# Instagram Post Monitoring & Comments API (`oneary/instagram-post-monitoring-comments-api`) Actor

Capture Instagram post and Reel details by URL or retrieve comments by media ID. Schedule recurring runs to monitor returned engagement signals, preserve timestamped snapshots, and export structured JSON for campaign tracking, brand monitoring, and analytics.

- **URL**: https://apify.com/oneary/instagram-post-monitoring-comments-api.md
- **Developed by:** [Luan M.](https://apify.com/oneary) (community)
- **Categories:** Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.50 / 1,000 successful results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Post Monitoring & Comments API

Instagram post monitor and comments scraper API for capturing timestamped post or Reel snapshots and structured comment pages. Schedule the Actor for campaign measurement, engagement tracking, brand monitoring, audience research, and automated reporting.

### What this Instagram post monitor does

- Retrieves post and Reel details from full Instagram URLs
- Retrieves recent or popular comments from media IDs
- Preserves target, timestamp, request ID, and latency with every row
- Supports schedules, webhooks, exports, and downstream automation
- Produces safe per-target error rows without charging failed results

### Example input

```json
{
  "operation": "post",
  "targets": ["https://www.instagram.com/p/DPwhVB-jo9k/"],
  "includeRaw": false,
  "failOnError": false,
  "maxConcurrency": 3
}
```

Use `operation: "comments"` with media IDs, plus optional `sort` and `cursor`, to collect comment pages.

### Output and API use

Results are written to the default dataset with `product`, `platform`, `operation`, `target`, `endpoint`, `success`, `requestId`, `fetchedAt`, `latencyMs`, `data`, and `error`.

```bash
curl -X POST "https://api.apify.com/v2/acts/oneary~instagram-post-monitoring-comments-api/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d @examples/input.json
```

### Reliability, billing, and privacy

- Each successful target costs `$0.0035`; failed targets are not charged.
- The Actor respects the maximum charge selected for each run.
- Concurrency is bounded between 1 and 10.
- Credentials stay in environment variables and never enter output.
- Failed targets remain machine-readable for safe retry workflows.

Use the Actor only for lawful, authorized monitoring and follow applicable platform terms, privacy rules, and retention requirements.

### Development

```bash
npm test
npm run lint
npm run typecheck
npm run validate:actor
npm run build
```

# Actor input Schema

## `operation` (type: `string`):

Use Post snapshot for URLs or Comments for media IDs.

## `targets` (type: `array`):

Add up to 100 full Instagram post/Reel URLs for snapshots, or media IDs for comments.

## `cursor` (type: `string`):

Pagination cursor returned by a previous Comments run.

## `sort` (type: `string`):

Choose recent or popular comments.

## `includeRaw` (type: `boolean`):

Include request, billing, and timing metadata together with the payload.

## `failOnError` (type: `boolean`):

When disabled, failures become error rows and remaining targets continue.

## `maxConcurrency` (type: `integer`):

Number of targets processed in parallel.

## Actor input object example

```json
{
  "operation": "post",
  "targets": [
    "https://www.instagram.com/p/DPwhVB-jo9k/"
  ],
  "cursor": "",
  "sort": "recent",
  "includeRaw": false,
  "failOnError": false,
  "maxConcurrency": 3
}
```

# Actor output Schema

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

Successful and failed target rows in the default dataset.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("oneary/instagram-post-monitoring-comments-api").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("oneary/instagram-post-monitoring-comments-api").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 '{}' |
apify call oneary/instagram-post-monitoring-comments-api --silent --output-dataset

```

## MCP server setup

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

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/640WdfCDqIY1QyuMA/builds/5uMcvp2mohO5LNlIY/openapi.json