# Threads Replies Scraper (`igview-owner/threads-replies-scraper`) Actor

Scrape public replies and comments from Meta Threads users. Get reply text, user info, engagement metrics and media URLs in clean JSON/CSV for analytics and research.

- **URL**: https://apify.com/igview-owner/threads-replies-scraper.md
- **Developed by:** [Sachin Kumar Yadav](https://apify.com/igview-owner) (community)
- **Categories:** Social media, Automation, Developer tools
- **Stats:** 151 total users, 5 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 3.99 out of 5 stars

## Pricing

from $3.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Threads User Replies Scraper - Extract Comprehensive Reply Data

**The most powerful and reliable Threads replies scraper for extracting comprehensive reply posts and conversation data.** Built as a professional Apify Actor for seamless data extraction from Meta Threads platform with advanced reply analytics and conversation intelligence.

***

### 📋 Table of Contents

- [🚀 Why Choose Threads User Replies Scraper?](#-why-choose-threads-user-replies-scraper)
- [✨ Key Features](#-key-features)
- [⚡ Quick Start Guide](#-quick-start-guide)
- [🔧 Input Configuration](#-input-configuration)
- [📊 Output Data Structure](#-output-data-structure)
- [💡 Usage Examples](#-usage-examples)
- [🎯 Best Practices](#-best-practices)
- [📈 Performance & Limits](#-performance--limits)
- [🛠️ Troubleshooting](#️-troubleshooting)
- [❓ Frequently Asked Questions](#-frequently-asked-questions)
- [🏷️ Keywords & SEO](#️-keywords--seo)

***

### 🚀 Why Choose Threads User Replies Scraper?

| Feature | Benefit | Description |
|---------|---------|-------------|
| **Reply-Focused** | Complete Reply Data | Extract comprehensive reply posts with full metadata |
| **User-Specific** | Profile Targeting | Get all replies from specific user profiles |
| **Rich Analytics** | Conversation Intelligence | Engagement metrics, timestamps, and media URLs |
| **Smart Processing** | Efficient Extraction | Optimized processing for large reply datasets |
| **Media Support** | Multi-Format | Images, videos, carousels, and text posts |
| **Content Analysis** | Full Text Extraction | Complete reply text and caption data |
| **Flexible Output** | Clean Data Format | Organized table views for easy analysis |
| **High Performance** | Fast & Reliable | Built-in rate limiting and error handling |

***

### ✨ Key Features

#### 🎯 **Advanced Reply Extraction**

- ✅ Extract complete reply posts with detailed metadata
- ✅ Comprehensive post information (text, media, timestamps)
- ✅ Author details with verification status
- ✅ Engagement metrics (likes, quotes, shares)
- ✅ Media URLs for images, videos, and carousels

#### 📊 **Comprehensive Content Analytics**

- ✅ Full reply text and caption extraction
- ✅ Timestamp tracking for temporal analysis
- ✅ Engagement metrics for popularity assessment
- ✅ Media type identification (image, video, carousel)
- ✅ Reply-to tracking for conversation mapping

#### ⚙️ **Professional Data Organization**

- ✅ Clean, organized table views in datasets
- ✅ Multiple data views (overview, content, media, detailed)
- ✅ Individual reply records for easy processing
- ✅ Export-ready formats (JSON, CSV, Excel)
- ✅ Structured data for analysis and reporting

#### 🔧 **Enterprise Features**

- ✅ Built-in rate limiting and retry logic
- ✅ Automatic error handling and recovery
- ✅ Scalable processing for large reply datasets
- ✅ Real-time extraction progress tracking
- ✅ Configurable extraction limits (1-100 replies)

***

### ⚡ Quick Start Guide

#### Step 1: Configure Input Parameters

```json
{
  "usernames": ["pubity"],
  "maxReplies": 50
}
```

#### Step 2: Run the Actor

Click "Start" in the Apify Console and monitor the extraction progress

#### Step 3: Download Results

Get your data in JSON, CSV, or Excel format from the dataset with organized table views

***

### 🔧 Input Configuration

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `usernames` | Array | ✅ Yes | - | Threads usernames (without @) to extract replies from |
| `maxReplies` | Integer | ❌ No | 20 | Maximum replies to extract per user (1-100) |

#### 📝 Input Configuration Examples

**Basic Reply Extraction:**

```json
{
  "usernames": ["pubity"]
}
```

**Multiple Users:**

```json
{
  "usernames": ["pubity", "zuck", "mosseri"],
  "maxReplies": 50
}
```

**Comprehensive Reply Analysis:**

```json
{
  "usernames": ["mrbeast"],
  "maxReplies": 100
}
```

***

### 📊 Output Data Structure

#### Individual Reply Record

```json
{
  "source": "threads",
  "target_username": "pubity",
  "post_id": "3768679628828060963_63241292143",
  "pk": "3768679628828060963",
  "code": "DRNCie0jC0j",
  "taken_at": 1763481699,
  "taken_at_timestamp": "2025-11-17T10:34:59.000Z",
  "user_id": "63241292143",
  "username": "pubity",
  "full_name": "Pubity",
  "is_verified": true,
  "profile_pic_url": "https://scontent-bru2-1.cdninstagram.com/v/t51.2885-19/357749851_6305413922868654_7338721450189801290_n.jpg",
  "caption_text": "This has got to be THE FLUFFIEST bunny of all time 😭😲",
  "caption_pk": "18077089204935789",
  "media_type": 2,
  "original_width": 720,
  "original_height": 1280,
  "image_url": "https://scontent-bru2-1.cdninstagram.com/v/t51.29350-15/...",
  "video_url": null,
  "has_audio": false,
  "carousel_media_count": 0,
  "has_carousel": false,
  "like_count": 1406,
  "reply_to_author": null,
  "quote_count": 7,
  "is_post_unavailable": false,
  "post_url": "https://www.threads.net/@pubity/post/DRNCie0jC0j",
  "profile_url": "https://www.threads.net/@pubity"
}
```

#### 📱 Dataset Views

| View | Purpose | Data Included |
|------|---------|---------------|
| **Overview** | Quick Summary | Essential reply data with engagement metrics |
| **Content** | Text Focus | Reply text, author info, and engagement data |
| **Media** | Media Focus | Images, videos, and media metadata |
| **Detailed** | Complete Data | All reply information with full metadata |

***

### 💡 Usage Examples

#### 📊 Business Intelligence Use Cases

| Use Case | Configuration | Expected Results |
|----------|---------------|------------------|
| **Content Analysis** | 50-100 replies | Analyze user's reply patterns and engagement |
| **Conversation Tracking** | 20-50 replies | Monitor user interactions and discussions |
| **Engagement Research** | 50-100 replies | Study reply engagement and content performance |
| **Brand Monitoring** | 30-80 replies | Track brand mentions and conversations |

#### 🎯 Real-World Scenarios

**1. Social Media Manager - Engagement Analysis:**

```json
{
  "usernames": ["nike", "adidas"],
  "maxReplies": 50
}
```

*Analyze brand's reply patterns and engagement strategies*

**2. Content Creator - Conversation Research:**

```json
{
  "usernames": ["mrbeast"],
  "maxReplies": 100
}
```

*Study creator's reply engagement and audience interaction*

**3. Market Researcher - Competitor Analysis:**

```json
{
  "usernames": ["competitor_brand"],
  "maxReplies": 75
}
```

*Analyze competitor's conversation strategy and engagement*

***

### 🎯 Best Practices

#### ✅ **Optimization Strategies**

| Strategy | Benefit | Implementation |
|----------|---------|----------------|
| **Start Small** | Cost Control | Begin with 20-50 replies for testing |
| **Batch Processing** | Multiple Users | Process multiple users in single run |
| **Regular Monitoring** | Data Quality | Track extraction success rates and data quality |
| **Export Management** | Efficiency | Use appropriate export formats for your analysis needs |

#### 🔧 **Performance Tips**

- ✅ **Smart Limits**: Set reasonable reply limits based on your analysis needs
- ✅ **Data Quality**: Monitor engagement metrics for content insights
- ✅ **Export Formats**: Choose JSON for detailed analysis, CSV for spreadsheet tools
- ✅ **Processing Time**: Allow adequate time for large reply extractions

#### ❌ **Common Pitfalls to Avoid**

- ❌ Don't extract more replies than necessary for your analysis
- ❌ Don't ignore rate limits and platform guidelines
- ❌ Don't run multiple extractions simultaneously on the same username

***

### 📈 Performance & Limits

#### ⚡ **Performance Metrics**

| Metric | Value | Description |
|--------|-------|-------------|
| **Processing Speed** | ~20 replies/minute | Average replies processed per minute |
| **Extraction Time** | 2-3 seconds/reply | Time per reply processing |
| **Success Rate** | 99.5%+ | Reliable data extraction |
| **Rate Limiting** | Built-in | Automatic throttling |

#### 📊 **Usage Limits**

| Limit Type | Value | Recommendation |
|------------|-------|----------------|
| **Max Replies** | 100 replies/user | Optimal for most use cases |
| **Optimal Range** | 20-50 replies/user | Best performance for quick analysis |
| **Timeout** | 30 seconds/request | Automatic retry on timeout |

***

### 🛠️ Troubleshooting

#### 🔍 **Common Issues & Solutions**

| Issue | Cause | Solution |
|-------|-------|----------|
| **No Data Returned** | Invalid username | Verify username exists and is public |
| **Partial Data** | Rate limiting | Wait and retry, or reduce reply count |
| **Missing Replies** | Private account | Only public replies are accessible |
| **Timeout Errors** | Network issues | Actor automatically retries failed requests |

#### 📋 **Error Messages Guide**

**"Usernames are required"**

- Ensure usernames array is provided and not empty

**"No valid usernames provided"**

- Check username format (no @ symbol, valid characters only)

**"Rate limit exceeded"**

- Built-in rate limiting activated - extraction will continue automatically

***

### ❓ Frequently Asked Questions

#### 🔐 **Authentication & Access**

**Q: Do I need a Threads account to use this scraper?**
A: No, this actor works with publicly available data and doesn't require any login credentials.

**Q: Can I scrape private account replies?**
A: No, only public accounts and their public replies can be extracted. Private accounts are not accessible.

#### 📊 **Data & Extraction**

**Q: How many replies can I extract per run?**
A: You can extract up to 100 replies per user. The optimal range is 20-50 replies for best performance.

**Q: What data is included for each reply?**
A: Complete reply data including text, media URLs, timestamps, author information, verification status, and engagement metrics.

**Q: How is the data organized in the output?**
A: Each reply is saved as a separate record with complete metadata in multiple organized table views.

#### 🛠️ **Technical Questions**

**Q: What output formats are available?**
A: Multiple dataset views: Overview, content view, media view, and detailed view with all metadata.

**Q: How long does extraction take?**
A: Typically 2-3 seconds per reply, depending on data size and network conditions.

**Q: Can I schedule regular extractions?**
A: Yes, use Apify's scheduling feature to run the actor automatically at set intervals.

***

### 🏷️ Tags

#### 🎯 **Primary Keywords**

- Threads User Replies Scraper
- Threads Replies Extractor
- Meta Threads Reply Data
- Threads Reply Analytics
- Threads Conversation Scraper

#### 📊 **Secondary Keywords**

- Threads replies extraction
- Threads conversation analytics
- Meta Threads replies
- Threads reply mining
- Social media conversation data
- Threads user replies
- Reply engagement tracking
- Threads conversation research

#### 🔍 **Long-tail Keywords**

- How to scrape Threads user replies
- Extract reply data from Meta Threads
- Threads reply data extraction tool
- Automated Threads reply scraping
- Threads conversation analysis tool
- Meta Threads reply mining software

#### 📈 **Industry Terms**

- Social media intelligence
- Conversation analytics
- Content monitoring tools
- Reply engagement tracking
- Conversation quality analysis
- Social listening platform

***

### 🚀 **Get Started Now**

**Ready to extract Threads replies and download media content?**

1. Click ["Try for free"](https://apify.com?fpr=ykgg9c) to test the actor
2. Enter your username and configure filters
3. Get comprehensive reply data.

**⭐ If this actor helps your workflow, please give it a star!**

***

### Related Actors 🤝

- **[Threads Media Downloader](https://apify.com/igview-owner/threads-media-downloader)**
- **[Threads Profile Following Scraper](https://apify.com/igview-owner/threads-user-following-scraper)**
- **[Threads Profile Followers Scraper](https://apify.com/igview-owner/threads-user-followers-scraper)**
- **[Threads Profile Media Scraper](https://apify.com/igview-owner/threads-user-media-scraper)**
- **[Threads Profile Scraper](https://apify.com/igview-owner/meta-threads-profile-scraper)**
- **[Threads Search Scraper](https://apify.com/igview-owner/threads-search-scraper)**

***

### 🚀 **Ready to Extract Threads Replies?**

**Start your first extraction now and get comprehensive reply data in minutes!**

🎯 **Perfect for**: Social media managers, content creators, researchers, data analysts, and brand monitoring professionals\
📊 **Use cases**: Conversation analysis, engagement tracking, content monitoring, market research, brand sentiment analysis\
⚡ **Benefits**: Complete reply data, organized output, conversation insights, reliable extraction

***

*Built with ❤️ for the Apify community. Extract smarter, analyze deeper, grow faster.*

# Actor input Schema

## `usernames` (type: `array`):

📝 Enter Threads usernames (without @) to extract their replies. Only public accounts are supported. You can add multiple usernames to process them in batch.

## `maxReplies` (type: `integer`):

🔢 Maximum number of replies to extract per username. Set higher for comprehensive extraction or lower for quick sampling. Default is 28 replies.

## Actor input object example

```json
{
  "usernames": [
    "pubity"
  ],
  "maxReplies": 15
}
```

# Actor output Schema

## `overview` (type: `string`):

Open the dataset view with an overview of threads replies.

## `content` (type: `string`):

Open the dataset view with detailed content information of replies.

## `media` (type: `string`):

Open the dataset view with media information of replies.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "usernames": [
        "pubity"
    ],
    "maxReplies": 15
};

// Run the Actor and wait for it to finish
const run = await client.actor("igview-owner/threads-replies-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "usernames": ["pubity"],
    "maxReplies": 15,
}

# Run the Actor and wait for it to finish
run = client.actor("igview-owner/threads-replies-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "usernames": [
    "pubity"
  ],
  "maxReplies": 15
}' |
apify call igview-owner/threads-replies-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,igview-owner/threads-replies-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/T4BU88nr3bhTQkE5o/builds/xGb7figtUbeoN76BW/openapi.json