# Instagram Posts Scraper (`instagapix/instagram-posts-scraper`) Actor

Scrape public Instagram posts by username — photos, videos, reels & carousels — with full metadata: captions, likes, comments, views, timestamps, media URLs & thumbnails. Bulk usernames, no login required. Results export to JSON, CSV or Excel.

- **URL**: https://apify.com/instagapix/instagram-posts-scraper.md
- **Developed by:** [BAKI UCAN](https://apify.com/instagapix) (community)
- **Categories:** Social media, Lead generation, Automation
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## Instagram Posts Scraper

Extract public **Instagram posts** by username — photos, videos, reels and carousels — with full metadata: captions, like/comment/view counts, timestamps, media URLs and thumbnails. Fast, reliable, **no login or cookies required**.

### 🚀 What it does

Give it one or more Instagram usernames (or user IDs) and get their recent posts as structured JSON — ready for analytics, competitor research, influencer marketing and data pipelines.

### ✨ Features

- 📸 All post types — photos, videos, reels, carousels
- 📊 Full engagement — likes, comments, views/plays
- 📝 Captions & accessibility text
- 🔗 Media URLs — images, videos, thumbnails, carousel items
- ⚡ Bulk — many usernames in one run
- 🔑 No account, cookies or login

### 📥 Input

| Field | Type | Description |
|---|---|---|
| `usernames` | array | Instagram usernames or IDs, e.g. `["nike","natgeo"]` |
| `postsLimit` | integer | Max recent posts per username (default 12) |

```json
{ "usernames": ["nike"], "postsLimit": 12 }
```

### 📤 Output (one item per post)

```json
{
  "input_username": "nike",
  "code": "DZK3iOsRlWX",
  "taken_at": "2026-06-04T15:59:27Z",
  "media_type": 2,
  "like_count": 2763829,
  "comment_count": 59584,
  "play_count": 63484454,
  "caption_text": "It was all going to plan...",
  "thumbnail_url": "https://...",
  "video_url": "https://...",
  "user": { "username": "nike", "full_name": "Nike", "is_verified": true }
}
```

### 💡 Use cases

Social media analytics · competitor monitoring · influencer vetting · content aggregation · trend analysis.

### ⚖️ Disclaimer

Accesses **publicly available** data only. Independent service, **not affiliated with, endorsed by, or sponsored by Instagram or Meta Platforms, Inc.** Instagram is a trademark of Meta Platforms, Inc.

# Actor input Schema

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

Instagram usernames or user IDs to scrape posts from.

## `postsLimit` (type: `integer`):

Max recent posts to fetch per username.

## Actor input object example

```json
{
  "usernames": [
    "nike"
  ],
  "postsLimit": 12
}
```

# 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": [
        "nike"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("instagapix/instagram-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 = { "usernames": ["nike"] }

# Run the Actor and wait for it to finish
run = client.actor("instagapix/instagram-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 '{
  "usernames": [
    "nike"
  ]
}' |
apify call instagapix/instagram-posts-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/LHj9YMUTwrF2UmnxW/builds/6lwCtPIZo70lsgRDg/openapi.json