How can I use python-semrush to fetch competitor data

1. Install the python-semrush library from GitHub:

bash
pip install git+https://github.com/storerjeremy/python-semrush.git

2. Import the `SemrushClient` class and create an instance, passing your SEMrush API key:

python
from python_semrush.semrush import SemrushClient

client = SemrushClient(key='your_semrush_api_key')

3. Use the `SemrushClient` to make API calls and retrieve competitor data. For example, to get domain analytics for a competitor:

python
domain_analytics = client.domain_analytics(domain='competitor.com')

This will return a `DomainAnalyticsResult` object containing various metrics about the competitor's domain.

4. You can access specific data points from the result object, such as the top organic keywords:

python
for keyword in domain_analytics.organic_keywords[:5]:
    print(f"- {keyword.keyword} (Position: {keyword.position})")

This will print the top 5 organic keywords and their rankings for the competitor's domain.

5. The SEMrush API provides several endpoints for retrieving competitor data, such as:

- `domain_ranks()`: Get domain rankings
- `backlinks()`: Get backlink data
- `site_audit()`: Run a site audit
- `organic_research()`: Get organic search competitors
- `advertising_research()`: Get paid search competitors

You can explore the available methods in the python-semrush library documentation.

By leveraging the python-semrush library, you can easily integrate with the SEMrush API and fetch valuable competitor data to analyze their online performance, identify strengths and weaknesses, and gain insights to improve your own marketing strategies.