# Export Instagram Comments to CSV

**Use case:** 

Pull the comments from any public Instagram post into a spreadsheet. Every row carries the comment text, the author's username, its like count and a timestamp, with the parent post reference kept so you can join several posts back together. Set the limit to control how deep it goes and what you pay.

## Input

```json
{
  "operation": "comments",
  "targets": [
    "https://www.instagram.com/p/DclXiJPyu7c/"
  ],
  "platform": "auto",
  "limit": 100,
  "options": {}
}
```

## Output

```json
{
  "platform": {
    "label": "Platform",
    "format": "string"
  },
  "username": {
    "label": "Username",
    "format": "string"
  },
  "hashtag": {
    "label": "Hashtag",
    "format": "string"
  },
  "title": {
    "label": "Title / caption",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "followers": {
    "label": "Followers",
    "format": "integer"
  },
  "views": {
    "label": "Views",
    "format": "integer"
  },
  "likes": {
    "label": "Likes",
    "format": "integer"
  },
  "comments": {
    "label": "Comments",
    "format": "integer"
  },
  "shares": {
    "label": "Shares",
    "format": "integer"
  },
  "error": {
    "label": "Error",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Social Media Metrics Scraper - Instagram, Facebook, YouTube & X](https://apify.com/zaver.api/universal-social-media-metrics-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/zaver.api/universal-social-media-metrics-scraper.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/zaver.api/universal-social-media-metrics-scraper.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`).