# Instagram  Video & Reels Downloader Premium (`alpha-scraper/instagram-video-reels-downloader-premium`) Actor

Download Instagram Reels and Videos while extracting valuable metadata including creator username, caption, likes, comments, upload date, thumbnail, duration, resolution, video URL, audio URL, and more. Supports multiple Instagram URLs with structured JSON output.

- **URL**: https://apify.com/alpha-scraper/instagram-video-reels-downloader-premium.md
- **Developed by:** [Alpha Scraper](https://apify.com/alpha-scraper) (community)
- **Categories:** Videos, Social media, Other
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $8.99 / 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.

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

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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 Video & Reels Downloader Premium

### 📥 Download Instagram Reels, Videos & Extract Metadata Instantly

The **Instagram Video & Reels Downloader Premium** actor allows you to extract downloadable media links and valuable public metadata from one or multiple Instagram Reel and Video URLs.

Simply provide Instagram URLs and receive structured JSON output containing video download links, audio links, thumbnails, engagement metrics, upload dates, creator usernames, video details, and more.

Perfect for:

✅ Content Archiving

✅ Social Media Research

✅ Marketing Analysis

✅ Creator Monitoring

✅ Media Collection

✅ Data Aggregation

✅ Competitive Research

✅ Content Intelligence

---

## 🌟 Why Use This Instagram Reels Downloader?

Instagram contains millions of valuable videos and reels.

Manually collecting metadata and download links can be slow and inefficient.

This actor helps you:

* Download Instagram Reels
* Download Instagram Videos
* Extract Instagram Metadata
* Collect Instagram Engagement Data
* Archive Instagram Content
* Monitor Public Instagram Posts
* Build Content Databases
* Analyze Creator Performance

---

## 🔥 Main Features

### 🎬 Instagram Reels Downloader

Extract direct downloadable video URLs from Instagram Reels.

---

### 🎵 Audio Downloader

Get separate audio URLs whenever available.

Useful for:

* Audio archiving
* Music tracking
* Content analysis
* Voice extraction workflows

---

### 📸 Thumbnail Extraction

Retrieve high-quality thumbnail images from Instagram posts and reels.

---

### ❤️ Engagement Statistics

Collect:

* Like counts
* Comment counts

Perfect for influencer research and content performance analysis.

---

### 👤 Creator Information

Retrieve creator usernames and author details associated with public Instagram content.

---

### 📅 Upload Date Detection

Get publication dates for historical tracking and content monitoring.

---

### 📊 Video Details

Extract:

* Duration
* Resolution
* Format
* Media URLs

---

### 🔗 Multiple URL Support

Process one or many Instagram URLs in a single run.

---

### 📦 Structured JSON Output

Receive clean JSON data ready for:

* APIs
* Databases
* Dashboards
* Analytics Tools
* Data Pipelines

---

## 🎯 Supported Instagram URLs

The actor supports public Instagram media URLs such as:

```text
https://www.instagram.com/reel/XXXXXXXXXXX/

https://www.instagram.com/reel/XXXXXXXXXXX/?utm_source=ig_web_copy_link
````

***

## 📥 Input Example

```json
{
    "startUrls": [
        "https://www.instagram.com/reel/DZ_VUPItcc3/",
        "https://www.instagram.com/reel/DLsv5Toh44g/?utm_source=ig_web_copy_link&igsh=MzRlODBiNWFlZA=="
    ]
}
```

***

## 📤 Output Example

```json
{
  "original_url": "https://www.instagram.com/reel/DZ_VUPItcc3/",
  "author_username": "creator_name",
  "description": "Sample Reel Caption",
  "likes": "14.2K",
  "comments": "823",
  "upload_date": "June 20, 2026",
  "video_url": "https://video-url.com",
  "audio_url": "https://audio-url.com",
  "merged_video_url": "https://merged-video-url.com",
  "thumbnail_url": "https://thumbnail-url.com",
  "duration": 32,
  "resolution": "1080x1920",
  "format": "mp4",
  "feedback": "Media found and metadata extracted successfully."
}
```

***

## 📚 Output Fields Explained

### `original_url`

The Instagram URL submitted by the user.

Example:

```json
"original_url": "https://www.instagram.com/reel/xxxx/"
```

***

### `author_username`

Instagram username of the content creator.

Example:

```json
"author_username": "creator_name"
```

***

### `description`

Caption or description associated with the Reel or Video.

Example:

```json
"description": "Amazing travel reel"
```

***

### `likes`

Total likes on the content.

Example:

```json
"likes": "14.2K"
```

***

### `comments`

Total comments on the content.

Example:

```json
"comments": "823"
```

***

### `upload_date`

Date when the content was published.

Example:

```json
"upload_date": "June 20, 2026"
```

***

### `video_url`

Highest available video download URL.

Example:

```json
"video_url": "https://..."
```

***

### `audio_url`

Direct audio file URL when available.

Example:

```json
"audio_url": "https://..."
```

***

### `merged_video_url`

Combined media URL returned for the content.

Example:

```json
"merged_video_url": "https://..."
```

***

### `thumbnail_url`

Preview image of the Instagram Reel or Video.

Example:

```json
"thumbnail_url": "https://..."
```

***

### `duration`

Video duration in seconds.

Example:

```json
"duration": 32
```

***

### `resolution`

Video resolution.

Example:

```json
"resolution": "1080x1920"
```

***

### `format`

Media format.

Example:

```json
"format": "mp4"
```

***

### `feedback`

Status message describing extraction results.

Example:

```json
"feedback": "Media found and metadata extracted successfully."
```

***

## 🎠 Carousel Post Support

When Instagram content contains multiple media items, the actor can return structured information for each item.

Example:

```json
{
  "is_carousel": true,
  "carousel_media_count": 5,
  "entries": [...]
}
```

***

## 📈 Use Cases

### 📊 Social Media Analytics

Track engagement metrics across Instagram content.

***

### 🎯 Influencer Research

Analyze creator performance and audience interaction.

***

### 📚 Content Archiving

Store Instagram media for future reference.

***

### 📰 Media Monitoring

Monitor public Instagram posts and reels.

***

### 🏢 Brand Intelligence

Track branded content and campaign performance.

***

### 🔍 Competitive Analysis

Analyze competitors' Instagram content strategies.

***

### 🤖 AI & Data Projects

Use structured JSON outputs in:

- Machine Learning
- AI Workflows
- Dashboards
- Reporting Systems
- Data Warehouses

***

## ⚡ Benefits

#### Faster Data Collection

No manual copying or downloading.

***

#### Bulk Processing

Analyze multiple Instagram URLs in one run.

***

#### Ready-to-Use JSON

Perfect for developers and analysts.

***

#### Downloadable Media URLs

Access video and audio links directly.

***

#### Rich Metadata

Receive detailed information about each Reel or Video.

***

#### Consistent Results

Structured output simplifies automation.

***

## 🏆 Best Practices

### Use Public Instagram URLs

Publicly accessible content generally provides the best results.

***

### Submit Clean URLs

Preferred format:

```text
https://www.instagram.com/reel/XXXXXXXX/
```

***

### Process Multiple URLs Together

Batch processing improves workflow efficiency.

***

### Store Results in Databases

Recommended for:

- Historical tracking
- Analytics
- Reporting

***

### Validate URLs Before Submission

Ensure URLs are valid Instagram Reel or Video links.

***

## ⚠️ Common Errors & How To Avoid Them

### Invalid URL

#### Cause

Incorrect Instagram URL format.

#### Solution

Verify the URL before running the actor.

***

### Removed Content

#### Cause

The Instagram post has been deleted.

#### Solution

Confirm that the content still exists.

***

### Private Content

#### Cause

The post or account is private.

#### Solution

Use publicly accessible Instagram content.

***

### Restricted Content

#### Cause

Instagram may restrict access to certain media.

#### Solution

Verify that the content is publicly viewable.

***

### Temporary Access Issues

#### Cause

Temporary platform-side limitations.

#### Solution

Retry the run after some time.

***

## 🎯 Who Is This Actor For?

✅ Social Media Managers

✅ Marketing Agencies

✅ Content Researchers

✅ Influencer Analysts

✅ Brand Monitoring Teams

✅ Data Scientists

✅ Developers

✅ Content Archivists

✅ Business Intelligence Teams

***

### 🔑 Keywords

Instagram Reels Downloader, Instagram Video Downloader, Instagram Reel Scraper, Instagram Metadata Extractor, Instagram Media Downloader, Instagram Reel Data API, Instagram Public Data Scraper, Instagram Video Metadata, Instagram Reel Analytics, Instagram Content Downloader, Instagram Video Extractor, Instagram Reel Download API, Instagram Media Scraper, Instagram Engagement Data, Instagram Video Intelligence, Instagram Reel Research Tool, Instagram Content Analysis, Instagram Video Collector, Instagram Reel Monitoring, Instagram Analytics Tool.

***

### 🚀 Start Downloading Instagram Reels & Videos Today

Extract video URLs, audio URLs, thumbnails, engagement statistics, creator information, upload dates, resolutions, formats, and structured metadata from public Instagram content in seconds.

**Fast • Reliable • Structured • Ready for Automation** 🎉

***

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# Actor input Schema

## `startUrls` (type: `array`):

List of one or more instagram-reels URLs

## Actor input object example

```json
{
  "startUrls": [
    "https://www.instagram.com/reel/DZ_VUPItcc3/",
    "https://www.instagram.com/reel/DLsv5Toh44g/?utm_source=ig_web_copy_link&igsh=MzRlODBiNWFlZA=="
  ]
}
```

# 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 = {
    "startUrls": [
        "https://www.instagram.com/reel/DZ_VUPItcc3/",
        "https://www.instagram.com/reel/DLsv5Toh44g/?utm_source=ig_web_copy_link&igsh=MzRlODBiNWFlZA=="
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("alpha-scraper/instagram-video-reels-downloader-premium").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 = { "startUrls": [
        "https://www.instagram.com/reel/DZ_VUPItcc3/",
        "https://www.instagram.com/reel/DLsv5Toh44g/?utm_source=ig_web_copy_link&igsh=MzRlODBiNWFlZA==",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("alpha-scraper/instagram-video-reels-downloader-premium").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 '{
  "startUrls": [
    "https://www.instagram.com/reel/DZ_VUPItcc3/",
    "https://www.instagram.com/reel/DLsv5Toh44g/?utm_source=ig_web_copy_link&igsh=MzRlODBiNWFlZA=="
  ]
}' |
apify call alpha-scraper/instagram-video-reels-downloader-premium --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Instagram  Video & Reels Downloader Premium",
        "description": "Download Instagram Reels and Videos while extracting valuable metadata including creator username, caption, likes, comments, upload date, thumbnail, duration, resolution, video URL, audio URL, and more. Supports multiple Instagram URLs with structured JSON output.",
        "version": "0.0",
        "x-build-id": "vpoRhHIPPR3ksWpsB"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/alpha-scraper~instagram-video-reels-downloader-premium/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-alpha-scraper-instagram-video-reels-downloader-premium",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/alpha-scraper~instagram-video-reels-downloader-premium/runs": {
            "post": {
                "operationId": "runs-sync-alpha-scraper-instagram-video-reels-downloader-premium",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/alpha-scraper~instagram-video-reels-downloader-premium/run-sync": {
            "post": {
                "operationId": "run-sync-alpha-scraper-instagram-video-reels-downloader-premium",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "startUrls": {
                        "title": "Start URLs",
                        "type": "array",
                        "description": "List of one or more instagram-reels URLs",
                        "items": {
                            "type": "string"
                        }
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```