5 items
Email Extractor Tool can export followers and following to Excel/CSV formats (including email and phone data) with one click. Social Media Email Scraper is a professional tool for marketers, agencies, and growth teams. Instantly collect public email addresses and contact information from social media account followers or following lists — and export collected data to Excel, CSV, or JSON with one click. 🔍 HOW TO USE · Install the extension and open it from your Chrome toolbar. · Enter any public social media username or account. · Select Followers or Following to collect data. · Click Start — the scraper runs automatically. · Once complete, export your data to CSV, Excel (XLS), or JSON instantly. --- ✅ FEATURES ✓ Extract public email addresses from social media profiles at scale ✓ Collect emails from followers, following lists, or any public account ✓ Unlimited Followers / Following export ✓ One-click export to XLS (Excel) / CSV / JSON ✓ Auto-download when data collection is complete ✓ Smart randomized intervals for efficient large-scale data collection ✓ Full profile data extraction: follower count, following count, post count, biography, public email, phone number, external URL, and address --- 📋 FULL PROFILE DATA ✓ Email Address ✓ Phone Number ✓ Username ✓ Biography ✓ Follower Count ✓ Following Count ✓ Posts Count ✓ External URL ✓ Address --- ⚠️ DISCLAIMER This extension only collects publicly available information. Users are responsible for ensuring their data collection activities comply with applicable laws, platform policies, and privacy regulations. This tool is not affiliated with or officially connected to any social media platform or its affiliates.
Aug 7, 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.