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SeoDomainMetricGroup

Organic search ranking distribution.

Properties

Name Type Description Notes
count int Number of keywords the domain ranks for in this result type. [optional]
etv float Estimated monthly organic traffic (clicks) from this result type. [optional]
estimated_paid_traffic_cost float Estimated monthly cost (USD) of buying this traffic through ads. [optional]
pos_1 int Keywords ranking in position 1. [optional]
pos_2_3 int Keywords ranking in positions 2-3. [optional]
pos_4_10 int Keywords ranking in positions 4-10. [optional]
pos_11_20 int Keywords ranking in positions 11-20. [optional]
pos_21_30 int Keywords ranking in positions 21-30. [optional]
pos_31_40 int Keywords ranking in positions 31-40. [optional]
pos_41_50 int Keywords ranking in positions 41-50. [optional]
pos_51_60 int Keywords ranking in positions 51-60. [optional]
pos_61_70 int Keywords ranking in positions 61-70. [optional]
pos_71_80 int Keywords ranking in positions 71-80. [optional]
pos_81_90 int Keywords ranking in positions 81-90. [optional]
pos_91_100 int Keywords ranking in positions 91-100. [optional]
is_new int Keywords newly ranking since the last check. [optional]
is_up int Keywords that moved up since the last check. [optional]
is_down int Keywords that moved down since the last check. [optional]
is_lost int Keywords lost since the last check. [optional]

Example

from unifapi.models.seo_domain_metric_group import SeoDomainMetricGroup

# TODO update the JSON string below
json = "{}"
# create an instance of SeoDomainMetricGroup from a JSON string
seo_domain_metric_group_instance = SeoDomainMetricGroup.from_json(json)
# print the JSON string representation of the object
print(SeoDomainMetricGroup.to_json())

# convert the object into a dict
seo_domain_metric_group_dict = seo_domain_metric_group_instance.to_dict()
# create an instance of SeoDomainMetricGroup from a dict
seo_domain_metric_group_from_dict = SeoDomainMetricGroup.from_dict(seo_domain_metric_group_dict)

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