75f96181ae2c8cfa6b2e719cf35c5c4d 75f96181ae2c8cfa6b2e719cf35c5c4d veeceebp: SEMRUSH KEYWORD MAGIC.TOOL

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Wednesday, April 16, 2025

SEMRUSH KEYWORD MAGIC.TOOL

SEMrush's Keyword Magic Tool is a proprietary feature of the SEMrush platform, and its functionality can't be replicated with a simple code snippet. However, I can provide a basic example of how you might use Python and the SEMrush API to retrieve keyword suggestions: ``` import requests Replace with your actual API token api_token = "your_api_token" Set API endpoint and parameters endpoint = "https://api.semrush.com/" params = { "key": api_token, "type": "phrase_related", "phrase": "your_keyword", # Replace with your keyword "database": "en" # Replace with your target database } Make API request response = requests.get(endpoint, params=params) Handle response if response.status_code == 200: data = response.json() keywords = data["data"] for keyword in keywords: print(keyword["phrase"]) else: print("Error:", response.status_code) ``` This code uses the SEMrush API to retrieve related keywords for a specified phrase. You'll need to replace the placeholders (`your_api_token` and `your_keyword`) with your actual API token and target keyword. Keep in mind that SEMrush's API has usage limits and requirements, so be sure to review their documentation before using this code in production. Some key points to consider: - SEMrush API tokens can be obtained from the SEMrush dashboard. - The `type` parameter determines the type of keyword research (e.g., `phrase_related`, `phrase_things_that_might_link_to_this`, etc.). - The `database` parameter specifies the target database (e.g., `en` for English, `us` for US English, etc.). Consult SEMrush's API documentation for more information on available parameters, response formats, and usage guidelines.

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