X (Twitter) Tweet Replies Scraper

Extract every reply and conversation from any tweet on X (Twitter). Just paste a tweet URL or ID and get back the full conversation thread — the original tweet plus every reply, with complete author details and engagement metrics.

What It Does

This scraper follows a tweet's entire reply thread, capturing every comment, nested reply, and quote reply in the conversation. Whether you're tracking brand sentiment, moderating discussions, or archiving a viral thread before it disappears, this actor gives you structured, ready-to-use data in seconds.

Simply provide one or more tweet links (or bare tweet IDs), and the scraper returns the original tweet along with all of its replies — no login, no browser setup, and no manual scrolling required.

Key Features

• Full conversation threads — captures the entire reply chain, not just top-level comments
• Nested replies included — replies-to-replies are captured, preserving the real conversation structure
• Complete author profiles — username, display name, follower count, verification status, bio, and profile picture for every participant
• Rich engagement metrics — likes, retweets, quote counts, bookmarks, and view counts on every tweet and reply
• Media extraction — photos, videos, and GIFs attached to any tweet in the thread
• Bulk processing — submit multiple tweet URLs in a single run and get all their conversations back together
• Fast turnaround — results typically ready in seconds to a couple of minutes depending on thread size

Input Parameters

Parameter	Description
Tweet URLs or IDs	A list of tweet links (e.g. https://x.com/user/status/123456789) or bare tweet IDs. Add as many as you like — each one is processed in turn.
Max replies per tweet	The maximum number of replies to collect for each tweet. Leave at the default for a solid sample, or raise it to pull deeper into long threads.
Max total items	An overall cap on how many items (across all tweets in the run) get saved. Useful for controlling large batch jobs.

Output Fields

Each result in your dataset is a tweet (either the original post or one of its replies) with the following fields:

Tweet content

• id — unique tweet ID
• url — direct link to the tweet
• text — full tweet text
• lang — detected language
• createdAt — publish timestamp
• media — attached photos/videos, if any

Conversation context

• isReply — whether this item is a reply or the original tweet
• replyToUser — the username being replied to
• conversationId — groups every item in the same thread together
• isQuote / quotedTweet — quote-tweet details, if applicable

Engagement metrics

• likeCount, retweetCount, replyCount, quoteCount, bookmarkCount, viewCount

Author details

• author.userName, author.name, author.followers, author.verified, author.description, author.profilePicture, and more

Example Use Cases

• Sentiment analysis — pull every reply to a brand announcement or product launch and run it through your sentiment model
• Customer feedback monitoring — track what people are saying in response to your company's tweets or support threads
• Viral thread archiving — save a fast-moving viral thread in full before replies get deleted or buried
• Community & moderation research — analyze how a conversation evolves, who's engaging, and what themes emerge
• Influencer & competitor monitoring — see how audiences are responding to a competitor's or influencer's posts
• Academic & market research — collect real conversation data for studies on public discourse and engagement patterns

Pricing

This actor uses a pay-per-result pricing model — you're only charged for each reply/tweet actually delivered to your dataset. There are no charges for failed lookups or empty threads. A limited number of free results are included on the free plan so you can test the actor before committing.

Getting Started

1. Paste in one or more tweet URLs (or IDs)
2. Set how many replies you want per tweet
3. Run the actor and export your results as JSON, CSV, or Excel

No X/Twitter account, API keys, or technical setup required on your end.