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Export GitHub PR review comments with file paths, line numbers, and code suggestions. Customize with AI-assisted review prompts. What It Does GitHub PR Review Exporter streamlines your code review workflow by instantly exporting GitHub Pull Request review comments to your clipboard in a clean, structured format. Each export includes: - File path – Know exactly which file the review targets - Line numbers – Precise location info (e.g., "Comment on lines +123 to +125") - Full comment content – Including suggestion code blocks in raw markdown - AI bot detection – Automatically labels and cleans up reviews from GitHub Copilot and OpenAI Codex Why Install It - Perfect for AI-Assisted Workflows – Export reviews and paste them directly into ChatGPT, Claude, or other AI tools. Add custom instructions that guide the AI on how to evaluate each suggestion. - Batch Export Saves Time – One click exports ALL unresolved review comments from a PR. No more copying threads one by one when addressing feedback. - Smart Content Extraction – Gets the raw markdown from comments, including those tricky suggestion blocks that normally require manual formatting. - Zero Data Collection – Works entirely locally. No external servers, no analytics, no tracking. Your code stays private. Key Features ✅ Export single review comments with one click ✅ Export with custom AI instruction prepended ✅ Batch export all unresolved reviews at once ✅ Edit instructions directly on GitHub (no popup needed) ✅ Detects AI reviewers (Copilot, Codex) and removes boilerplate ✅ Syncs your custom instruction across devices via Chrome
Mar 19, 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.