Google QPX Express API with Python - api

Question

Here is the code I write for getting the flight price information by using Google QPX Express API from Python:
import urllib2
import json
url = "https://www.googleapis.com/qpxExpress/v1/trips/search?key=AIzaSyBH_S3LDUQWmQtbXyExUShtUSI8MmxObfY"
code = {
"request": {
"passengers": {
"kind": "qpxexpress#passengerCounts",
"adultCount": 1,
},
"slice": [
{
"kind": "qpxexpress#sliceInput",
"origin": "DCA",
"destination": "NYC",
"date": 2014-11-20,
}
],
"refundable": False,
"solutions": 5
}
}
jsonreq = json.dumps(code, encoding = 'utf-8')
req = urllib2.Request(url, jsonreq, {'Content-Type': 'application/json'})
flight = urllib2.urlopen(req)
response = flight.read()
flight.close()
print(flight)
It always give me the error of urllib2.HTTPError: HTTP Error 400: Bad Request. I really can't figure out what to do.
Related: QPX Express API from Python

Answer 1

You're almost there! Just a few minor errors:
The date needs to be quoted
False is written in lowercase in json: false, so you'll need to quote it in Python
No commas before close-bracket (OK in Python, but better to follow json conventions)
print(response), not print(flight)
also, it's generally a bad idea to publish your API key in a forum!
This gives:
import urllib2
import json
url = "https://www.googleapis.com/qpxExpress/v1/trips/search?key=XXX"
code = {
"request": {
"passengers": {
"kind": "qpxexpress#passengerCounts",
"adultCount": 1,
},
"slice": [
{
"kind": "qpxexpress#sliceInput",
"origin": "DCA",
"destination": "NYC",
"date": "2015-11-20",
}
],
"refundable": "false",
"solutions": 5
}
}
jsonreq = json.dumps(code, encoding = 'utf-8')
req = urllib2.Request(url, jsonreq, {'Content-Type': 'application/json'})
flight = urllib2.urlopen(req)
response = flight.read()
flight.close()
print(response)
By the way, to get the best responses, you should probably ask for more than 5 solutions. QPX Express tries to return a variety of answers (e.g., different times, different airlines, etc.) so if you want to have your own selection of the best trade-off of qualities, you probably want to examine more solutions.