1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2014 Google Inc. All Rights Reserved.
"""Query with grouping against the shopping search API"""
import pprint
from googleapiclient.discovery import build
SHOPPING_API_VERSION = "v1"
DEVELOPER_KEY = "<YOUR DEVELOPER KEY>"
def main():
"""Get and print a feed of public products in the United States mathing a
text search query for 'digital camera' and grouped by the 8 top brands.
The list method of the resource should be called with the "crowdBy"
parameter. Each parameter should be designed as <attribute>:<occurence>,
where <occurrence> is the number of that <attribute> that will be used. For
example, to crowd by the 5 top brands, the parameter would be "brand:5". The
possible rules for crowding are currently:
account_id:<occurrence> (eg account_id:5)
brand:<occurrence> (eg brand:5)
condition:<occurrence> (eg condition:3)
gtin:<occurrence> (eg gtin:10)
price:<occurrence> (eg price:10)
Multiple crowding rules should be specified by separating them with a comma,
for example to crowd by the top 5 brands and then condition of those items,
the parameter should be crowdBy="brand:5,condition:3"
"""
client = build("shopping", SHOPPING_API_VERSION, developerKey=DEVELOPER_KEY)
resource = client.products()
# The crowdBy parameter to the list method causes the results to be grouped,
# in this case by the top 8 brands.
request = resource.list(
source="public", country="US", q="digital camera", crowdBy="brand:8"
)
response = request.execute()
pprint.pprint(response)
if __name__ == "__main__":
main()
|
