X (Twitter) Post Replies Scraper

This Apify Actor extracts replies from X (Twitter) posts provided as input URLs. It retrieves reply content, authors, timestamps, media, and engagement metrics.
Perfect for social media monitoring, sentiment analysis, and trend tracking. 🚀

Features

• 🔍 Scrape replies from multiple tweets
• 👤 Extract author profiles and metadata
• 🕒 Retrieve timestamps, media, and conversation context
• 🔢 Limit the number of replies per tweet

Input Parameters

Parameter	Type	Required	Description
postUrls	string[]	✅	Array of X (Twitter) post URLs to extract replies from.
resultsLimit	number	❌	Maximum number of results to retrieve (for each post url). If not set, only a few of the first replies will be returned.
includeNestedReplies	boolean	❌	If true, replies to replies will be included. False by default.
repliesSortType	string	❌	Type of replies (sorting) to fetch: "relevancy" (most relevant), "latest" or "likes" (most likes). Defaults to "relevancy if not set (X's default).

Example Input

{
  "postUrls": [
    "https://x.com/ZippoJeje/status/1905584213761351970"
  ],
  "resultsLimit": 20,
  "includeNestedReplies": false
}

Output Data

The actor returns an array of JSON objects with extracted replies and related data.

Example Output

[
  {
    "replyId": "1906884256397189461",
    "replyUrl": "https://x.com/TheyCallMeMrYu/status/1906884256397189461",
    "replyText": "@FunFootballPod https://t.co/gz6yT4D4wl",
    "postUrl": "https://x.com/FunFootballPod/status/1906833084554650018",
    "postId": "1906833084554650018",
    "timestamp": 1743471609000,
    "conversationId": "1906833084554650018",
    "media": [
      {
        "mediaUrlHttps": "https://pbs.twimg.com/tweet_video_thumb/GnadH35XkAAcY0z.jpg",
        "type": "animated_gif",
        "id": "1906884250827198464"
      }
    ],
    "author": {
      "name": "‼️ Ⓜ️ℹ️𝐬𝐭🅰 𝐘𝐮‼️",
      "screenName": "TheyCallMeMrYu",
      "followersCount": 21960,
      "favouritesCount": 67879,
      "friendsCount": 22146,
      "description": "🎤Podcast Host of T3 (Thurs), Insp Station (M-W), BBL (Fri), One on One (M-F), His & Hers (4th Fri) #NYG #MICH #NYY #NYK 🪙 #SportcoinCertified"
    },
    "replyCount": 1,
    "quoteCount": 0,
    "repostCount": 0,
    "favouriteCount": 1,
    "viewsCount": 15
  }
]

Let me know if you need additional output fields! 🤙

Usage

1. Create an Apify account and open the actor page.
2. Enter input parameters in the Apify UI or via API.
3. Run the actor and monitor its progress.
4. Export replies as JSON, CSV, or Excel for analysis.

Limitations & Notes

• Scraping X (Twitter) must comply with their Terms of Service.
• Avoid overuse to prevent rate limiting or bans.
• Data availability may depend on tweet visibility, account privacy, and X's structure.

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Works Best With

For best results, use this actor together with X Posts Search.

First, search for tweets matching your criteria using X Posts Search, then pass those tweet URLs into this X Comments Scraper to extract replies and enrich your dataset. ✅

Best Use Case Flow

• 🔎 Run X Posts Search → Find relevant tweets based on keywords or hashtags
• 📥 Feed tweet URLs into X Comments Scraper → Get replies for each tweet
• 📊 Gain insights → Analyze engagement, sentiment, and conversation threads

This combination provides a powerful workflow for understanding discussions around specific topics on X. 🚀

Other Recommended Scrapers

If you're working with multiple platforms or want additional data sources, check out these scrapers:

• 🐦 X Posts Search — Find posts/tweets based on keywords, hashtags, and more
• 📘 Facebook Posts Search — Discover Facebook posts for a given topic or page
• 💬 Facebook Comments Scraper — Extract comments from public Facebook posts
• 👟 Zalando Price Alert — Track Zalando products and receive alerts when prices drop
• 💬 YouTube Search Scraper — Extract search results from YouTube

Support & Contact

✉️ Having issues or suggestions? Open an issue or contact us at scraper1one@gmail.com.