5 items
Automated B2B lead discovery. Search Google, extract emails, export CSV. Filters out social media and e-commerce for quality leads. mnmLeads is a powerful browser extension designed for lead generation professionals, marketers, and sales teams who need to efficiently discover and collect contact email addresses from the web. Key Features: ✅ Batch Google Search - Enter multiple keywords and automatically search Google for relevant pages ✅ Smart Email Extraction - Automatically extracts email addresses from web pages ✅ CSV Export - Export collected emails and detailed logs in CSV format ✅ Multi-page Search - Configure to search multiple pages of Google results ✅ Bilingual Support - Full support for English and Simplified Chinese ✅ Advanced Filtering - Excludes social media platforms and invalid email formats Perfect for: • Lead generation and prospecting • Market research and competitor analysis • Building contact databases • Sales outreach campaigns How to Use: 1. Enter search keywords in the popup 2. Configure parameters in Options (right-click extension icon) 3. Click Start to begin automated search and extraction 4. Export collected emails as CSV when done Privacy & Compliance: • All data is stored locally in your browser • No data is sent to external servers • Respects website access controls • Users are responsible for complying with applicable laws (CAN-SPAM, GDPR, etc.) Important Notes: • Please respect Google's Terms of Service and rate limits • Use responsibly and ethically • Suitable for legitimate business research and lead generation purposes
Nov 22, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.