Google Search Console Automation Tools

This tool automates the retrieval of performance data from Google Search Console using the API, allowing for efficient website performance analysis. The data is saved as a JSON file, making it easy to review and process further. It is designed for compatibility with Python 2.7.

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Features

• Secure Authentication: Uses Google API credentials with a Service Account for secure access.
• Automated Data Retrieval: Fetches performance data (clicks, impressions, CTR, position) based on customizable dimensions.
• Json Export: Saves the retrieved data directly to a Json file.

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Requirements

1. Google Search Console API enabled in a Google Cloud project.
2. Python 2.7 installed on your system.
3. Dependencies:
   • google-api-python-client
   • oauth2client

Install the dependencies with:

pip install google-api-python-client oauth2client

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How to Obtain the Credentials JSON

1. Log in to Google Cloud Console.
2. Enable the Google Search Console API.
3. Create a Service Account and download the JSON credentials file.
4. Add the Service Account's email (found in the JSON file under client_email) as a user in Google Search Console with Full access to your property.

For a detailed guide, see Google's API documentation.

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How to Use

1. Save the credentials JSON file in the same directory as this tool.
2. Update the configuration in gsc_automation.py:
   • CREDENTIALS_FILE: Path to your JSON credentials file.
   • SITE_URL: The URL of the Google Search Console property you want to retrieve data from.
   • OUTPUT_FILE: The name of the JSON output file.
3. Run the script with:

   python gsc_automation.py

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Default Configuration

• Date Range: Automatically retrieves data for the last 30 days.
• Dimensions: By default, the tool uses the 'query' dimension. You can change it to:
  • 'page'
  • 'country'
  • 'device'
  • Or any combination of dimensions supported by the API.

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