🐦 Twitter/X Recent Replies Scraper – Extract Direct Tweet Replies

Extract recent replies, comments, and conversation threads under any Twitter/X tweet. Get deep details on user interactions, user profiles, engagement metrics, media contents, and quoted tweets. Perfect for social listening, brand reputation analysis, customer feedback audit, sentiment analysis, and social media research!

📋 Table of Contents

• Features
• Use Cases
• Quick Start
• Input Parameters
• Output Format
• Data Fields Explained
• FAQ

🚀 Features

Complete Reply Extraction

• Direct Comments & Replies - Extract all recent replies and comments under any public tweet.
• Detailed User Profiles - Extract author's screen name, display name, user ID, profile picture, description/bio, follower count, friend count, verified status, account creation date, and location.
• Engagement Metrics - Track reply-level statistics: likes/favorites, retweets, replies, quotes, bookmarks, and views.
• Quoted Tweet Integration - Detect and format quoted tweets in responses, including their respective metadata and metrics.
• Rich Media & Entities - Capture inline links, hashtags, user mentions, images, and videos.

Enterprise-grade Scraping

• Automated Pagination - Standardized maxPages configuration to traverse multiple reply levels automatically.
• No Login Required - Scrape public replies safely without linking any developer accounts or browser cookies.

🎯 Use Cases

Use Case	Description	Benefits
Brand Reputation	Monitor feedback and comments on your brand’s announcements	Respond quickly to complaints, identify issues
Sentiment Analysis	Analyze positive, negative, or neutral reactions to posts	Assess public sentiment trends
Customer Support	Fetch support requests and questions posted under public posts	Streamline support replies and response times
Viral Post Audits	Scrape responses on highly viral tweets to understand reactions	Identify viral hooks and engagement triggers
Lead Generation	Identify active users expressing interest under relevant product tweets	Target high-intent prospects

⚡ Quick Start

1️⃣ Single Tweet Reply Scraping

{
  "tweetIds": [
    "1800000000000000000"
  ],
  "maxPages": 2
}

2️⃣ Multiple Tweets and URLs

{
  "tweetIds": [
    "https://x.com/jack/status/20",
    "https://twitter.com/elonmusk/status/1800000000000000000"
  ],
  "maxPages": 5
}

📊 Input Parameters

Configuration Options

Parameter	Type	Required	Description	Default
tweetIds	Array	Yes	List of Tweet IDs or URLs to scrape replies for. Supports status URLs and raw numeric IDs.
maxPages	Integer	No	Max pages of replies to retrieve per tweet (1 page = 1 API call). Range: 1 to 20.	1

📤 Output Format

Reply Result Output Example

{
  "type": "tweet",
  "tweet_id": "1800000000000000002",
  "text": "Completely agree with this perspective on tech growth!",
  "screen_name": "reply_user",
  "created_at": "Wed Jun 12 14:25:00 +0000 2026",
  "favorites": 142,
  "retweets": 8,
  "replies": 3,
  "quotes": 0,
  "bookmarks": 12,
  "views": "1500",
  "lang": "en",
  "source": "Twitter Web App",
  "conversation_id": "1800000000000000000",
  "in_reply_to_screen_name": "tech_enthusiast",
  "in_reply_to_status_id": "1800000000000000000",
  "in_reply_to_user_id": "44196397",
  "author_name": "John Doe",
  "author_username": "reply_user",
  "author_id": "987654321",
  "author_avatar": "https://pbs.twimg.com/profile_images/987654321/photo_400x400.jpg",
  "author_description": "Software engineer and tech blogger.",
  "author_followers": 1250,
  "author_friends": 450,
  "author_favourites": 3200,
  "author_verified": false,
  "author_location": "San Francisco, CA",
  "author_created_at": "Sun Mar 15 10:12:00 +0000 2020",
  "media": null,
  "quoted_tweet": null,
  "parent_tweet_id": "1800000000000000000",
  "scraped_at": "2026-07-08T10:45:00.000Z"
}

📈 Data Fields Explained

Complete Field Reference

Field	Type	Description
type	String	Type of tweet response (usually tweet).
tweet_id	String	Unique Twitter status ID of the reply.
text	String	Plain-text content of the reply.
screen_name	String	Handle of the user who replied.
created_at	String	Timestamp when the reply was posted.
favorites	Integer	Reply likes count.
retweets	Integer	Reply retweets count.
replies	Integer	Nesting reply replies count.
quotes	Integer	Nesting quote count.
bookmarks	Integer	Bookmarks count on the reply.
views	String/Number	Impressions / views of the reply.
lang	String	Language code of the reply.
conversation_id	String	Thread conversation ID.
in_reply_to_screen_name	String	Handle of the user being replied to.
in_reply_to_status_id	String	ID of the tweet being replied to.
author_name	String	Display name of the replying user.
author_id	String	Unique user ID of the replying user.
author_followers	Integer	Follower count of the replying user.
author_verified	Boolean	True if the replying user is verified.
parent_tweet_id	String	The root tweet ID that was searched.
scraped_at	String	Extraction timestamp.

❓ FAQ

Q: What is the difference between this and Twitter X Thread Reader?

A: The Thread Reader collects sequential, linear tweets posted by the original author (or direct continuation of the thread narrative). This scraper collects all public replies and comments posted by various other users on the tweet.

Q: Can I scrape replies from private accounts or tweets?

A: No. Only tweets on public accounts can have their replies scraped.

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🏷️ Keywords & Tags

twitter replies scraper, x replies scraper, extract twitter comments, twitter replies exporter, twitter comments downloader, twitter customer service audit, twitter engagement scraper, twitter sentiment collection, apify twitter scraper, export x comments

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🚀 Get Started Now

1. Click "Try for free" to run this actor.
2. Enter one or more Tweet URLs or IDs in the input field.
3. Configure maxPages to determine the depth of replies you need.
4. Export the resulting replies in JSON, CSV, or Excel format!

⭐ If this actor is useful to your workflow, please leave a star!

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Built by Sachin Kumar Yadav using Apify Platform