5 items
Extract comments from a LinkedIn post and download them as CSV/JSON. Turn any LinkedIn post into a qualified lead list in seconds. Comment Extractor automatically pulls every comment—names, headlines, profile URLs, timestamps, and more—into a clean CSV or JSON file. Perfect for sales teams, founders, and marketers who want to identify engaged prospects fast. 🚀 Why Comment Extractor? People who comment on industry-specific posts are already showing interest. Use that intent signal to: Build highly relevant outreach lists Identify prospects who are actively engaging in your niche Understand your audience’s pains, questions, and buying signals Speed up lead research and qualification ✨ Key Features One-click extraction of all LinkedIn comments Export to CSV or JSON Collects: • Commenter name • LinkedIn profile URL • Headline • Comment text • Timestamp • Comment URL • Profile type (verified/not verified) • Degree of connection • Premium profile (yes/no) • Reactions to the comment Options • Auto-scroll to load more comments automatically • Option to exclude post author • Option to remove duplicate commenters Works directly on any LinkedIn post page (not feed preview) 🧠 Perfect for Sales reps doing outbound SDRs & BDRs Founders validating demand Marketers analyzing engagement Recruiters sourcing candidates ▶️ How it works Open a LinkedIn post Launch Comment Extractor Select your extraction options Export your data as CSV or JSON
Jan 20, 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.