Lead Finder v1.2

This upgrade adds

• Multi-search-source collection: DuckDuckGo + Bing + Google parser layer
• Company name extraction from page title / meta / H1 / domain
• Email quality filter with high / medium / low
• More personalized letters using company_name, country, keyword, and business hint
• Expanded keyword library for glass beads / road marking / traffic safety buyers
• Improved Excel / CSV output fields
• Master database dedupe still based on (website, email)

Important production note

This version includes parser support for public Google / Bing / DuckDuckGo result pages. Because search engine HTML and anti-bot behavior can change at any time, production use is more stable when later switched to API, proxy, or browser automation.

Main output files

• leads.csv
• leads.xlsx
• letters.txt
• followup.csv
• due_followups.csv
• leads_master.csv

New lead fields

• company_name
• email_quality
• email_quality_reason
• search_source
• source_count
• score
• score_reason

Suggested usage order

1. Update keywords.txt
2. Fill your sender info in config.py
3. Test python3 main.py
4. Check leads.xlsx and letters.txt
5. Only then consider enabling SMTP auto send

Email auto-send safety

Keep these OFF until your templates and SMTP are fully tested:

• AUTO_SEND_EMAILS = False
• SEND_INITIAL_EMAILS = False
• SEND_FOLLOWUP_EMAILS = False

macOS daily schedule

1. Open Terminal in this project folder
2. Copy the plist: cp com.leadfinder.daily.plist ~/Library/LaunchAgents/
3. Load it: launchctl load ~/Library/LaunchAgents/com.leadfinder.daily.plist
4. Check status: launchctl list | grep leadfinder