex search matrices across flights, hotels, and dynamic packages. We manage session tokens, JavaScript execution, and proxy rotation to extract clean data.
Capture base fares, taxes, baggage fees, layover durations, and operating airlines across thousands of origin and destination pairs.
Extract room types, board basis options, cancellation policies, and nightly rates across global hotel inventory.
Monitor 'Vol + Hotel' combinations to understand package discounting logic and total trip costs.
Track 'Ventes Flash' campaigns including countdown timers, original prices, and limited inventory flags.
Extract user review scores, sub-category ratings, and translated review text for property sentiment analysis.
Normalise pricing data across EUR, GBP, CHF, and USD formats depending on the point of sale.
Monitor pricing volatility for high-demand routes with intra-day pipeline execution.
Iterate through complex date matrices to build comprehensive forward-looking pricing curves.
Emit only updated pricing records to reduce storage bloat and downstream processing costs.
Brief in. Clean data out.
Provide origins, destinations, dates, or property lists. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for lastminute.fr.
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 deploy sophisticated bot mitigation to protect their pricing data. Here is how we ensure reliable extraction.
Travel sites use strict WAFs. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing to avoid IP bans.
Booking flows are built as Single Page Applications. We run full Playwright browser sessions to trigger lazy loading and execute dynamic price requests.
Pricing APIs require valid session tokens generated during the initial search. We manage cookie jars and token lifecycles to maintain valid sessions across pagination.
Initial search results often display cached prices. We simulate the click-through process to extract the final, verified price before booking.
Building pricing curves requires thousands of searches. We optimise date permutations to extract maximum data with minimal requests.
Online travel agencies monitor competitor pricing to ensure price parity and adjust their own margins.
Hotels track their visibility and pricing across distribution channels to optimise direct booking strategies.
Airlines analyse pricing curves on competing routes to forecast demand and adjust fare classes.
Operators compare dynamic package pricing to position their own holiday offerings competitively.
Analysts identify trending destinations and seasonal demand shifts based on search volume and price volatility.
Price comparison engines feed their databases with real-time pricing data for consumer display.
"Lastminute.fr processes millions of dynamic pricing permutations daily. Extracting this requires infrastructure that can handle session tokens and aggressive bot mitigation."
Travel aggregators deploy sophisticated bot mitigation to protect their pricing data. Scraping lastminute.fr requires residential proxy rotation, full JavaScript execution, and precise session token management. DataFlirt handles this complexity, delivering clean JSON directly to your warehouse.
Everything supported by our lastminute.fr 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, cookie sessions, and interaction flows required for booking engines.
We maintain pools of residential ISP proxies across European regions. Rotation happens per session to avoid triggering rate limits on pricing endpoints.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About lastminute.fr scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated pricing and availability data. We do not extract personal data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to avoid triggering WAF blocks.
Yes. We extract 'Vol + Hotel' combinations including the specific outbound and return flights linked to the hotel stay, along with the total discounted package price.
Pipelines can be configured for daily batch runs or intra-day execution for highly volatile routes. Real-time streaming is available for targeted route lists.
Yes. We monitor 'Ventes Flash' campaigns, capturing the original price, the discounted price, and the exact countdown timer for the offer validity.
Our smallest packages start at a defined route or property list with weekly delivery. For larger catalogues, we price based on volume and delivery frequency.
Yes. We provide a sample run of up to 50 routes or properties as part of the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off hotel catalogue dump or a continuous price-monitoring feed across 50,000 routes, we scope, build, and operate the pipeline. Tell us what you need.
