How to Use Twitter/X Scraper to Extract Data (2026 Guide)

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What is Twitter/X Scraper?

Extract tweets, user profiles, followers, and engagement metrics from Twitter/X for social media analysis.

The Twitter/X Scraper by Apidojo is an advanced data extraction tool that completely bypasses the restrictive and expensive official Twitter API. It allows researchers, marketers, and brands to conduct comprehensive social listening by scraping tweets, retweets, replies, user profiles, and granular engagement statistics. Whether you need to monitor brand mentions in real-time, track the viral spread of specific hashtags, or analyze competitor social media strategies, this scraper delivers high-quality JSON or CSV data. It natively supports advanced Twitter search operators (like `from:`, `since:`, `until:`, `min_faves:`), giving you pinpoint accuracy in your data collection without logging in.

Key Features

Scrape tweets by keyword, hashtag, or advanced search query
Extract comprehensive user profile information and bios
Download highly accurate engagement metrics (likes, retweets, replies, quotes)
Extract media URLs (images, videos, GIFs) embedded in tweets
Filter dynamically by date range, language, and minimum engagement
Scrape entire conversation threads and reply chains
No Twitter account login required (avoids bans)
Bypasses recent Twitter/X read-limit restrictions

How to Extract Data (Step by Step)

Extracting data using the Twitter/X Scraper is incredibly straightforward. It runs entirely in the cloud, meaning you don't need to install any desktop software.

Click the 'Try for Free' button to access the Twitter Scraper on Apify.
Log in to your Apify account or create a new one for free.
Enter your target keywords, hashtags, or specific Twitter usernames.
Adjust the maximum items limit and date ranges if needed.
Click 'Start' and wait for the extraction to finish.
Navigate to the 'Storage' tab to download your tweets in JSON, CSV, or Excel.

Ready to start extracting data?

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What does the exported data look like?

You can export the results into Excel, CSV, JSON, or HTML. Here is a sample of what the raw JSON data looks like:

{
  "type": "tweet",
  "id": "175000123456789",
  "url": "https://twitter.com/elonmusk/status/175000123456789",
  "twitterUrl": "https://twitter.com/elonmusk/status/175000123456789",
  "text": "Excited to announce the new update! 🚀",
  "retweetCount": 12500,
  "replyCount": 3420,
  "likeCount": 85000,
  "quoteCount": 1100,
  "createdAt": "Thu Jan 25 10:30:00 +0000 2026",
  "lang": "en",
  "bookmarkCount": 4500,
  "author": {
    "type": "user",
    "userName": "elonmusk",
    "url": "https://twitter.com/elonmusk",
    "name": "Elon Musk",
    "followers": 165000000
  }
}