X (Twitter) Thread & Reply Scraper

🧵 What is X (Twitter) Reply & Thread Scraper?

A Twitter/X scraper for extracting replies, threads, nested conversations, and structured discussion data from public X posts.

Built for AI datasets, RAG pipelines, sentiment analysis, research, and conversation analysis workflows with support for depth-controlled extraction and structured conversation mapping.

• 🌳 Extract nested replies across multiple conversation levels

• 🔗 Preserve reply relationships and complete conversation paths

• 📊 Export structured thread data in JSON, CSV, or Excel formats

Just add a Tweet URL, configure the reply depth, and start scraping structured Twitter/X conversation data.

---

⭐ Why Use This Actor?

• ⚡ Works without X/Twitter API access, authentication, or API keys

• 🎯 Supports depth-controlled extraction for targeted scraping workflows

• 🧠 Preserves parent-child reply relationships for accurate conversation reconstruction

• 🚀 Optimized for large threads, nested reply chains, and research workflows

---

🎯 Who Is This X/Twitter Scraper Useful For?

• 🤖 AI and LLM Training
  Build structured conversation trees for high-fidelity RAG pipelines and prompt grounding

• 📈 Conversation Analysis
  Map how discussions evolve across multi-level reply chains and depth levels

• 🧠 Contextual Sentiment
  Track stances and opinions within full thread context and retain reasoning behind replies

• ⚡ Branching Analysis
  Identify viral replies that drive deeper discussions and form sub-threads

• 🛠 Data Enrichment
  Integrate structured Twitter/X conversation data into analytics workflows

---

📊 What Data Can You Extract?

Category	Included Data
📝 Tweet Data	Tweet text, tweet URLs, timestamps, tweet IDs
👤 Author Information	Username, display name, profile URL, profile image, verified status
❤️ Engagement Metrics	Replies, reposts, likes, and views
🖼 Media Assets	Images, GIFs, videos, and media URLs
🌳 Conversation Structure	Parent tweet IDs, reply depth, conversation paths, nested relationships
🔗 Thread Context	Conversation IDs, reply hierarchy, and full discussion lineage

---

🚀 Quick Start

Scrape nested replies from an X/Twitter thread using configurable depth control and reply limits.

With depth: 2, the actor scrapes direct replies and replies to those replies.

{
  "depth": "2",
  "maxReplies": 50,
  "tweetUrls": [
    "https://x.com/elonmusk/status/2001898987964809465"
  ]
}

---

📦 Output Example

Each record represents a tweet with full conversation context preserved.

{
    "tweetId": "2040690162049421496",
    "tweetUrl": "https://x.com/OriginalMrP/status/2040690162049421496",
    "text": "Gen X enters the chat...",
    "createdAt": "Apr 5, 2026 · 7:17 AM UTC",
    "author": {
      "username": "OriginalMrP",
      "name": "Mark",
      "profileUrl": "https://x.com/OriginalMrP",
      "profileImage": "https://pbs.twimg.com/profile_images/1710182794544947200/-s-0Vfj1_bigger.jpg",
      "isVerified": false
    },
    "engagement": {
      "replies": 0,
      "retweets": 0,
      "likes": 1,
      "views": 1137
    },
    "media": [
      {
        "type": "gif",
        "url": "https://pic/video.twimg.com/tweet_video/HFH84gYXUAEj6EF.mp4"
      }
    ],
    "media_count": 1,   
    "conversationId": "2040267557048127522",
    "conversation": {
      "parentId": "2040609094193893482",
      "depth": 2,
      "path": [
        "2040267557048127522",
        "2040609094193893482",
        "2040690162049421496"
      ]
    },
    "conversation_depth": 2
  }

---

⚙️ Input Configuration

Input	Description
tweetUrls	X/Twitter post or thread URLs to scrape
depth	Depth 1 extracts direct replies, Depth 2 includes replies to those replies, and higher depths continue deeper nested extraction
maxReplies	Maximum number of replies to collect across the conversation thread

---

🛠 Troubleshooting

No replies returned?

Make sure the tweet URL is public and valid. Some posts may have limited visible replies.

Missing nested replies?

Increase the depth value to scrape deeper reply levels.

Too few replies collected?

Increase maxReplies to allow the actor to collect more replies from the thread.

Scraping is slow?

Large threads and higher depth values can increase runtime.

---

❓ Frequently Asked Questions

Can this scraper extract nested Twitter/X replies?

Yes. The scraper supports depth-controlled extraction for nested replies and multi-level conversation threads.

What is a conversation path?

A conversation path represents the full reply chain from the root tweet to a specific reply.

Does this scraper preserve reply relationships?

Yes. The actor preserves parent-child reply relationships and conversation hierarchy.

Can I control how deep the scraper goes?

Yes. Use the depth input to control how many reply levels are extracted.

Does this scraper require Twitter/X API access?

No. The scraper works without API access, authentication, or API keys.

Can I scrape full Twitter/X threads?

Yes. The actor supports scraping complete public conversation threads with structured reply relationships preserved.

What export formats are supported?

Scraped datasets can be exported in JSON, CSV, and Excel formats.

---

💬 Support

Check the troubleshooting section above before opening an issue.

For bug reports, scraping issues, or feature requests, please open an issue on the actor page.

If you need custom scraper modifications, automation workflows, or additional extraction features, feel free to contact:

📧 kamakrazeekaushik@gmail.com

When reporting issues, please include the Actor Run ID or relevant run logs to help speed up debugging.

---

🔗 Related actors

• 🖼️ Instagram Profile Posts and Comments Scraper – Scrape Instagram posts from multiple profiles in one run, including comments for every post.