AI-generated Key Takeaways
- 
          The Merchant API is the new version of the Content API for Shopping and represents the future of the platform. 
- 
          Merchant Center Query Language supports pagination to handle large result sets using page_sizeandpage_tokenparameters.
- 
          The page_sizeparameter controls the maximum number of rows returned per request, defaulting to 1000.
- 
          To retrieve subsequent pages of data, use the next_page_tokenfrom the previous response as thepage_tokenin the next request.
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          The next_page_tokenwill not be included in the response containing the final batch of rows.
In order to handle result sets containing a large number of rows, Merchant
Center Query Language supports pagination. Two parameters are available to
control pagination in the reports.search request
body:
page_size and page_token, in addition to one output field in the response
body:
next_page_token.
The page_size parameter specifies the maximum number of rows to retrieve in a
single request. If unspecified, it is automatically set to the maximum page size
of 1000 rows.
The page_token parameter specifies the token of the page to return. If
unspecified, the first page is returned. To retrieve a subsequent page, the
value received as the next_page_token from the previous reports.search call
should be provided as a page_token. When a page_token is provided, all other
parameters in the call should match the previous call that returned the
page_token to avoid unexpected behavior.
Example:
SELECT
  segments.offer_id,
  metrics.impressions,
  metrics.clicks,
  metrics.ctr
FROM MerchantPerformanceView
WHERE segments.date BETWEEN '2021-12-01' AND '2021-12-31'
For this query, assume the account contains 100,000 offer_ids and the
page_size is set to 200. The result set will then contain 200 ReportRow
objects in the first response, along with a next_page_token.
To retrieve the next 200 rows, send the request again with the same page size,
but update the request's page_token to the previous response's
next_page_token.
Here is a response body example (the first five results plus the
next_page_token):
{
  "results": [
    {
      "segments": {
        "offerId": "12345"
      },
      "metrics": {
        "clicks": "0",
        "impressions": "59",
        "ctr": 0
      }
    },
    {
      "segments": {
        "offerId": "12346"
      },
      "metrics": {
        "clicks": "9625",
        "impressions": "276695",
        "ctr": 0.034785594246372356
      }
    },
    {
      "segments": {
        "offerId": "12347"
      },
      "metrics": {
        "clicks": "148",
        "impressions": "22045",
        "ctr": 0.0067135404853708325
      }
    },
    {
      "segments": {
        "offerId": "12348"
      },
      "metrics": {
        "clicks": "11",
        "impressions": "1100",
        "ctr": 0.01
      }
    },
    {
      "segments": {
        "offerId": "12349"
      },
      "metrics": {
        "clicks": "569",
        "impressions": "62977",
        "ctr": 0.0090350445400701838
      }
    },
    ...
  ],
  "nextPageToken": "CMgB"
}