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| <h1><a href="analyticsreporting_v4.html">Analytics Reporting API</a> . <a href="analyticsreporting_v4.reports.html">reports</a></h1> |
| <h2>Instance Methods</h2> |
| <p class="toc_element"> |
| <code><a href="#batchGet">batchGet(body, x__xgafv=None)</a></code></p> |
| <p class="firstline">Returns the Analytics data.</p> |
| <h3>Method Details</h3> |
| <div class="method"> |
| <code class="details" id="batchGet">batchGet(body, x__xgafv=None)</code> |
| <pre>Returns the Analytics data. |
| |
| Args: |
| body: object, The request body. (required) |
| The object takes the form of: |
| |
| { # The batch request containing multiple report request. |
| "reportRequests": [ # Requests, each request will have a separate response. |
| # There can be a maximum of 5 requests. All requests should have the same |
| # `dateRanges`, `viewId`, `segments`, `samplingLevel`, and `cohortGroup`. |
| { # The main request class which specifies the Reporting API request. |
| "dateRanges": [ # Date ranges in the request. The request can have a maximum of 2 date |
| # ranges. The response will contain a set of metric values for each |
| # combination of the dimensions for each date range in the request. So, if |
| # there are two date ranges, there will be two set of metric values, one for |
| # the original date range and one for the second date range. |
| # The `reportRequest.dateRanges` field should not be specified for cohorts |
| # or Lifetime value requests. |
| # If a date range is not provided, the default date range is (startDate: |
| # current date - 7 days, endDate: current date - 1 day). Every |
| # [ReportRequest](#ReportRequest) within a `batchGet` method must |
| # contain the same `dateRanges` definition. |
| { # A contiguous set of days: startDate, startDate + 1 day, ..., endDate. |
| # The start and end dates are specified in |
| # [ISO8601](https://en.wikipedia.org/wiki/ISO_8601) date format `YYYY-MM-DD`. |
| "startDate": "A String", # The start date for the query in the format `YYYY-MM-DD`. |
| "endDate": "A String", # The end date for the query in the format `YYYY-MM-DD`. |
| }, |
| ], |
| "hideTotals": True or False, # If set to true, hides the total of all metrics for all the matching rows, |
| # for every date range. The default false and will return the totals. |
| "pageSize": 42, # Page size is for paging and specifies the maximum number of returned rows. |
| # Page size should be >= 0. A query returns the default of 1,000 rows. |
| # The Analytics Core Reporting API returns a maximum of 100,000 rows per |
| # request, no matter how many you ask for. It can also return fewer rows |
| # than requested, if there aren't as many dimension segments as you expect. |
| # For instance, there are fewer than 300 possible values for `ga:country`, |
| # so when segmenting only by country, you can't get more than 300 rows, |
| # even if you set `pageSize` to a higher value. |
| "filtersExpression": "A String", # Dimension or metric filters that restrict the data returned for your |
| # request. To use the `filtersExpression`, supply a dimension or metric on |
| # which to filter, followed by the filter expression. For example, the |
| # following expression selects `ga:browser` dimension which starts with |
| # Firefox; `ga:browser=~^Firefox`. For more information on dimensions |
| # and metric filters, see |
| # [Filters reference](https://developers.google.com/analytics/devguides/reporting/core/v3/reference#filters). |
| "pivots": [ # The pivot definitions. Requests can have a maximum of 2 pivots. |
| { # The Pivot describes the pivot section in the request. |
| # The Pivot helps rearrange the information in the table for certain reports |
| # by pivoting your data on a second dimension. |
| "metrics": [ # The pivot metrics. Pivot metrics are part of the |
| # restriction on total number of metrics allowed in the request. |
| { # [Metrics](https://support.google.com/analytics/answer/1033861) |
| # are the quantitative measurements. For example, the metric `ga:users` |
| # indicates the total number of users for the requested time period. |
| "alias": "A String", # An alias for the metric expression is an alternate name for the |
| # expression. The alias can be used for filtering and sorting. This field |
| # is optional and is useful if the expression is not a single metric but |
| # a complex expression which cannot be used in filtering and sorting. |
| # The alias is also used in the response column header. |
| "expression": "A String", # A metric expression in the request. An expression is constructed from one |
| # or more metrics and numbers. Accepted operators include: Plus (+), Minus |
| # (-), Negation (Unary -), Divided by (/), Multiplied by (*), Parenthesis, |
| # Positive cardinal numbers (0-9), can include decimals and is limited to |
| # 1024 characters. Example `ga:totalRefunds/ga:users`, in most cases the |
| # metric expression is just a single metric name like `ga:users`. |
| # Adding mixed `MetricType` (E.g., `CURRENCY` + `PERCENTAGE`) metrics |
| # will result in unexpected results. |
| "formattingType": "A String", # Specifies how the metric expression should be formatted, for example |
| # `INTEGER`. |
| }, |
| ], |
| "dimensions": [ # A list of dimensions to show as pivot columns. A Pivot can have a maximum |
| # of 4 dimensions. Pivot dimensions are part of the restriction on the |
| # total number of dimensions allowed in the request. |
| { # [Dimensions](https://support.google.com/analytics/answer/1033861) |
| # are attributes of your data. For example, the dimension `ga:city` |
| # indicates the city, for example, "Paris" or "New York", from which |
| # a session originates. |
| "name": "A String", # Name of the dimension to fetch, for example `ga:browser`. |
| "histogramBuckets": [ # If non-empty, we place dimension values into buckets after string to |
| # int64. Dimension values that are not the string representation of an |
| # integral value will be converted to zero. The bucket values have to be in |
| # increasing order. Each bucket is closed on the lower end, and open on the |
| # upper end. The "first" bucket includes all values less than the first |
| # boundary, the "last" bucket includes all values up to infinity. Dimension |
| # values that fall in a bucket get transformed to a new dimension value. For |
| # example, if one gives a list of "0, 1, 3, 4, 7", then we return the |
| # following buckets: |
| # |
| # - bucket #1: values < 0, dimension value "<0" |
| # - bucket #2: values in [0,1), dimension value "0" |
| # - bucket #3: values in [1,3), dimension value "1-2" |
| # - bucket #4: values in [3,4), dimension value "3" |
| # - bucket #5: values in [4,7), dimension value "4-6" |
| # - bucket #6: values >= 7, dimension value "7+" |
| # |
| # NOTE: If you are applying histogram mutation on any dimension, and using |
| # that dimension in sort, you will want to use the sort type |
| # `HISTOGRAM_BUCKET` for that purpose. Without that the dimension values |
| # will be sorted according to dictionary |
| # (lexicographic) order. For example the ascending dictionary order is: |
| # |
| # "<50", "1001+", "121-1000", "50-120" |
| # |
| # And the ascending `HISTOGRAM_BUCKET` order is: |
| # |
| # "<50", "50-120", "121-1000", "1001+" |
| # |
| # The client has to explicitly request `"orderType": "HISTOGRAM_BUCKET"` |
| # for a histogram-mutated dimension. |
| "A String", |
| ], |
| }, |
| ], |
| "maxGroupCount": 42, # Specifies the maximum number of groups to return. |
| # The default value is 10, also the maximum value is 1,000. |
| "dimensionFilterClauses": [ # DimensionFilterClauses are logically combined with an `AND` operator: only |
| # data that is included by all these DimensionFilterClauses contributes to |
| # the values in this pivot region. Dimension filters can be used to restrict |
| # the columns shown in the pivot region. For example if you have |
| # `ga:browser` as the requested dimension in the pivot region, and you |
| # specify key filters to restrict `ga:browser` to only "IE" or "Firefox", |
| # then only those two browsers would show up as columns. |
| { # A group of dimension filters. Set the operator value to specify how |
| # the filters are logically combined. |
| "operator": "A String", # The operator for combining multiple dimension filters. If unspecified, it |
| # is treated as an `OR`. |
| "filters": [ # The repeated set of filters. They are logically combined based on the |
| # operator specified. |
| { # Dimension filter specifies the filtering options on a dimension. |
| "dimensionName": "A String", # The dimension to filter on. A DimensionFilter must contain a dimension. |
| "operator": "A String", # How to match the dimension to the expression. The default is REGEXP. |
| "expressions": [ # Strings or regular expression to match against. Only the first value of |
| # the list is used for comparison unless the operator is `IN_LIST`. |
| # If `IN_LIST` operator, then the entire list is used to filter the |
| # dimensions as explained in the description of the `IN_LIST` operator. |
| "A String", |
| ], |
| "not": True or False, # Logical `NOT` operator. If this boolean is set to true, then the matching |
| # dimension values will be excluded in the report. The default is false. |
| "caseSensitive": True or False, # Should the match be case sensitive? Default is false. |
| }, |
| ], |
| }, |
| ], |
| "startGroup": 42, # If k metrics were requested, then the response will contain some |
| # data-dependent multiple of k columns in the report. E.g., if you pivoted |
| # on the dimension `ga:browser` then you'd get k columns for "Firefox", k |
| # columns for "IE", k columns for "Chrome", etc. The ordering of the groups |
| # of columns is determined by descending order of "total" for the first of |
| # the k values. Ties are broken by lexicographic ordering of the first |
| # pivot dimension, then lexicographic ordering of the second pivot |
| # dimension, and so on. E.g., if the totals for the first value for |
| # Firefox, IE, and Chrome were 8, 2, 8, respectively, the order of columns |
| # would be Chrome, Firefox, IE. |
| # |
| # The following let you choose which of the groups of k columns are |
| # included in the response. |
| }, |
| ], |
| "dimensionFilterClauses": [ # The dimension filter clauses for filtering Dimension Values. They are |
| # logically combined with the `AND` operator. Note that filtering occurs |
| # before any dimensions are aggregated, so that the returned metrics |
| # represent the total for only the relevant dimensions. |
| { # A group of dimension filters. Set the operator value to specify how |
| # the filters are logically combined. |
| "operator": "A String", # The operator for combining multiple dimension filters. If unspecified, it |
| # is treated as an `OR`. |
| "filters": [ # The repeated set of filters. They are logically combined based on the |
| # operator specified. |
| { # Dimension filter specifies the filtering options on a dimension. |
| "dimensionName": "A String", # The dimension to filter on. A DimensionFilter must contain a dimension. |
| "operator": "A String", # How to match the dimension to the expression. The default is REGEXP. |
| "expressions": [ # Strings or regular expression to match against. Only the first value of |
| # the list is used for comparison unless the operator is `IN_LIST`. |
| # If `IN_LIST` operator, then the entire list is used to filter the |
| # dimensions as explained in the description of the `IN_LIST` operator. |
| "A String", |
| ], |
| "not": True or False, # Logical `NOT` operator. If this boolean is set to true, then the matching |
| # dimension values will be excluded in the report. The default is false. |
| "caseSensitive": True or False, # Should the match be case sensitive? Default is false. |
| }, |
| ], |
| }, |
| ], |
| "viewId": "A String", # The Analytics |
| # [view ID](https://support.google.com/analytics/answer/1009618) |
| # from which to retrieve data. Every [ReportRequest](#ReportRequest) |
| # within a `batchGet` method must contain the same `viewId`. |
| "includeEmptyRows": True or False, # If set to false, the response does not include rows if all the retrieved |
| # metrics are equal to zero. The default is false which will exclude these |
| # rows. |
| "samplingLevel": "A String", # The desired report |
| # [sample](https://support.google.com/analytics/answer/2637192) size. |
| # If the the `samplingLevel` field is unspecified the `DEFAULT` sampling |
| # level is used. Every [ReportRequest](#ReportRequest) within a |
| # `batchGet` method must contain the same `samplingLevel` definition. See |
| # [developer guide](/analytics/devguides/reporting/core/v4/basics#sampling) |
| # for details. |
| "orderBys": [ # Sort order on output rows. To compare two rows, the elements of the |
| # following are applied in order until a difference is found. All date |
| # ranges in the output get the same row order. |
| { # Specifies the sorting options. |
| "orderType": "A String", # The order type. The default orderType is `VALUE`. |
| "fieldName": "A String", # The field which to sort by. The default sort order is ascending. Example: |
| # `ga:browser`. |
| # Note, that you can only specify one field for sort here. For example, |
| # `ga:browser, ga:city` is not valid. |
| "sortOrder": "A String", # The sorting order for the field. |
| }, |
| ], |
| "cohortGroup": { # Defines a cohort group. # Cohort group associated with this request. If there is a cohort group |
| # in the request the `ga:cohort` dimension must be present. |
| # Every [ReportRequest](#ReportRequest) within a `batchGet` method must |
| # contain the same `cohortGroup` definition. |
| # For example: |
| # |
| # "cohortGroup": { |
| # "cohorts": [{ |
| # "name": "cohort 1", |
| # "type": "FIRST_VISIT_DATE", |
| # "dateRange": { "startDate": "2015-08-01", "endDate": "2015-08-01" } |
| # },{ |
| # "name": "cohort 2" |
| # "type": "FIRST_VISIT_DATE" |
| # "dateRange": { "startDate": "2015-07-01", "endDate": "2015-07-01" } |
| # }] |
| # } |
| "cohorts": [ # The definition for the cohort. |
| { # Defines a cohort. A cohort is a group of users who share a common |
| # characteristic. For example, all users with the same acquisition date |
| # belong to the same cohort. |
| "dateRange": { # A contiguous set of days: startDate, startDate + 1 day, ..., endDate. # This is used for `FIRST_VISIT_DATE` cohort, the cohort selects users |
| # whose first visit date is between start date and end date defined in the |
| # DateRange. The date ranges should be aligned for cohort requests. If the |
| # request contains `ga:cohortNthDay` it should be exactly one day long, |
| # if `ga:cohortNthWeek` it should be aligned to the week boundary (starting |
| # at Sunday and ending Saturday), and for `ga:cohortNthMonth` the date range |
| # should be aligned to the month (starting at the first and ending on the |
| # last day of the month). |
| # For LTV requests there are no such restrictions. |
| # You do not need to supply a date range for the |
| # `reportsRequest.dateRanges` field. |
| # The start and end dates are specified in |
| # [ISO8601](https://en.wikipedia.org/wiki/ISO_8601) date format `YYYY-MM-DD`. |
| "startDate": "A String", # The start date for the query in the format `YYYY-MM-DD`. |
| "endDate": "A String", # The end date for the query in the format `YYYY-MM-DD`. |
| }, |
| "type": "A String", # Type of the cohort. The only supported type as of now is |
| # `FIRST_VISIT_DATE`. If this field is unspecified the cohort is treated |
| # as `FIRST_VISIT_DATE` type cohort. |
| "name": "A String", # A unique name for the cohort. If not defined name will be auto-generated |
| # with values cohort_[1234...]. |
| }, |
| ], |
| "lifetimeValue": True or False, # Enable Life Time Value (LTV). LTV measures lifetime value for users |
| # acquired through different channels. |
| # Please see: |
| # [Cohort Analysis](https://support.google.com/analytics/answer/6074676) and |
| # [Lifetime Value](https://support.google.com/analytics/answer/6182550) |
| # If the value of lifetimeValue is false: |
| # |
| # - The metric values are similar to the values in the web interface cohort |
| # report. |
| # - The cohort definition date ranges must be aligned to the calendar week |
| # and month. i.e. while requesting `ga:cohortNthWeek` the `startDate` in |
| # the cohort definition should be a Sunday and the `endDate` should be the |
| # following Saturday, and for `ga:cohortNthMonth`, the `startDate` |
| # should be the 1st of the month and `endDate` should be the last day |
| # of the month. |
| # |
| # When the lifetimeValue is true: |
| # |
| # - The metric values will correspond to the values in the web interface |
| # LifeTime value report. |
| # - The Lifetime Value report shows you how user value (Revenue) and |
| # engagement (Appviews, Goal Completions, Sessions, and Session Duration) |
| # grow during the 90 days after a user is acquired. |
| # - The metrics are calculated as a cumulative average per user per the time |
| # increment. |
| # - The cohort definition date ranges need not be aligned to the calendar |
| # week and month boundaries. |
| # - The `viewId` must be an |
| # [app view ID](https://support.google.com/analytics/answer/2649553#WebVersusAppViews) |
| }, |
| "metrics": [ # The metrics requested. |
| # Requests must specify at least one metric. Requests can have a |
| # total of 10 metrics. |
| { # [Metrics](https://support.google.com/analytics/answer/1033861) |
| # are the quantitative measurements. For example, the metric `ga:users` |
| # indicates the total number of users for the requested time period. |
| "alias": "A String", # An alias for the metric expression is an alternate name for the |
| # expression. The alias can be used for filtering and sorting. This field |
| # is optional and is useful if the expression is not a single metric but |
| # a complex expression which cannot be used in filtering and sorting. |
| # The alias is also used in the response column header. |
| "expression": "A String", # A metric expression in the request. An expression is constructed from one |
| # or more metrics and numbers. Accepted operators include: Plus (+), Minus |
| # (-), Negation (Unary -), Divided by (/), Multiplied by (*), Parenthesis, |
| # Positive cardinal numbers (0-9), can include decimals and is limited to |
| # 1024 characters. Example `ga:totalRefunds/ga:users`, in most cases the |
| # metric expression is just a single metric name like `ga:users`. |
| # Adding mixed `MetricType` (E.g., `CURRENCY` + `PERCENTAGE`) metrics |
| # will result in unexpected results. |
| "formattingType": "A String", # Specifies how the metric expression should be formatted, for example |
| # `INTEGER`. |
| }, |
| ], |
| "pageToken": "A String", # A continuation token to get the next page of the results. Adding this to |
| # the request will return the rows after the pageToken. The pageToken should |
| # be the value returned in the nextPageToken parameter in the response to |
| # the GetReports request. |
| "hideValueRanges": True or False, # If set to true, hides the minimum and maximum across all matching rows. |
| # The default is false and the value ranges are returned. |
| "metricFilterClauses": [ # The metric filter clauses. They are logically combined with the `AND` |
| # operator. Metric filters look at only the first date range and not the |
| # comparing date range. Note that filtering on metrics occurs after the |
| # metrics are aggregated. |
| { # Represents a group of metric filters. |
| # Set the operator value to specify how the filters are logically combined. |
| "operator": "A String", # The operator for combining multiple metric filters. If unspecified, it is |
| # treated as an `OR`. |
| "filters": [ # The repeated set of filters. They are logically combined based on the |
| # operator specified. |
| { # MetricFilter specifies the filter on a metric. |
| "operator": "A String", # Is the metric `EQUAL`, `LESS_THAN` or `GREATER_THAN` the |
| # comparisonValue, the default is `EQUAL`. If the operator is |
| # `IS_MISSING`, checks if the metric is missing and would ignore the |
| # comparisonValue. |
| "not": True or False, # Logical `NOT` operator. If this boolean is set to true, then the matching |
| # metric values will be excluded in the report. The default is false. |
| "comparisonValue": "A String", # The value to compare against. |
| "metricName": "A String", # The metric that will be filtered on. A metricFilter must contain a metric |
| # name. A metric name can be an alias earlier defined as a metric or it can |
| # also be a metric expression. |
| }, |
| ], |
| }, |
| ], |
| "segments": [ # Segment the data returned for the request. A segment definition helps look |
| # at a subset of the segment request. A request can contain up to four |
| # segments. Every [ReportRequest](#ReportRequest) within a |
| # `batchGet` method must contain the same `segments` definition. Requests |
| # with segments must have the `ga:segment` dimension. |
| { # The segment definition, if the report needs to be segmented. |
| # A Segment is a subset of the Analytics data. For example, of the entire |
| # set of users, one Segment might be users from a particular country or city. |
| "dynamicSegment": { # Dynamic segment definition for defining the segment within the request. # A dynamic segment definition in the request. |
| # A segment can select users, sessions or both. |
| "sessionSegment": { # SegmentDefinition defines the segment to be a set of SegmentFilters which # Session Segment to select sessions to include in the segment. |
| # are combined together with a logical `AND` operation. |
| "segmentFilters": [ # A segment is defined by a set of segment filters which are combined |
| # together with a logical `AND` operation. |
| { # SegmentFilter defines the segment to be either a simple or a sequence |
| # segment. A simple segment condition contains dimension and metric conditions |
| # to select the sessions or users. A sequence segment condition can be used to |
| # select users or sessions based on sequential conditions. |
| "not": True or False, # If true, match the complement of simple or sequence segment. |
| # For example, to match all visits not from "New York", we can define the |
| # segment as follows: |
| # |
| # "sessionSegment": { |
| # "segmentFilters": [{ |
| # "simpleSegment" :{ |
| # "orFiltersForSegment": [{ |
| # "segmentFilterClauses":[{ |
| # "dimensionFilter": { |
| # "dimensionName": "ga:city", |
| # "expressions": ["New York"] |
| # } |
| # }] |
| # }] |
| # }, |
| # "not": "True" |
| # }] |
| # }, |
| "simpleSegment": { # A Simple segment conditions consist of one or more dimension/metric # A Simple segment conditions consist of one or more dimension/metric |
| # conditions that can be combined |
| # conditions that can be combined. |
| "orFiltersForSegment": [ # A list of segment filters groups which are combined with logical `AND` |
| # operator. |
| { # A list of segment filters in the `OR` group are combined with the logical OR |
| # operator. |
| "segmentFilterClauses": [ # List of segment filters to be combined with a `OR` operator. |
| { # Filter Clause to be used in a segment definition, can be wither a metric or |
| # a dimension filter. |
| "not": True or False, # Matches the complement (`!`) of the filter. |
| "dimensionFilter": { # Dimension filter specifies the filtering options on a dimension. # Dimension Filter for the segment definition. |
| "minComparisonValue": "A String", # Minimum comparison values for `BETWEEN` match type. |
| "maxComparisonValue": "A String", # Maximum comparison values for `BETWEEN` match type. |
| "dimensionName": "A String", # Name of the dimension for which the filter is being applied. |
| "caseSensitive": True or False, # Should the match be case sensitive, ignored for `IN_LIST` operator. |
| "operator": "A String", # The operator to use to match the dimension with the expressions. |
| "expressions": [ # The list of expressions, only the first element is used for all operators |
| "A String", |
| ], |
| }, |
| "metricFilter": { # Metric filter to be used in a segment filter clause. # Metric Filter for the segment definition. |
| "operator": "A String", # Specifies is the operation to perform to compare the metric. The default |
| # is `EQUAL`. |
| "scope": "A String", # Scope for a metric defines the level at which that metric is defined. The |
| # specified metric scope must be equal to or greater than its primary scope |
| # as defined in the data model. The primary scope is defined by if the |
| # segment is selecting users or sessions. |
| "comparisonValue": "A String", # The value to compare against. If the operator is `BETWEEN`, this value is |
| # treated as minimum comparison value. |
| "maxComparisonValue": "A String", # Max comparison value is only used for `BETWEEN` operator. |
| "metricName": "A String", # The metric that will be filtered on. A `metricFilter` must contain a |
| # metric name. |
| }, |
| }, |
| ], |
| }, |
| ], |
| }, |
| "sequenceSegment": { # Sequence conditions consist of one or more steps, where each step is defined # Sequence conditions consist of one or more steps, where each step is |
| # defined by one or more dimension/metric conditions. Multiple steps can |
| # be combined with special sequence operators. |
| # by one or more dimension/metric conditions. Multiple steps can be combined |
| # with special sequence operators. |
| "segmentSequenceSteps": [ # The list of steps in the sequence. |
| { # A segment sequence definition. |
| "matchType": "A String", # Specifies if the step immediately precedes or can be any time before the |
| # next step. |
| "orFiltersForSegment": [ # A sequence is specified with a list of Or grouped filters which are |
| # combined with `AND` operator. |
| { # A list of segment filters in the `OR` group are combined with the logical OR |
| # operator. |
| "segmentFilterClauses": [ # List of segment filters to be combined with a `OR` operator. |
| { # Filter Clause to be used in a segment definition, can be wither a metric or |
| # a dimension filter. |
| "not": True or False, # Matches the complement (`!`) of the filter. |
| "dimensionFilter": { # Dimension filter specifies the filtering options on a dimension. # Dimension Filter for the segment definition. |
| "minComparisonValue": "A String", # Minimum comparison values for `BETWEEN` match type. |
| "maxComparisonValue": "A String", # Maximum comparison values for `BETWEEN` match type. |
| "dimensionName": "A String", # Name of the dimension for which the filter is being applied. |
| "caseSensitive": True or False, # Should the match be case sensitive, ignored for `IN_LIST` operator. |
| "operator": "A String", # The operator to use to match the dimension with the expressions. |
| "expressions": [ # The list of expressions, only the first element is used for all operators |
| "A String", |
| ], |
| }, |
| "metricFilter": { # Metric filter to be used in a segment filter clause. # Metric Filter for the segment definition. |
| "operator": "A String", # Specifies is the operation to perform to compare the metric. The default |
| # is `EQUAL`. |
| "scope": "A String", # Scope for a metric defines the level at which that metric is defined. The |
| # specified metric scope must be equal to or greater than its primary scope |
| # as defined in the data model. The primary scope is defined by if the |
| # segment is selecting users or sessions. |
| "comparisonValue": "A String", # The value to compare against. If the operator is `BETWEEN`, this value is |
| # treated as minimum comparison value. |
| "maxComparisonValue": "A String", # Max comparison value is only used for `BETWEEN` operator. |
| "metricName": "A String", # The metric that will be filtered on. A `metricFilter` must contain a |
| # metric name. |
| }, |
| }, |
| ], |
| }, |
| ], |
| }, |
| ], |
| "firstStepShouldMatchFirstHit": True or False, # If set, first step condition must match the first hit of the visitor (in |
| # the date range). |
| }, |
| }, |
| ], |
| }, |
| "name": "A String", # The name of the dynamic segment. |
| "userSegment": { # SegmentDefinition defines the segment to be a set of SegmentFilters which # User Segment to select users to include in the segment. |
| # are combined together with a logical `AND` operation. |
| "segmentFilters": [ # A segment is defined by a set of segment filters which are combined |
| # together with a logical `AND` operation. |
| { # SegmentFilter defines the segment to be either a simple or a sequence |
| # segment. A simple segment condition contains dimension and metric conditions |
| # to select the sessions or users. A sequence segment condition can be used to |
| # select users or sessions based on sequential conditions. |
| "not": True or False, # If true, match the complement of simple or sequence segment. |
| # For example, to match all visits not from "New York", we can define the |
| # segment as follows: |
| # |
| # "sessionSegment": { |
| # "segmentFilters": [{ |
| # "simpleSegment" :{ |
| # "orFiltersForSegment": [{ |
| # "segmentFilterClauses":[{ |
| # "dimensionFilter": { |
| # "dimensionName": "ga:city", |
| # "expressions": ["New York"] |
| # } |
| # }] |
| # }] |
| # }, |
| # "not": "True" |
| # }] |
| # }, |
| "simpleSegment": { # A Simple segment conditions consist of one or more dimension/metric # A Simple segment conditions consist of one or more dimension/metric |
| # conditions that can be combined |
| # conditions that can be combined. |
| "orFiltersForSegment": [ # A list of segment filters groups which are combined with logical `AND` |
| # operator. |
| { # A list of segment filters in the `OR` group are combined with the logical OR |
| # operator. |
| "segmentFilterClauses": [ # List of segment filters to be combined with a `OR` operator. |
| { # Filter Clause to be used in a segment definition, can be wither a metric or |
| # a dimension filter. |
| "not": True or False, # Matches the complement (`!`) of the filter. |
| "dimensionFilter": { # Dimension filter specifies the filtering options on a dimension. # Dimension Filter for the segment definition. |
| "minComparisonValue": "A String", # Minimum comparison values for `BETWEEN` match type. |
| "maxComparisonValue": "A String", # Maximum comparison values for `BETWEEN` match type. |
| "dimensionName": "A String", # Name of the dimension for which the filter is being applied. |
| "caseSensitive": True or False, # Should the match be case sensitive, ignored for `IN_LIST` operator. |
| "operator": "A String", # The operator to use to match the dimension with the expressions. |
| "expressions": [ # The list of expressions, only the first element is used for all operators |
| "A String", |
| ], |
| }, |
| "metricFilter": { # Metric filter to be used in a segment filter clause. # Metric Filter for the segment definition. |
| "operator": "A String", # Specifies is the operation to perform to compare the metric. The default |
| # is `EQUAL`. |
| "scope": "A String", # Scope for a metric defines the level at which that metric is defined. The |
| # specified metric scope must be equal to or greater than its primary scope |
| # as defined in the data model. The primary scope is defined by if the |
| # segment is selecting users or sessions. |
| "comparisonValue": "A String", # The value to compare against. If the operator is `BETWEEN`, this value is |
| # treated as minimum comparison value. |
| "maxComparisonValue": "A String", # Max comparison value is only used for `BETWEEN` operator. |
| "metricName": "A String", # The metric that will be filtered on. A `metricFilter` must contain a |
| # metric name. |
| }, |
| }, |
| ], |
| }, |
| ], |
| }, |
| "sequenceSegment": { # Sequence conditions consist of one or more steps, where each step is defined # Sequence conditions consist of one or more steps, where each step is |
| # defined by one or more dimension/metric conditions. Multiple steps can |
| # be combined with special sequence operators. |
| # by one or more dimension/metric conditions. Multiple steps can be combined |
| # with special sequence operators. |
| "segmentSequenceSteps": [ # The list of steps in the sequence. |
| { # A segment sequence definition. |
| "matchType": "A String", # Specifies if the step immediately precedes or can be any time before the |
| # next step. |
| "orFiltersForSegment": [ # A sequence is specified with a list of Or grouped filters which are |
| # combined with `AND` operator. |
| { # A list of segment filters in the `OR` group are combined with the logical OR |
| # operator. |
| "segmentFilterClauses": [ # List of segment filters to be combined with a `OR` operator. |
| { # Filter Clause to be used in a segment definition, can be wither a metric or |
| # a dimension filter. |
| "not": True or False, # Matches the complement (`!`) of the filter. |
| "dimensionFilter": { # Dimension filter specifies the filtering options on a dimension. # Dimension Filter for the segment definition. |
| "minComparisonValue": "A String", # Minimum comparison values for `BETWEEN` match type. |
| "maxComparisonValue": "A String", # Maximum comparison values for `BETWEEN` match type. |
| "dimensionName": "A String", # Name of the dimension for which the filter is being applied. |
| "caseSensitive": True or False, # Should the match be case sensitive, ignored for `IN_LIST` operator. |
| "operator": "A String", # The operator to use to match the dimension with the expressions. |
| "expressions": [ # The list of expressions, only the first element is used for all operators |
| "A String", |
| ], |
| }, |
| "metricFilter": { # Metric filter to be used in a segment filter clause. # Metric Filter for the segment definition. |
| "operator": "A String", # Specifies is the operation to perform to compare the metric. The default |
| # is `EQUAL`. |
| "scope": "A String", # Scope for a metric defines the level at which that metric is defined. The |
| # specified metric scope must be equal to or greater than its primary scope |
| # as defined in the data model. The primary scope is defined by if the |
| # segment is selecting users or sessions. |
| "comparisonValue": "A String", # The value to compare against. If the operator is `BETWEEN`, this value is |
| # treated as minimum comparison value. |
| "maxComparisonValue": "A String", # Max comparison value is only used for `BETWEEN` operator. |
| "metricName": "A String", # The metric that will be filtered on. A `metricFilter` must contain a |
| # metric name. |
| }, |
| }, |
| ], |
| }, |
| ], |
| }, |
| ], |
| "firstStepShouldMatchFirstHit": True or False, # If set, first step condition must match the first hit of the visitor (in |
| # the date range). |
| }, |
| }, |
| ], |
| }, |
| }, |
| "segmentId": "A String", # The segment ID of a built-in or custom segment, for example `gaid::-3`. |
| }, |
| ], |
| "dimensions": [ # The dimensions requested. |
| # Requests can have a total of 7 dimensions. |
| { # [Dimensions](https://support.google.com/analytics/answer/1033861) |
| # are attributes of your data. For example, the dimension `ga:city` |
| # indicates the city, for example, "Paris" or "New York", from which |
| # a session originates. |
| "name": "A String", # Name of the dimension to fetch, for example `ga:browser`. |
| "histogramBuckets": [ # If non-empty, we place dimension values into buckets after string to |
| # int64. Dimension values that are not the string representation of an |
| # integral value will be converted to zero. The bucket values have to be in |
| # increasing order. Each bucket is closed on the lower end, and open on the |
| # upper end. The "first" bucket includes all values less than the first |
| # boundary, the "last" bucket includes all values up to infinity. Dimension |
| # values that fall in a bucket get transformed to a new dimension value. For |
| # example, if one gives a list of "0, 1, 3, 4, 7", then we return the |
| # following buckets: |
| # |
| # - bucket #1: values < 0, dimension value "<0" |
| # - bucket #2: values in [0,1), dimension value "0" |
| # - bucket #3: values in [1,3), dimension value "1-2" |
| # - bucket #4: values in [3,4), dimension value "3" |
| # - bucket #5: values in [4,7), dimension value "4-6" |
| # - bucket #6: values >= 7, dimension value "7+" |
| # |
| # NOTE: If you are applying histogram mutation on any dimension, and using |
| # that dimension in sort, you will want to use the sort type |
| # `HISTOGRAM_BUCKET` for that purpose. Without that the dimension values |
| # will be sorted according to dictionary |
| # (lexicographic) order. For example the ascending dictionary order is: |
| # |
| # "<50", "1001+", "121-1000", "50-120" |
| # |
| # And the ascending `HISTOGRAM_BUCKET` order is: |
| # |
| # "<50", "50-120", "121-1000", "1001+" |
| # |
| # The client has to explicitly request `"orderType": "HISTOGRAM_BUCKET"` |
| # for a histogram-mutated dimension. |
| "A String", |
| ], |
| }, |
| ], |
| }, |
| ], |
| "useResourceQuotas": True or False, # Enables |
| # [resource based quotas](/analytics/devguides/reporting/core/v4/limits-quotas#analytics_reporting_api_v4), |
| # (defaults to `False`). If this field is set to `True` the |
| # per view (profile) quotas are governed by the computational |
| # cost of the request. Note that using cost based quotas will |
| # higher enable sampling rates. (10 Million for `SMALL`, |
| # 100M for `LARGE`. See the |
| # [limits and quotas documentation](/analytics/devguides/reporting/core/v4/limits-quotas#analytics_reporting_api_v4) for details. |
| } |
| |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # The main response class which holds the reports from the Reporting API |
| # `batchGet` call. |
| "queryCost": 42, # The amount of resource quota tokens deducted to execute the query. Includes |
| # all responses. |
| "resourceQuotasRemaining": { # The resource quota tokens remaining for the property after the request is # The amount of resource quota remaining for the property. |
| # completed. |
| "dailyQuotaTokensRemaining": 42, # Daily resource quota remaining remaining. |
| "hourlyQuotaTokensRemaining": 42, # Hourly resource quota tokens remaining. |
| }, |
| "reports": [ # Responses corresponding to each of the request. |
| { # The data response corresponding to the request. |
| "nextPageToken": "A String", # Page token to retrieve the next page of results in the list. |
| "data": { # The data part of the report. # Response data. |
| "rows": [ # There's one ReportRow for every unique combination of dimensions. |
| { # A row in the report. |
| "metrics": [ # List of metrics for each requested DateRange. |
| { # Used to return a list of metrics for a single DateRange / dimension |
| # combination |
| "values": [ # Each value corresponds to each Metric in the request. |
| "A String", |
| ], |
| "pivotValueRegions": [ # The values of each pivot region. |
| { # The metric values in the pivot region. |
| "values": [ # The values of the metrics in each of the pivot regions. |
| "A String", |
| ], |
| }, |
| ], |
| }, |
| ], |
| "dimensions": [ # List of requested dimensions. |
| "A String", |
| ], |
| }, |
| ], |
| "maximums": [ # Minimum and maximum values seen over all matching rows. These are both |
| # empty when `hideValueRanges` in the request is false, or when |
| # rowCount is zero. |
| { # Used to return a list of metrics for a single DateRange / dimension |
| # combination |
| "values": [ # Each value corresponds to each Metric in the request. |
| "A String", |
| ], |
| "pivotValueRegions": [ # The values of each pivot region. |
| { # The metric values in the pivot region. |
| "values": [ # The values of the metrics in each of the pivot regions. |
| "A String", |
| ], |
| }, |
| ], |
| }, |
| ], |
| "minimums": [ # Minimum and maximum values seen over all matching rows. These are both |
| # empty when `hideValueRanges` in the request is false, or when |
| # rowCount is zero. |
| { # Used to return a list of metrics for a single DateRange / dimension |
| # combination |
| "values": [ # Each value corresponds to each Metric in the request. |
| "A String", |
| ], |
| "pivotValueRegions": [ # The values of each pivot region. |
| { # The metric values in the pivot region. |
| "values": [ # The values of the metrics in each of the pivot regions. |
| "A String", |
| ], |
| }, |
| ], |
| }, |
| ], |
| "isDataGolden": True or False, # Indicates if response to this request is golden or not. Data is |
| # golden when the exact same request will not produce any new results if |
| # asked at a later point in time. |
| "samplingSpaceSizes": [ # If the results are |
| # [sampled](https://support.google.com/analytics/answer/2637192), |
| # this returns the total number of |
| # samples present, one entry per date range. If the results are not sampled |
| # this field will not be defined. See |
| # [developer guide](/analytics/devguides/reporting/core/v4/basics#sampling) |
| # for details. |
| "A String", |
| ], |
| "totals": [ # For each requested date range, for the set of all rows that match |
| # the query, every requested value format gets a total. The total |
| # for a value format is computed by first totaling the metrics |
| # mentioned in the value format and then evaluating the value |
| # format as a scalar expression. E.g., The "totals" for |
| # `3 / (ga:sessions + 2)` we compute |
| # `3 / ((sum of all relevant ga:sessions) + 2)`. |
| # Totals are computed before pagination. |
| { # Used to return a list of metrics for a single DateRange / dimension |
| # combination |
| "values": [ # Each value corresponds to each Metric in the request. |
| "A String", |
| ], |
| "pivotValueRegions": [ # The values of each pivot region. |
| { # The metric values in the pivot region. |
| "values": [ # The values of the metrics in each of the pivot regions. |
| "A String", |
| ], |
| }, |
| ], |
| }, |
| ], |
| "rowCount": 42, # Total number of matching rows for this query. |
| "dataLastRefreshed": "A String", # The last time the data in the report was refreshed. All the hits received |
| # before this timestamp are included in the calculation of the report. |
| "samplesReadCounts": [ # If the results are |
| # [sampled](https://support.google.com/analytics/answer/2637192), |
| # this returns the total number of samples read, one entry per date range. |
| # If the results are not sampled this field will not be defined. See |
| # [developer guide](/analytics/devguides/reporting/core/v4/basics#sampling) |
| # for details. |
| "A String", |
| ], |
| }, |
| "columnHeader": { # Column headers. # The column headers. |
| "dimensions": [ # The dimension names in the response. |
| "A String", |
| ], |
| "metricHeader": { # The headers for the metrics. # Metric headers for the metrics in the response. |
| "pivotHeaders": [ # Headers for the pivots in the response. |
| { # The headers for each of the pivot sections defined in the request. |
| "totalPivotGroupsCount": 42, # The total number of groups for this pivot. |
| "pivotHeaderEntries": [ # A single pivot section header. |
| { # The headers for the each of the metric column corresponding to the metrics |
| # requested in the pivots section of the response. |
| "dimensionValues": [ # The values for the dimensions in the pivot. |
| "A String", |
| ], |
| "dimensionNames": [ # The name of the dimensions in the pivot response. |
| "A String", |
| ], |
| "metric": { # Header for the metrics. # The metric header for the metric in the pivot. |
| "type": "A String", # The type of the metric, for example `INTEGER`. |
| "name": "A String", # The name of the header. |
| }, |
| }, |
| ], |
| }, |
| ], |
| "metricHeaderEntries": [ # Headers for the metrics in the response. |
| { # Header for the metrics. |
| "type": "A String", # The type of the metric, for example `INTEGER`. |
| "name": "A String", # The name of the header. |
| }, |
| ], |
| }, |
| }, |
| }, |
| ], |
| }</pre> |
| </div> |
| |
| </body></html> |
