# Instagram Reels Scraper (`goat255/instagram-reels-scraper`) Actor

Scrape a public Instagram account's reels without a login. Give a list of usernames and get back each reel as a clean row: permalink, owner, play, like and comment counts, caption, duration, post date, video and thumbnail URLs. Pagination is walked automatically up to your chosen limit per account.

- **URL**: https://apify.com/goat255/instagram-reels-scraper.md
- **Developed by:** [Goutam Soni](https://apify.com/goat255) (community)
- **Categories:** Social media, Marketing, Automation
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 1,000 reel scrapeds

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

## Instagram Reels Scraper

Pull a public Instagram account's reels, without a login. Hand the actor a list of usernames and get back a clean, structured row for every reel: its permalink, the owner, play, like and comment counts, caption, duration, post date, and video and thumbnail URLs. Pagination is walked automatically up to the limit you set per account.

### What it does

- **A full reels feed** per account, walked page after page until it reaches your cap or the account runs out of reels.
- **One clean row per reel**, with the owner, play/like/comment metrics, caption, duration and post date already parsed into fields.
- **Direct video and thumbnail URLs** on every row.
- **Several accounts at once**, processed in parallel.
- **No login required.** You never hand over an Instagram account or a password.

Common uses: creator and competitor research, tracking a brand's reel performance, sourcing trending short-form content, and building a video dataset.

Private accounts do not expose their reels, so a private target returns a single row noting `private_account`.

### Input

| Field | Type | Description |
|---|---|---|
| `usernames` | array | Accounts whose reels you want. Handles, @handles, or profile links all work. |
| `maxReelsPerUser` | integer | Cap per account. Default 100. |
| `concurrency` | integer | How many accounts to process in parallel. Default 3. |

#### Example input

```json
{
  "usernames": ["nasa", "natgeo"],
  "maxReelsPerUser": 500,
  "concurrency": 3
}
```

### Output

Each row is one reel:

```json
{
  "type": "reel",
  "queryUsername": "nasa",
  "shortcode": "CabcdEFghij",
  "url": "https://www.instagram.com/reel/CabcdEFghij/",
  "ownerUsername": "nasa",
  "ownerFullName": "NASA",
  "ownerId": "123456789",
  "ownerIsVerified": true,
  "playCount": 1200000,
  "likeCount": 85000,
  "commentCount": 640,
  "caption": "Launch day.",
  "durationSecs": 30.5,
  "takenAt": "2026-07-19T15:00:00.000Z",
  "videoUrl": "https://...",
  "thumbnailUrl": "https://...",
  "scrapedAt": "2026-07-21T09:00:00.000Z"
}
```

### Pricing

Pay per reel returned, billed by result. No subscription. You only pay for the rows you get, plus a small flat start fee per run.

### Privacy

To improve our actors we collect anonymized usage telemetry (run stats and input patterns). No personal account data is collected.

# Actor input Schema

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

Instagram accounts whose reels you want. Handles, @handles, or profile links all work. Examples: nasa, @natgeo, https://www.instagram.com/nike/. The account must be public.

## `maxReelsPerUser` (type: `integer`):

Cap on reels returned per account. Pagination is walked across multiple pages until this is reached or the account runs out of reels.

## `concurrency` (type: `integer`):

How many accounts to process in parallel.

## Actor input object example

```json
{
  "usernames": [
    "nasa"
  ],
  "maxReelsPerUser": 100,
  "concurrency": 3
}
```

# 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": [
        "nasa"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("goat255/instagram-reels-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": ["nasa"] }

# Run the Actor and wait for it to finish
run = client.actor("goat255/instagram-reels-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": [
    "nasa"
  ]
}' |
apify call goat255/instagram-reels-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=goat255/instagram-reels-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/rVq2lI78CU5neZWfa/builds/1YpjPSAVLuizNU0bW/openapi.json