Twitter Comments Scraper - No Login Needed

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

Field	Type	Description
tweetId	String	One X/Twitter post URL or numeric ID (e.g., 2024799518181700017, or https://x.com/user/status/2024799518181700017). Copy the numeric string after /status/.
tweetIds	String[]	Optional batch of up to 100 post URLs or numeric IDs. Duplicate IDs are processed once, so the whole run is de-duplicated.
maxItems	Integer	Maximum unique comment rows across the whole run. Default 1000, max 50000.
maxPages	Integer	Safety limit on pages fetched per post. The run stops at maxItems, cursor exhaustion, a repeated cursor, or this page limit — whichever comes first. Default 1.

Outputs

Formats: JSON, CSV, Excel

Fields: Each comment includes:

• id / tweet_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
• lang - Detected language
• conversation_id - Thread identifier
• reply_to_tweet_id - The comment this one replies to
• is_retweet - Whether the row is a retweet
• 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 [https://t.co/8u6rbvMYKp](https://t.co/8u6rbvMYKp)",
  "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.

🧵 Single post or a whole batch - Pass one post in tweetId, or up to 100 at once in tweetIds; duplicates are collapsed so you never pay twice for the same comment.

✅ 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.

FAQ

How much does it cost to run this Actor? Pricing is listed in the Pricing section above, charged per row returned. You only pay for the rows the Actor actually produces, so a small test run costs cents.

Do I need cookies or a login? No. This Actor reads public data only - no cookies, no account, no browser automation.

Can I scrape several posts in one run? Yes. Put the first post in tweetId and up to 100 more in tweetIds; the Actor de-duplicates repeated IDs and returns every unique comment once.

Can I schedule it? Yes. Run it from the Apify API, on a schedule, or via a webhook, and export results as JSON, CSV or Excel.

What if I need a slightly different output? Open an issue on the Actor's Issues tab describing the shape you need.

Related actors

More Twitter actors from the same portfolio. Apify only auto-recommends actors in the same category, so here are the rest of ours:

Actor
Twitter/X Community Members Scraper · No Cookies
Twitter/X Engaged Audience Exporter · Replies + Retweeters
Twitter/X Followers Scraper · No Cookies
Twitter/X Following Scraper · Public Profiles
Twitter/X List Members Scraper · No Cookies
Twitter/X Profile Scraper · Bulk Handles, URLs & IDs
Twitter/X Search Scraper · Small Jobs & Advanced Queries
Twitter/X Trends Scraper · No Cookies
Twitter/X Tweet Details Scraper · URL or ID
Twitter/X Tweets Scraper · No Cookies