# Instagram Likes Scraper (No Cookie) (`datadoping/instagram-likes-scraper`) Actor

This scraper will help you scrape likes without the need of cookie or your session id.

It is able to scrape around 1000 unique likers (max in the market).

It also shows total likes of a post whose like count is hidden.

- **URL**: https://apify.com/datadoping/instagram-likes-scraper.md
- **Developed by:** [Data Doping](https://apify.com/datadoping) (community)
- **Categories:** Social media, Lead generation, Automation
- **Stats:** 2,522 total users, 223 monthly users, 99.9% runs succeeded, 43 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $1.20 / 1,000 users

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 Likes Scraper (No Cookie)

Scrape **Instagram post likers** at lightning speed—**no cookies or session IDs required**.\
This scraper is designed for developers, marketers, and analysts who need reliable and **large-scale like data** without the hassle of authentication.

***

### ✨ Features

- 🔑 **No Cookie or Session ID Required** – Works entirely without logging in.
- ⚡ **Fast & Scalable** – Scrapes **up to 1000 unique likers** per post (max in the market) within seconds.
- 🔍 **Hidden Like Counts? No Problem** – Reveals the total like count even when Instagram hides it.
- 🏆 **Market-Leading Performance** – Competing scrapers struggle to fetch more than 100–200 likers and take **10× more time**.
- 📦 **Structured Output** – Clean, developer-friendly JSON data.

***

### 📜 Example Output

```json
{
  "full_name": "John Doe",
  "id": "1234567890",
  "is_new": true,
  "is_private": true,
  "is_verified": false,
  "latest_reel_media": "1758132991",
  "profile_pic_id": "3721071090899417477",
  "profile_pic_url": "https://example.jpg",
  "username": "john_doe",
  "liked_post": "https://www.instagram.com/p/abc/",
  "total_likes": 37533,
  "latest_reel_media_utc": "1970-01-01T00:00:00.000Z"
}
```

***

### ⚖️ Ethical Use Notice

We prioritize responsible and ethical scraping. This scraper does **not** extract private or sensitive user data—such as emails, gender, location, or content hidden behind logins or permissions. It only collects publicly visible information that users have chosen to share on their profiles. Always comply with Instagram’s [Terms of Service](https://help.instagram.com/) and local data privacy laws when using this tool.

# Actor input Schema

## `posts` (type: `array`):

List of Instagram post URLs, codes, or IDs to scrape likers from. Enter one per line.

## `max_count` (type: `integer`):

Maximum number of likers to scrape per post. Default=1000 (limited by backend).

## Actor input object example

```json
{
  "posts": [
    "https://www.instagram.com/p/DLm63qQpxvw/"
  ],
  "max_count": 1000
}
```

# 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 = {
    "posts": [
        "https://www.instagram.com/p/DLm63qQpxvw/"
    ],
    "max_count": 1000
};

// Run the Actor and wait for it to finish
const run = await client.actor("datadoping/instagram-likes-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 = {
    "posts": ["https://www.instagram.com/p/DLm63qQpxvw/"],
    "max_count": 1000,
}

# Run the Actor and wait for it to finish
run = client.actor("datadoping/instagram-likes-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 '{
  "posts": [
    "https://www.instagram.com/p/DLm63qQpxvw/"
  ],
  "max_count": 1000
}' |
apify call datadoping/instagram-likes-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datadoping/instagram-likes-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/WxPRaG9gfg5KZ4gY1/builds/XiQWHeDcpkRx5C96P/openapi.json