We extract train timetables, dynamic ticket pricing, Frecce routes, regional connections, and real-time delay metrics from Trenitalia. 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 Train Schedules objects from trenitalia.com. All fields typed and schema-versioned.
"train_number": "FR 9514", "train_type": "Frecciarossa", "departure_station": "Roma Termini", "arrival_station": "Milano Centrale", "departure_time": "2026-06-15T08:00:00Z", "arrival_time": "2026-06-15T11:15:00Z", "duration_minutes": 195, "train_category": "High Speed"
| # | train_number | train_type | departure_station | arrival_station | departure_time | arrival_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Fares & Pricing objects from trenitalia.com. All fields typed and schema-versioned.
"train_number": "FR 9514", "fare_class": "Standard", "ticket_type": "Super Economy", "price": 39.9, "currency": "EUR", "availability_status": "Low", "refundable": false, "exchangeable": false
| # | train_number | fare_class | ticket_type | price | currency | availability_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route Network objects from trenitalia.com. All fields typed and schema-versioned.
"route_id": "RT_RM_MI_01", "origin_code": "830008409", "destination_code": "830001700", "distance_km": 570, "region": "Lazio to Lombardy", "operator": "Trenitalia", "electrification": "25kV AC"
| # | route_id | origin_code | destination_code | distance_km | intermediate_stops_list | region |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Real-Time Status objects from trenitalia.com. All fields typed and schema-versioned.
"train_number": "IC 580", "current_station": "Firenze Santa Maria Novella", "delay_minutes": 12, "status": "Delayed", "last_updated": "2026-05-12T14:32:00Z", "platform_actual": "14", "platform_planned": "12", "next_stop": "Bologna Centrale"
| # | train_number | current_station | delay_minutes | status | last_updated | platform_actual |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Station Directory objects from trenitalia.com. All fields typed and schema-versioned.
"station_code": "830008409", "station_name": "Roma Termini", "city": "Rome", "region": "Lazio", "latitude": 41.9014, "longitude": 12.5005, "accessibility": true, "connection_types": "['Metro', 'Bus', 'Taxi']"
| # | station_code | station_name | city | region | latitude | longitude |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Trenitalia scraper handles every layer of the platform: high-speed schedules, regional connections, dynamic pricing tiers, and real-time disruption data - with session management and anti-bot circumvention built in.
Departure times, arrival times, durations, and intermediate stops for all Frecciarossa, Frecciargento, Frecciabianca, Intercity, and Regionale trains.
Capture Base, Economy, and Super Economy pricing across Standard, Premium, Business, and Executive classes.
Extract low-availability warnings and sold-out statuses to model demand curves and booking velocity.
Track active train status, delay minutes, platform changes, and disruption notices across the Italian network.
Resolve complex itineraries requiring transfers between high-speed and regional lines with accurate layover times.
Extract exact station coordinates, facility lists, accessibility options, and local transit connections.
Monitor special offers like Me&You, Insieme, and weekend discounts applied to specific routes and dates.
Run one-off bulk exports of future timetables or configure continuous pipelines at hourly cadences for pricing updates.
Track Eurocity and Euronight services connecting Italy to Switzerland, Austria, Germany, and France.
Brief in. Clean data out.
Provide station codes, route pairs, or specific train numbers. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, Italian proxy rotation, session management, and rate-limit handling for trenitalia.com.
Schema validation, null-rate checks, price-outlier detection, and sample routes before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Trenitalia employs strict rate limits and complex search session states. Here is how we stay resilient - and why teams choose managed infrastructure over DIY.
Trenitalia search results rely on temporary session tokens and stateful requests. Our crawlers manage these token lifecycles automatically, ensuring deep pagination and multi-leg journey resolution without session drops.
Trenitalia aggressively rate-limits datacenter IPs and blocks non-European traffic. Our infrastructure routes requests through ISP-grade residential proxies in Italy, mimicking legitimate commuter search behaviour.
Trenitalia uses internal station IDs that often differ from public codes. We map and maintain a complete dictionary of these identifiers, ensuring your queries match the correct origin and destination every time.
For large schedule catalogues, we maintain a hash index of last-seen values per route. Subsequent runs only push diffs - reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing price tiers, and coverage drops - and respond before you notice. SLA uptime is contractual.
Online travel agencies ingest real-time schedules and pricing to display comprehensive Italian rail options alongside flights and hotels.
Competing transport operators monitor Frecce pricing tiers to adjust their own bus or airline fares dynamically.
Business travel tools sync schedules to offer employees compliant booking options based on corporate policies.
Logistics and travel insurance firms track real-time train delays to trigger automatic rebooking or compensation workflows.
Urban planners and consultants analyse regional train frequencies and travel times to model transit connectivity.
Revenue management teams correlate seat availability signals with seasonal trends to predict peak travel periods.
"Trenitalia operates one of Europe's densest rail networks, but accessing its schedule and pricing variations programmatically requires navigating strict rate limits and complex session states."
Most teams underestimate the investment required: reliable Trenitalia scraping requires residential proxies in Italy, session token management for search flows, and constant maintenance against timetable updates. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our trenitalia.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 crawl orchestration and retry logic. Playwright handles complex search forms, session tokens, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies specifically in Italy. Rotation happens per-request with sticky sessions where required to maintain search state.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 trenitalia.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available schedule and pricing information is generally permissible. DataFlirt targets only public, non-authenticated timetable and fare data. We do not extract personal passenger data, circumvent authentication walls, or violate GDPR. Clients should review Trenitalia terms of service and consult legal counsel for specific use cases.
We use Italian residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our infrastructure manages session tokens carefully to avoid triggering anti-bot protections.
Yes. We can poll specific train numbers or station departure boards at high frequency to capture delay minutes, platform changes, and disruption notices.
Trenitalia only displays future schedules and real-time status. Historical data is available from the day your pipeline is commissioned, as we maintain a time-series record of all extractions.
Our smallest packages start at a defined set of station pairs (typically 50-200 routes) with daily delivery. For comprehensive national coverage or high-frequency pricing updates, we price based on volume and compute requirements.
Absolutely. We provide a sample run of up to 20 routes as part of the pre-engagement scoping process - so you can validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off schedule dump or a continuous price-monitoring feed across 10,000 routes - we scope, build, and operate the pipeline. Tell us what you need.
