You might have come across the avg_backlinks_info object in the responses of DataForSEO Labs API. It can be found in the following endpoints:
- Keyword Ideas;
- Keywords for Site;
- Related Keywords;
- Keywords for Categories;
- Keyword Suggestions;
- Top Searches.
Here is what the object looks like:
{
"avg_backlinks_info": {
"se_type": "google",
"backlinks": 23.428571428571427,
"dofollow": 16.714285714285715,
"referring_pages": 22.714285714285715,
"referring_domains": 14.857142857142858,
"referring_main_domains": 13.714285714285714,
"rank": 124.42857360839844,
"main_domain_rank": 573.4285714285714,
"last_updated_time": "2022-07-29 15:30:40 +00:00"
}
}
In the following paragraphs, we explain what this object is about and how its metrics are calculated.
What are average backlink metrics and how are they calculated?
The avg_backlinks_info object returns the average backlink-related metrics calculated for the top 10 webpages ranking organically for the returned keyword. These metrics can give an SEO expert a sense of how competitive a certain keyword is so that they can estimate their chances to rank in the top 10 organic search results for it.
The object provides the following data:
backlinks— average number of backlinks among the top-10 webpages;dofollow— average number of dofollow links;referring_pages— average number of referring pages;referring_domains— average number of referring domains;referring_main_domains— average number of referring main domains;rank— average rank (learn more about Rank and how it is calculated in this help center article);main_domain_rank— average main domain rank.
To provide the avg_backlinks_info, we first take individual backlink-related metrics for each webpage from our database. Then we calculate the arithmetic mean. For instance, if page A had a rank of 234, page B had a rank of 350, and page C had a rank of 443, the average rank would be calculated as follows: (234 + 350 + 443) / 3 = 342.333333333
Hope this article has cleared things up for you!