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Analyze influencer profiles on YouTube, Instagram, and TikTok. Save insights to Google Sheets. Finding the right creators takes way too long. You're jumping between platforms, copy-pasting stats into spreadsheets, and half the data you find is outdated before you even use it. TalentSheets fixes that. Open it on any YouTube channel, Instagram profile, or TikTok page and you get a full analytics card on the spot — follower count, engagement rate, average views, estimated ad value, and a suggested rate range. Hit "Add to Sheet" and it lands straight in your campaign roster. WHAT YOU GET • Live stats pulled directly from the page you're on — not a cached database from 6 months ago • Engagement rate, average views, and estimated ad value calculated automatically • AI-written creator bio and niche tag so you can brief clients without starting from scratch • Best-guess contact email where available • One-click export to Google Sheets — your existing sheet, your existing columns WORKS ON YouTube · Instagram · TikTok WHO USES IT Talent managers, brand partnership teams, and marketing agencies who are tired of paying $400/month for influencer databases that don't cover the creators they actually want to work with. Also useful for small businesses running their first influencer campaign without a big budget. PERMISSIONS TalentSheets only activates on YouTube, Instagram, and TikTok. Sheets access is used solely to write what you choose to save — we don't read anything already in your spreadsheets, and we don't track your browsing. Privacy policy: https://www.talentsheets.com/privacy
Aug 24, 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.