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Google Trends Compared Breakdown By Region API

When a Google Trends search contains compared breakdown by region chart results, they are parsed and exist within the compared_breakdown_by_region array in the JSON output. Compared breakdown by region can contain geo, coordinates, location, max_value_index and values array which contains query, value, and extracted_value.


Compared breakdown by region chart accepts only multiple queries per search.


The API endpoint is https://serpapi.com/search?engine=google_trends

Head to the playground for a live and interactive demo.

API Parameters

data_type

Required

Parameter must be set to GEO_MAP. (I.e., data_type=GEO_MAP)

region

Optional

Parameter is used for getting more specific results when using 'Compared breakdown by region' and 'Interest by region' data_type charts. Other data_type charts do not accept region parameter. The default value depends on the geo location that is set. Available options:

COUNTRY - Country
REGION - Subregion
DMA - Metro
CITY - City

Not all region options will return results for every geo location.

API Examples

Example with q: coffee,milk,bread,pasta,steak

Example with q: coffee,milk,bread,pasta,steak

JSON Example

{
  "compared_breakdown_by_region": [
    {
      "geo": "SG",
      "location": "Singapore",
      "max_value_index": 0,
      "values": [
        {
          "query": "coffee",
          "value": "43%",
          "extracted_value": 43
        },
        {
          "query": "milk",
          "value": "25%",
          "extracted_value": 25
        },
        {
          "query": "bread",
          "value": "16%",
          "extracted_value": 16
        },
        ...
      ]
    },
    {
      "geo": "IT",
      "location": "Italy",
      "max_value_index": 3,
      "values": [
        {
          "query": "coffee",
          "value": "5%",
          "extracted_value": 5
        },
        {
          "query": "milk",
          "value": "3%",
          "extracted_value": 3
        },
        {
          "query": "bread",
          "value": "2%",
          "extracted_value": 2
        },
        ...
      ]
    },
    {
      "geo": "AU",
      "location": "Australia",
      "max_value_index": 0,
      "values": [
        {
          "query": "coffee",
          "value": "38%",
          "extracted_value": 38
        },
        {
          "query": "milk",
          "value": "21%",
          "extracted_value": 21
        },
        {
          "query": "bread",
          "value": "17%",
          "extracted_value": 17
        },
        ...
      ]
    },
    ...
  ]
}

Example with q: coffee,milk,bread,pasta,steak and region: CITY

Example with q: coffee,milk,bread,pasta,steak and region: CITY

JSON Example

{
  "compared_breakdown_by_region": [
    {
      "coordinates": {
        "lat": 53.768138,
        "lng": -0.600799
      },
      "location": "South Cave",
      "max_value_index": 1,
      "values": [
        {
          "query": "coffee",
          "value": "25%",
          "extracted_value": 25
        },
        {
          "query": "pizza",
          "value": "40%",
          "extracted_value": 40
        },
        {
          "query": "milk",
          "value": "13%",
          "extracted_value": 13
        },
        ...
      ]
    },
    {
      "coordinates": {
        "lat": 50.415497,
        "lng": -5.073719
      },
      "location": "Newquay",
      "max_value_index": 1,
      "values": [
        {
          "query": "coffee",
          "value": "27%",
          "extracted_value": 27
        },
        {
          "query": "pizza",
          "value": "40%",
          "extracted_value": 40
        },
        {
          "query": "milk",
          "value": "14%",
          "extracted_value": 14
        },
        ...
      ]
    },
    {
      "coordinates": {
        "lat": 54.7582068,
        "lng": -5.7115538
      },
      "location": "Whitehead",
      "max_value_index": 1,
      "values": [
        {
          "query": "coffee",
          "value": "30%",
          "extracted_value": 30
        },
        {
          "query": "pizza",
          "value": "36%",
          "extracted_value": 36
        },
        {
          "query": "milk",
          "value": "12%",
          "extracted_value": 12
        },
        ...
      ]
    },
    ...
  ]
}