3 items
Automate the scraping and exporting of comments from multiple tweet URLs directly to Excel or CSV. Automate the collection of comments from multiple tweets without the need to gather them one by one. This extension allows you to paste multiple tweet URLs, and it automatically visits each tweet to scrape the comments. The exported CSV file includes numerous fields such as the content of the comment, the timestamp of the comment, and the commenter's profile information. This includes the Name, Handle, Bio, the number of followers, whether the commenter can be DM'ed, their location, as well as the number of likes, favorites, and retweets on the comment. This provides you with comprehensive data analysis dimensions. 🙂How it works: 1. Ensure you are logged in to your Twitter/X account. 2. Open the extension and paste all the tweet URLs, one URL per line, then click [Start Export] button 3. Wait for a moment while the extension collects comments of these tweets 4. You can download all comments from any tweet either during the scraping process or after it has completed. 🔒Data Privacy: Protecting the privacy and security of user data is our foremost concern. We cherish the trust our users place in us and are dedicated to maintaining the strictest data protection protocols, in compliance with privacy laws such as GDPR and CCPA. ✉️Contact us: If you have any feedbacks or suggestions, please don't hesitate to reach out to us at xtcodetech+bulkrepliesexport@gmail.com
Aug 17, 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.