# Map the replies under a public Threads post

**Use case:** 

Fetches a sample public Threads post and walks its replies three levels deep, keeping up to 10 replies per node, with engagement counts on each one. The output is a conversation graph you can load into a spreadsheet or network tool. Paste your own post URLs to study any discussion, no Meta login needed.

## Input

```json
{
  "postUrls": [
    "https://www.threads.net/@mosseri/post/DYX3oNcAO4r"
  ],
  "maxDepth": 3,
  "maxRepliesPerNode": 10,
  "useProxy": true
}
```

## Output

```json
{
  "row_type": {
    "label": "Type"
  },
  "depth": {
    "label": "Depth"
  },
  "author_username": {
    "label": "Author"
  },
  "reply_text": {
    "label": "Text"
  },
  "like_count": {
    "label": "Likes"
  },
  "reply_count": {
    "label": "Replies"
  },
  "scraped_at": {
    "label": "Scraped at"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Threads Scraper — Replies & Conversation Graph Actor is ready to run with the inputs already set for "Map the replies under a public Threads post". [Sign up or log in](https://console.apify.com/create-task-from-example/Gz1SNZsQmFgAvK5W4) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Map the replies under a public Threads post" task

The Threads Scraper — Replies & Conversation Graph Actor will start running based on the input automatically. You can also change all the input fields, like threads post urls, maximum reply depth, and more, to match your specific use case.

### 3. Receive the "Map the replies under a public Threads post" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as type, depth, author, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Map the replies under a public Threads post" task via API](https://apify.com/devilscrapes/threads-reply-tree.md).

## About this Actor

This example demonstrates how to use [Threads Scraper — Replies & Conversation Graph](https://apify.com/devilscrapes/threads-reply-tree.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/devilscrapes/threads-reply-tree.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/devilscrapes/threads-reply-tree.md

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`).