🐦 Twitter (X) Comment Scraper

Extract comments, replies & engagement data from any tweet at scale — no login, no API keys, no tokens.

Twitter (X) Comment Scraper is a lightning-fast, cookieless Apify actor that extracts comments and replies from any public tweet — 20+ comments in under 2 seconds, no login required. It captures full author profiles, engagement stats (likes, retweets, quotes, bookmarks, views), media attachments (images, videos, GIFs), hashtags, mentions, and conversation metadata. Sort replies by relevance, recency, or likes. Filter by minimum engagement. Batch-scrape multiple tweets in a single run. Returns clean, structured JSON ready for sentiment analysis, lead generation, brand monitoring, competitive research, and influencer vetting — at just $5 per 1,000 results.

🔓 No Login · No API Keys · No Tokens · Unlimited Scraping

🚫 Zero Authentication	No Twitter account, no developer tokens, no API keys — just paste a tweet URL and go.
♾️ Unlimited Scraping	No daily quotas or artificial caps. Scrape as many tweets and comments as you need.
💰 $5 per 1,000 Results	Transparent, predictable pricing. Pay only for what you use — no subscriptions, no hidden fees.
⚡ Instant Results	Get structured JSON data in seconds. Export as JSON, CSV, or Excel with one click.

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📑 Table of Contents

• Key Features
• Pricing
• Use Cases
• Getting Started
• Input Parameters
• Output Data Schema
• Example Output
• Exporting & Integrating Data
• Tips & Best Practices
• Limitations
• FAQ
• Related Actors
• Support & Feedback

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✨ Key Features

Feature	Description
🔓 No Login Required	Completely cookieless — no Twitter account, no API keys, no developer tokens needed. Just paste a tweet URL.
♾️ Unlimited Scraping	No daily limits, no quotas. Scrape as many tweets and comments as your workflow demands.
💰 $5 / 1,000 Results	Simple, transparent pay-per-use pricing with no subscriptions or hidden fees.
Batch Tweet Scraping	Provide multiple tweet URLs in a single run and scrape comments from all of them.
Flexible Sorting	Sort replies by Relevance, Recency, or Likes to surface the data you care about.
Engagement Filtering	Set a minimum likes threshold to filter out low-engagement noise.
Rich User Profiles	Capture author username, display name, bio, location, follower / following counts, verification status, and more.
Full Engagement Metrics	Likes, retweets, replies, quotes, bookmarks, and view counts for every comment.
Media Extraction	Images, videos, and GIFs — including thumbnail URLs, video URLs, and duration.
Commenter Stats	Optionally fetch full stats (followers, following, tweet count, etc.) for each commenter.
Conversation Metadata	Conversation IDs, reply-to IDs, edit history, language, source app, and more.
Scalable & Cloud-Ready	Runs on the Apify platform with automatic retries, proxy support, and dataset storage.

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💰 Pricing

Volume	Cost	Per Result
1,000 results	$5.00	$0.005
5,000 results	$25.00	$0.005
10,000 results	$50.00	$0.005
50,000 results	$250.00	$0.005

Flat rate. No subscriptions. No hidden fees. You pay only for the results you scrape. Pricing is based on Apify platform compute usage at approximately $5 per 1,000 comment results.

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🎯 Use Cases

• Sentiment Analysis — Gauge public opinion on viral tweets, product launches, or brand mentions.
• Lead Generation — Identify potential customers engaging with competitor content.
• Brand Monitoring — Track replies to your brand's tweets and surface complaints or praise.
• Competitive Research — Analyze engagement patterns on competitor posts.
• Market Research — Understand audience reactions to industry trends and announcements.
• Content Strategy — Discover which reply styles generate the most engagement.
• Influencer Vetting — Review comment quality and engagement on an influencer's posts.
• Journalism & OSINT — Collect public discourse around breaking news events.

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🚀 Getting Started

Prerequisites

• An Apify account (free tier available).
• That's it — no Twitter account, no API keys, no tokens required.

Quick Start (3 Steps)

1. Open the Twitter (X) Comment Scraper actor page on Apify.
2. Paste one or more tweet URLs — configure sorting, filters, and limits as needed.
3. Run and download your data as JSON, CSV, or Excel. Done.

💡 No login, no cookies, no authentication of any kind. Just provide tweet URLs and start scraping instantly.

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⚙️ Input Parameters

Parameter	Type	Required	Default	Description
tweetUrls	string[]	✅ Yes	[]	One or more Twitter/X tweet URLs to scrape comments from. Format: https://x.com/username/status/123456789
sortReplies	string	No	Relevance	How to sort replies. Options: Relevance, Recency, Likes
minLikes	integer	No	0	Minimum number of likes a comment must have to be included. Set to 0 to include all comments.
includeCommenterStats	boolean	No	false	Fetch full profile stats (followers, following, tweet count, etc.) for each commenter. Note: Enabling this significantly slows down scraping as it requires an additional request per comment.
maxComments	integer	No	0	Maximum number of comments to extract per tweet. Set to 0 for unlimited.

Example Input

{
  "tweetUrls": [
    "https://x.com/elonmusk/status/2000645900549685307",
    "https://x.com/OpenAI/status/1234567890123456789"
  ],
  "sortReplies": "Likes",
  "minLikes": 10,
  "includeCommenterStats": false,
  "maxComments": 100
}

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📦 Output Data Schema

Each scraped comment is stored as a JSON object in the Apify dataset. Below is a detailed breakdown of every field.

Comment Fields

Field	Type	Description
replying_to_tweet	string	URL of the original tweet this comment replies to
tweet_url	string	Direct URL to this comment
text	string	Full text content of the comment
date	string	ISO timestamp of when the comment was posted
conversation_id	string	ID of the main conversation thread
in_reply_to_tweet_id	string	ID of the tweet this comment is replying to
is_quote_tweet	boolean	Whether this comment is a quote tweet
quoted_tweet	object|null	Quoted tweet data (if applicable)
lang	string	Language code of the comment (e.g., en, es, ja)
source	string	Client used to post (e.g., Twitter for iPhone)
is_edited	boolean	Whether the comment has been edited
edits_remaining	string	Number of edits remaining
possibly_sensitive	boolean	Whether the content may be sensitive
has_community_notes	boolean	Whether the comment has community notes

Author Information (author)

Field	Type	Description
author.id	string	Unique Twitter user ID
author.name	string	Display name
author.screen_name	string	Username / handle (without @)
author.avatar	string	Profile image URL
author.is_verified	boolean	Twitter Blue verification status

Author Information with includeCommenterStats: true

When includeCommenterStats is enabled, the author object is enriched with additional profile data:

Field	Type	Description
author.description	string	User bio
author.location	string	User location
author.followers_count	integer	Number of followers
author.following_count	integer	Number of accounts followed
author.tweet_count	integer	Total tweets posted
author.favourites_count	integer	Total likes given
author.media_count	integer	Media items uploaded
author.lists_count	integer	Lists the user is a member of
author.account_created_at	string	Account creation date
author.profile_banner	string	Banner image URL
author.is_protected	boolean	Whether the account is private
author.pinned_tweet_ids	string[]	IDs of pinned tweets
author.profile_url	string	Website URL
author.professional_info	object|null	Professional account category and type

Engagement Metrics (stats)

Field	Type	Description
stats.likes	integer	Number of likes
stats.replies	integer	Number of replies
stats.retweets	integer	Number of retweets
stats.quotes	integer	Number of quote tweets
stats.bookmarks	integer	Number of bookmarks
stats.views	string	Number of views

Entities

Field	Type	Description
entities.hashtags	array	Hashtags used in the comment
entities.user_mentions	array	Users mentioned in the comment
entities.urls	array	URLs included in the comment
entities.media	array	Media attachments with metadata

Media Attachments (media)

Field	Type	Description
media[].type	string	Media type: photo, video, or animated_gif
media[].thumb_url	string	Thumbnail image URL
media[].url	string	Media page URL
media[].video_url	string|null	Direct video file URL (videos only)
media[].duration_ms	integer|null	Video duration in milliseconds (videos only)

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📋 Example Output

{
  "replying_to_tweet": "https://x.com/elonmusk/status/2000645900549685307",
  "tweet_url": "https://x.com/ClownWorld/status/2000650156405072211",
  "conversation_id": "2000645900549685307",
  "in_reply_to_tweet_id": "2000645900549685307",
  "is_quote_tweet": false,
  "quoted_tweet": null,
  "author": {
    "id": "1446932149148344320",
    "name": "Clown World ™ 🤡",
    "screen_name": "ClownWorld",
    "avatar": "https://pbs.twimg.com/profile_images/2007190860690046977/ZAITQvgd_normal.jpg",
    "is_verified": true
  },
  "text": "@elonmusk Haters will say this is AI https://t.co/djLDxhqJlw",
  "date": "Mon Dec 15 19:32:22 +0000 2025",
  "stats": {
    "likes": 4430,
    "replies": 748,
    "retweets": 575,
    "quotes": 49,
    "bookmarks": 175,
    "views": "812441"
  },
  "entities": {
    "hashtags": [],
    "urls": [],
    "user_mentions": [
      {
        "id_str": "44196397",
        "name": "Elon Musk",
        "screen_name": "elonmusk"
      }
    ]
  },
  "media": [
    {
      "type": "video",
      "thumb_url": "https://pbs.twimg.com/amplify_video_thumb/2000650105603686400/img/R4soCzawh48AMneU.jpg",
      "url": "https://x.com/ClownWorld/status/2000650156405072211/video/1",
      "video_url": "https://video.twimg.com/amplify_video/2000650105603686400/vid/avc1/464x688/HobG6DrrCTZ3n-T8.mp4?tag=23",
      "duration_ms": 6041
    }
  ],
  "lang": "en",
  "source": "Twitter for iPhone",
  "has_community_notes": false,
  "is_edited": false,
  "edits_remaining": "5",
  "is_translatable": false,
  "possibly_sensitive": false
}

Note: The above is a single comment object. A full run returns an array of these objects — one per scraped comment.

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📤 Exporting & Integrating Data

Apify makes it easy to consume your scraped data:

Format	Method
JSON / CSV / Excel	Download directly from the Apify dataset UI
REST API	Access data programmatically via the Apify API
Webhooks	Trigger notifications or downstream pipelines on run completion
Integrations	Connect to Google Sheets, Slack, Zapier, Make, and more via Apify Integrations

API Access Example

# Fetch results as JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<YOUR_API_TOKEN>"

# Fetch results as CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?format=csv&token=<YOUR_API_TOKEN>"

Python Integration

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run_input = {
    "tweetUrls": ["https://x.com/elonmusk/status/2000645900549685307"],
    "sortReplies": "Likes",
    "minLikes": 5,
    "maxComments": 50
}

run = client.actor("your-actor-id").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"@{item['author']['screen_name']}: {item['text']}")
    print(f"  ❤️ {item['stats']['likes']}  🔁 {item['stats']['retweets']}")

JavaScript / Node.js Integration

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });

const run = await client.actor('your-actor-id').call({
    tweetUrls: ['https://x.com/elonmusk/status/2000645900549685307'],
    sortReplies: 'Likes',
    minLikes: 5,
    maxComments: 50,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => {
    console.log(`@${item.author.screen_name}: ${item.text}`);
    console.log(`  ❤️ ${item.stats.likes}  🔁 ${item.stats.retweets}`);
});

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💡 Tips & Best Practices

1. Zero setup — No accounts, tokens, or cookies needed. Just paste tweet URLs and run.
2. Start small — Test with a small maxComments value (e.g., 20) before running large-scale scrapes to validate your setup.
3. Use minLikes to reduce noise — High-engagement comments are typically more relevant for analysis.
4. Sort by Likes for research — The most-liked comments surface the strongest community consensus.
5. Sort by Recency for monitoring — Get the freshest replies for real-time brand monitoring.
6. Enable includeCommenterStats selectively — This adds an extra HTTP request per comment and significantly increases run time. Only enable it when you need detailed profile data.
7. Batch multiple tweets — Provide multiple URLs in a single run to save on actor start-up overhead.
8. Schedule recurring runs — Use Apify's scheduling feature to monitor tweet replies over time.

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⚠️ Limitations

• Pagination limits — Due to Twitter's interface constraints, the actor can retrieve a maximum of approximately 200 comments per tweet in a single run.
• No nested replies — The scraper collects top-level replies visible on the tweet screen. Deeply nested conversation threads are not expanded.
• Rate limiting — Excessive scraping may trigger Twitter's rate limiting. Space out large runs accordingly.
• Public tweets only — The actor can only scrape comments on publicly visible tweets.

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❓ Frequently Asked Questions

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🔗 More from Mikolabs — Twitter / X Scraping Suite

This actor is part of the Mikolabs Twitter / X Scraping Suite on Apify. Check out our other actors:

Actor	Description	Link
🔍 X (Twitter) Advanced Search Tweet Scraper	Scrape tweets using Twitter's powerful advanced search operators — by keyword, hashtag, user, date range, engagement, and more.	Try it →
📥 X (Twitter) Media Downloader	Download images, videos, and GIFs from any tweet or user timeline. Bulk export media at scale.	Try it →
🐦 Twitter / X Scraper — Complete Suite	The all-in-one Twitter scraper — extract tweets, profiles, followers, search results, and more in a single actor.	Try it →
💬 Twitter (X) Comment Scraper	(You are here) Extract comments & replies from any tweet with engagement data.	Try it →

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🤝 Support & Feedback

• ⭐ Leave a review — If you found this actor useful, drop us a review — it helps a lot!
• 🐛 Issues or bugs? — Report an issue on the Apify actor page.
• 💡 Feature requests? — Submit via Apify Issues or contact us on Apify.
• ❓ Questions? — Reach out through the Apify actor's discussion section.
• ⚡ Direct API Access & Tools — Check out our full suite of APIs at mikolabs.xyz/apis.
• 📦 More actors? — Browse all Mikolabs actors at apify.com/mikolabs.

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