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Save contacts from LinkedIn and WhatsApp to Notion or Airtable. Turn your LinkedIn and WhatsApp connections into organized leads in seconds. Micro-CRM is the fastest way to save contacts from LinkedIn and WhatsApp Web directly to your Notion databases or Airtable bases. Stop manually copying and pasting details—let Micro-CRM do the heavy lifting for you. 🚀 Key Features: One-Click Save: Instantly capture Name, Job Title, Company, and Profile URL from any LinkedIn profile or WhatsApp chat. ✨ AI Enrichment: Use our built-in AI (powered by Perplexity) to automatically find missing details like work emails, phone numbers, and company info without leaving the page. Seamless Integration: Works perfectly with your existing Notion databases and Airtable bases. Duplicate Detection: Prevents you from saving the same contact twice. Custom Field Mapping: Map data to the exact columns you use in your CRM. 💡 Who is this for? Sales Professionals: Build your lead list faster. Recruiters: Track candidates without manual data entry. Freelancers & Agencies: Manage client relationships effortlessly. Founders: Keep track of investors and partners. 🔒 Privacy First: Your data is yours. Micro-CRM runs locally on your browser and only sends data to the Notion/Airtable accounts you connect. We do not sell or store your contact lists. Pricing: Free Plan: 50 saves per month (forever free). Pro Plan: Unlimited saves and priority support. Get started today and turn your browser into a powerful CR
Nov 21, 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.