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 : set the URL of the page to analyze its missing keywords.
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_wide": 1000 — Keyword volume in broad match (any numeric value)
"keyword": "Any text value". "minus_keywords": ["case", "red"] — Excluding keywords "concurrency": 7 — Concurrency (any number value) "weight": 8 — Connection strength (any number value) "right_spelling" : "true" — contains 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
},
{
"id": "1",
"method": "SerpstatUrlProcedure.getUrlMissingKeywords",
"params": {
"url": "https://www.nike.com",
"se": "g_us",
"sort": {"weight": "asc"},
"right_spelling": "true",
"page": "2",
"size": "3"
}
}
{
"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
}
}
}