| Name | Type | Description | Notes |
|---|---|---|---|
| target | str | Domain, subdomain, or page to analyze. A domain or subdomain is specified without https:// and www. (example.com); a page is specified as an absolute URL (https://example.com/blog/). | |
| network_address_type | str | Group referring networks by individual IP (ip, default) or by subnet (subnet). | [optional] |
| backlinks_status_type | SeoBacklinksStatusType | [optional] | |
| include_subdomains | bool | Include backlinks pointing to the target's subdomains. Defaults to true. | [optional] |
| include_indirect_links | bool | Include indirect links (via redirects or canonicals) to the target. Defaults to true. | [optional] |
| exclude_internal_backlinks | bool | Exclude internal backlinks from the target's own subdomains. Defaults to true. | [optional] |
| internal_list_limit | int | Maximum number of entries kept in each referring_links_* breakdown map. Defaults to 10. | [optional] |
| rank_scale | SeoBacklinksRankScale | [optional] | |
| filters | SeoBacklinksReferringNetworksRequestFilters | [optional] | |
| backlinks_filters | SeoBacklinksAnchorsRequestBacklinksFilters | [optional] | |
| order_by | List[DataForSeoOrderByRule] | Sort the returned referring networks. Each rule is {"field","dir"} with dir asc or desc; up to 3 rules, applied in order. Sortable fields: rank, backlinks, backlinks_spam_score, referring_domains, referring_main_domains, referring_pages, referring_ips, referring_subnets, broken_backlinks, broken_pages, first_seen, lost_date. | [optional] |
| limit | int | Maximum number of records to return. Defaults to 100. | [optional] |
| offset | int | Number of records to skip from the start of the results. | [optional] |
| view | SeoBacklinksView | [optional] |
from unifapi.models.seo_backlinks_referring_networks_request import SeoBacklinksReferringNetworksRequest
# TODO update the JSON string below
json = "{}"
# create an instance of SeoBacklinksReferringNetworksRequest from a JSON string
seo_backlinks_referring_networks_request_instance = SeoBacklinksReferringNetworksRequest.from_json(json)
# print the JSON string representation of the object
print(SeoBacklinksReferringNetworksRequest.to_json())
# convert the object into a dict
seo_backlinks_referring_networks_request_dict = seo_backlinks_referring_networks_request_instance.to_dict()
# create an instance of SeoBacklinksReferringNetworksRequest from a dict
seo_backlinks_referring_networks_request_from_dict = SeoBacklinksReferringNetworksRequest.from_dict(seo_backlinks_referring_networks_request_dict)