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Highlight and click-to-dial any phone number on any website. Powered by dylr. contact center. Turn any webpage into a dialer. dylr. detects phone numbers on any website you visit — your CRM, LinkedIn, lead databases, or anywhere — and lets you click-to-dial instantly using your own business phone numbers. 🔍 SMART NUMBER DETECTION One click activates the scanner. dylr. highlights every phone number on the page with a subtle green badge. No manual copying, no switching tabs. 📞 CLICK-TO-DIAL Click any highlighted number and a caller ID picker appears. Choose which of your business numbers to call from, then the call connects via WebRTC — all without leaving the page. 📍 LOCAL PRESENCE Your org's full number inventory is available. Pick the number that matches your lead's area code for higher answer rates. 🧩 WORKS EVERYWHERE LinkedIn, Salesforce, HubSpot, Zoho, Google Sheets, company websites — if there's a phone number on the page, dylr. can dial it. ⚡ HOW IT WORKS 1. Sign in to your dylr. account at getdylr.com 2. Visit any website 3. Click the phone icon (bottom-right) to highlight all numbers 4. Click a number → pick your caller ID → call connects 5. That's it. No extra software, no desk phone needed. 🔒 PRIVACY & SECURITY • Authenticates via your existing getdylr.com session • No data is stored locally — all calls route through your secure org account • Phone number detection runs entirely in your browser (no data sent to external servers) • Only communicates with getdylr.com APIs Built for sales teams, recruiters, and anyone who dials. Requires an active dylr. account at getdylr.com.
May 19, 2026
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.