# Instagram Post Details Scraper (`scrapemesh/instagram-post-details-scraper`) Actor

📸 Instagram Post Details Scraper extracts post insights fast—captions, media, engagement & metadata. 🚀 Perfect for competitor research, social analytics & content strategy. 🔎 Save time, scale discovery, and get actionable data instantly.

- **URL**: https://apify.com/scrapemesh/instagram-post-details-scraper.md
- **Developed by:** [ScrapeMesh](https://apify.com/scrapemesh) (community)
- **Categories:** Automation, Lead generation, Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.99 / 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/platform/actors/running/actors-in-store#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 Details Scraper

Scrape Instagram **post / reel / tv** details from public URLs (bulk supported).

#### Key features

- **Bulk input**: `urls` + optional `keyword` (shortcodes)
- **Robust extraction**: uses embedded `data-sjs` payloads (same strategy as your provided code)
- **Owner enrichment**: uses `web_profile_info` API to fill owner follower/following/post counts when available
- **Smart proxy fallback (with clear logs)**:
  - Start with **NO proxy** (direct to Instagram)
  - If blocked/rejected → fallback to **DATACENTER**
  - If blocked/rejected again → fallback to **RESIDENTIAL**
  - If residential fails → retries 3 times with residential
  - Once residential is used → stays on residential for the rest of the run
- **Live saving**: each result is pushed to the dataset immediately
- **Final OUTPUT**: stored as a URL → postDetails JSON mapping (same shape as `output.json`)

#### Input example

```json
{
  "urls": [
    "https://www.instagram.com/p/Bq-mIJWgUAU/",
    "https://www.instagram.com/reel/CgzOZz5DWaQ/",
    "https://www.instagram.com/tv/CgzOZz5DWaQ/"
  ],
  "keyword": [
    "Bq-mIJWgUAU"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "maxConcurrency": 3,
  "requestDelaySeconds": 1,
  "maxRetries": 3
}
```

#### Output

- **Dataset**: one row per URL (includes `url` + extracted fields)
- **Key-Value Store**: `OUTPUT` is a JSON object:
  - keys: input URL
  - values: extracted post details (or `null` on failure)

#### Notes / Cautions

- This actor is intended for **publicly available** data only.
- Instagram may block requests; the actor automatically switches proxies according to the rules above.

# Actor input Schema

## `urls` (type: `array`):

📋 Paste Instagram post / reel / TV URLs here. One per line — bulk input supported. Example: https://www.instagram.com/p/ABC123/ or https://www.instagram.com/reel/XYZ456/

## `proxyConfiguration` (type: `object`):

Optional. Default: No proxy — requests go direct to Instagram. If blocked: fallback to Datacenter, then Residential. If residential fails, retry 3×. Once on residential, stick with it for all remaining requests. All proxy changes are logged.

## Actor input object example

```json
{
  "urls": [
    "https://www.instagram.com/p/Bq-mIJWgUAU/",
    "https://www.instagram.com/reel/CgzOZz5DWaQ/",
    "https://www.instagram.com/tv/CgzOZz5DWaQ"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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 = {
    "urls": [
        "https://www.instagram.com/p/Bq-mIJWgUAU/",
        "https://www.instagram.com/reel/CgzOZz5DWaQ/",
        "https://www.instagram.com/tv/CgzOZz5DWaQ"
    ],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapemesh/instagram-post-details-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 = {
    "urls": [
        "https://www.instagram.com/p/Bq-mIJWgUAU/",
        "https://www.instagram.com/reel/CgzOZz5DWaQ/",
        "https://www.instagram.com/tv/CgzOZz5DWaQ",
    ],
    "proxyConfiguration": { "useApifyProxy": False },
}

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

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

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

```

## CLI example

```bash
echo '{
  "urls": [
    "https://www.instagram.com/p/Bq-mIJWgUAU/",
    "https://www.instagram.com/reel/CgzOZz5DWaQ/",
    "https://www.instagram.com/tv/CgzOZz5DWaQ"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call scrapemesh/instagram-post-details-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapemesh/instagram-post-details-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/1g8xYGJ9dg2ftklui/builds/DE7DcqRhKmf14Vpvn/openapi.json