How do I integrate SEMrush API with Python for keyword tracking

1. Install the python-semrush library, which provides a wrapper around the SEMrush API[1].

2. Obtain a SEMrush API key to authenticate API requests[1].

3. Use the SemrushClient class to make API calls, such as retrieving domain rankings or launching a site audit[1][2].

4. The SEMrush API supports endpoints for domain analytics and keyword research[2]. You can use the Position Tracking tool to monitor keyword rankings over time[3].

5. With the API, you can track rankings across different devices, locations, and search engines[3]. The Position Tracking tool allows you to compare against competitors and identify opportunities like featured snippets[3].

6. The results can be processed and analyzed using Python libraries like Pandas and Matplotlib[2].

Here's an example of how to use the SEMrush API with Python to retrieve domain rankings:

python
from python_semrush.semrush import SemrushClient

# Set your SEMrush API key
api_key = 'your_semrush_api_key'

# Create a SEMrushClient instance  
client = SemrushClient(key=api_key)

# Get domain analytics for example.com
domain_analytics = client.domain_analytics(domain='example.com')

# Print the top 5 organic keywords
print("Top 5 Organic Keywords:")
for keyword in domain_analytics.organic_keywords[:5]:
    print(f"- {keyword.keyword} (Position: {keyword.position})")

This code demonstrates how to use the `SemrushClient` class to retrieve domain analytics data, including the top organic keywords and their rankings[1].

By leveraging the SEMrush API with Python, you can build custom keyword tracking solutions and integrate SEMrush data into your existing workflows and applications.