csv-url-parser

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Parse URLs in CSV files and extract query parameters as new columns. Use when working with CSV files containing URLs that need parameter extraction and analysis.

⭐2stars🔀1forks📁View on GitHub🕐Updated Dec 22, 2025
[Data Cleaning]

When & Why to Use This Skill

The CSV URL Parser is a specialized Claude skill designed to automate the extraction of query parameters from URLs within CSV files. It intelligently transforms raw URL strings into structured data by adding new, organized columns for each parameter found. This tool is essential for data analysts and marketers who need to clean messy datasets and convert complex web links into actionable insights without manual data entry.

Use Cases

  • Marketing Attribution: Automatically extract UTM parameters (source, medium, campaign) from tracking URLs to analyze the effectiveness of different marketing channels.
  • SEO Analysis: Parse and audit URL structures in bulk to identify tracking IDs, session parameters, or facets that may affect search engine crawling and indexing.
  • E-commerce Insights: Extract product IDs, search queries, and filter categories from internal site links to better understand user navigation and intent.
  • Data Enrichment: Convert unstructured URL logs into clean, multi-column spreadsheets ready for import into BI tools like Tableau, PowerBI, or Google Data Studio.
namecsv-url-parser
descriptionParse URLs in CSV files and extract query parameters as new columns. Use when working with CSV files containing URLs that need parameter extraction and analysis.
allowed-toolsRead, Write, Bash, Glob

CSV URL Parser

This skill extracts query parameters from URLs in CSV files and adds them as new columns.

Instructions

  1. Identify CSV files: Look for CSV files in the current directory or specified path
  2. Analyze URL column: Find the column containing URLs (looks for 'url' or 'URL' headers)
  3. Extract parameters: Parse all query parameters from URLs
  4. Create new columns: Add parameter names as new column headers
  5. Process data: Fill new columns with parameter values (multiple values joined with '|')
  6. Save results: Update the CSV file with new columns

Implementation

The skill uses Ruby to process CSV files. Run the processing script:

ruby scripts/process_csv.rb [file1.csv file2.csv ...]

If no files are specified, it processes all CSV files in the current directory.

The script will:

  • Read CSV files with headers
  • Extract query parameters from URLs using URI parsing
  • Handle multiple values for the same parameter (joined with '|')
  • Preserve original data while adding new parameter columns
  • Handle malformed URLs gracefully

For detailed examples, see EXAMPLES.md.

Usage Examples

Process all CSV files in current directory:

Parse URLs in my CSV files

Process specific CSV file:

Extract URL parameters from data.csv

Analyze URL parameters:

Show me what parameters are in the URLs from this CSV

Requirements

  • Ruby with standard libraries (CSV, URI, CGI)
  • CSV files must have headers
  • URL column should be named 'url' or 'URL'

Output

  • Original CSV file updated with new parameter columns
  • Multiple parameter values separated by '|'
  • Preserves all original data
  • Handles empty/missing parameters gracefully