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Flixbus connection scraper

Search bus connections via the Flixbus API and get back a structured dataset of routes, times, leg-by-leg breakdowns, and prices.

What it does

Given a departure city, a destination, and an optional date, the actor:

1. Resolves the city names to Flixbus city IDs via the Flixbus autocomplete endpoint.
2. Calls the Flixbus connection-search API for the requested date.
3. Walks forward day by day until enough connections are collected or the day-scan cap is hit.

For each connection you get:

• Departure and arrival as ISO 8601 timestamps with timezone offsets
• Total travel time in minutes
• Number of transfers
• Per-leg breakdown: ride ID, from/to station + city, departure / arrival, operator, brand, amenities
• Total price and price including the Flixbus platform fee, in the requested currency
• Seat availability and whether bikes can be booked

Inputs

Example input

{
"from":"Prague",
"to":"Berlin",
"date":"2026-05-20",
"adults":1,
"currency":"EUR",
"onlyDirectConnections":true,
"maxResults":20
}

Output

Each item in the dataset describes one connection.

Example item

{
"id":"direct:93d81544-1986-4a6d-a112-162812c4ff17:9b6adf5b-3ecb-11ea-8017-02437075395e:dcbb994f-9603-11e6-9066-549f350fcb0c",
"from":"Prague ÚAN Florenc",
"to":"Berlin Südkreuz",
"fromCity":"Prague",
"toCity":"Berlin",
"departure":"2026-05-20T01:00:00+02:00",
"arrival":"2026-05-20T05:50:00+02:00",
"timeLengthMinutes":290,
"changesCount":0,
"transferType":"Direct",
"status":"available",
"provider":"flixbus",
"legs":[
{
"rideId":"93d81544-1986-4a6d-a112-162812c4ff17",
"from":"Prague ÚAN Florenc",
"to":"Berlin Südkreuz",
"fromCity":"Prague",
"toCity":"Berlin",
"departure":"2026-05-20T01:00:00+02:00",
"arrival":"2026-05-20T05:50:00+02:00",
"timeLengthMinutes":290,
"meansOfTransport":"bus",
"operator":"FlixBus DACH GmbH",
"brand":"FlixBus",
"amenities":["WIFI","POWER_SOCKETS"]
}
],
"price":22.49,
"priceWithPlatformFee":26.48,
"currency":"EUR",
"seatsAvailable":59,
"bikesAllowed":true
}

price is in the currency requested via the currency input; null means the price could not be retrieved. changesCount is 0 for direct, single-leg connections.

Pricing

The actor uses Apify pay-per-event pricing — one search-result event is charged for every connection pushed to the dataset.

Agentic use

The actor is built for use by AI agents:

• Structured input schema. Every input has a title, type, description, and validation rules.
• Structured output schema. Each dataset item has a stable, typed shape — agents can read fields like departure, price, or changesCount without parsing prose.
• ISO timestamps. Departures and arrivals are emitted as ISO 8601 strings with the original timezone offset, ready to be diffed, sorted, or compared.
• Numeric quantities. timeLengthMinutes, changesCount, price are numbers, not formatted strings — no parsing required.
• Predictable output. Connections are returned in chronological order; duplicates are removed.
• Event-level cost control. Pay-per-event billing means an agent that sets a small maxResults pays only for what it consumes.

Typical agent prompts that map cleanly onto this actor:

• "Find the cheapest Flixbus from Prague to Berlin tomorrow."
• "How long does the direct Flixbus from Berlin to Madrid take?"
• "List all direct overnight Flixbus rides from London to Paris in the next two weeks."