We extract multi-modal routes, operator schedules, transit durations, and price estimates from Rome2Rio. 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 Route Summaries objects from rome2rio.com. All fields typed and schema-versioned.
"origin": "London, UK", "destination": "Paris, France", "transport_modes": "['Train']", "total_duration_minutes": 136, "total_distance_km": 344.5, "min_price": 54.0, "max_price": 180.0, "currency": "GBP", "co2_emissions_kg": 4.2
| # | origin | destination | transport_modes | total_duration_minutes | total_distance_km | min_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Transit Segments objects from rome2rio.com. All fields typed and schema-versioned.
"route_id": "LON-PAR-01", "segment_index": 1, "transport_mode": "Train", "operator_name": "Eurostar", "departure_station": "St Pancras International", "arrival_station": "Paris Gare Du Nord", "duration_minutes": 136, "frequency": "Hourly"
| # | route_id | segment_index | transport_mode | operator_name | departure_station | arrival_station |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Operator Details objects from rome2rio.com. All fields typed and schema-versioned.
"operator_id": "OP-9021", "operator_name": "Eurostar", "operator_type": "Train", "booking_url": "https://www.eurostar.com", "website": "eurostar.com", "rating": 4.2, "review_count": 14209, "scraped_at": "2026-05-12T09:14:00Z"
| # | operator_id | operator_name | operator_type | booking_url | phone_number | website |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Flight Schedules objects from rome2rio.com. All fields typed and schema-versioned.
"airline": "British Airways", "flight_number": "BA 304", "departure_airport_code": "LHR", "arrival_airport_code": "CDG", "duration_minutes": 75, "price_estimate": 85.0, "days_of_week": "['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']"
| # | airline | flight_number | departure_airport_code | arrival_airport_code | departure_time | arrival_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Station Geodata objects from rome2rio.com. All fields typed and schema-versioned.
"station_id": "ST-4421", "station_name": "St Pancras International", "station_type": "Train Station", "city": "London", "country": "UK", "latitude": 51.5314, "longitude": -0.1261, "timezone": "Europe/London"
| # | station_id | station_name | station_type | city | country | latitude |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Rome2Rio scraper handles complex client-side rendering and intercepts internal JSON payloads to extract precise routing, pricing, and operator data without relying on fragile DOM parsing.
Map flights, trains, buses, ferries, and driving routes end-to-end. Capture exact transfer points and layover durations.
Capture minimum and maximum pricing estimates across different transit modes and operators, normalising currencies on the fly.
Extract transit operators, booking links, agency contact details, and fleet type information for every segment.
Capture departure frequencies, timetable metadata, and seasonal operating variations for regional transit.
Extract precise latitude and longitude for stations, airports, and bus stops to power internal mapping tools.
Extract CO2 emission estimates per route and transit mode for ESG reporting and carbon accounting.
Capture direct booking URLs and referral links for third-party operators and accommodation providers.
Extract exact transfer times, walking distances between terminals, and transit wait times.
Spoof IP and headers to capture geo-specific pricing, availability, and localised transit options.
Run one-off bulk exports or configure continuous pipelines at defined cadences to track seasonal route changes.
Brief in. Clean data out.
Provide lists of origin-destination pairs, specific regions, or transit operators. We design the extraction schema together.
We configure Playwright crawlers, XHR interception rules, proxy rotation, and CAPTCHA handling for rome2rio.com.
Schema validation, null-rate checks, coordinate verification, and sample routes before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Rome2Rio relies heavily on dynamic client-side rendering and hidden API endpoints. Here is how we maintain pipeline stability.
Rome2Rio renders complex map interfaces that are notoriously difficult to scrape via DOM parsing. We use Playwright to execute the JavaScript application while intercepting the underlying JSON XHR responses, capturing structured transit graphs directly from the source.
Transit aggregators monitor request velocity and flag data centre IPs. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass rate limits and WAF protections.
Prices and route availability change based on the user's location. We route requests through region-specific proxy pools to capture accurate, localised pricing and operator data for any target market.
Rome2Rio frequently updates its internal API structures. We map the intercepted JSON payloads to a normalised relational schema, absorbing upstream changes without breaking your downstream data ingestion.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing coordinate data, and coverage drops, responding before you notice any degradation in data quality.
Integrate multi-modal options into existing OTA platforms to offer complete door-to-door itineraries.
Map transit times, distances, and route alternatives for freight planning and supply chain optimisation.
Use CO2 estimates across different transport modes for corporate ESG reporting and sustainability audits.
Transit operators and regional airlines monitor competitor pricing, frequencies, and route expansions.
Urban planners and academic researchers analyze regional connectivity, transit gaps, and infrastructure dependency.
Correlate route demand, seasonality, and alternative transport costs to build dynamic pricing algorithms.
"Rome2Rio maps the world's transport infrastructure into a single graph, but extracting that multi-modal data requires intercepting complex client-side XHR payloads."
Most transit scrapers fail because they attempt to parse DOM elements on map-heavy single page applications. DataFlirt bypasses the visual layer entirely, intercepting and normalising the underlying JSON payloads. We handle the residential proxy rotation and session tokens required to keep the pipeline stable, delivering clean route graphs directly to your warehouse.
Everything supported by our rome2rio.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.
We run headless Playwright browsers integrated with mitmproxy to capture and parse the raw JSON payloads driving the Rome2Rio frontend, ensuring perfect data fidelity.
We maintain pools of residential ISP proxies across multiple regions. Rotation happens per-request to bypass rate limits and capture localised pricing data accurately.
Raw transit data is heavily nested. We flatten and normalise the JSON payloads into relational schemas using PostgreSQL and PostGIS before delivery to your warehouse.
Data delivered to where your team already works — no new tooling required.
About rome2rio.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available, non-authenticated routing and pricing data is generally permissible. DataFlirt targets only public transit estimates and operator details. We do not extract personal data or circumvent authentication walls.
We do not parse the DOM or interact with the map canvas. We use Playwright and network interception to capture the structured JSON payloads that Rome2Rio's backend sends to the frontend.
Rome2Rio provides price estimates based on historical data and operator feeds, not live GDS inventory. The data we extract reflects these estimates exactly as presented on the platform.
Yes. You provide a list of origin and destination pairs, specific cities, or entire countries, and we configure the pipeline to map all transit connections between those nodes.
Data freshness depends on your pipeline configuration. We can run daily, weekly, or monthly sweeps across your target routes to capture seasonal schedule changes and operator updates.
Yes. We extract the CO2 emission estimates provided for each route and transit mode, which is highly useful for corporate ESG reporting and carbon footprint calculators.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need point-to-point route mapping or global transit operator intelligence, we scope, build, and operate the pipeline. Tell us what you need.
