API Integrations
Last updated: October 10, 2025
Overview
The SE Ranking API allows you to extend the power of our data beyond the platform itself. By integrating SE Ranking with other tools and services, you can streamline your workflows, enhance your reporting capabilities, and leverage cutting-edge AI for deeper analysis.
This section covers the official integrations supported by the SE Ranking API.
Looker Studio
The SE Ranking integration with Looker Studio (formerly Google Data Studio) connects your SEO data directly to Google’s free data visualization platform. This allows you to build dynamic, interactive, and shareable dashboards without manual data exports.
Key Benefits
- Automated Reporting: Create real-time dashboards for tracking keyword performance, analyzing competitor traffic, and monitoring domain health.
- Data Blending: Combine SE Ranking data with other sources like Google Analytics, Search Console, and Google Ads for a unified marketing view.
- Custom Visualization: Turn raw SEO metrics into intuitive charts and graphs tailored to your specific KPIs.
How It Works
The integration utilizes official Partner Connectors built on the SE Ranking Data API. You authorize the connection using your SE Ranking API key and select the specific report (e.g., Domain Keywords, Competitor Analysis) you want to use as a data source.
➡️ Read the Looker Studio Integration Guide
MCP
The SE Ranking MCP (Model Context Protocol) integration bridges the gap between your SEO data and large language models (LLMs) such as the Chatgpt, Claude Desktop app and Gemini CLI.
Key Benefits
- Natural Language Analysis: Perform complex SEO analysis, query competitor data, and generate reports using simple text prompts directly within your AI assistant.
- AI-Powered Insights: Leverage the reasoning capabilities of LLMs to identify keyword opportunities, analyze traffic changes, and synthesize competitive research faster.
How It Works
An MCP acts as a translator, giving the AI model the “context” and “tools” needed to understand and interact with the SE Ranking Data API. The integration requires setting up a local MCP server (using Docker) that facilitates communication between your AI assistant and the SE Ranking API.
