LAGIC
Lead Audience Growth Intelligence Computing
T

Twitter Tweet Reply Scrape | Tweets — X | Lagic

Built For

Download all replies to any public X (Twitter) tweet for sentiment analysis, brand monitoring, or research.

Curated by Lagic·Verified working

Configure Agent

Enter the tweet ids you want to scrape. Case1: 1846987139428634858,1858743654778892784. Note: conversation_ids is the tweet id of the tweet you want to scrape.

Maximum number of items that you want as output. When conversation_ids is set, this field means the maximum number of items for each conversation.

Results to deliver

100 credits

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

Lagic Proxy

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

Pricing

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

Sample Data Preview

The full text content of each replyEngagement counts for each reply: likes, retweets, quotes, bookmarks, and viewsReply author's profile information: username, display name, bio, follower/following counts, account creation date, and locationAuthor's verification status (e.g., Blue Verified)Tweet metadata: unique ID, conversation ID, and creation timestampLinks to any media (images, videos, GIFs) attached to the reply
Value...846Sample Text...Value...10098https://...
Value...704Sample Text...Value...10097https://...
..................
Exports as:CSVXLSXJSON

Overview

Extracts the full conversation thread from any X (Twitter) post. Provide a Tweet ID to get the reply text, author data, and engagement stats for market research or lead generation.

This tool pulls all the public replies from a specific tweet on X (formerly Twitter). You provide the unique ID of a tweet, and it returns a structured dataset of every comment underneath it. This isn't just the text of the replies; it includes detailed information about the author of each reply—their follower count, bio, location, verification status, and more—along with engagement metrics like likes, retweets, and view counts for each reply. ### Who is this for? This is built for anyone who needs to understand public conversation at scale. Market researchers use it to gauge sentiment on product launches. Brand managers track customer feedback and complaints. Social media agencies monitor the reception of their campaigns and their competitors'. Journalists and academic researchers can analyze public discourse on news events or social issues without manually scrolling through thousands of replies. ### What can you do with the data? The output allows you to move beyond simple mentions and analyze the substance of conversations. You can import the data into a spreadsheet to categorize feedback, identify the most influential voices in a thread, or spot emerging trends in customer requests. By analyzing the author data, you can build a profile of the typical person engaging with a certain account or topic, which is invaluable for audience segmentation and persona development.

Key Capabilities

  • ✓ The full text content of each reply
  • ✓ Engagement counts for each reply: likes, retweets, quotes, bookmarks, and views
  • ✓ Reply author's profile information: username, display name, bio, follower/following counts, account creation date, and location
  • ✓ Author's verification status (e.g., Blue Verified)
  • ✓ Tweet metadata: unique ID, conversation ID, and creation timestamp
  • ✓ Links to any media (images, videos, GIFs) attached to the reply
  • ✓ Data on whether a reply is quoting another tweet or replying to another user in the thread
  • ✓ Analyze customer feedback: Scrape replies to your company's announcement tweet to categorize customer questions, feature requests, and complaints.
  • ✓ Gauge public sentiment: Extract comments from a politician's or public figure's tweet to measure public opinion on a specific issue.
  • ✓ Identify key influencers and critics: Analyze a conversation thread to find users with high follower counts who are repeatedly engaging with a brand or topic.
  • ✓ Monitor competitor mentions: Track replies to a competitor's tweets to find dissatisfied customers you can connect with.
  • ✓ Conduct academic research: Collect data on online discourse for studies on communication, political science, or sociology.
  • ✓ Find user-generated content: Scrape replies to a promotional tweet where you've asked users to share their experiences or photos with your product.

Field Dictionary

How To Run This Extractor

1

Navigate to the tweet on X (Twitter) whose replies you want to extract.

2

Copy the unique numeric ID from the end of the tweet's URL.

3

Paste one or more Tweet IDs into the 'Conversation IDs' input field.

4

Set the maximum number of replies you wish to get from each conversation.

5

Run the tool and wait for the extraction to complete.

6

Download the collected reply data as a CSV, Excel, or JSON file.

Frequently Asked Questions

Do I need to know how to code?
No. You just need the ID of the tweet you want to scrape. You can get this from the tweet's URL.
What format does the data come in?
Is it legal to scrape tweet replies?
How many replies can I scrape from a single tweet?
Can I use this for client work?
How is this different from other X/Twitter scrapers?
How reliable is the data?
Can I schedule this tool to run automatically?
How fresh is the data?
How is the cost determined?
What's the difference between a 'Tweet ID' and a 'Conversation ID'?
Can I scrape replies to a protected or private tweet?