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Connecting to the SEMRush Rest API and Extracting Backlinks Using Python

03/12/2022 | |0 comment

The SEMRush Rest API is a powerful tool for extracting data from search engine marketing campaigns. It can be used to extract backlinks from websites, which can be used to analyze a website’s link profile and identify potential link-building opportunities. This article will outline the steps required to connect to the SEMRush Rest API and extract the backlinks using Python. We have also provided an example Python script to get you started.

Step 1: Create an API Key

The first step is to create an API key. This can be done by visiting the SEMRush website, creating an account, and then generating an API key. Once you have an API key, it can be used to access the API and make requests.

Step 2: Install the Python Requests Library

The Python Requests library is a powerful tool for making HTTP requests. It is the recommended library for working with the SEMRush API. To install the library, use the pip command:

pip install requests

Step 3: Make a Request to the API

Once the Python Requests library is installed, you can make a request to the API. This can be done using the requests.get() method. It is important to include. We have provided an example Python script below.

#import necessary libraries
import requests
import json

#set the necessary credentials
api_key = '<YOUR_API_KEY>'
url = 'https://api.semrush.com/analytics/v1/'

#define parameters
params = {'key': api_key, 'url': 'example.com', 'type': 'backlinks'}

#make the request
response = requests.get(url, params=params)

#convert response to json
data = json.loads(response.text)

#get the backlinks from the response
backlinks = data['backlinks']

#print the backlinks
print(backlinks)

 

Chris

Freelance Technical SEO with - https://sitebee.co.uk