Email

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 lead generation by taking a list of LinkedIn profile or company page URLs and extracting publicly available email addresses from their associated websites. It’s for sales teams and recruiters who need to build targeted outreach lists quickly. It works entirely from exported LinkedIn data and avoids any platform scraping. Features Parse CSV/JSON files containing LinkedIn profile or company URLs Extract company website domains from LinkedIn URLs Scrape company ‘Contact’ pages for email patterns Validate extracted emails with syntax and domain checks Output clean lead list with name, company, and email to CSV Usage linkedin_leads --input leads....