⚡ Twitter (X) Comment Scraper

Extract comments, replies, and engagement metrics from any X (Twitter) post at scale.
No login credentials, no API keys, no session cookies required.

• 🌐 LINK: Twitter Comment Scraper

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🔥 Why Choose This Scraper?

Extracting Twitter/X comments using official APIs or session-heavy scrapers is expensive, fragile, and rate-limited. This scraper solves all those pain points:

• 🔓 Zero-Authentication: No Twitter login, password, or developer API token needed.
• ⚡ Ultra-Fast Performance: Scrapes 20+ replies in under 2 seconds.
• 💰 Cost-Effective: Highly optimized compute consumption — cost scales at ~$5.00 per 1,000 extracted results.
• 🎯 Smart Filters & Sorting: Filter out low-quality comments by minimum likes and sort replies by Relevance, Recency, or Likes.
• 📊 Rich Metadata: Captures full user profiles (bio, followers, location, verification status), media attachments (images, video URLs), and post interaction metrics.
• 🛡️ Built for Scale: Cloud-ready on Apify with automatic retries and anti-blocking measures built-in.

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💡 Key Use Cases

Industry / Role	Use Case
Growth & Lead Gen	Find prospective buyers replying to competitor tweets or industry conversations.
Sentiment Analysis	Measure audience reactions to product launches, PR campaigns, or viral posts.
Brand Protection	Monitor replies on brand posts to catch negative feedback or support requests early.
Influencer Vetting	Analyze comment authenticity and sentiment before locking in influencer sponsorships.
AI Data Training	Gather high-quality public conversational data to train LLMs or sentiment classifiers.

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📊 Extracted Data Overview

Every scraped item returns comprehensive, structured JSON containing:

• Reply Content: Full text, language, timestamp, reply chain IDs, source app.
• Engagement Metrics: Likes, retweets, quotes, bookmarks, and view counts.
• User / Author Profile: Screen name, display name, user bio, follower/following counts, location, created date, verification status, and avatar URLs.
• Media Attachments: High-res image URLs, video streams, thumbnail URLs, and duration.

{
  "id": "1815123456789012345",
  "text": "This feature saves so much time! Great work team 🚀",
  "createdAt": "Sun Jul 26 01:00:00 +0000 2026",
  "likeCount": 142,
  "retweetCount": 12,
  "replyCount": 3,
  "viewCount": 8500,
  "author": {
    "username": "tech_enthusiast",
    "name": "Jane Doe",
    "description": "Building cool stuff with Python & AI.",
    "followersCount": 12500,
    "isVerified": true,
    "profileImageUrl": "https://pbs.twimg.com/profile_images/..."
  },
  "media": []
}

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🚀 Quick Start Guide

Option 1: Run on Apify Cloud (Recommended)

1. Open the Twitter (X) Comment Scraper on Apify.
2. Enter one or more Tweet URLs.
3. Choose your desired sorting option (Relevance, Recency, or Likes).
4. Hit Start and download your dataset as JSON, CSV, or Excel.

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Option 2: Run via Apify Python Client

from apify_client import ApifyClient

# Initialize client with your Apify API token
client = ApifyClient("YOUR_APIFY_TOKEN")

# Prepare actor input
run_input = {
    "tweetUrls": [
        "https://x.com/elonmusk/status/1815000000000000000"
    ],
    "maxComments": 100,
    "sortBy": "relevance",
    "minLikes": 5
}

# Run the Actor and wait for it to finish
run = client.actor("mikolabs/twitter-comment-scraper").call(run_input=run_input)

# Fetch results from the dataset
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"[{item.get('author', {}).get('username')}]: {item.get('text')}")

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Option 3: Run via Node.js API Client

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

const input = {
    tweetUrls: [
        'https://x.com/elonmusk/status/1815000000000000000'
    ],
    maxComments: 100,
    sortBy: 'likes'
};

(async () => {
    const run = await client.actor('mikolabs/twitter-comment-scraper').call(input);
    const { items } = await client.dataset(run.defaultDatasetId).listItems();
    console.log(`Fetched ${items.length} comments.`);
})();

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⚙️ Configuration & Input Parameters

Field	Type	Default	Description
tweetUrls	Array	Required	List of tweet / post URLs to extract comments from.
maxComments	Integer	100	Maximum number of comments to scrape per tweet URL.
sortBy	String	"relevance"	Order of replies: relevance, recency, or likes.
minLikes	Integer	0	Exclude comments with fewer than this number of likes.
includeUserStats	Boolean	true	Include detailed author profile metadata in the response.

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⚖️ Legal & Ethical Usage

This actor is designed for extracting publicly available comments and discourse on X (Twitter). Users are responsible for complying with relevant local regulations (e.g. GDPR, CCPA) regarding personal data processing and the platform's terms of service.

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📞 Support & Custom Features

Need custom scrapers, bulk data feeds, or custom enterprise integrations?

• 🌐 Apify Actor: Twitter Comment Scraper
• 📬 Issues & Requests: Open an issue on this GitHub repository or contact via Apify support.

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Made with ❤️ by MikoLabs