Search Google Flights programmatically. Real prices, typed results, no API key.
Project description
swoop
Search Google Flights programmatically. Real prices, typed results, no API key.
from swoop import search
results = search("JFK", "LAX", "2026-06-15")
for flight in results.best:
airline = ", ".join(flight.airline_names)
print(f"${flight.price} — {airline}")
[!NOTE] Swoop is not affiliated with Google. It calls undocumented RPC endpoints that can change without notice.
Swoop calls Google Flights' internal GetShoppingResults and GetBookingResults RPC endpoints — the same ones the web app uses when you search for flights. Requests use TLS fingerprint impersonation via primp to match a real browser session. Responses are deeply nested lists (matching an internal protobuf schema) decoded into typed Python dataclasses.
Perch uses Swoop in production to monitor booked flights for price drops, saving users an average of $247 per trip.
Install
pip install swoop-flights
# With CLI (adds `swoop` command)
pip install swoop-flights[cli]
CLI
# Search flights
swoop search JFK LAX 2026-06-15
# Nonstop, sorted by price
swoop search JFK LAX 2026-06-15 --nonstop --sort cheapest
# Roundtrip, business class
swoop search JFK LAX 2026-06-15 -r 2026-06-22 --cabin business
# JSON output for piping
swoop search JFK LAX 2026-06-15 -o json -q | jq '.results[0].price_usd'
# See fare tiers for search result #1
swoop book 1 JFK LAX 2026-06-15
More CLI examples
# Look up a specific flight
swoop flight DL2300 -f JFK -t LAX -d 2026-06-15
# CSV for spreadsheets
swoop search JFK LAX 2026-06-15 -o csv -q > flights.csv
# Filter by airline and time window
swoop search JFK LAX 2026-06-15 -a DL -a UA --depart-after 8 --depart-before 14
Run swoop search --help for all options.
Python API
One-way search
from swoop import search
results = search("SFO", "JFK", "2026-06-15")
# results.best — top-ranked flights
# results.other — remaining flights
for flight in results.best:
print(f"${flight.price}")
print(f" {flight.departure_airport} → {flight.arrival_airport}")
print(f" {flight.airline_names}, {flight.stop_count} stops")
print(f" {flight.travel_time} min total")
More examples
Roundtrip search
results = search("SFO", "JFK", "2026-06-15", return_date="2026-06-22")
# Price in results is the roundtrip total
Cabin class and filters
from swoop import search, SORT_CHEAPEST
results = search(
"LAX", "NRT", "2026-06-15",
cabin="business", # economy, premium-economy, business, first
max_stops=0, # nonstop only
sort=SORT_CHEAPEST, # cheapest first
airlines=["NH", "JL"], # filter to specific carriers
earliest_departure=8, # depart after 8am
latest_departure=14, # depart before 2pm
)
Booking details (fare options)
from swoop import search, get_booking_results
results = search("JFK", "LAX", "2026-06-15")
itinerary = results.best[0]
# Get fare tiers — just pass the itinerary
options = get_booking_results(itinerary)
for opt in options:
print(f"${opt.price} — {opt.brand_label} ({opt.fare_family})")
[!TIP] Google rate-limits aggressively. Use
retries=3in production — bothsearch()andget_booking_results()supportretriesandtimeoutparameters with exponential backoff.
How it works
Swoop reverse-engineers the FlightsFrontendService RPC interface that powers Google Flights. Search parameters are encoded as nested JSON arrays matching Google's internal protobuf schema, then sent as HTTP POST requests. The HTTP client uses TLS fingerprint impersonation (via primp) so requests are indistinguishable from a real Chrome session.
Responses arrive as deeply nested list structures — no field names, just positional indices. Swoop's decoder walks these structures and maps them to typed Python dataclasses (Itinerary, Flight, Layover, CarbonEmissions, etc.) with named attributes.
graph LR
A["search()"] --> B["RPC request"] --> C["Google Flights"] --> D["nested lists"] --> E["typed dataclasses"]
API reference
search(origin, destination, date, **kwargs)
Search Google Flights and return a SearchResult.
| Parameter | Type | Default | Description |
|---|---|---|---|
origin |
str |
required | Origin IATA code |
destination |
str |
required | Destination IATA code |
date |
str |
required | Departure date (YYYY-MM-DD) |
return_date |
str | None |
None |
Return date for roundtrip |
cabin |
str |
"economy" |
economy, premium-economy, business, first |
adults |
int |
1 |
Number of adults |
max_stops |
int | None |
None |
None=any, 0=nonstop, 1=1 stop, 2=2 stops |
sort |
int |
SORT_DEPARTURE_TIME |
Sort order constant |
airlines |
list[str] | None |
None |
Filter by airline codes |
include_basic_economy |
bool |
False |
Include basic economy fares (excluded by default so prices reflect Main Cabin) |
timeout |
int |
90 |
HTTP timeout in seconds |
retries |
int |
0 |
Retries on HTTP 429 with exponential backoff |
Returns SearchResult | None. None means no results found.
get_booking_results(itinerary_or_token, **kwargs)
Get fare options for a specific itinerary. Pass an Itinerary object directly, or a booking token string with explicit origin, destination, date, and selected_legs. Returns list[BookingOption] with price, brand_label, brand_code, fare_family, etc. BookingOption supports both attribute access (opt.price) and dict-style access (opt["price"], opt.get("price")).
Result types
SearchResult—best: list[Itinerary],other: list[Itinerary],price_range: PriceRange | NoneItinerary— Full itinerary withprice,flights,layovers,travel_time,booking_token,carbon_emissionsFlight— Segment details:airline,flight_number,aircraft,legroom,co2_grams,amenitiesLayover— Stop info:minutes, airports,is_overnightCarbonEmissions—this_flight_grams,typical_for_route_grams,difference_percent
Constants
| Constant | Value | Description |
|---|---|---|
SORT_TOP |
1 |
Google's default ranking |
SORT_CHEAPEST |
2 |
Cheapest first |
SORT_DEPARTURE_TIME |
3 |
By departure time |
SORT_ARRIVAL_TIME |
4 |
By arrival time |
SORT_DURATION |
5 |
Shortest first |
Error handling
All exceptions inherit from SwoopError. Catch SwoopRateLimitError for HTTP 429, SwoopHTTPError for other HTTP failures, and SwoopParseError for response decoding issues.
Contributing
Issues and pull requests welcome at github.com/saraswatayu/swoop.
License
MIT
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