fast-flights 0.2

The fast, robust, strongly-typed Google Flights scraper (API) implemented in Python.

flights (fast-flights)

The fast, robust, strongly-typed Google Flights scraper (API) implemented in Python. Based on Base64-encoded Protobuf string.

$ pip install fast-flights

Usage

To use fast-flights, you'll first create a filter (inherited from ?tfs=) to perform a request. Then, add flight_data, trip, seat and passengers info to use the API directly.

Honorable mention: I like birds. Yes, I like birds.

from fast_flights import FlightData, Passengers, create_filter, get_flights

# Create a new filter
filter = create_filter(
    flight_data=[
        # Include more if it's not a one-way trip
        FlightData(
            date="2024-07-02",  # Date of departure
            from_airport="TPE", 
            to_airport="MYJ"
        ),
        # ... include more for round trips and multi-city trips
    ],
    trip="one-way",  # Trip (round-trip, one-way, multi-city)
    seat="economy",  # Seat (economy, premium economy, business or first)
    passengers=Passengers(
        adults=2,
        children=1,
        infants_in_seat=0,
        infants_on_lap=0
    ),
)

# Get flights with a filter
result = get_flights(filter)

# The price is currently... low/typical/high
print("The price is currently", result.current_price)

# Display the first flight
print(result.flights[0])

Additionally, you can use the Airport enum to search for airports in code (as you type)! (See _generated_enum.py in source)

Airport.TAIPEI
              |---------------------------------|
              | TAIPEI_SONGSHAN_AIRPORT         |
              | TAPACHULA_INTERNATIONAL_AIRPORT |
              | TAMPA_INTERNATIONAL_AIRPORT     |
              | ... 5 more                      |
              |---------------------------------|

How it's made

The other day, I was making a chat-interface-based trip recommendation app and wanted to add a feature that can search for flights available for booking. My personal choice is definitely Google Flights since Google always has the best and most organized data on the web. Therefore, I searched for APIs on Google.

🔎 Search
google flights api

The results? Bad. It seems like they discontinued this service and it now lives in the Graveyard of Google.

^{🧏‍♂️ duffel.com
Google Flights API: How did it work & what happened to it?}

The Google Flights API offered developers access to aggregated airline data, including flight times, availability, and prices. Over a decade ago, Google announced the acquisition of ITA Software Inc. which it used to develop its API. However, in 2018, Google ended access to the public-facing API and now only offers access through the QPX enterprise product.

That's awful! I've also looked for free alternatives but their rate limits and pricing are just 😬 (not a good fit/deal for everyone).

However, Google Flights has their UI – flights.google.com. So, maybe I could just use Developer Tools to log the requests made and just replicate all of that? Undoubtedly not! Their requests are just full of numbers and unreadable text, so that's not the solution.

Perhaps, we could scrape it? I mean, Google allowed many companies like Serpapi to scrape their web just pretending like nothing happened... So let's scrape our own.

🔎 Search
google flights api scraper pypi

Excluding the ones that are not active, I came across hugoglvs/google-flights-scraper on Pypi. I thought to myself: "aint no way this is the solution!"

I checked hugoglvs's code on GitHub, and I immediately detected "playwright," my worst enemy. One word can describe it well: slow. Two words? Extremely slow. What's more, it doesn't even run on the 🗻 Edge because of configuration errors, missing libraries... etc. I could just reverse try.playwright.tech and use a better environment, but that's just too risky if they added Cloudflare as an additional security barrier 😳.

Life tells me to never give up. Let's just take a look at their URL params...

https://www.google.com/travel/flights/search?tfs=CBwQAhoeEgoyMDI0LTA1LTI4agcIARIDVFBFcgcIARIDTVlKGh4SCjIwMjQtMDUtMzBqBwgBEgNNWUpyBwgBEgNUUEVAAUgBcAGCAQsI____________AZgBAQ&hl=en

Param	Content	My past understanding
hl	en	Sets the language.
tfs	CBwQAhoeEgoyMDI0LTA1LTI4agcIARID…	What is this???? 🤮🤮

I removed the ?tfs= parameter and found out that this is the control of our request! And it looks so base64-y.

If we decode it to raw text, we can still see the dates, but we're not quite there — there's too much unwanted Unicode text.

Or maybe it's some kind of a data-storing method Google uses? What if it's something like JSON? Let's look it up.

🔎 Search
google's json alternative

🐣 Result
Solution: The Power of Protocol Buffers

LinkedIn turned to Protocol Buffers, often referred to as protobuf, a binary serialization format developed by Google. The key advantage of Protocol Buffers is its efficiency, compactness, and speed, making it significantly faster than JSON for serialization and deserialization.

Gotcha, Protobuf! Let's feed it to an online decoder and see how it does:

🔎 Search
protobuf decoder

🐣 Result
protobuf-decoder.netlify.app

I then pasted the Base64-encoded string to the decoder and no way! It DID return valid data!

I immediately recognized the values — that's my data, that's my query!

So, I wrote some simple Protobuf code to decode the data.

syntax = "proto3"

message Airport {
    string name = 2;
}

message FlightInfo {
    string date = 2;
    Airport dep_airport = 13;
    Airport arr_airport = 14;
}

message GoogleSucks {
    repeated FlightInfo = 3;
}

It works! Now, I won't consider myself an "experienced Protobuf developer" but rather a complete beginner.

I have no idea what I wrote but... it worked! And here it is, fast-flights.