# Threads User Posts Scraper (`data_direct/threads-user-posts-scraper`) Actor

Get a user's recent Threads posts by username

- **URL**: https://apify.com/data\_direct/threads-user-posts-scraper.md
- **Developed by:** [Data Direct](https://apify.com/data_direct) (community)
- **Categories:** Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $6.00 / 1,000 runs

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Threads User Posts Scraper

Get a single Threads user's recent posts (their feed) by username. Returns post text, engagement metrics (likes, replies, reposts, quotes), author metadata, hashtags, mentions, and media details.

### Features

- Real-time Threads data — results are fetched live at run time, never cached or stale
- No login, cookies, or proxy configuration needed — just provide the input and run
- Each result is pushed as a separate dataset item, exportable as JSON, CSV, or Excel
- Fast: a typical run finishes in seconds

### Input

| Field | Type | Required | Description |
|---|---|---|---|
| `username` | string | yes | Threads username, with or without leading @ (max 100 characters) |

### Pricing

This Actor is billed **per run** — a flat **$0.006 per run**.

- One run returns all matching results for your input, and costs $0.006 — whether it comes back with one result or hundreds.
- You’re only charged when a run succeeds. Failed runs are free.

### Example output

```json
{
  "count": 12,
  "posts": [
    {
      "title": "@natgeo on Threads",
      "url": "https://www.threads.com/@natgeo/post/DGw9k2aQ1rT",
      "date": "2026-06-19 17:40:11",
      "author": "natgeo",
      "source": "Threads",
      "domain": "threads.com",
      "snippet": "A curious fox pauses in the first snow of the season.",
      "likes": 2210,
      "replies": 54,
      "reposts": 133,
      "quotes": 7,
      "reshares": 12,
      "author_name": "National Geographic",
      "author_verified": true,
      "is_reply": false,
      "is_pinned": false,
      "media_type": "image",
      "image_url": "https://scontent.cdninstagram.com/v/t51.82787-15/fox.jpg",
      "video_url": "",
      "hashtags": [],
      "mentions": [],
      "carousel_media": [],
      "link_preview": null,
      "quoted_post": null,
      "post_id": "3919887766554430021",
      "code": "DGw9k2aQ1rT"
    }
  ]
}
```

### About

Maintained by **Data Direct** — a small suite of fast, reliable Threads and web-data scrapers. Each actor returns clean, structured results with no login, cookies, or proxy setup required. Have a question or a custom data need? Open an issue on this actor.

# Actor input Schema

## `username` (type: `string`):

Threads username, with or without leading @ (max 100 characters)

## Actor input object example

```json
{
  "username": "zuck"
}
```

# 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 = {
    "username": "zuck"
};

// Run the Actor and wait for it to finish
const run = await client.actor("data_direct/threads-user-posts-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 = { "username": "zuck" }

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

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

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

```

## CLI example

```bash
echo '{
  "username": "zuck"
}' |
apify call data_direct/threads-user-posts-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=data_direct/threads-user-posts-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/t5iZ5YDltWlSUzeW2/builds/zZe3CB4qtZUAn16RT/openapi.json