Tool

A Python CLI tool for developers and data analysts to process large batches of text files. It reads from a CSV manifest, applies cleaning rules, and outputs standardized files. Saves hours of manual text editing. Features Process thousands of .txt, .md, and .log files from a CSV manifest Apply regex find-and-replace rules defined in a JSON config file Remove duplicate lines, trim whitespace, and standardize line endings Append or prepend headers/footers based on file metadata Generate a detailed processing report in JSON format Usage batch_text_processor --manifest files....

A Python CLI tool that processes daily email export files (CSV/JSON) to extract key metrics and content. It’s for developers and analysts who need automated, scheduled reporting from their email archives. The key benefit is generating consistent, formatted reports without manual data entry. Features Process daily email exports in CSV or JSON format Extract key metrics: sender, subject, date, and word count Generate summary reports in JSON, CSV, and plain text Filter emails by date range and sender domain Schedule automated daily runs via cron or systemd Usage python daily_email_extractor....

This tool automates the extraction of property value estimates for lists of addresses or Zillow Property IDs (ZPID). It is for real estate analysts and investors who need to gather market data without manual copying. It processes data from CSV files and outputs structured results. Features Batch process addresses from CSV files Accept Zillow Property IDs (ZPID) as input Extract Zestimate, value range, and last updated date Export results to CSV or JSON format Handle rate limiting and retries for robust scraping Usage python scraper....

This Python CLI tool reads a CSV file containing Amazon product URLs and scrapes current prices, titles, and availability daily. It’s for developers and analysts who need to track price fluctuations for market research or personal use. Outputs clean JSON or CSV reports for easy analysis. Features CSV input — Provide a list of product URLs in a simple CSV file Daily scraping — Schedule daily price checks with cron or Task Scheduler Robust parsing — Extracts price, title, availability, and ASIN from product pages Multiple outputs — Save results as JSON, CSV, or append to a log file Error handling — Skips invalid URLs and logs errors for review Usage amazon-tracker --input urls....

A Python CLI tool that creates professional, branded PDF sales receipts from exported order data. It’s for developers and small businesses who need to automate receipt delivery after processing payments via Stripe, PayPal, or custom platforms. Saves hours of manual work by batch processing orders from a simple data file. Features Batch generate PDFs from a CSV or JSON file Apply custom branding with logo, colors, and footer text Auto-calculate totals, taxes, and line items Support for multiple currencies and date formats Merge customer data and output organized receipt files Usage pdf_receipt_generator --input orders....

This tool processes exported Google Maps search results (saved as HTML files) and extracts business listings into a clean CSV. It’s for researchers, marketers, and developers who need structured location data without manual copying. Works with data exported from Google Maps. Features Parse HTML files containing Google Maps search results Extract business name, address, phone number, and website Export cleaned data to a structured CSV file Handle pagination by processing multiple exported HTML files Configurable output fields via a simple JSON settings file Usage from maps_extractor import process_export process_export('search_results....

A Python CLI tool that processes TecDoc catalog data exports (CSV, Excel) to extract and structure vehicle parts information. For automotive developers and data analysts who need clean, queryable parts data without manual work. Outputs standardized JSON or CSV for integration. Features Parse multi-sheet TecDoc Excel catalogs into structured tables Extract part numbers, descriptions, and vehicle compatibility mappings Clean and normalize manufacturer and OE reference numbers Export to flat CSV or nested JSON for easy database import Filter results by vehicle make, model, year, or part category Usage td_extract --input tecdoc_export....

Python CLI tool that fetches live traffic data using Google Maps API keys. Helps developers and analysts build traffic-aware applications without complex scraping infrastructure. Features Fetch current traffic conditions for specified routes Export traffic data as JSON or CSV files Batch process multiple origin-destination pairs from input file Cache results to minimize API calls and costs Filter results by traffic severity levels Usage python traffic_scraper.py --api-key YOUR_KEY --origin "New York" --destination "Boston" --output traffic_data....

This tool automatically translates FvwmTabs Perl scripts into Python code, preserving window manager logic. It’s for FVWM users and sysadmins who want to maintain their custom setups without Perl dependencies. The key benefit is future-proofing your desktop configuration with a clean Python codebase. Features Parses FvwmTabs Perl syntax and translates core functions Generates Python classes for FVWM modules and menu definitions Preserves comments and original structure where possible Outputs runnable Python 3 code with standard library imports Includes a validation mode to check translation accuracy Usage fvwm_converter --input ~/....

This Python script processes exported Amazon product data (CSV/JSON) to extract and organize brand names and active promotion details. It’s for developers and analysts who need to analyze competitor promotions and brand presence without live scraping. The key benefit is clean, structured data from your own exports. Features Parse exported Amazon product listings from CSV or JSON files Extract and deduplicate brand names from product data Identify and list promotion keywords (e....

This tool uses OCR and computer vision to detect and read form fields in a photo, then outputs the data to an Excel file. It’s for researchers, field workers, and office staff who need to digitize paper forms quickly. The key benefit is automating manual data entry from images. Features Extract text from form photos using Tesseract OCR Detect checkboxes and radio buttons via image processing Map extracted data to structured Excel columns Process multiple photos into a single consolidated Excel file Handle common form layouts like tables and labeled fields Usage photo_to_excel --input-form-photo survey_photo....

This tool processes a Facebook group data export (JSON) and extracts all posts and comments into clean, organized CSV files. It’s for group admins and researchers who need to archive or analyze discussions offline. The key benefit is turning Facebook’s complex nested JSON into simple, spreadsheet-ready data. Features Extract posts with metadata (author, timestamp, reactions) Extract all comments and nested replies with threading Handle media links and post attachments in export Output to separate, well-structured CSV files Filter exports by date range or specific authors Usage facebook_group_export --input your_facebook_data/group_activity....