❤️ Scrape Likers

Get all users who liked a specific tweet. Export likers list with profile metadata.

📋 What It Does

This script provides the following capabilities:

1. Automated operation — Runs directly in your browser console on x.com
2. Configurable settings — Customize behavior via the CONFIG object
3. Real-time progress — Shows live status updates with emoji-coded logs
4. Rate limiting — Built-in delays to respect X/Twitter's rate limits
5. Data export — Results exported as JSON/CSV for further analysis

Use cases:

• Get all users who liked a specific tweet. Export likers list with profile metadata.
• Automate repetitive scrapers tasks on X/Twitter
• Save time with one-click automation — no API keys needed
• Works in any modern browser (Chrome, Firefox, Edge, Safari)

⚠️ Important Notes

Use responsibly! All automation should respect X/Twitter's Terms of Service. Use conservative settings and include breaks between sessions.

• This script runs in the browser DevTools console — not Node.js
• You must be logged in to x.com for the script to work
• Start with low limits and increase gradually
• Include random delays between actions to appear human
• Don't run multiple automation scripts simultaneously

🌐 Browser Console Usage

Steps:

1. Go to x.com/USERNAME/status/ID/likes
2. Open browser console (F12 → Console tab)
3. Copy and paste the script from scripts/scrapeLikers.js
4. Press Enter to run

/**
 * Likers Scraper
 * Get all users who liked a specific tweet
 * 
 * HOW TO USE:
 * 1. Go to a tweet and click on the likes count to open the likers list
 *    OR go directly to x.com/USERNAME/status/TWEETID/likes
 * 2. Open Developer Console (Ctrl+Shift+J or Cmd+Option+J)
 * 3. Paste this script and press Enter
 * 
 * by nichxbt - https://github.com/nirholas/XActions
 */

(() => {
  const CONFIG = {
    MAX_LIKERS: 5000,
    SCROLL_DELAY: 1500,
    FORMAT: 'both', // 'json', 'csv', 'both'
  };

  const sleep = (ms) => new Promise(r => setTimeout(r, ms));

  const download = (content, filename, type) => {
    const blob = new Blob([content], { type });
    const url = URL.createObjectURL(blob);
    const a = document.createElement('a');
    a.href = url;
    a.download = filename;
    a.click();
    URL.revokeObjectURL(url);
  };

  const extractUser = (cell) => {
    try {
      const nameEl = cell.querySelector('[dir="ltr"] > span');
      const handleEl = cell.querySelector('a[href^="/"]');
      const bioEl = cell.querySelector('[data-testid="UserDescription"]');
      const verified = !!cell.querySelector('svg[aria-label*="Verified"]');
      
      const href = handleEl?.getAttribute('href') || '';
      const handle = href.replace('/', '').split('/')[0];
      
      return {
        handle,
        displayName: nameEl?.textContent || '',
        bio: bioEl?.textContent || '',
        verified,
        profileUrl: `https://x.com/${handle}`,
      };
    } catch (e) {
      return null;
    }
  };

  const getTweetId = () => {
    const match = window.location.pathname.match(/status\/(\d+)/);
    return match ? match[1] : null;
  };

  const run = async () => {
    if (!window.location.pathname.includes('/likes')) {
      console.error('❌ Please go to the likes page of a tweet!');
      console.log('   Example: x.com/user/status/123456/likes');
      return;
    }

    const tweetId = getTweetId();
    console.log(`❤️ Scraping likers of tweet ${tweetId}...`);

    const likers = new Map();
    let scrolls = 0;
    let noNewCount = 0;

    while (likers.size < CONFIG.MAX_LIKERS && noNewCount < 5) {
      const cells = document.querySelectorAll('[data-testid="UserCell"]');
      const beforeCount = likers.size;

      cells.forEach(cell => {
        const user = extractUser(cell);
        if (user && user.handle && !likers.has(user.handle)) {
          likers.set(user.handle, user);
        }
      });

      const added = likers.size - beforeCount;
      if (added > 0) {
        console.log(`❤️ Collected ${likers.size} likers...`);
        noNewCount = 0;
      } else {
        noNewCount++;
      }

      window.scrollBy(0, 800);
      await sleep(CONFIG.SCROLL_DELAY);
      scrolls++;

      if (scrolls > 200) break;
    }

    const likerList = Array.from(likers.values());

    console.log('\n' + '='.repeat(60));
    console.log(`❤️ SCRAPED ${likerList.length} LIKERS`);
    console.log('='.repeat(60) + '\n');

    likerList.slice(0, 5).forEach((l, i) => {
      console.log(`${i + 1}. @${l.handle}${l.verified ? ' ✓' : ''} - ${l.displayName}`);
    });
    if (likerList.length > 5) {
      console.log(`   ... and ${likerList.length - 5} more\n`);
    }

    const verified = likerList.filter(l => l.verified).length;
    console.log(`📊 Stats: ${verified} verified accounts`);

    if (CONFIG.FORMAT === 'json' || CONFIG.FORMAT === 'both') {
      download(JSON.stringify({ tweetId, likers: likerList }, null, 2), `tweet_${tweetId}_likers_${Date.now()}.json`, 'application/json');
      console.log('💾 Downloaded likers.json');
    }

    if (CONFIG.FORMAT === 'csv' || CONFIG.FORMAT === 'both') {
      const csv = [
        'Handle,DisplayName,Bio,Verified,ProfileURL',
        ...likerList.map(l => 
          `"@${l.handle}","${l.displayName.replace(/"/g, '""')}","${l.bio.replace(/"/g, '""').replace(/\n/g, ' ')}",${l.verified},"${l.profileUrl}"`
        )
      ].join('\n');
      download(csv, `tweet_${tweetId}_likers_${Date.now()}.csv`, 'text/csv');
      console.log('💾 Downloaded likers.csv');
    }

    window.scrapedLikers = { tweetId, likers: likerList };
    console.log('\n✅ Done! Access data: window.scrapedLikers');
  };

  run();
})();

⚙️ Configuration

📖 Step-by-Step Tutorial

Step 1: Navigate to the right page

Open your browser and go to x.com/USERNAME/status/ID/likes. Make sure you're logged in to your X/Twitter account.

Step 2: Open the browser console

• Chrome/Edge: Press F12 or Ctrl+Shift+J (Mac: Cmd+Option+J)
• Firefox: Press F12 or Ctrl+Shift+K
• Safari: Enable Developer menu in Preferences → Advanced, then press Cmd+Option+C

Step 3: Paste the script

Copy the entire script from scripts/scrapeLikers.js and paste it into the console.

Step 4: Customize the CONFIG (optional)

Before running, you can modify the CONFIG object at the top of the script to adjust behavior:

const CONFIG = {
  // Edit these values before running
  // See Configuration table above for all options
};

Step 5: Run and monitor

Press Enter to run the script. Watch the console for real-time progress logs:

• ✅ Green messages = success
• 🔄 Blue messages = in progress
• ⚠️ Yellow messages = warnings
• ❌ Red messages = errors

Step 6: Export results

Most scripts automatically download results as JSON/CSV when complete. Check your Downloads folder.

🖥️ CLI Usage

You can also run this via the XActions CLI:

# Install XActions globally
npm install -g xactions

# Run via CLI
xactions --help

🤖 MCP Server Usage

Use with AI agents (Claude, Cursor, etc.) via the MCP server:

# Start MCP server
npm run mcp

See the MCP Setup Guide for integration with Claude Desktop, Cursor, and other AI tools.

📁 Source Files

🔗 Related Scripts

Author: nich (@nichxbt) — XActions on GitHub