Twitter/X Comment Scraper

🚀 Twitter/X Comment Scraper is an advanced Apify Actor designed to scrape Twitter/X Comment data from tweet URLs using browser automation. This tool provides comprehensive Twitter/X Comment information, including comment texts, user details, timestamps, and engagement metrics like likes and retweets. Whether you're analyzing Twitter/X Comment sentiment, conducting social media research, or monitoring Twitter/X Comment trends, the Twitter/X Comment Scraper delivers detailed Twitter/X Comment data efficiently.

With browser-based scraping using , the Twitter/X Comment Scraper ensures accurate extraction of dynamic Twitter/X Comment content that may not be available through simple API calls. It focuses on key Twitter/X Comment metrics like user profiles and engagement data, making it an essential tool for Twitter/X Comment analysis and social media research.

🔥 Features

• Comprehensive Twitter/X Comment Extraction – Scrapes detailed Twitter/X Comment data, including comment texts, user information, timestamps, and engagement metrics for any tweet URL.
• Browser Automation – Uses for headless browser navigation to access fully loaded Twitter/X Comment sections.
• Advanced Comment Loading – Scrolls and waits to load more Twitter/X Comment content for complete extraction.
• API Response Parsing – Intercepts Twitter/X Comment data from GraphQL API responses for accurate Twitter/X Comment retrieval.
• Batch Processing – Processes multiple tweet URLs in a single run for efficient Twitter/X Comment data collection.
• Residential Proxy Support – Utilizes Apify's residential proxies to bypass restrictions and ensure high success rates for Twitter/X Comment scraping.
• Error Handling – Robust logging and fallback mechanisms for failed Twitter/X Comment scrapes.
• Dataset Integration – Automatically uploads Twitter/X Comment data to your Apify dataset for easy export and analysis.

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⚙️ How It Works

The Twitter/X Comment Scraper takes a tweet URL as input and uses to launch a headless browser, navigate to the URL, and intercept Twitter/X Comment data from API responses. It performs scrolling actions to load more Twitter/X Comment content, then parses the data to extract comment texts, user profiles, and engagement metrics. The scraper returns structured Twitter/X Comment data on success or error details on failure, providing a reliable way to gather Twitter/X Comment for research and analysis.

Key Processing Steps:

1. URL Validation – Parse and validate tweet URL
2. Browser Launch – Initialize headless browser
3. Page Navigation – Navigate to tweet URL
4. API Interception – Intercept GraphQL API responses
5. Comment Loading – Scroll and load more comments
6. Data Extraction – Parse comment text, user info, metrics
7. Data Compilation – Aggregate comment data
8. Export – Push results to dataset in JSON format

Key benefits for Twitter/X Comment analysis:

• Access Twitter/X Comment data including user profiles and engagement metrics.
• Analyze Twitter/X Comment sentiment and trends.
• Build Twitter/X Comment databases for social media research.
• Track engagement patterns and user responses.
• Monitor conversation trends and topics.

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📥 Input

The scraper accepts the following input parameters:

Field	Type	Default	Description
tweetUrl	string	required	The tweet URL to scrape Twitter/X Comment from (e.g., "https://x.com/user/status/123").
useApifyProxy	boolean	true	Enable residential proxies for Twitter/X Comment scraping.
apifyProxyGroups	array	["RESIDENTIAL"]	Proxy groups to use (e.g., ["RESIDENTIAL"]).

Example input JSON:

{
  "tweetUrl": "https://x.com/example/status/123456789",
  "useApifyProxy": true,
  "apifyProxyGroups": ["RESIDENTIAL"]
}

📤 Output

The scraper outputs detailed Twitter/X Comment data in JSON format for each comment. Each record includes:

Field	Type	Description
id	string	Unique ID of the Twitter/X Comment.
text	string	Text content of the Twitter/X Comment.
user	object	Twitter/X Comment user details object.
date	object	Twitter/X Comment date information object.
stats	object	Twitter/X Comment engagement metrics object.
replyTo	string	Username the comment is replying to (if applicable).

User Object Fields:

Field	Type	Description
username	string	Twitter/X username.
fullName	string	Full name of the user.
followers	integer	Follower count of the user.
verified	boolean	Verification status of the user.

Date Object Fields:

Field	Type	Description
formatted	string	Formatted date (YYYY-MM-DD HH:MM:SS).
initial	string	Initial date string format.

Stats Object Fields:

Field	Type	Description
likes	integer	Like count for the comment.
retweets	integer	Retweet count for the comment.
replies	integer	Reply count for the comment.

Example output for Twitter/X Comment:

{
  "id": "1234567890",
  "text": "This is a great example comment!",
  "user": {
    "username": "example_user",
    "fullName": "Example User",
    "followers": 1500,
    "verified": True 
  },
  "date": {
    "formatted": "2025-02-14 12:00:00",
    "initial": "Fri Feb 14 12:00:00 +0000 2025"
  },
  "stats": {
    "likes": 25,
    "retweets": 5,
    "replies": 3
  },
  "replyTo": null
}

Example error response:

{
  "tweetUrl": "https://x.com/invalid/status/invalid",
  "no_comments_found": true,
  "error": "Tweet URL not accessible or has no comments",
  "scraped_at": "2025-02-14T12:00:00Z"
}

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🧰 Technical Stack

• API Interception: GraphQL API response parsing
• Data Parsing: JSON parsing and data extraction
• Proxy Support: Apify Proxy with RESIDENTIAL support for reliability
• Platform: Apify Actor – serverless, scalable, integrated with Dataset and Key‑Value Store
• Deployment: One‑click run on Apify Console or via REST API

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🎯 Use Cases

• Sentiment Analysis – Analyze comment sentiment and emotional tone.
• Trend Analysis – Identify trending topics and discussions.
• Social Media Research – Conduct comprehensive social media research.
• Engagement Analysis – Analyze engagement patterns and user interactions.
• Competitive Analysis – Research competitor tweets and community responses.
• Brand Monitoring – Monitor brand mentions and sentiment in comments.
• Influencer Analysis – Analyze influencer engagement and audience responses.
• Crisis Management – Monitor and track crisis-related comments and sentiment.
• Market Research – Research market reactions and consumer feedback.
• User Research – Understand user opinions and preferences.
• Content Analysis – Analyze what types of content generate engagement.
• Academic Research – Collect Twitter/X comment data for research studies.
• Dataset Building – Build comment databases for machine learning.
• Customer Feedback – Gather customer feedback and responses.

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🚀 Quick Start

1. Open in Apify Console – visit the Actor page and click Try for free.
2. Enter tweet URL – provide a Twitter/X tweet URL with comments.
3. Enable proxies – enabled by default for reliable scraping.
4. Click Start – the Actor will scrape tweet comments using browser automation.
5. View Results – check the dataset for extracted comment data.
6. Analyze Comments – examine user details, engagement metrics, timestamps.
7. Export Data – download the results as JSON, CSV, or Excel.

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💎 Why This Scraper?

Feature	Benefit
✅ Browser automation	Access fully rendered tweet content and comments.
✅ API interception	Extract data from Twitter/X's GraphQL API.
✅ Comment scrolling	Load all comments through smart scrolling.
✅ User profiles	Get detailed user information with each comment.
✅ Engagement metrics	Receive likes, retweets, and reply counts.
✅ Residential proxies	Bypass restrictions – reliable access.
✅ Error handling	Robust fallback mechanisms.
✅ Apify ecosystem	Seamless integration with other Actors, triggers, and webhooks.

📦 Changelog

v1.0.0 (February 2025)

• Initial release of Twitter/X Comment Scraper
• Browser automation with for comment extraction
• GraphQL API response interception for accurate data
• Comment text, user profile, and engagement metric extraction
• Dynamic comment loading through scrolling
• Batch processing for multiple tweet URLs
• Residential proxy support for reliability
• Verified user status detection
• Timestamp extraction and formatting
• Engagement metrics (likes, retweets, replies)
• Reply-to relationship tracking
• Error handling with detailed error messages
• Automatic dataset integration
• Full Apify Actor integration

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🧑‍💻 Support & Feedback

• Issues & Ideas: Open a ticket on the Apify Actor issue tracker
• Documentation: Visit Apify Docs for comprehensive platform guides
• Community: Join the Apify community forum for discussions and support
• Bug Reports: Submit detailed bug reports through the issue tracker
• Feature Requests: Suggest new features to improve the scraper

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💰 Pricing

• Free for basic usage on Apify platform
• Paid plans available for higher limits and priority support
• Proxy credits consumed based on residential proxy usage

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📄 License & Legal

Terms of Use:

• Scrape Twitter/X comments for legitimate research and analysis
• Respect Twitter/X's Terms of Service
• Don't republish comments without proper attribution
• Comply with applicable laws and regulations
• Respect copyright and intellectual property rights

Disclaimer: Twitter/X Comment Scraper is provided as-is for research and analysis purposes. Users are responsible for ensuring their usage complies with Twitter/X's policies and applicable laws.

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🎉 Get Started Today

Begin scraping Twitter/X comments now!

Use Twitter/X Comment Scraper for:

• 💬 Comment Analysis
• 📊 Sentiment Research
• 🔍 Social Listening
• 📈 Engagement Tracking
• 🎯 Trend Analysis

Perfect for:

• Social Media Researchers
• Sentiment Analysts
• Brand Monitors
• Content Strategists
• Analysts

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Last Updated: February 2025
Version: 1.0.0
Status: Active Development
Support: 24/7 Customer Support Available
Platform: Apify

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📚 Related Tools

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• Twitter/X Video Downloader
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• YouTube Comment Scraper
• TikTok Comments Scraper