The Implementation: How to Use SEMrush APIs
Posted: Tue Jan 07, 2025 3:11 am
Some critical issues identified by us, with possible solutions:
When calculating weights, the weight of the positioning is assigned in absolute terms, without considering the competitiveness of the keyword. Therefore, if a site is positioned 3rd for a competitive keyword, it gets a lower score than a site positioned 1st for a less competitive keyword. Furthermore, 5 competitors are always taken, whatever the keyword. It could be improved by introducing a “profitability” parameter such as the very banal KEI, which serves both to decide how many results to take and what score to give them;
If the same competitor is on multiple SERPs, this accumulates more scores and this is not controllable. It can be a good thing (he writes a text that ranks everywhere... so great) or a bad thing (we cannot control this fact);
The only negative parameter used is the latvia phone number number of links. It could be improved by using the Domain Authority, for example;
Related keywords are a bit limiting. In the future, with the release of SEO Ideas API, the process could be improved;
It is based solely on competitors. If competitors do badly, we will do badly. If competitors “miss out” on something, we miss out on that something.
Now let's move on to the implementation!
The Implementation: How to Use SEMrush APIs
We can't list all the code for convenience. We'll list a few selected lines that illustrate SEMrush's API and key steps.
To use the APIs we will use cURL . Since we will need to use them often, it is convenient to write a function that simplifies the application:
Implementing SEMrush API to create web text
Keyword Expansion: Getting Related Keywords
We have our starting keyword (we could talk about entities, but for obvious reasons in this case we are talking about keywords, a concept that is much more understandable to a software and therefore more easily automated/standardized).
Once we have an API Key , we will use SEMrush Analytics API to extract related keywords to use in our web text.
When calculating weights, the weight of the positioning is assigned in absolute terms, without considering the competitiveness of the keyword. Therefore, if a site is positioned 3rd for a competitive keyword, it gets a lower score than a site positioned 1st for a less competitive keyword. Furthermore, 5 competitors are always taken, whatever the keyword. It could be improved by introducing a “profitability” parameter such as the very banal KEI, which serves both to decide how many results to take and what score to give them;
If the same competitor is on multiple SERPs, this accumulates more scores and this is not controllable. It can be a good thing (he writes a text that ranks everywhere... so great) or a bad thing (we cannot control this fact);
The only negative parameter used is the latvia phone number number of links. It could be improved by using the Domain Authority, for example;
Related keywords are a bit limiting. In the future, with the release of SEO Ideas API, the process could be improved;
It is based solely on competitors. If competitors do badly, we will do badly. If competitors “miss out” on something, we miss out on that something.
Now let's move on to the implementation!
The Implementation: How to Use SEMrush APIs
We can't list all the code for convenience. We'll list a few selected lines that illustrate SEMrush's API and key steps.
To use the APIs we will use cURL . Since we will need to use them often, it is convenient to write a function that simplifies the application:
Implementing SEMrush API to create web text
Keyword Expansion: Getting Related Keywords
We have our starting keyword (we could talk about entities, but for obvious reasons in this case we are talking about keywords, a concept that is much more understandable to a software and therefore more easily automated/standardized).
Once we have an API Key , we will use SEMrush Analytics API to extract related keywords to use in our web text.