# Instagram Pinned Reel Placement Review

**Use case:** 

Export public Reel IDs, pinned flags and preview links from Instagram profile lists for a manual review of featured content. Social teams can check which returned records carry a pinned flag and revisit the profile before adjusting their own featured content plan.

## Input

```json
{
  "inputList": [
    "nike",
    "adidas"
  ],
  "pagesPerProfile": 1
}
```

## Output

```json
{
  "input": {
    "label": "Input",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "image_url": {
    "label": "Reel thumbnail",
    "format": "string"
  },
  "url": {
    "label": "Reel URL",
    "format": "string"
  },
  "id": {
    "label": "Reel ID",
    "format": "string"
  },
  "pk": {
    "label": "Reel PK",
    "format": "string"
  },
  "code": {
    "label": "Shortcode",
    "format": "string"
  },
  "type": {
    "label": "Result type",
    "format": "string"
  },
  "product_type": {
    "label": "Instagram product type",
    "format": "string"
  },
  "media_type": {
    "label": "Media type",
    "format": "integer"
  },
  "like_count": {
    "label": "Likes",
    "format": "integer"
  },
  "comment_count": {
    "label": "Comments",
    "format": "integer"
  },
  "view_count": {
    "label": "Views",
    "format": "integer"
  },
  "play_count": {
    "label": "Plays",
    "format": "integer"
  },
  "width": {
    "label": "Media width",
    "format": "integer"
  },
  "height": {
    "label": "Media height",
    "format": "integer"
  },
  "counts_hidden": {
    "label": "Counts hidden",
    "format": "boolean"
  },
  "is_pinned": {
    "label": "Pinned in Reels tab",
    "format": "boolean"
  },
  "author.profile_picture_url": {
    "label": "Author picture",
    "format": "string"
  },
  "author.profile_picture_url_hd": {
    "label": "Author HD picture",
    "format": "string"
  },
  "author.username": {
    "label": "Author username",
    "format": "string"
  },
  "author.name": {
    "label": "Author name",
    "format": "string"
  },
  "author.id": {
    "label": "Author ID",
    "format": "string"
  },
  "author.pk": {
    "label": "Author PK",
    "format": "string"
  },
  "author.profile_url": {
    "label": "Author profile URL",
    "format": "string"
  },
  "author.is_verified": {
    "label": "Author verified",
    "format": "boolean"
  },
  "author.is_private": {
    "label": "Author private",
    "format": "boolean"
  },
  "image_versions": {
    "label": "All thumbnail versions",
    "format": "array"
  }
}
```

## About this Actor

This example demonstrates how to use [Instagram Profile Reels Scraper – Reel Export](https://apify.com/scrapingmonkey/instagram-profile-reels.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapingmonkey/instagram-profile-reels.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/scrapingmonkey/instagram-profile-reels.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`).