Tool

This tool analyzes Shopify order exports and product data to calculate real profit margins. It’s for merchants who use Shopify’s ‘Cost per item’ field but lack consolidated profit reports. It turns raw CSV exports into a clear profit summary. Features Parse Shopify order and product CSV exports Match line items to product costs using SKU or variant ID Calculate gross profit per item and per order Generate summary report with total revenue, cost, and profit Export results to a formatted CSV or JSON file Usage profit_calculator --orders orders_export....

This tool processes raw, messy scraped job data from Amazon’s careers pages. It’s for Python developers and data analysts who need stable, structured datasets for analysis. It handles common scraping inconsistencies like duplicate entries, broken HTML, and varying date formats. Features Deduplicate listings by job ID and title — removes exact and fuzzy duplicates Standardize date formats — converts various string formats to ISO 8601 Clean HTML artifacts — strips tags and normalizes whitespace from description fields Validate and structure location data — parses city, state, country into separate columns Export to clean CSV or JSON — outputs a consistent, analysis-ready file Usage amazon_job_cleaner --input messy_listings....

This tool processes CSV exports from Google Ads, Microsoft Advertising, and Meta Ads. It normalizes data, calculates key metrics, and generates a unified performance report. It’s for marketers and agencies who need to compare campaigns across platforms without manual spreadsheet work. Features Merge multiple platform CSV exports into a single dataset Calculate cross-platform KPIs (ROAS, CPA, CTR) Generate summary report in JSON, CSV, and Markdown formats Filter and segment data by date range, campaign name, or status Detect data anomalies and missing required columns Usage ppc_analyzer --google ads_data....

This tool processes exported LinkedIn search results (CSV) and applies user-defined rules to score, filter, and rank profiles. It’s for recruiters and sales teams who need to prioritize leads from LinkedIn without using the platform’s automation limits. The key benefit is a clean, prioritized list ready for manual outreach. Features Load and parse LinkedIn Sales Navigator or Recruiter CSV exports Define scoring rules based on title keywords, company, location, and connections Filter out profiles based on criteria like ’exclude recruiters’ or ‘only Fortune 500’ Sort and rank the final list by a calculated priority score Export the processed results to a new, clean CSV file Usage linkedin_rules --input leads....

This tool reads your Shopify product data and generates SEO-optimized meta descriptions by dynamically inserting values from your metafields. It’s for developers and store owners who want to leverage custom product data for better search results without manual editing. Saves time and improves page relevance. Features Parse Shopify product CSV/JSON exports — extracts titles, descriptions, and metafields Template engine for meta descriptions — uses {braces} to insert metafield values Bulk processing — generates descriptions for hundreds of products in one run Output to CSV or HTML — creates files ready for import or direct use Custom fallback values — defines text to use if a metafield is empty Usage metagen --input products....

A standalone Python tool that generates PDFs from HTML files or live webpages. It’s for developers who need to automate report generation or document archiving without external services. The key benefit is a single, dependency-free executable that works anywhere. Features Convert local HTML files to PDF Fetch and convert live URLs to PDF Set custom page size and margins Add headers and footers with page numbers Run as a CLI tool or import as a Python library Usage html_to_pdf convert --input report....

A Python tool for analysts and developers to combine Excel files for reporting. It merges data from multiple workbooks and sheets into a single, organized file, saving hours of manual copy-paste work. Features Merge multiple .xlsx and .xls files into one workbook Combine all sheets or select specific ones by name Preserve original formatting and data types Handle large datasets with efficient memory usage Command-line interface for batch processing Usage import excel_merger merged_df = excel_merger....

This tool logs into your Amazon Ads account and downloads campaign performance reports. It’s for Python developers managing Amazon Ads who need to automate daily data collection. Saves hours of manual work. Features Authenticate securely with Amazon Ads API Download Sponsored Products campaign reports Schedule daily automated report runs Export data to CSV with custom date ranges Handle API rate limits and errors automatically Usage from amazon_ads_tool import Reporter reporter = Reporter(credentials_file='creds....

A Python library for programmatically creating product mockups and custom designs. It’s for developers building print-on-demand, merch, or labeling apps. Exports production-ready, clean SVG files with properly grouped elements. Features Programmatically place and transform text on SVG templates Precisely position and scale raster images (PNG, JPG) within SVG Export clean, minified SVG code with no editor metadata Layer management for reordering design elements Batch processing to generate multiple design variants Usage from product_customizer import Customizer c = Customizer('template....