Deutsche Bahn Train Times, Fares & Routes Scraper

Here is one real result, with every field the actor returns (the fares array is trimmed from 11 entries to 4 here for readability; the actor returns all of them):

{
  "from": "Berlin Hbf",
  "to": "München Hbf",
  "departure": "2026-08-11T08:36:00",
  "arrival": "2026-08-11T12:46:00",
  "durationMinutes": 250,
  "transfers": 0,
  "trainTypes": ["ICE"],
  "trains": ["ICE 1005"],
  "price": 103.99,
  "currency": "EUR",
  "priceClass": "KLASSE_2",
  "departurePlatform": "4",
  "arrivalPlatform": "22",
  "operators": ["DB Fernverkehr AG"],
  "amenities": ["Bordrestaurant", "ICE Sprinter", "Komfort Check-in verfügbar"],
  "occupancy": [
    { "class": "1st", "level": 1, "text": "Geringe Auslastung erwartet" },
    { "class": "2nd", "level": 2, "text": "Mittlere Auslastung erwartet" }
  ],
  "occupancyFirstClass": "Geringe Auslastung erwartet",
  "occupancySecondClass": "Mittlere Auslastung erwartet",
  "runsOn": "nicht täglich; 10. Aug bis 11. Okt 2026",
  "runsWeekdays": ["MO", "DI", "MI", "DO", "FR", "SA", "SO"],
  "legs": [
    {
      "from": "Berlin Hbf",
      "to": "München Hbf",
      "departure": "2026-08-11T08:36:00",
      "arrival": "2026-08-11T12:46:00",
      "train": "ICE 1005",
      "trainType": "ICE",
      "trainNumber": "1005",
      "direction": "München Hbf",
      "stops": 7,
      "departurePlatform": "4",
      "arrivalPlatform": "22",
      "operator": "DB Fernverkehr AG",
      "amenities": ["Bordrestaurant", "ICE Sprinter", "Komfort Check-in verfügbar"],
      "occupancySecondClass": "Mittlere Auslastung erwartet"
    }
  ],
  "notices": [],
  "fromExtId": "8098160",
  "toExtId": "8000261",
  "tripId": "c0a26fd4_3",
  "searchDate": "2026-08-11",
  "fares": [
    { "name": "Super Sparpreis", "class": "2nd", "price": 77.99, "currency": "EUR" },
    { "name": "Sparpreis", "class": "2nd", "price": 112.99, "currency": "EUR" },
    { "name": "Flexpreis", "class": "2nd", "price": 161.1, "currency": "EUR" },
    { "name": "Probe BahnCard 25", "class": "2nd", "price": 19.9, "currency": "EUR" }
  ],
  "cheapestFareName": "Probe BahnCard 25",
  "cheapestFarePrice": 19.9,
  "observedAt": "2026-08-10T14:18:23.098Z",
  "error": null
}

The most complete Deutsche Bahn connection scraper available. It returns every field bahn.de exposes for a train connection (times, duration, transfers, trains, platforms, operators, live occupancy and amenities), adds the full fare breakdown (Flexpreis, Sparpreis, Super Sparpreis and BahnCard offers) with the cheapest fare called out, and gives you route, date, time, class and transfer filters to target exactly the connections you need.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Quickstart
• Input reference
• Output reference
• Example output record
• Run via API and CLI
• Fetch results
• Billing and limits
• FAQ and troubleshooting

What it does

The actor searches bahn.de for train connections between two stations on a given date and time, then writes one normalized record per connection to the run's dataset. Each record carries departure and arrival times, duration, number of transfers, train types and numbers, platforms, operators, live occupancy per class, on-board amenities, and the day-of-week service pattern. Each connection is broken down into per-leg details in legs.

With withDetails on (the default), each connection is enriched with the full fare breakdown in fares (Flexpreis, Sparpreis, Super Sparpreis and BahnCard offers per class), and the cheapest available fare is surfaced as cheapestFareName and cheapestFarePrice. Missing source values are returned as null, never invented. The search covers Germany and connected European hubs such as Wien Hbf, Zürich HB, and Amsterdam Centraal.

Quickstart

Open the actor, paste this into the input, and press Run. It returns the 10 fastest Berlin to München connections tomorrow morning with full fare details.

{
  "fromStation": "Berlin Hbf",
  "toStation": "München Hbf",
  "time": "08:00",
  "searchType": "ABFAHRT",
  "travelClass": "KLASSE_2",
  "onlyFastConnections": true,
  "withDetails": true,
  "maxConnections": 10
}

fromStation and toStation are required. Leave date empty to search tomorrow. bahn.de sells tickets roughly 6 months ahead.

Input reference

Field	Type	Required	Default	Description	Example
fromStation	string	yes	(none)	Origin station or city.	Berlin Hbf
toStation	string	yes	(none)	Destination station or city.	München Hbf
date	string	no	tomorrow	Travel date in YYYY-MM-DD. Defaults to tomorrow when empty.	2026-09-01
time	string	no	08:00	Departure or arrival time in 24h HH:MM.	17:30
searchType	enum	no	ABFAHRT	Whether time is the desired departure (ABFAHRT) or arrival (ANKUNFT).	ANKUNFT
travelClass	enum	no	KLASSE_2	Travel class: KLASSE_2 (2nd) or KLASSE_1 (1st). Prices returned for the selected class.	KLASSE_1
maxTransfers	integer	no	(no limit)	Maximum transfers per connection.	1
onlyFastConnections	boolean	no	true	Return only the fastest connections (bahn.de "fast connections").	false
withDetails	boolean	no	true	Enrich each connection with the full fare breakdown and cheapest fare.	false
maxConnections	integer	no	10	Maximum number of connections to collect.	25

Output reference

One dataset item per connection. Types: string, number, integer, boolean, object, array, or null when the source value is absent.

Field	Type	Description
from	string	Resolved origin station name.
to	string	Resolved destination station name.
departure	string	Departure timestamp (local ISO, no zone).
arrival	string	Arrival timestamp (local ISO, no zone).
durationMinutes	integer	Total travel time in minutes.
transfers	integer	Number of transfers on the connection.
trainTypes	string[]	Train categories used, for example ICE, IC, RE.
trains	string[]	Train names/numbers used, for example ICE 1005.
price	number	Headline price for the selected class.
currency	string	Price currency, usually EUR.
priceClass	string	Class the price applies to (KLASSE_1/KLASSE_2).
departurePlatform	string	Platform at the origin, or null.
arrivalPlatform	string	Platform at the destination, or null.
operators	string[]	Operating companies, for example DB Fernverkehr AG.
amenities	string[]	On-board amenities, for example Bordrestaurant.
occupancy	object[]	Live occupancy per class with class, level, and text.
occupancyFirstClass	string	1st class occupancy text, or null.
occupancySecondClass	string	2nd class occupancy text, or null.
runsOn	string	Human-readable service period text.
runsWeekdays	string[]	Weekday codes the connection runs on (MO..SO).
fares	object[]	Full fare breakdown (with withDetails): each has name, class, price, currency.
cheapestFareName	string	Name of the cheapest available fare, or null.
cheapestFarePrice	number	Price of the cheapest available fare, or null.
legs	object[]	Per-leg breakdown: stations, times, train, platforms, operator, stops, amenities, occupancy.
notices	array	Service notices/warnings for the connection.
fromExtId	string	bahn.de external station ID for the origin.
toExtId	string	bahn.de external station ID for the destination.
tripId	string	bahn.de trip identifier for the connection.
searchDate	string	Date searched (YYYY-MM-DD).
observedAt	string	ISO 8601 timestamp of when the record was collected.
error	string	null on success. On a failed run, a single item with a populated error field is written instead.

Example output record

Real record from a live run (input {"fromStation": "Berlin Hbf", "toStation": "München Hbf", "withDetails": true, "maxConnections": 10}), with fares trimmed to 2 entries for brevity:

{
  "from": "Berlin Hbf",
  "to": "München Hbf",
  "departure": "2026-08-11T08:36:00",
  "arrival": "2026-08-11T12:46:00",
  "durationMinutes": 250,
  "transfers": 0,
  "trainTypes": ["ICE"],
  "trains": ["ICE 1005"],
  "price": 103.99,
  "currency": "EUR",
  "priceClass": "KLASSE_2",
  "departurePlatform": "4",
  "arrivalPlatform": "22",
  "operators": ["DB Fernverkehr AG"],
  "amenities": ["Bordrestaurant", "ICE Sprinter", "Komfort Check-in verfügbar"],
  "occupancySecondClass": "Mittlere Auslastung erwartet",
  "runsWeekdays": ["MO", "DI", "MI", "DO", "FR", "SA", "SO"],
  "fares": [
    { "name": "Super Sparpreis", "class": "2nd", "price": 77.99, "currency": "EUR" },
    { "name": "Probe BahnCard 25", "class": "2nd", "price": 19.9, "currency": "EUR" }
  ],
  "cheapestFareName": "Probe BahnCard 25",
  "cheapestFarePrice": 19.9,
  "tripId": "c0a26fd4_3",
  "searchDate": "2026-08-11",
  "observedAt": "2026-08-10T14:18:23.098Z",
  "error": null
}

Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~deutsche-bahn-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"fromStation":"Berlin Hbf","toStation":"München Hbf","time":"08:00","withDetails":true,"maxConnections":10}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~deutsche-bahn-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"fromStation":"Hamburg","toStation":"Amsterdam Centraal","date":"2026-09-01","travelClass":"KLASSE_1"}'

Apify CLI:

apify call scrapers_lat/deutsche-bahn-scraper \
  --input '{"fromStation":"Köln Hbf","toStation":"Frankfurt(Main)Hbf"}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. Use offset and limit to page through large result sets. clean=true drops empty and internal fields.

Billing and limits

• Pay per result. You are charged per connection record returned (result event). See the pricing tab for the current per-result price.
• Fare details add-on. When withDetails is on and the fare breakdown is fetched, a small details charge applies per enriched connection. Turn withDetails off to skip it.
• No charge on failure. If a run errors or no connections are found, the actor writes a single item with a populated error field and does not charge for it. Empty runs cost nothing.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results.
• Free Apify plans are capped at 10 connections per run. Upgrade for higher maxConnections.

FAQ and troubleshooting

A run returned "Station not found". Why? The station name could not be resolved. Use the bahn.de station spelling, for example Berlin Hbf, München Hbf, or Frankfurt(Main)Hbf.

Why is the price different from what I see on bahn.de? price is the headline fare for the selected class at search time. Fares change with demand and availability. The full breakdown is in fares, with the lowest surfaced as cheapestFareName / cheapestFarePrice.

Can I search by arrival time instead of departure? Yes. Set searchType to ANKUNFT and time becomes the desired arrival time.

How far ahead can I search? bahn.de sells tickets roughly 6 months ahead. Dates beyond that return no connections.

Does it cover trains outside Germany? It covers connections that bahn.de sells, including European hubs such as Wien Hbf, Zürich HB, and Amsterdam Centraal.

Is this an official Deutsche Bahn tool? No. This actor is independent and has no affiliation with Deutsche Bahn. It reads only data that is publicly available on bahn.de. Use it in accordance with the source's terms.

Related scrapers

• FlixBus Scraper: Bus routes, times, and fares.
• Ryanair Flights Scraper: Ryanair flight fares and schedules.
• Wizz Air Flights Scraper: Wizz Air flight fares and schedules.
• Booking Hotels Scraper: Hotel availability and prices.
• Open-Meteo Weather Scraper: Weather forecasts by location.
• Eventbrite Scraper: Event listings and details.

More scrapers at scrapers.lat

Built and maintained by scrapers.lat, where we publish scrapers for US and Latin American public platforms: company registries, government data, finance, e-commerce and more. Browse the catalog or request a custom scraper at scrapers.lat.

---

Independent tool, not affiliated with Deutsche Bahn. Accesses only publicly available bahn.de data. Use in accordance with the source's terms of service.