We extract train schedules, fare class pricing, seat availability, and station intelligence from Italo. 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 Schedules & Routes objects from italo.it. All fields typed and schema-versioned.
"train_number": "9924", "departure_station": "Roma Termini", "arrival_station": "Milano Centrale", "departure_time": "2024-05-12T08:15:00", "arrival_time": "2024-05-12T11:25:00", "duration": "190"
| # | train_number | departure_station | arrival_station | departure_time | arrival_time | duration |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fare Pricing objects from italo.it. All fields typed and schema-versioned.
"class_name": "Prima", "fare_type": "Economy", "price": 64.9, "currency": "EUR", "available_seats": 12, "refundable": false
| # | train_number | date | class_name | fare_type | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Station Intelligence objects from italo.it. All fields typed and schema-versioned.
"station_code": "ROMATER", "station_name": "Roma Termini", "city": "Rome", "lounge_available": true, "fast_track": true, "connection_types": "Metro, Bus, Taxi"
| # | station_code | station_name | city | region | latitude | longitude |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Availability & Capacity objects from italo.it. All fields typed and schema-versioned.
"train_number": "8920", "date": "2024-05-12", "smart_available": 45, "prima_available": 8, "club_available": 0, "sold_out_flag": false
| # | train_number | date | route | total_capacity | smart_available | prima_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Promotions & Offers objects from italo.it. All fields typed and schema-versioned.
"offer_name": "Italo Famiglia", "discount_pct": 50, "conditions": "Min 1 adult, max 3 children", "valid_to": "2024-12-31", "applicable_classes": "Smart, Prima", "applicable_routes": "All"
| # | offer_id | offer_name | discount_pct | absolute_discount | conditions | valid_from |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Italo scraper handles every layer of the platform: train schedules, dynamic pricing, fare classes, and seat availability — with JavaScript rendering, session management, and anti-bot circumvention built in.
Departure times, arrival times, durations, and intermediate stops for all active train services.
Capture pricing across Smart, Prima, Club Executive, and Salotto classes. Timestamped for trend analysis.
Track seat availability per fare class to model demand and sell-out velocity.
Extract valid station pairs, connection matrices, and travel times across the Italian rail network.
Test known promotional codes against specific routes to map discount applicability.
Handle booking engine session tokens and cookies to maintain continuous query state.
Use Italian residential IPs to view localised pricing and avoid regional blocking.
Query rolling booking windows 30, 60, and 90 days out to build future pricing curves.
Hash-based diffing to only emit records when train schedules or prices change.
Brief in. Clean data out.
Provide station pairs, travel date ranges, and target fare classes. We design the extraction schema.
We configure Playwright crawlers, Italian residential proxies, and session handlers for italo.it.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket or warehouse on agreed cadence.
Italo invests heavily in scraping detection. Here's how we stay resilient — and why teams choose managed infrastructure over DIY.
Italo's search requires valid session tokens generated via initial XHR requests. We handle token negotiation and cookie persistence automatically.
Pricing data is loaded via complex JSON payloads, not static HTML. We intercept the underlying API calls to extract clean, structured fare matrices.
Aggressive schedule polling triggers IP bans. We distribute requests across thousands of residential Italian IPs with realistic request delays.
Basic HTTP clients fail bot checks. We run full browser sessions to execute JavaScript challenges and solve CAPTCHAs via CapSolver.
We map Italo's internal station codes and fare typologies to a clean, normalised schema ready for immediate warehouse ingestion.
Travel aggregators and competing transport operators track Italo's pricing curves to adjust their own yield management algorithms.
Hedge funds and alternative data buyers monitor seat availability over time to predict passenger volumes and revenue.
OTA platforms ingest raw schedule and pricing data to power multi-modal travel search engines.
Large enterprises track historical ticket prices to optimise their corporate travel procurement and booking windows.
Tour operators combine real-time rail data with hotel availability to create dynamic holiday packages.
Urban planners and logistics firms analyse route frequency and capacity to model regional mobility.
"High-speed rail pricing is as dynamic as airline fares. Capturing Italo's yield management strategies requires continuous, stateful polling."
Extracting train schedules and fares at scale means navigating complex booking engines, session tokens, and aggressive rate limits. DataFlirt manages the proxy rotation, session handling, and API interception required to deliver clean transport data, allowing your data engineering team to focus on yield analysis.
Everything supported by our italo.it scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
We intercept Italo's internal booking APIs, managing session tokens and X-CSRF headers to extract structured fare matrices directly.
Requests are routed through Italian residential ISP proxies to ensure localised pricing and bypass regional rate limits.
Pipelines run on Kubernetes. Airflow handles multi-date sweep scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About italo.it scraping, legality, and pipeline operations.
Ask us directly →Scraping public schedules and prices is generally permissible for non-commercial or analytical use. We do not extract PII or bypass authentication walls.
Our Playwright workers automatically negotiate new session tokens and cookies when the booking engine rejects a request.
Yes. The pipeline extracts distinct pricing for Smart, Prima, Club Executive, and Salotto across all available fare types.
We can poll dates as far out as Italo's booking engine allows, typically 90 to 120 days in advance.
We can configure high-frequency polling for specific high-value routes to capture availability changes within minutes.
We utilise extensive pools of Italian residential proxies, rate-limiting our requests to mimic human browsing patterns.
Pipelines start with a defined set of station pairs and polling frequencies. Contact us for a scoped quote based on your volume.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily schedule updates or continuous price tracking across the Italian rail network — we scope, build, and operate the pipeline. Tell us what you need.
