User Replies Collector — Replies Scraper and Data Collector

User Replies Collector helps you quickly collect replies for any username and turn them into a ready-to-use dataset. It is built for marketers, researchers, analysts, and social media teams who need a simple way to review reply activity, export conversation data, or keep gathering more replies when available. Use it to capture Twitter/X reply content exactly as received, including the reply text, engagement counts, author details, and related conversation context. If you need a reliable replies extractor for social media monitoring, audience research, or content analysis, this actor gives you clean results with minimal effort.

Key Features

• Collect replies for any username you provide and get a structured dataset ready for review.
• Preserve the reply content exactly as received so you can analyze it without losing detail.
• Capture useful context such as reply text, author information, engagement counts, and conversation references.
• Continue fetching more replies when available until you reach your chosen limit.
• Export results for reporting, spreadsheet analysis, or sharing with your team.
• Review reply activity in one place without manually searching through profiles or threads.
• Support social media research, brand monitoring, and audience insights with real reply data.

Use Cases

Social Media Monitoring

Brand and community teams use this actor to track how people reply to a specific account. The returned fields like text, created_at, favorites, replies, and retweets help teams understand what kind of responses are getting attention and when they appeared.

Audience Research

Researchers and marketers can study reply patterns to learn what followers care about, what language they use, and which topics trigger engagement. Fields such as author.name, author.screen_name, author.followers_count, and lang help identify who is replying and in what context.

Content Performance Review

Creators and social media managers can compare replies to see which posts sparked the most discussion. By looking at conversation_id, in_reply_to_status_id_str, views, quotes, and bookmarks, they can judge which conversations are worth revisiting or repurposing.

Competitive Analysis

Teams can collect replies for public figures, competitors, or industry accounts to understand audience sentiment and engagement style. The dataset makes it easier to compare reply volume, author profiles, and engagement signals across different accounts.

Lead and Community Discovery

Sales, partnerships, and community teams can scan replies to find active users, influential accounts, or recurring commenters. The author details, combined with reply text and engagement metrics, help identify people worth following up with or adding to a watchlist.

Input

Field	Type	Required	Description	Example
screenname	String	Yes	Enter the username whose replies you want to collect.	elonmusk
max_results	Integer	No	Set the maximum number of replies you want to gather before stopping.	100

Output

Field	Type	Description
tweet_id	String	Unique ID of the reply, useful for tracking or referencing it later.
bookmarks	Integer	How many times the reply was bookmarked.
created_at	String	The date and time when the reply was posted.
favorites	Integer	How many likes the reply received.
text	String	The full reply text exactly as returned.
lang	String	The language of the reply.
in_reply_to_status_id_str	String or Null	The ID of the post this reply responds to, if available.
views	String	The number of views the reply received.
quotes	Integer	How many times the reply was quoted.
replies	Integer	How many replies the reply itself received.
retweets	Integer	How many times the reply was reposted.
conversation_id	String	The conversation thread ID that links related posts together.
media	Array	Any media attached to the reply, such as photos or other visual content.
entities	Array or Object	Extra structured details such as mentions or other referenced items.
author	Object	Information about the person who posted the reply, including name and profile details.
quoted	Object or Null	Details of a quoted post, if the reply includes one.

Sample Output

{
  "tweet_id": "2076475640941830521",
  "bookmarks": 4,
  "created_at": "Mon Jul 13 01:15:46 +0000 2026",
  "favorites": 162,
  "text": "SpaceXAI is a far better steward of frontier technology than others, and they have proven it time and time again\n\nYou don't become a trillionaire by ripping people off",
  "lang": "en",
  "in_reply_to_status_id_str": null,
  "views": "18223",
  "quotes": 0,
  "replies": 13,
  "retweets": 14,
  "conversation_id": "2076475640941830521",
  "media": [],
  "entities": [],
  "author": {
    "rest_id": "16052860",
    "name": "Jess Fields",
    "screen_name": "jessalanfields",
    "followers_count": 29213,
    "favourites_count": 15438,
    "avatar": "https://pbs.twimg.com/profile_images/1969098427465142272/NZnQkd8n_normal.jpg",
    "blue_verified": true
  },
  "quoted": {
    "tweet_id": "2076382375248843101",
    "bookmarks": 0,
    "created_at": "Sun Jul 12 19:05:10 +0000 2026",
    "favorites": 21,
    "text": "This is sweet justice\n\nDo it, Elon https://t.co/mtzqR8VXJm",
    "lang": "en",
    "views": "20051",
    "quotes": 1,
    "replies": 0,
    "retweets": 2,
    "conversation_id": "2076382375248843101",
    "author": {
      "rest_id": "16052860",
      "name": "Jess Fields",
      "screen_name": "jessalanfields",
      "avatar": "https://pbs.twimg.com/profile_images/1969098427465142272/NZnQkd8n_normal.jpg",
      "blue_verified": true
    },
    "media": {
      "photo": [
        {
          "media_url_https": "https://pbs.twimg.com/media/HNDKw9uWoAAHaIo.jpg",
          "id": "2076382370769313792"
        }
      ]
    }
  }
}

How It Works

1. You enter the username whose replies you want to collect.
2. You optionally set how many replies you want the actor to gather.
3. The actor automatically collects the replies and keeps going if more are available.
4. It returns the reply data in a ready-to-use format with the original fields preserved.
5. You download or export the results for analysis, reporting, or archiving.

Getting Started

Getting started is simple and does not require coding knowledge. Click Try for free, enter the username you want to collect replies for, optionally set the maximum number of results, and click Run. The actor will gather the replies automatically and return the results in a format you can work with right away. You can then download the output as JSON, CSV, or Excel for easy sharing and analysis.

Frequently Asked Questions

Do I need technical skills?

No. This actor is designed for business users, researchers, and social media teams who want results without dealing with complicated setup. Just enter a username, run the actor, and review the output.

How fast does it run?

Speed depends on how many replies are available for the username and how many you ask for. Smaller collections finish quickly, while larger collections may take longer because the actor keeps gathering more replies until it reaches your limit or runs out of data.

What format is the output?

The output is delivered in a clean, structured format that is easy to review and export. You can download it as JSON, CSV, or Excel, which makes it simple to use in spreadsheets, dashboards, or reports.

Is this legal to use?

This actor is intended for collecting publicly available reply data for legitimate business, research, and analysis purposes. You are responsible for using the results in a way that respects applicable laws, platform rules, and privacy expectations.

Can I schedule it to run automatically?

Yes. You can set it up to run on a schedule if you want regular updates for monitoring or reporting. This is useful for tracking ongoing reply activity around a brand, account, or topic over time.