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Capture the comment thread on the page you're reading. Export to CSV or JSON. Ask AI questions about every capture. Fluxra captures the public comment thread on the page you're already viewing and turns it into a clean, exportable copy. No copy-paste into spreadsheets. No API keys. You stay on the page you opened. How it works 1. Open a public discussion or product-review page in your browser. 2. Click the Fluxra icon in your toolbar. 3. Press "Capture this page". The result lands in your private Fluxra dashboard within a few seconds. From there you can search, filter, edit the rows, share a read-only link with a teammate, or export the capture as CSV or JSON. Where it works Fluxra knows how to read public discussion threads on sites like Reddit and Hacker News, video comment sections such as YouTube, and product or business review pages across multiple platforms. The full supported list and host_permissions are documented at fluxra.app. Who uses it Founders mining product feedback. Marketers turning comment patterns into ad copy. Indie game developers tracking sentiment review by review after launch. Researchers archiving public discussions for qualitative work. Privacy The extension only reads the page you actively click "capture" on. Nothing runs in the background; every request is HMAC-signed and tied to that one explicit click. Captured content lives in your private dashboard. Pricing Free guest mode — try without signing up. Sign in for unlimited captures and history. Paid plans start at $19/month with full pricing at fluxra.app.
May 4, 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.