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Domains, subdomains, or pages to analyze (up to 1000). Domains/subdomains without https:// and www.; pages as absolute URLs.
date_from
str
Start date (yyyy-mm-dd) for counting new and lost referring domains. Minimum 2019-01-30; defaults to one month ago.
[optional]
Example
fromunifapi.models.seo_backlinks_bulk_new_lost_referring_domains_requestimportSeoBacklinksBulkNewLostReferringDomainsRequest# TODO update the JSON string belowjson="{}"# create an instance of SeoBacklinksBulkNewLostReferringDomainsRequest from a JSON stringseo_backlinks_bulk_new_lost_referring_domains_request_instance=SeoBacklinksBulkNewLostReferringDomainsRequest.from_json(json)
# print the JSON string representation of the objectprint(SeoBacklinksBulkNewLostReferringDomainsRequest.to_json())
# convert the object into a dictseo_backlinks_bulk_new_lost_referring_domains_request_dict=seo_backlinks_bulk_new_lost_referring_domains_request_instance.to_dict()
# create an instance of SeoBacklinksBulkNewLostReferringDomainsRequest from a dictseo_backlinks_bulk_new_lost_referring_domains_request_from_dict=SeoBacklinksBulkNewLostReferringDomainsRequest.from_dict(seo_backlinks_bulk_new_lost_referring_domains_request_dict)