# Instagram Comments Scraper (`clappi/instagram-comments-scraper`) Actor

Fast, reliable and low-cost Instagram Comments Scraper. Extract comments, likes, and author data from any Instagram post. Perfect for sentiment analysis and research.

- **URL**: https://apify.com/clappi/instagram-comments-scraper.md
- **Developed by:** [Clappi](https://apify.com/clappi) (community)
- **Categories:** Automation, Social media, Videos
- **Features:** Limited permissions
- **Stats:** 2,110 total users, 138 monthly users, 100.0% runs succeeded, 7 bookmarks
- **User rating**: 4.79 out of 5 stars

## Pricing

from $1.30 / 1,000 comments

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Instagram Comment Scraper

Extract comments from Instagram posts, reels, and IGTV videos at scale. Fast, reliable, and easy to use.

### Why This Scraper?

- **Fast** - Parallel processing for multiple posts
- **Complete Data** - Get full comment details including author info, likes, replies count
- **Reliable** - Built-in pagination to fetch all comments, not just the first page
- **Simple** - Just paste URLs and run

### Input

| Field | Type | Description |
|-------|------|-------------|
| `postUrls` | array | Instagram post/reel/IGTV URLs |
| `maxCommentsPerPost` | number | Limit per post; standard results are sorted by likes (default: 100) |
| `includeFacebookComments` | boolean | Include Facebook comments for eligible cross-posted content (default: false) |

#### Example Input

```json
{
  "postUrls": [
    "https://www.instagram.com/reel/ABC123/",
    "https://www.instagram.com/p/XYZ789/"
  ],
  "maxCommentsPerPost": 100,
  "includeFacebookComments": false
}
```

### Output

Each comment includes:

```json
{
  "id": "17890123456789",
  "text": "Amazing post!",
  "createdAt": 1704891600,
  "createdAtISO": "2024-01-10T15:00:00.000Z",
  "likes": 42,
  "childCommentCount": 3,
  "author": {
    "id": "12345678",
    "username": "johndoe",
    "fullName": "John Doe",
    "profilePicUrl": "https://...",
    "isVerified": false
  },
  "postUrl": "https://www.instagram.com/reel/ABC123/",
  "postShortcode": "ABC123"
}
```

### Supported URLs

- `https://www.instagram.com/p/SHORTCODE/` - Posts
- `https://www.instagram.com/reel/SHORTCODE/` - Reels
- `https://www.instagram.com/tv/SHORTCODE/` - IGTV

### Use Cases

- **Market Research** - Analyze audience sentiment and feedback
- **Competitor Analysis** - Monitor engagement on competitor posts
- **Influencer Vetting** - Check comment quality and authenticity
- **Content Strategy** - Understand what resonates with audiences
- **Lead Generation** - Find potential customers engaging with relevant content

### Cost Estimation

This scraper is optimized for efficiency. Fetching 1000 comments typically costs less than $0.10 in platform usage.

# Actor input Schema

## `postUrls` (type: `array`):

List of Instagram post URLs to scrape comments from. Supports posts, reels, and IGTV.

## `maxCommentsPerPost` (type: `integer`):

Maximum number of comments to scrape from each post. Standard results are returned in descending like-count order.

## `includeFacebookComments` (type: `boolean`):

Include Facebook comments for eligible cross-posted content. This mode may take longer and availability depends on the source post.

## Actor input object example

```json
{
  "postUrls": [
    "https://www.instagram.com/reel/DR5fmMgEjWs/",
    "https://www.instagram.com/p/DP1ewP1EbyD"
  ],
  "maxCommentsPerPost": 15,
  "includeFacebookComments": false
}
```

# Actor output Schema

## `results` (type: `string`):

The collected comment records.

# 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 = {
    "postUrls": [
        "https://www.instagram.com/reel/DR5fmMgEjWs/",
        "https://www.instagram.com/p/DP1ewP1EbyD"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("clappi/instagram-comments-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 = { "postUrls": [
        "https://www.instagram.com/reel/DR5fmMgEjWs/",
        "https://www.instagram.com/p/DP1ewP1EbyD",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("clappi/instagram-comments-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "postUrls": [
    "https://www.instagram.com/reel/DR5fmMgEjWs/",
    "https://www.instagram.com/p/DP1ewP1EbyD"
  ]
}' |
apify call clappi/instagram-comments-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,clappi/instagram-comments-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/aY8DKpgIDJq2ZVcwP/builds/6pBaFGIEWFYhIZ7g9/openapi.json