recording-and-analysing-serp-via-data-science

🥇Gold

This repository enhances SEO practices by integrating Python development and data science with RPA techniques, fostering a culture of innovation in the SEO ecosystem. It provides tools for recording and analyzing SERP data, crucial for optimizing digital marketing strategies.

25120Updated 4mo ago

Intermediate15 minutes to implementmarketing

Saves ~90 min per use

Quick InstallView Source

claude install KTG1/recording-and-analysing-serp-via-data-science

Works with:

GitHub Copilot

Overview

About This Skill

This skill combines Python development, data science, and robotic process automation (RPA) to retrieve and analyze Google search results pages (SERP). It provides practical tools and notebooks for SEO professionals to examine search algorithms, visualize SERP data, and monitor competitor rankings. The resource includes data science tutorials, visualization techniques, and code examples designed to bring data-driven practices into the SEO workflow. By integrating automation with analytical methods, it helps digital marketers make informed optimization decisions based on real SERP data.

Use Cases

Analyzing SERP trends for keyword optimization

Automating data collection for SEO reports

Visualizing ranking changes over time

Integrating SERP data into marketing strategies

Best For

MarketingGrowth

Setup & Installation

Quick Install

Terminal

claude install KTG1/recording-and-analysing-serp-via-data-science

Alternative Install (Git Clone)

git clone https://github.com/KTG1/recording-and-analysing-serp-via-data-science

Requirements

Claude Code or compatible AI agent
Works with: GitHub Copilot

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Analyze the following SERP data for [COMPANY], a [INDUSTRY] business, to identify trends and opportunities. The data is provided in [DATA] format. Focus on keyword rankings, competitor analysis, and content gaps. Provide actionable insights for improving SEO strategy.

Example Output

# SERP Analysis Report for GreenTech Solutions

## Key Findings
- **Top Performing Keywords**: 'sustainable office solutions' (Position 3), 'eco-friendly workspace' (Position 5)
- **Competitor Insights**: EcoOffice ranks higher for 'green workplace' (Position 2) with a stronger backlink profile
- **Content Gaps**: Lack of content targeting 'remote work sustainability' and 'carbon-neutral offices'

## Recommendations
1. **Content Creation**: Develop blog posts and guides on 'remote work sustainability' to capture emerging search volume
2. **Link Building**: Target high-authority sites in the sustainability niche to improve backlink profile
3. **On-Page Optimization**: Update meta titles and descriptions for 'eco-friendly workspace' to better match search intent
4. **Competitor Benchmarking**: Monitor EcoOffice's backlink acquisition strategy and replicate successful tactics