Twitter/X Comments Scraper · No Cookies avatar

Twitter/X Comments Scraper · No Cookies

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from $1.50 / 1,000 results

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Twitter/X Comments Scraper · No Cookies

Twitter/X Comments Scraper · No Cookies

Extract replies and comments from any tweet without login. Get comment text, author profiles, likes, retweets, bookmarks, views, timestamps, and conversation threads. Sentiment analysis ready. No cookies, no authentication, no API key. JSON/CSV/Excel export.

Pricing

from $1.50 / 1,000 results

Rating

0.0

(0)

Developer

Data Slayer

Data Slayer

Maintained by Community

Actor stats

0

Bookmarked

114

Total users

29

Monthly active users

1.1 days

Issues response

19 days ago

Last modified

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Extract Twitter post comments at scale without authentication or cookies. This scraper delivers comprehensive comment data, engagement metrics, and author profiles in seconds — perfect for sentiment analysis, competitive research, and content strategy optimization.

📺 Video Tutorial: How it Works


Inputs

FieldTypeDescription
tweetIdStringThe unique Twitter post ID from the URL (e.g., "1738106896777699464"). Find this in the tweet URL after /status/.

Outputs

Formats: JSON, CSV, Excel

Fields: Each comment includes:

  • id - Unique comment identifier
  • text - Full comment text content
  • display_text - Cleaned text without mentions/URLs
  • likes, retweets, bookmarks, quotes, replies - Engagement metrics
  • views - Impression count
  • created_at - Timestamp
  • conversation_id - Thread identifier
  • author.name, author.screen_name, author.description - Profile details
  • author.blue_verified, author.sub_count - Verification and follower count

Sample Output

{
"id": "1738107442452381976",
"text": "@elonmusk Gratitude is a musk thank you Elon",
"display_text": "Gratitude is a musk thank you Elon",
"likes": 822,
"retweets": 69,
"bookmarks": 4,
"quotes": 2,
"replies": 152,
"views": "56888",
"created_at": "Fri Dec 22 08:01:21 +0000 2023",
"lang": "en",
"conversation_id": "1738106896777699464",
"author": {
"rest_id": "2800216425",
"name": "THE CHELSEA FORUM",
"screen_name": "TheChelseaForum",
"description": "The Chelsea Forum ◇|◇ A community where all Chelsea fans call their home! 💙",
"blue_verified": true,
"sub_count": 259816
}
}

How to Use

Step 1: Enter the target Tweet ID in the tweetId field. Copy this from the Twitter post URL (the numeric string after /status/).

Step 2: Click "Start" to begin extraction.

Step 3: Download your results in JSON, CSV, or Excel format once the scraper completes.

Key Features

🔒 Cookieless / No Login Required - Access public Twitter comment data without authentication, cookies, or API keys. No account suspension risks or rate limit headaches.

📈 Scalable Architecture - Extract thousands of comments from viral threads with enterprise-grade infrastructure that handles high-volume data collection reliably.

Rich Comment Data - Capture complete engagement metrics including likes, retweets, bookmarks, quotes, replies, views, timestamps, and conversation threads with full author profiles.

Use Cases

Social Media Managers: Monitor brand mentions and audience reactions across Twitter threads. Track sentiment shifts in real-time to adjust campaign messaging and identify emerging trends before competitors.

Market Research Analysts: Collect qualitative feedback from product launches, industry discussions, and competitor announcements. Analyze comment patterns to uncover customer pain points and feature requests.

Sales Intelligence Teams: Identify high-intent prospects engaging with industry thought leaders. Build targeted outreach lists based on comment activity, follower counts, and verification status.

🧩 Other Twitter/X Actors by Data Slayer

ActorWhat it doesLink
Twitter Tweets ScraperExtract tweets from any Twitter/X accountTry it
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Twitter Community Members ScraperExtract members from any Twitter communityTry it
Twitter Trends ScraperGet trending topics by locationTry it

Need verified emails? Our LinkedIn Post Engagers Email Finder and LinkedIn Audience Email Finder extract verified work emails from LinkedIn engagement data.

💬 Feedback and Support

We actively maintain this actor and ship improvements based on user feedback. If you run into any issues or have ideas for new features:

  • Create an issue on the Actor's Issues tab in Apify Console
  • Rate the actor if it helped you — it helps others find it too

We typically respond within 24 hours.