Missing keywords

The SerpstatUrlProcedure.getUrlMissingKeywords method returns keywords that competitors are ranking for but the given URL isn’t ranking for them. The data set is similar to Missing keywords report in the URL analysis.

Use case: Get a list of keywords that competitors are ranking for in search engines, but the target site is not using them
1. Use SerpstatUrlProcedure.getUrlMissingKeywords with your website's domain and, optionally,
a list of competitors.
2. Get a response with a list of missing keywords.
3. Analyze these keywords and implement them in your content and SEO strategy.

General request parameters and instructions for using Serpstat API

Search databases available

Request parameters
Parameter	Description	Type	Optional	Default value	Value Options
id	A request id: the response contains the same id.	int/string	no		Text or number value
method	API method name	string	no		SerpstatUrlProcedure.getUrlMissingKeywords
params	The object with parameters {...}, it lists all the following parameters and arrays [...]	array	no
url	Analyzed URL	string	no		URL-address of the page (For example "https://www.nike.com")
se	ID of the search base to be searched.	string	no		g_us (search databases list)
sort	Sort by data (ascending and descending)	array	yes	"weight"	"weight" - Sort results by the number of URLs in the top 20 results
order	sort direction	array	yes	"desc"	Sort direction (asc — ascending, desc — descending)
Filters	Filter conditions	array	yes		"region_queries_count": 1000 — Keyword volume by the selected region (any number value) "region_queries_count_to": 2000 — Volume to (any number value) "region_queries_count_from": 300 — Volume from (any number value) "region_queries_count_wide": 1000 — Keyword volume in broad match (any numeric value) "region_queries_count_wide_to": 1500 — Volume to (any numeric value) "region_queries_count_wide_from": 100 — Volume from (any numeric value) "cost": 10 — Price per click (in US $) "cost_to": 10 — Price per click to "cost_from": 1 — Price per click from "keyword": "Any text value". "minus_keywords": ["case", "red"] — Excluding keywords "concurrency": 7 — Concurrency (any number value) "concurrency_to": 7 — Competition to (any number value) "concurrency_from": 1 — Competition from (any number value) "weight": 8 — Connection strength (any number value) "weight_to": 8 — Connection strength to (any number value) "weight_from" : 1 — Connection strength from (any number value) "right_spelling" : "true" — contains all; "right_spelling" : "false" — does not contain all.
page	Page number in response	int	yes	1	"page": 5 (any number value)
size	Number of results per page in response	int	yes	100	"size": 10 (any number value) min: 1, max: 1000

Response parameters
Parameter	Description
id	Response id: corresponds the request id
result	Contains the answer
data	Array with data
region_queries_count	Search volume in selected region
geo_names	List of toponyms in the array (if toponyms are present in the keywords)
types	List of special elements shown in SERP (for example, video, carousel or map)
cost	Cost per click, $
region_queries_count_wide	Search volume (broad match)
keyword	Keyword that competitors are ranking for in top-10 search results, while the analyzed page is not ranking for these search queries even in Google`s top-100 results.
concurrency	Keyword competition in PPC (0-100%)
weight	Connection strength shows the number of competitors who are ranking for the given keyword
summary_info	Object with data
page	Page number
left_lines	API credits remaining

Credits: the number of charged credits corresponds to the number of results obtained upon request. With the Serpstat API, you can only get the first 60,000 results, regardless of the number and size of the queries themselves. For more data - use the export option in the Domain Analysis, Keyword Analysis, or URL Analysis sections, or contact the manager for a personal upload of the results.
Part of the API response, for which 1 credit is charged:

{
    "region_queries_count": 1220000,
    "geo_names": [],
    "types": [
        "ads_bot",
        "also_asks",
        "kn_graph_carousel_list",
        "shopping_rhs",
        "shopping_top",
        "snip_breadcrumbs"
        ],
    "cost": 0.58999999999999997,
    "region_queries_count_wide": 0,
    "keyword": "shoes",
    "concurrency": 100,
    "weight": 2
},

Example

Request data:

{
    "id": "1",
    "method": "SerpstatUrlProcedure.getUrlMissingKeywords",
    "params": {
    "url": "https://www.nike.com",
    "se": "g_us",
    "sort": {"weight": "asc"},
    "right_spelling": "true",
    "page": "2",
    "size": "3"
 }
}

Response data:

{
    "id": "1",
    "result": {
        "data": [
            {
                "region_queries_count": 4400,
                "geo_names": [],
                "types": [
                    "pic",
                    "related_search",
                    "snip_breadcrumbs"
                ],
                "cost": 0.25,
                "region_queries_count_wide": 0,
                "keyword": "price shoes",
                "concurrency": 66,
                "weight": 2
            },
            {
                "region_queries_count": 18100,
                "geo_names": [],
                "types": [
                    "also_asks",
                    "local_pack",
                    "related_search",
                    "snip_breadcrumbs"
                ],
                "cost": 1.28,
                "region_queries_count_wide": 0,
                "keyword": "running shoes store",
                "concurrency": 85,
                "weight": 2
            },
            {
                "region_queries_count": 1900,
                "geo_names": [],
                "types": [
                    "related_search",
                    "pic",
                    "also_asks",
                    "local_pack",
                    "snip_breadcrumbs"
                ],
                "cost": 1.0399989999999999,
                "region_queries_count_wide": 0,
                "keyword": "athletic gear",
                "concurrency": 100,
                "weight": 2
            }
        ],
        "summary_info": {
            "page": 2,
            "left_lines": 999975
        }
    }
}