GSC Queries By Page

Understanding "GSC Queries By Page"

"GSC Queries By Page" is designed to help you effortlessly pull query data and page metrics from your Google Search Console property. By allowing you to specify the site property name, the app fetches data such as impressions, clicks, CTR, and average position for each page and associated queries over the past 90 days. This makes it easier to analyze how individual pages are performing in search results and identify opportunities for optimization.

Building the "GSC Queries By Page" App

Setting up the Input

The app begins with a simple text input where you provide the Google Search Console property name. This input acts as the key to connect the app with your site's data in Google Search Console.

Step 1: Fetching Data from Google Search Console

In the first step of the app's logic, the Google Search Console function is configured to retrieve two dimensions: page and query. It uses the provided site property name to fetch data covering the past 90 days. This data includes standard metrics such as impressions, clicks, CTR, and position. The comprehensive dataset allows you to analyze search performance at both the page level and query level, giving you a detailed picture of your organic search performance.

Customization Options

• Data Range and Metrics: Adjust the date range in the configuration if you want to analyze performance over different time periods. You can also expand or refine the list of dimension fields by adding or modifying filters to focus on specific segments such as device types or countries.

• Filtering Data: Explore additional filters within the app to narrow down the dataset to particular queries or pages. For example, you might filter by query containing specific keywords or target pages related to certain topics.

• Integrating Additional Dimensions: If needed, you can extend the configuration to include other dimensions like device or country. This allows for a more granular analysis of how different user segments interact with your site.

• Output Customization: Modify the output table to display additional or fewer columns. Tailor the presentation of the data to better suit your reporting needs or to integrate it with other SEO dashboards.

Running the App at Scale

1. Prepare a CSV File: Gather a list of your Google Search Console site properties. Organize them into a CSV where each row contains the property name corresponding to different sites or sections of your site.

2. Map the Input: In the Bulk Runs feature, map the CSV column containing your GSC property names to the app’s input field.

3. Execute the Bulk Run: Start the bulk job to run the app simultaneously over multiple site properties. This will generate a table containing GSC query and page data for each property, enabling you to perform a comprehensive analysis across different parts of your digital presence.

Build and Explore More SEO Tools

Moonlit Platform provides a flexible no-code environment that allows SEO professionals to create and customize a wide range of data-driven tools like this one. Whether you're exploring new ways to integrate Google Search Console data or looking to analyze and optimize your site performance, the possibilities are endless.

If you’re ready to streamline your SEO workflows and build tools tailored to your specific needs, sign up for Moonlit Platform today and start building your own automation apps.