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X (Twitter) Post Replies Scraper — X (Twitter) | Lagic

Built ForMarketing AgenciesPublic RelationsMarket Research

Gather X (Twitter) Post Replies for Audience Insights and Engagement Analysis

Curated by Lagic·Verified working

Configure Agent

List of post URLs to process

Maximum number of results to retrieve (between 1 and 1000). If not set, only a few of the first replies will be returned.

If true, the original post will be included as a first reply.

Results to deliver

1,900 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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Country auto-rotated. Need a specific region? Contact support.

Pricing

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

Sample Data Preview

Full text of each replyURL and ID for each replyEngagement metrics for each reply (likes, quotes, reposts, views)Timestamp of when the reply was postedAuthor's display name and screen nameAuthor's bio description
Value...https://...Value...2026-04-05Sample Text...Value...
Value...https://...Value...2026-04-05Sample Text...Value...
..................
Exports as:CSVXLSXJSON

Overview

Extract replies from any X (Twitter) post, including reply text, author details like follower counts, and engagement metrics, to understand public sentiment and conversation trends.

This tool specializes in extracting public replies from specific X (Twitter) posts. Whether you're tracking brand mentions, analyzing public reactions to news, or researching competitor engagement, this scraper provides granular data on who is replying and what they are saying. ### What Data You Get For each reply, you'll receive the full reply text, the ID and URL of the reply, and importantly, details about the author. This includes the author's display name, screen name, description, and key engagement metrics like their follower count, following count, and the number of posts they've liked. You'll also see the reply's engagement metrics: how many likes, quotes, reposts, and views it received. The timestamp of the reply and the ID of the original post are also included. ### How It Helps Your Work By collecting this data, you move beyond surface-level engagement numbers. You can perform sentiment analysis on conversations, identify influential repliers, track how specific topics evolve in discussions, or monitor public opinion around product launches or campaigns. It's a critical asset for social media strategists, market researchers, PR professionals, and anyone needing to dive deep into X (Twitter) conversations.

Key Capabilities

  • ✓ Full text of each reply
  • ✓ URL and ID for each reply
  • ✓ Engagement metrics for each reply (likes, quotes, reposts, views)
  • ✓ Timestamp of when the reply was posted
  • ✓ Author's display name and screen name
  • ✓ Author's bio description
  • ✓ Author's follower count
  • ✓ Author's following count
  • ✓ Author's total likes
  • ✓ ID of the original post
  • ✓ Analyze public sentiment around a brand announcement or product launch by scraping replies to official posts.
  • ✓ Monitor competitor X (Twitter) posts to understand their audience's reactions and identify pain points or opportunities.
  • ✓ Identify influential users engaging with specific topics by examining reply authors' follower counts and engagement.
  • ✓ Track the spread of a news story or viral content by collecting and analyzing the full conversation threads.
  • ✓ Gather qualitative data for market research by extracting discussions on industry-specific posts.
  • ✓ Assess the effectiveness of a marketing campaign by analyzing direct feedback and discussion in post replies.
  • ✓ Build a dataset of user-generated content for training AI models focused on social media understanding.

Field Dictionary

How To Run This Extractor

1

Copy the full URLs of the X (Twitter) posts you want to analyze.

2

Paste the list of post URLs into the 'Post URLs' field.

3

Optionally, set a 'Results Limit' to specify the maximum number of replies to retrieve per post (up to 1000).

4

Optionally, check 'Include original post as first reply' if you want the initial post data included in your results.

5

Run the tool to begin extracting replies and their associated data.

6

Download your structured data file containing all the collected reply information.

Frequently Asked Questions

What kind of X (Twitter) posts can I scrape replies from?
You can scrape replies from any publicly accessible X (Twitter) post URL. Private posts or accounts are not accessible.
Do I need an X (Twitter) account to use this tool?
What are the export formats for the extracted data?
How fresh is the data I receive?
Is there a limit to how many replies I can extract?
Can I include the original post in the results?
How does this tool handle X (Twitter)'s rate limits?
Can I use this for client projects?
What technical skills are needed to use this?
How reliable is the data extraction?
Is it possible to schedule runs?
How is the cost determined?