swoop-flights 0.2.1

Google Flights price scraper. Search flights programmatically via the same RPC endpoints the web app uses.

swoop

Google Flights price scraper. Search flights programmatically using the same RPC endpoints the Google Flights web app uses.

from swoop import search

results = search("JFK", "LAX", "2026-06-01")
for flight in results.best:
    airline = ", ".join(flight.airline_names)
    print(f"${flight.price} — {airline}")

Install

pip install swoop-flights

# With CLI (adds `swoop` command)
pip install swoop-flights[cli]

CLI

Search Google Flights directly from the terminal:

# 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'

# CSV for spreadsheets
swoop search JFK LAX 2026-06-15 -o csv -q > flights.csv

# Look up a specific flight
swoop flight DL2300 -f JFK -t LAX -d 2026-06-15

# See fare tiers for search result #1
swoop book 1 JFK LAX 2026-06-15

# Filter by airline, time window
swoop search JFK LAX 2026-06-15 -a DL -a UA --depart-after 8 --depart-before 14

Output formats: table (default, colored), json, csv, brief. Use --help on any subcommand 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")

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
)

Time window filtering

results = search(
    "JFK", "LHR", "2026-06-15",
    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})")

You can also pass a booking token string with explicit parameters:

options = get_booking_results(
    itinerary.booking_token,
    origin="JFK",
    destination="LAX",
    date="2026-06-15",
    selected_legs=[
        [
            flight.departure_airport,
            f"{flight.departure_date[0]}-{flight.departure_date[1]:02d}-{flight.departure_date[2]:02d}",
            flight.arrival_airport,
            None,
            flight.airline,
            flight.flight_number,
        ]
        for flight in itinerary.flights
    ],
)

Retry and timeout

# Retry up to 3 times on HTTP 429 (rate limit) with exponential backoff
results = search("JFK", "LAX", "2026-06-15", retries=3, timeout=90)

# Same for booking results
options = get_booking_results(itinerary, retries=2, timeout=60)

Flight details

Each Itinerary contains detailed segment data:

results = search("JFK", "LAX", "2026-06-15")
for itinerary in results.best:
    for flight in itinerary.flights:
        print(f"{flight.airline} {flight.flight_number}")
        print(f"  {flight.departure_airport} → {flight.arrival_airport}")
        print(f"  Aircraft: {flight.aircraft}")
        print(f"  Legroom: {flight.legroom}")
        if flight.co2_grams:
            print(f"  CO₂: {flight.co2_grams}g")

    if itinerary.carbon_emissions:
        ce = itinerary.carbon_emissions
        print(f"  Route emissions: {ce.difference_percent}% vs typical")

    if results.price_range:
        print(f"  Price range: ${results.price_range.low}–${results.price_range.high}")

Error handling

from swoop import search, SwoopHTTPError, SwoopRateLimitError, SwoopParseError

try:
    results = search("JFK", "LAX", "2026-06-15")
except SwoopRateLimitError:
    print("Rate limited — wait a few minutes")
except SwoopHTTPError as e:
    print(f"HTTP {e.status_code}")
except SwoopParseError as e:
    print(f"Parse error: {e}")

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
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 | None
• Itinerary — Full itinerary with price, flights, layovers, travel_time, booking_token, carbon_emissions
• Flight — Segment details: airline, flight_number, aircraft, legroom, co2_grams, amenities
• Layover — Stop info: minutes, airports, is_overnight
• CarbonEmissions — 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

Pricing notes

Use itinerary.price to get the USD price as an integer.

By default, search() excludes basic economy fares so prices reflect Main Cabin. Pass include_basic_economy=True to include them:

results = search("JFK", "LAX", "2026-06-15", include_basic_economy=True)

How it works

Swoop uses Google Flights' internal GetShoppingResults and GetBookingResults RPC endpoints — the same ones the web app calls when you search for flights. Requests are serialized as nested JSON payloads and sent via HTTP POST with browser impersonation (via primp).

Responses are decoded from nested list structures into typed Python dataclasses.

Dependencies

• primp — HTTP client with browser TLS impersonation
• protobuf — Protocol buffer serialization
• click — CLI framework (optional, [cli] extra)
• rich — Terminal formatting (optional, [cli] extra)

License

MIT