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Twitter X Scraper Post Timeline Search # Replies, Pay by result — Twitter X | Lagic

Built For

Extract Key Data from Twitter X Posts, Timelines, Hashtags, and Replies

Curated by Lagic·Verified working

Configure Agent

choose type scraper

Add a list of Posts/usernames/hashtags/tweet_id You can add them one per line.

number of engagers for scraping, 1-10000 are the allowed values

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

Post text contentNumber of likes (favorites)Number of quotesNumber of repliesNumber of reposts (retweets)Post creation timestamp and date
Value...9162749231952026-04-05
Value...459229162602026-04-05
..................
Exports as:CSVXLSXJSON

Overview

This tool extracts public data from Twitter X, including post text, engagement metrics like likes and replies, user details, and creation dates. It's ideal for market research, competitor analysis, and social listening.

### Understand Twitter X Conversations and Trends This Twitter X Scraper allows you to collect specific data from the platform, tailored to your needs. Instead of manually sifting through countless posts, you can automate the collection of crucial information, whether it's understanding the activity on a user's timeline, monitoring specific hashtags, analyzing search results, or diving deep into tweet replies. Choose your scraping focus: retrieve posts from a user's timeline, track mentions via hashtags, gather results from a keyword search, or collect replies to specific tweets. You provide the targets – usernames, hashtags, tweet IDs, or search terms – and the tool handles the data extraction. ### Data Points for Deeper Insights The output provides a structured dataset with valuable information about each post. You'll get the full post text, its creation date and time, and direct links to both the post and the user's profile. Crucially, it captures key engagement metrics: the number of likes, quotes, replies, and reposts (retweets). For each user associated with a post, you'll see their full name, unique ID, profile picture URL, and whether their account is private or verified. This detailed data helps you go beyond surface-level observations, allowing for quantitative analysis of engagement, content trends, and user behavior on Twitter X. It's designed for anyone needing structured data for analysis, reporting, or integration into other systems.

Key Capabilities

  • ✓ Post text content
  • ✓ Number of likes (favorites)
  • ✓ Number of quotes
  • ✓ Number of replies
  • ✓ Number of reposts (retweets)
  • ✓ Post creation timestamp and date
  • ✓ Direct link to the post
  • ✓ Direct link to the user's profile
  • ✓ Original search term used
  • ✓ Source client of the post (e.g., 'Twitter for iPhone')
  • ✓ Type of content (e.g., tweet, reply)
  • ✓ User's full name
  • ✓ User's unique ID
  • ✓ User's profile picture URL
  • ✓ User's account privacy status
  • ✓ User's account verification status
  • ✓ Monitor brand mentions and sentiment by scraping posts related to specific hashtags or search terms.
  • ✓ Analyze competitor activity by extracting recent posts from their timelines and evaluating engagement metrics.
  • ✓ Identify trending topics and keywords by collecting data from broad search queries.
  • ✓ Perform academic research on social media discourse by gathering replies to specific public tweets to understand conversation flows.
  • ✓ Track influencer performance by monitoring post engagement (likes, replies, reposts) on their timelines.
  • ✓ Build datasets for machine learning models that analyze text content or predict viral potential.
  • ✓ Inform content strategy by identifying which types of posts and topics generate the most engagement within a niche.

Field Dictionary

How To Run This Extractor

1

Choose the type of data you want to scrape: user timelines, hashtags, search results, or replies to specific tweets.

2

Enter the specific usernames, hashtags, tweet IDs, or search terms you wish to target into the input field.

3

Specify the maximum number of results you want to retrieve per input item, up to 10,000.

4

Run the tool, and it will begin collecting the requested public data from Twitter X.

5

Once the run is complete, download your structured dataset containing post content, engagement metrics, and user details.

Frequently Asked Questions

What kind of data can I get about a user's posts?
You will receive the full text of their posts, the number of likes, quotes, replies, and reposts each post received, its creation date, and direct links to the post and the user's profile. You'll also see if the user is verified or has a private account.
Can I scrape replies to specific tweets?
Do I need any coding skills to use this tool?
In what formats can I export the extracted data?
Is it possible to schedule recurring data extractions?
How reliable is the data extraction?
What if I need a very large number of results?
How does this tool handle X's anti-scraping measures?
Is the data collected in compliance with regulations?
How is the cost determined for using this scraper?
Can I get historical data, or only recent posts?
What if I want to track a specific user's entire timeline?