Professional

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....

Creates rule-based automation workflows for LinkedIn activities using exported data files. Processes connection requests, messages, and content engagement based on custom criteria. Works with exported LinkedIn data to plan automated actions. Features Parse exported LinkedIn CSV data for contacts and activity history Create conditional rules for connection acceptance based on profile criteria Generate message templates for different contact categories Schedule engagement actions based on time intervals and user behavior Export action plans to standard formats for third-party automation tools Usage python linkedin_rules....

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....