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Scan any webpage to detect company and contact details, enrich leads with live data, and save them to Find Me Sales. Find Me Sales brings instant lead discovery and enrichment directly into your browser. Work directly from LinkedIn, company websites, and directories - detect companies, decision-makers, emails, and contact details in one click, then add and act on them inside Find Me Sales. Build your pipeline while you browse - not after. What you can do with the extension: - Instantly scan the current page for company details, emails, and phone numbers - Add companies directly into your Find Me Sales CRM in one click - Enrich records with AI-powered research and verified data - Sync activity back to your leads automatically - Add tags to organise companies and structure outreach - Add notes to companies without leaving the page - Launch your workflow from a floating button on any website - Automatically extract and link verified Companies House records (UK) - Vote on which sites and integrations to support next The extension only activates when you click it. Nothing runs automatically in the background without your action. Find Me Sales is built for: - Sales teams and founders doing outbound - Recruiters and talent teams - Agencies and consultants - Business development and partnerships - Anyone who needs accurate company and decision-maker data fast How it works: 1 - Browse the web as normal 2 - Click the Find Me Sales button 3 - Scan the page and enrich the company 4 - Save directly to your CRM in seconds Get a free Find Me Sales account to use full features. Start free at https://findmesales.com with starter credits.
Jul 5, 2026
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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.