Tweet comment Scraper | $0.18/1K Results | Pay Per Result

Tweet Replies Scraper

Collect one page of replies to a public X/Twitter post, including reply text, author information, publication time, engagement metrics, sorting information, and pagination data. It is useful for user-feedback analysis, conversation monitoring, identifying highly engaged viewpoints, and organizing comment-section insights.

What can you do with it?

• Review one page of replies to a public X/Twitter post.
• Sort replies by relevance, recency, or likes.
• Collect reply text, author profile information, publication time, likes, replies, reposts, and quotes.
• Continue collecting later pages with the returned cursor.

Input

Post ID — tweet_id (required)

Enter the numeric post ID. It is the number at the end of the post URL.

Reply sort order — reply_sort_by

Choose how replies are ordered:

The default value is Recency.

Next-page cursor — next_cursor

Leave this blank on the first run. When has_next_page is true, copy the returned next_cursor into the next run to continue collecting the following page of replies.

Output

Each row represents one reply. Results can be viewed in the table, inspected as JSON, or downloaded.

Data included

• 🧭 Reply sort order and reply post ID
• 💬 Reply text, author ID, username, and display name
• 📅 Reply publication time
• ❤️ Likes, replies, reposts, and quotes
• 👥 Reply author's follower and following counts
• 📄 Pagination status, next-page cursor, and the complete raw reply object

Example

{
  "tweet_id": "1803006263529541838",
  "reply_sort_by": "Recency",
  "next_cursor": ""
}

FAQ

Which reply sorting options are available?

You can choose Relevance, Recency, or Likes.

How do I find the post ID?

Copy the numeric value at the end of the X/Twitter post URL.

How do I continue to the next page?

When has_next_page is true, copy the returned next_cursor into the next run.

Can I inspect the original reply object?

Yes. The raw field keeps the complete raw reply object for each result.

What export formats are available?

CoreClaw supports CSV, JSON, JSONL, XLSX, XLS, XML, HTML, and RSS exports.