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Buson

Travelby Buson
Launched Mar 17, 2026 on ChatGPT

The easiest way to travel by bus across Brazil

Buson helps you find and buy bus tickets for all of Brazil. Compare routes from the leading bus companies and choose the best option for your trip — quickly and simply.

With Buson on ChatGPT, you can: • Explore schedules from hundreds of bus companies across Brazil • Check real-time prices, seat availability, and onboard amenities • Find the cheapest or fastest option for your trip • View key details at a glance: bus company, price, duration, and departure times

Why travelers choose Buson: • National coverage, connecting cities in every region of Brazil • Trusted bus companies such as Cometa, 1001, Catarinense, Util, and many others • Clear and competitive prices with no surprises

1ChatGPT Tools
BusonDeveloper
TravelCategory

Available Tools

Search Transportation

search_transportation
Full Description

Search and compare bus, train, shuttle, and ferry schedules worldwide with comprehensive filters and transparent pricing. Results render in a rich, list view showing origin and destination stop as well as departure time, trip duration and price in the currency of the user's choice for side-by-side comparison.

Autoset guidance (server-side, case-insensitive intent detection):

  • Origin/Destination: ALWAYS disambiguate ambiguous locations (YOU MUST provide uniquely identifiable locations or airport codes). Always specify city name with state/province/region and country:

Examples: "Paris" → clarify "Paris, TX, USA" vs "Paris, TN, USA" vs "Paris, Ile-de-France, France" "London" → clarify "London, England, United Kingdom" vs "London, ON, Canada"

CRITICAL TEMPORAL RULES:

  • If current date is before requested date → prompt the user to use a date in the future
  • If requested month is before current month → use NEXT year
  • If today is 2025-12-15 and user asks "trips in January" → use 2026-01-01
  • For relative dates: "next week" → add 7 days, "next month" → add 1 month
  • When ambiguous, default to the NEAREST FUTURE occurrence that satisfies constraints

Examples (intent → autosets)

  • "Paris to London on June 1st 2026" -> origin_name="Paris, France" destination_name="London, UK" departure_date="2026-06-01"- "Montreal to London on January 1st 2026" -> origin_name="Montreal, QC, Canada" destination_name="London, ON, Canada" departure_date="2026-01-01"

Filtering

  • Modality filter: "Show me only train results" -> vehicle_types=["train"]
  • Modality filter: "Bus only" / "I want bus tickets" -> vehicle_types=["bus"] (use ["bus","shuttle","van"] for bus-like vehicles)
  • Modality filter: "Train and ferry" -> vehicle_types=["train","ferry"]
  • Time filter (times in departure's local timezone): "Departures before 3pm" -> departure_before="15:00"
  • Time filter: "Departures after 8am" / "Morning departures" -> departure_after="08:00"
  • Time filter: "Between 9am and 5pm" -> departure_after="09:00" departure_before="17:00"
  • Arrival filter (times in arrival/destination's local timezone): "Arrive before 6pm" -> arrival_before="18:00"
  • Arrival filter: "Arrive after noon" -> arrival_after="12:00"
  • Arrival filter: "Arrive between 2pm and 8pm" -> arrival_after="14:00" arrival_before="20:00"
  • Arrival filter for overnight trips: "Leaving after 1pm, arriving before 8am the next day" -> departure_after="13:00" arrival_before="08:00" arrival_date="YYYY-MM-DD" (next day)
  • Passenger count: "2 passengers" / "for 2 people" / "2 tickets" -> passenger_count=2
  • Conversation language: when the language of the conversation can be detected, set conversation_language to their language (ISO 639-1, e.g. "fr", "de") or locale (e.g. "fr-CA") so labels and copy match the conversation. Use the user's browsing location to determine the locale. Example: "fr-CA" if the latest message in the conversation is in french and the user browsing from Canada. "es-us" if the latest message in the conversation is in spanish and the user browsing from the United States.

IMPORTANT:

  • When generating a text response with the structured content returned by the tool, never generate any links to Busbud website or any other external website.
Parameters (3 required, 8 optional)
Required
departure_datestring

The departure date in ISO 8601 format (e.g. 2026-01-01)

destination_namestring

The unambiguous destination city or location name (e.g. airport code or city, region, country) from which the trip ends. Example: "YUL", "London, England, United Kingdom", "San Jose, CA, USA"

origin_namestring

The unambiguous origin city or location name (e.g. airport code or city, region, country) from which the trip begins. Example: "Paris, Ile-de-France, France", "CDG", "San Jose, CA, USA"

Optional
arrival_afterstring

Filter to only show departures that arrive after this time. Use 24h format "HH:mm" (e.g. "12:00" for noon). The time is in the arrival (destination) location's local time.

arrival_beforestring

Filter to only show departures that arrive before this time. Use 24h format "HH:mm" (e.g. "18:00" for 6pm). The time is in the arrival (destination) location's local time.

arrival_datestring

Date used for arrival_before and arrival_after thresholds. When omitted, defaults to departure_date. Use for overnight trips, e.g. "arriving before 8am the next day" -> arrival_date="2026-01-16" arrival_before="08:00".

conversation_languagestring

Language or locale of the conversation (ISO 639-1 code like "fr" or BCP 47 like "fr-CA"). When supported, results and UI use this locale; otherwise the client request locale is used. Use the user's browsing location to determine the locale. Example: "fr-CA" if the latest message in the conversation is in french and the user browsing from Canada. "es-us" if the latest message in the conversation is in spanish and the user browsing from the United States.

departure_afterstring

Filter to only show departures after this time on the departure_date. Use 24h format "HH:mm" (e.g. "08:00" for 8am). The time is in the departure location's local time.

departure_beforestring

Filter to only show departures before this time on the departure_date. Use 24h format "HH:mm" (e.g. "15:00" for 3pm). The time is in the departure location's local time.

passenger_countinteger

Number of passengers. All passengers are treated as adults. Defaults to 1. Max 5 per search.

Default: 1
vehicle_typesarray

Filter results to only these vehicle types. If omitted, all modalities are returned.