Google Flights Scraper API
Google Flights Data
in One JSON Call
Google Flights Data in One JSON Call
Search flights for any route and date and get back structured fares, layovers, durations, airline metadata, carbon emissions, and price insights, without rendering JavaScript or scraping the booking flow.
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Price Insights and Carbon Emissions Built In
Every response includes `price_insights`: `lowest_price`, `price_level` (low / typical / high), `typical_price_range`, and a sparse `price_history` time series. Compare current fares against route averages without running your own statistics.
Per-itinerary `carbon_emissions` with `this_flight`, `typical_for_this_route`, and `difference_percent`. Sort by emissions (`sort_by=6`) to surface lower-impact options first.
200+ Countries, Multi-Airport Origin/Destination
Pass comma-separated IATA codes for multi-airport search: `departure_id=JFK,LGA,EWR&arrival_id=LAX` searches all three NYC airports in a single call.
240+ countries via `gl`, 150+ languages via `hl`, and independent currency via `currency`. Request EUR pricing from a US perspective for unified multi-region comparison.
How It Works
Select a Target
Send API Request
import requests
import json
token = "<SDO-token>"
url = f"https://api.scrape.do/plugin/google/flights?token={token}&departure_id=JFK&arrival_id=LAX&outbound_date=2026-06-15"
response = requests.request("GET", url)
print(json.dumps(response.json(), indent=2))Get Structured JSON
{
"search_parameters": {
"engine": "google_flights",
"type": 2,
"departure_id": "JFK",
"arrival_id": "LAX",
"outbound_date": "2026-06-15",
"adults": 1,
"currency": "USD",
"gl": "us",
"hl": "en"
},
"best_flights": [
{
"flights": [
{
"departure_airport": { "name": "John F. Kennedy International Airport", "id": "JFK", "time": "2026-06-15 08:29" },
"arrival_airport": { "name": "Los Angeles International Airport", "id": "LAX", "time": "2026-06-15 11:25" },
"duration": 356,
"airplane": "Airbus A320",
"airline": "JetBlue",
"airline_logo": "https://www.gstatic.com/flights/airline_logos/70px/B6.png",
"travel_class": "Economy",
"flight_number": "B6 323",
"legroom": "32 inches",
"extensions": ["Wi-Fi for a fee", "In-seat power"],
"overnight": false
}
],
"layovers": [],
"total_duration": 356,
"carbon_emissions": {
"this_flight": 405000,
"typical_for_this_route": 316000,
"difference_percent": 28
},
"price": 149,
"type": "One way",
"airline_logo": "https://www.gstatic.com/flights/airline_logos/70px/B6.png",
"booking_token": "CjRIVVBMZHNBZEpBRDhBQmN1QndCRy0..."
}
],
"other_flights": [],
"price_insights": {
"lowest_price": 149,
"price_level": "typical",
"typical_price_range": [90, 205],
"price_history": [
[1771218000000, 169],
[1771304400000, 169]
]
},
"airports": [
{
"departure": [
{
"airport": { "id": "JFK", "name": "John F. Kennedy International Airport" },
"city": "New York",
"country": "United States",
"country_code": "US",
"latitude": 40.6397,
"longitude": -73.7789
}
],
"arrival": [
{
"airport": { "id": "LAX", "name": "Los Angeles International Airport" },
"city": "Los Angeles",
"country": "United States",
"country_code": "US",
"latitude": 33.9425,
"longitude": -118.4081
}
]
}
]
}
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Frequently Asked Questions
Google Flights loads results through internal RPC calls and renders them with JavaScript. Scraping it directly means a headless browser, session token management, and reverse-engineered request signing. This API consumes Google's structured Flights feed directly. No JavaScript rendering, no booking-flow navigation. You send a route and date and get back parsed JSON with prices, durations, layovers, airlines, and emissions.
best_flights is Google's curated top picks for the route, typically nonstop or convenient itineraries the algorithm scores highly. other_flights is the longer list of alternatives (often with stops or off-peak times). Together they cover what the Google Flights UI shows under "Best departing flights" and "Other departing flights."
Pass return_date=YYYY-MM-DD along with outbound_date. type is auto-set to 1 (round trip). Or set type=1 explicitly. Itineraries returned will reflect the full round-trip price.
Yes. departure_id and arrival_id accept comma-separated IATA codes. departure_id=JFK,LGA,EWR&arrival_id=LAX searches all three NYC airports for flights to LAX in a single call. Useful for "any NYC airport to LA" or "any London airport to Paris" patterns.
sort_by takes six values: 1 (top, default), 2 (price low to high), 3 (departure time), 4 (arrival time), 5 (total duration), 6 (carbon emissions). Combine with stops=1 for nonstop-only and travel_class for cabin class.
Yes. include_airlines=DL,B6 whitelists specific carriers by IATA code. exclude_airlines=AA,UA blacklists them. The two parameters are mutually exclusive, pass only one. Useful for loyalty-program tracking or filtering out connection-heavy carriers.
Every itinerary has a carbon_emissions block with this_flight, typical_for_this_route, and difference_percent. Values are in grams. difference_percent is positive when the flight emits more than typical, negative when less. Sort by emissions with sort_by=6 to find the lowest-impact options.
price_insights.price_history returns sparse [unix_ms, price] pairs Google ships for the route. It's empty for routes Google doesn't track. Combine with price_level (low / typical / high) and typical_price_range to show whether the current best fare is a good deal.
Not yet. type=3 (multi-city) returns 400 multi-city is not yet supported. Build multi-city itineraries by chaining one-way searches for each leg. Booking-page expansion (booking_token → fare detail / baggage / seat maps) is also not yet exposed.
Any currency Google Flights supports: USD, EUR, GBP, JPY, TRY, CAD, AUD, INR, BRL, MXN, CNY, KRW, and more. currency is independent of gl. Request EUR pricing from a US perspective for unified multi-country comparison.
The Google Flights API documentation covers the full parameter list, response schema (including the nested airports[].departure[].airport shape), sort/filter modes, error responses, and localization details.
