# Instagram Comment Scraper (`scrapeai/instagram-comment-scraper`) Actor

Scrape Instagram comments from posts or reels. Just add one or more Instagram post URLs to get comment text, post and comment IDs, replies, timestamp, owner IDs, usernames, profile pics. Export scraped datasets, run the scraper via API, schedule and monitor runs or integrate with other tools.

- **URL**: https://apify.com/scrapeai/instagram-comment-scraper.md
- **Developed by:** [ScrapeAI](https://apify.com/scrapeai) (community)
- **Categories:** Social media, Developer tools, Automation
- **Stats:** 7 total users, 2 monthly users, 83.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.90 / 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/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

This page documents the Instagram Comment Scraper actor, including its configured inputs, live target defaults, and record limits.

#### Live target configuration

- Target status: `configured_from_store_input_schema`
- Target kind: `web-or-api`
- Source domain: `www.instagram.com`
- Start URLs: https://www.instagram.com/p/DRaAMuaiTZR/
- End URLs: none configured
- Default query: p DRaAMuaiTZR
- Local maxItems: 10
- Production schema default/prefill maxItems: 50 (maximum 50)

The actor requests live public pages or APIs only. It never emits static or mock records and never falls back to a reference site. If no verified public target is configured, it fails with an actionable input error.

Run locally:

```powershell
npm start
```

Then validate the generated dataset against .actor/dataset_schema.json.

#### Basic local verification

`npm start` uses this folder's input.json. Accepted live records are individual JSON files in storage/datasets/default/. Local maxItems is 10; the production schema default/prefill is 50 (maximum 50). Basic content and entity-identity checks reject configuration, navigation and duplicate wrappers. Schema validation alone does not certify all platform-specific targetInput options or advertised features.

# Changelog

This Actor's version history is a separate document: https://apify.com/scrapeai/instagram-comment-scraper/changelog.md

# Actor input Schema

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

Live public target URLs to request first. These can be replaced at run time.

## `endUrls` (type: `array`):

Optional live target boundary URLs. They are fetched after start URLs and are kept separate in output.

## `query` (type: `string`):

Target query used by a derived source URL when the actor supports query search.

## `maxItems` (type: `integer`):

Maximum number of live records to return. Production default/prefill is 50; maximum is 50. Local input.json stays capped at 10.

## `maxRequestRetries` (type: `integer`):

Number of retries for a live target request.

## `requestTimeoutSecs` (type: `integer`):

Maximum time to wait for one live target request.

## `maxPages` (type: `integer`):

Maximum live listing/API pages to request, including discovered next pages.

## `crawlDetails` (type: `boolean`):

When live rows expose same-site item URLs, fetch those detail pages in bulk and attach their fields.

## `maxDetailPages` (type: `integer`):

Maximum same-site detail URLs to fetch per run.

## `detailConcurrency` (type: `integer`):

Maximum number of live detail requests in flight at once.

## `browserFallback` (type: `boolean`):

If the direct live request is blocked or returns a JavaScript shell, render the same target in a local headless browser and parse the live DOM.

## `proxyEnabled` (type: `boolean`):

If the direct live request fails without a clear access challenge, retry once through the configured Apify datacenter proxy.

## `targetInput` (type: `object`):

Optional source-specific fields copied from this actor input schema. URL/query values are normalized by this actor.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.instagram.com/p/DRaAMuaiTZR/"
    }
  ],
  "endUrls": [],
  "query": "p DRaAMuaiTZR",
  "maxItems": 50,
  "maxRequestRetries": 1,
  "requestTimeoutSecs": 25,
  "maxPages": 3,
  "crawlDetails": true,
  "maxDetailPages": 5,
  "detailConcurrency": 4,
  "browserFallback": true,
  "proxyEnabled": true,
  "targetInput": {}
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `summary` (type: `string`):

No description

# 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": [
        {
            "url": "https://www.instagram.com/p/DRaAMuaiTZR/"
        }
    ],
    "endUrls": [],
    "query": "p DRaAMuaiTZR",
    "maxItems": 50,
    "maxRequestRetries": 1,
    "requestTimeoutSecs": 25,
    "maxPages": 3,
    "crawlDetails": true,
    "maxDetailPages": 5,
    "detailConcurrency": 4,
    "browserFallback": true,
    "proxyEnabled": true,
    "targetInput": {}
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapeai/instagram-comment-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 = {
    "startUrls": [{ "url": "https://www.instagram.com/p/DRaAMuaiTZR/" }],
    "endUrls": [],
    "query": "p DRaAMuaiTZR",
    "maxItems": 50,
    "maxRequestRetries": 1,
    "requestTimeoutSecs": 25,
    "maxPages": 3,
    "crawlDetails": True,
    "maxDetailPages": 5,
    "detailConcurrency": 4,
    "browserFallback": True,
    "proxyEnabled": True,
    "targetInput": {},
}

# Run the Actor and wait for it to finish
run = client.actor("scrapeai/instagram-comment-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 '{
  "startUrls": [
    {
      "url": "https://www.instagram.com/p/DRaAMuaiTZR/"
    }
  ],
  "endUrls": [],
  "query": "p DRaAMuaiTZR",
  "maxItems": 50,
  "maxRequestRetries": 1,
  "requestTimeoutSecs": 25,
  "maxPages": 3,
  "crawlDetails": true,
  "maxDetailPages": 5,
  "detailConcurrency": 4,
  "browserFallback": true,
  "proxyEnabled": true,
  "targetInput": {}
}' |
apify call scrapeai/instagram-comment-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapeai/instagram-comment-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/deQKHwHN1vvJydp8S/builds/2oe1S19M04HIakU5m/openapi.json