DataForSEO
SEO, search-engine results, keyword research, backlinks and AI visibility data.
Referring Domains
The domains linking to one target, one row per domain with domain, rank, backlinks, first_seen, lost_date, backlinks_spam_score, broken_backlinks and broken_pages. Referring domains matter more than raw backlink count, since a thousand links from one domain is one relationship. For the individual links use post_dataforseo_backlinks_backlinks_live; to collapse further, to network operators, use post_dataforseo_backlinks_referring_networks_live.
- 型: array object[]
- target型: string必須
domain, subdomain or webpage to get referring domains for required field a domain or a subdomain should be specified without https:// and www. a page should be specified with absolute URL (including http:// or https://)
- backlinks型: array
_filters filter the backlinks of your target optional field you can use this field to filter the initial backlinks that will be included in the dataset for aggregated metrics for your target you can filter the backlinks by all fields available in the response of this endpoint using this parameter, you can include only dofollow backlinks in the response and create a flexible backlinks dataset to calculate the metrics for example: "backlinks_filters": ["dofollow", "=", true]
- backlinks型: string
_status _type set what backlinks to return and count optional field you can use this field to choose what backlinks will be returned and used for aggregated metrics for your target; possible values: all – all backlinks will be returned and counted; live – backlinks found during the last check will be returned and counted; lost – lost backlinks will be returned and counted; default value: live
- exclude型: boolean
_internal _backlinks indicates whether the backlinks from subdomains of the target are excluded optional field if set to false, the backlinks from subdomains of the target will be ommited and you won’t receive the same domain in the response; default value: true
- filters型: array
array of results filtering parameters optional field you can add several filters at once (8 filters maximum) you should set a logical operator and, or between the conditions the following operators are supported: regex, not_regex, =, , in, not_in, like, not_like, match, not_match you can use the % operator with like and not_like to match any string of zero or more characters example: ["referring_pages",">","1"] [["referring_pages",">","2"], "and", ["backlinks",">","10"]] [["first_seen",">","2017-10-23 11:31:45 +00:00"], "and", [["domain","like","%dataforseo.com%"],"or",["referring_domains",">","10"]]] The full list of possible filters is available here.
- include型: boolean
_indirect _links indicates if indirect links to the target will be included in the results optional field if set to true, the results will include data on indirect links pointing to a page that either redirects to the target, or points to a canonical page if set to false, indirect links will be ignored default value: true
- include型: boolean
_subdomains indicates if the subdomains of the target will be included in the search optional field if set to false, the subdomains will be ignored default value: true
- internal型: integer
_list _limit maximum number of elements within internal arrays optional field you can use this field to limit the number of elements within the following arrays: referring_links_tld referring_links_types referring_links_attributes referring_links_platform_types referring_links_semantic_locations default value: 10 maximum value: 1000
- limit型: integer
the maximum number of returned domains optional field default value: 100 maximum value: 1000
- offset型: integer
offset in the results array of returned domains optional field default value: 0 if you specify the 10 value, the first ten domains in the results array will be omitted and the data will be provided for the successive pages
- order型: array string[]
_by results sorting rules optional field you can use the same values as in the filters array to sort the results possible sorting types: asc – results will be sorted in the ascending order desc – results will be sorted in the descending order you should use a comma to set up a sorting type example: ["backlinks,desc"] note that you can set no more than three sorting rules in a single request you should use a comma to separate several sorting rules example: ["backlinks,desc","rank,asc"]
- rank型: string
_scale defines the scale used for calculating and displaying the rank, domain_from_rank, and page_from_rank values optional field you can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale possible values: one_hundred — rank values are displayed on a 0–100 scale one_thousand — rank values are displayed on a 0–1000 scale default value: one_thousand learn more about how this parameter works and how ranking metrics are calculated in this Help Center article
- tag型: string
user-defined task identifier optional field the character limit is 255 you can use this parameter to identify the task and match it with the result you will find the specified tag value in the data object of the response
- 型: object200
Successful response
- 型: numbercost
total tasks cost, USD
- 型: integerstatus
_code general status code you can find the full list of the response codes here Note: we strongly recommend designing a necessary system for handling related exceptional or error conditions
- 型: stringstatus
_message general informational message you can find the full list of general informational messages here
- 型: array string[]tasks
array of tasks
- 型: integertasks
_count the number of tasks in the tasks array
- 型: integertasks
_error the number of tasks in the tasks array returned with an error
- 型: numbertasks
.cost cost of the task, USD
- 型: objecttasks
.data contains the same parameters that you specified in the POST request
- 型: stringtasks
.id task identifier unique task identifier in our system in the UUID format
- 型: array string[]tasks
.path URL path
- 型: array string[]tasks
.result array of results
- 型: integertasks
.result _count number of elements in the result array
- 型: array string[]tasks
.result .items items array
- 型: integertasks
.result .items _count number of items in the items array
- 型: integertasks
.result .items .backlinks indicates the number of backlinks pointing to the target
- 型: integertasks
.result .items .backlinks _spam _score average spam score of all backlinks pointing to the domain learn more about how the metric is calculated on this help center page
- 型: integertasks
.result .items .broken _backlinks number of broken backlinks number of broken backlinks pointing to the domain
- 型: integertasks
.result .items .broken _pages number of broken pages number of pages that respond with 4xx or 5xx status codes where backlinks are pointing to
- 型: stringtasks
.result .items .domain referring domain
- 型: stringtasks
.result .items .first _seen date and time when our crawler found the backlink for the first time in the UTC format: “yyyy-mm-dd hh-mm-ss +00:00” example: 2019-11-15 12:57:46 +00:00
- 型: stringtasks
.result .items .lost _date date and time when the last backlink from this domain was lost indicates the date and time when our crawler visited the page and it responded with 4xx or 5xx status code or the last backlink was removed in the UTC format: “yyyy-mm-dd hh-mm-ss +00:00” example: 2017-01-24 13:20:59 +00:00
- 型: integertasks
.result .items .rank domain rank rank volume that a referring website passes to the target rank is calculated based on the method for node ranking in a linked database – a principle used in the original Google PageRank algorithm learn more about the metric and how it is calculated in this help center article
- 型: integertasks
.result .items .referring ips number of referring IP addresses number of IP addresses pointing to this page
- 型: integertasks
.result .items .referring subnets number of referring subnetworks
- 型: integertasks
.result .items .referring _domains indicates the number of referring domains note that we calculate main domains (root domains, like example.com) and their subdomains (e.g. blog.example.com) separately for this metric
- 型: integertasks
.result .items .referring _domains _nofollow number of domains pointing at least one nofollow link to the target
- 型: objecttasks
.result .items .referring _links _attributes link attributes of the referring links indicates link attributes of the referring links and link count per each attribute
- 型: objecttasks
.result .items .referring _links _countries ISO country codes of the referring links indicates ISO country codes of the domains where the referring links are located and the link count per each country
- 型: objecttasks
.result .items .referring _links _platform _types types of referring platforms indicates referring platform types and link count per each platform possible values: cms, blogs, ecommerce, message-boards, wikis, news, organization
- 型: objecttasks
.result .items .referring _links _semantic _locations semantic locations of the referring links indicates semantic elements in HTML where the referring links are located and the link count per each semantic location you can get the full list of semantic elements here examples: article, section, summary
- 型: objecttasks
.result .items .referring _links _tld top-level domains of the referring links contains top level domains and referring link count per each
- 型: objecttasks
.result .items .referring _links _types types of referring links indicates the types of the referring links and link count per each type possible values: anchor, image, link, meta, canonical, alternate, redirect
- 型: integertasks
.result .items .referring _main _domains indicates the number of referring main domains the number of primary (root) domains referring to your target
- 型: integertasks
.result .items .referring _main _domains _nofollow number of main domains pointing at least one nofollow link to the target
- 型: integertasks
.result .items .referring _pages indicates the number of pages pointing to the target specified
- 型: integertasks
.result .items .referring _pages _nofollow number of referring pages pointing at least one nofollow link to the target
- 型: stringtasks
.result .items .type type of element = ‘backlinks_referring_domain’
- 型: stringtasks
.result .target target in a POST array
- 型: integertasks
.result .total _count total number of relevant items in the database total number of main domains referring to your target; example.com and blog.example.com are counted as one referring domain
- 型: integertasks
.status _code status code of the task generated by DataForSEO; can be within the following range: 10000-60000 you can find the full list of the response codes here
- 型: stringtasks
.status _message informational message of the task you can find the full list of general informational messages here
- 型: stringtasks
.time execution time, seconds
- 型: stringtime
execution time, seconds
- 型: stringversion
the current version of the API
application/json - 400
Bad request
- 401
Unauthorized
- 402
The request cannot proceed because a billing requirement is not met.
- 403
The account is not permitted to perform this operation.
- 429
Rate limit exceeded
- 500
Internal server error
- 502
The service could not complete the request.
- 503
The API or billing service is temporarily unavailable.
- 504
The service timed out while processing the request.
- default
The operation failed. Keep the response request ID when contacting Felo support.
curl https://openapi.felo.ai/v1/beta/dataforseo/backlinks/referring_domains/live \
--request POST \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer YOUR_SECRET_TOKEN' \
--data '[
{
"target": "",
"limit": 1,
"offset": 1,
"internal_list_limit": 1,
"backlinks_status_type": "",
"filters": [],
"order_by": [
""
],
"backlinks_filters": [],
"include_subdomains": true,
"include_indirect_links": true,
"exclude_internal_backlinks": true,
"rank_scale": "",
"tag": ""
}
]'
{
"version": "string",
"status_code": 1,
"status_message": "string",
"time": "string",
"cost": 1,
"tasks_count": 1,
"tasks_error": 1,
"tasks": [
"string"
],
"tasks.id": "string",
"tasks.status_code": 1,
"tasks.status_message": "string",
"tasks.time": "string",
"tasks.cost": 1,
"tasks.result_count": 1,
"tasks.path": [
"string"
],
"tasks.data": {},
"tasks.result": [
"string"
],
"tasks.result.target": "string",
"tasks.result.total_count": 1,
"tasks.result.items_count": 1,
"tasks.result.items": [
"string"
],
"tasks.result.items.type": "string",
"tasks.result.items.domain": "string",
"tasks.result.items.rank": 1,
"tasks.result.items.backlinks": 1,
"tasks.result.items.first_seen": "string",
"tasks.result.items.lost_date": "string",
"tasks.result.items.backlinks_spam_score": 1,
"tasks.result.items.broken_backlinks": 1,
"tasks.result.items.broken_pages": 1,
"tasks.result.items.referring_domains": 1,
"tasks.result.items.referring_domains_nofollow": 1,
"tasks.result.items.referring_main_domains": 1,
"tasks.result.items.referring_main_domains_nofollow": 1,
"tasks.result.items.referring ips": 1,
"tasks.result.items.referring subnets": 1,
"tasks.result.items.referring_pages": 1,
"tasks.result.items.referring_links_tld": {},
"tasks.result.items.referring_links_types": {},
"tasks.result.items.referring_links_attributes": {},
"tasks.result.items.referring_links_platform_types": {},
"tasks.result.items.referring_links_semantic_locations": {},
"tasks.result.items.referring_links_countries": {},
"tasks.result.items.referring_pages_nofollow": 1
}