ScreamingFrogR

🥈Silver

ScreamingFrogR automates SEO tasks by processing exports from the Screaming Frog SEO Spider tool. Designed for SEO professionals and analysts working with crawl data.

920Updated 2mo ago

Intermediate30min to implementmarketing

Saves ~90 min per use

Quick InstallView Source

git clone https://github.com/remibacha/ScreamingFrogR.git

Works with:

Claude

Overview

About This Skill

ScreamingFrogR is an R-based project that automates SEO tasks by working with data exported from Screaming Frog SEO Spider. It targets SEO professionals and data analysts who regularly handle large crawl datasets and want to streamline repetitive analysis workflows. By leveraging R's data processing capabilities, the skill enables users to work programmatically with Screaming Frog export files rather than manually reviewing them. The project is maintained by Rémi Bacha and is available as an open-source repository on GitHub.

Use Cases

Automate analysis of Screaming Frog crawl export CSV files

Process large-scale site audit data programmatically using R

Streamline repetitive SEO reporting tasks from crawl exports

Batch-process technical SEO data for multiple site crawls

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/remibacha/ScreamingFrogR

Requirements

Claude Code or compatible AI agent
Works with: Claude

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 Screaming Frog export data for [WEBSITE] and identify the top 10 SEO issues. Provide a prioritized list with actionable recommendations for each issue. Focus on [INDUSTRY] best practices and include any relevant metrics from the export.

Example Output

# SEO Issues Report for [WEBSITE]

## Top 10 SEO Issues

1. **Missing Meta Descriptions**
   - **Issue**: 45% of pages are missing meta descriptions.
   - **Recommendation**: Write compelling meta descriptions for all pages. Use keywords naturally and keep it under 160 characters.
   - **Priority**: High

2. **Broken Links**
   - **Issue**: 12 broken internal links and 8 broken external links.
   - **Recommendation**: Fix or remove broken links. Use 301 redirects if necessary.
   - **Priority**: High

3. **Duplicate Content**
   - **Issue**: 15 instances of duplicate content.
   - **Recommendation**: Rewrite or canonicalize duplicate content to avoid SEO penalties.
   - **Priority**: Medium

4. **Slow Page Load Times**
   - **Issue**: Average page load time is 4.2 seconds.
   - **Recommendation**: Optimize images, leverage browser caching, and minify CSS/JS.
   - **Priority**: Medium

5. **Missing Alt Text**
   - **Issue**: 30% of images are missing alt text.
   - **Recommendation**: Add descriptive alt text to all images for better accessibility and SEO.
   - **Priority**: Low

## Additional Recommendations
- Ensure all pages have unique and descriptive title tags.
- Improve internal linking structure to enhance crawlability.
- Regularly audit the website for new SEO issues.

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