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Tweet Replies Scraper — X (formerly Twitter) | Lagic

Built ForMarketing AgenciesPublic RelationsMarket Research Firms

Uncover the Conversations and Public Sentiment Around Specific X Posts

Curated by Lagic·Verified working

Configure Agent

Enter tweet IDs to get replies from. Each tweet ID will be processed separately. You can get tweet IDs from tweet URLs (e.g., from the ID is TWEET_ID).

Maximum number of replies to retrieve for each tweet

How to sort the replies

Whether to include nested replies (replies to replies)

Results to deliver

500 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

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Pricing

5 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Full text of each reply, including hashtags, mentions, and URLs.Reply author's username, display name, user ID, and verified status.Engagement metrics for each reply: likes, bookmarks, quotes, retweets, and reply count.Date and time when each reply was posted.Indication if the post is a quote, reply, or retweet.Author's profile details, including follower and following counts, and account creation date.
https://...Sample Text...5012026-04-05Value...2026-04-05
https://...Sample Text...612026-04-05Value...2026-04-05
..................
Exports as:CSVXLSXJSON

Overview

This tool extracts replies to specific X (formerly Twitter) posts, providing detailed data like reply text, author profiles, engagement metrics, and nested conversations to help you analyze public reactions, track sentiment, and understand discourse.

### Understand What People Are Saying The `Tweet Replies Scraper` is designed for anyone needing to dive deep into the conversations happening beneath specific posts on X (formerly Twitter). Instead of manually sifting through comments, this tool automates the collection of reply data, giving you a structured dataset for analysis. ### Data Points for Deeper Analysis For each reply, you'll receive a rich set of information. This includes the full reply text, any embedded hashtags, mentions, or URLs. You'll also get details about the reply's author, such as their username, display name, user ID, and their verification status. To gauge the impact and reach of each reply, the tool provides engagement metrics like the number of likes, bookmarks, quotes, retweets, and even further replies to that specific comment. Beyond the immediate reply, you'll find data on the reply's creation timestamp, its unique ID, and the ID of the original tweet it's responding to, helping you reconstruct conversation threads. For a comprehensive view of the user behind the reply, the tool also extracts additional profile data from the author's legacy information, including their follower and following counts, media count, and when their account was created. ### Tailor Your Data Collection The tool offers flexibility in how you gather your data. You simply provide the IDs of the tweets you're interested in, and the scraper gets to work. You can control the `Maximum Replies Per Tweet` to manage the volume of data. For more granular insights into how conversations unfold, enabling `Include Replies of Replies` allows you to capture nested conversations, revealing the full discussion tree. Additionally, you can `Sort By` replies based on the latest, most popular, or a mixed order, depending on your analytical needs. ### Who Benefits? This data is invaluable for marketers tracking campaign reactions, PR professionals monitoring brand mentions and crisis communications, researchers gathering qualitative data on public opinion, and content strategists identifying audience interests and pain points. By providing structured, detailed reply data, the tool enables a deeper understanding of public discourse on X.

Key Capabilities

  • Full text of each reply, including hashtags, mentions, and URLs.
  • Reply author's username, display name, user ID, and verified status.
  • Engagement metrics for each reply: likes, bookmarks, quotes, retweets, and reply count.
  • Date and time when each reply was posted.
  • Indication if the post is a quote, reply, or retweet.
  • Author's profile details, including follower and following counts, and account creation date.
  • The original tweet ID and the conversation ID for context.
  • Any error messages encountered during the scraping process.
  • Analyze public sentiment and reaction to a new product announcement or marketing campaign on X.
  • Monitor conversations around competitor posts to identify their audience's pain points and engagement strategies.
  • Track public discourse and sentiment following a corporate statement or news event for reputation management.
  • Identify influential users or key opinion leaders engaging in discussions related to specific industry topics.
  • Gather qualitative feedback on content performance by examining replies to specific articles or videos shared on X.
  • Research trending topics and public concerns by analyzing the replies to popular news or influencer posts.
  • Understand customer service issues or common questions by extracting replies to official support tweets.

Field Dictionary

How To Run This Extractor

1

Copy the unique ID from the URL of each X (formerly Twitter) post you wish to analyze.

2

Paste one or more of these tweet IDs into the 'Tweet IDs' input field.

3

Optionally, set a 'Maximum Replies Per Tweet' to control the amount of data collected.

4

Choose how you want to 'Sort By' the replies: latest, popular, or a mixed order.

5

Tick the 'Include Replies of Replies' box if you need to capture nested conversations for deeper analysis.

6

Run the tool, and once complete, download your structured reply data for review.

Frequently Asked Questions

What is the skill barrier to use this tool?
No coding or technical expertise is required. You simply input the Tweet IDs and configure the desired settings through a user-friendly interface.
What export formats are available for the extracted data?
Is the extracted data compliant with X's policies?
How does the tool handle large volumes of tweets or replies?
Can I use this tool for client work?
Can I get replies to replies, or just direct replies to the original tweet?
How can I sort the retrieved replies?
How fresh is the data I receive?
Is there a limit to how many replies I can extract per tweet?
What if a tweet ID is incorrect or the tweet is private?