instagram

InstagramAPI

The ultimate Instagram Data API scraping real-time data off Instagram using iOS & Web APIs

request.js

1const response = await fetch('https://api.getapis.io/instagram/instagramapi/about/{account}', {
2  method: 'GET',
3  headers: {
4    'apikey': '{your-api-key}'
5  },
6});
7 
8const data = await response.json();
9console.log(data);

All APIs

GET/about/{account}

About 👱🏻‍♂️

Fetch core account about section based on internal user ID ### Example Response ```json "success": true, "found": true, "about_info": { "country": "United States", "joined_at": "2017-01-15", "former_usernames": 2, "accounts_with_shared_followers": 15, "is_verified": true, "verified_at": "2021-05-20" } ```

Name	Type	Description	Required
`account`	unknown		Yes

Example Request

JavaScript

1const response = await fetch('https://api.getapis.io/instagram/instagramapi/about/{account}', {
2  method: 'GET',
3  headers: {
4    'apikey': '{your-api-key}'
5  },
6});
7 
8const data = await response.json();
9console.log(data);

Response

JSON

1{
2  "success": true,
3  "found": true,
4  "about_info": {
5    "country": "string",
6    "joined_at": "string",
7    "former_usernames": 0,
8    "accounts_with_shared_followers": 0,
9    "is_verified": true,
10    "verified_at": {}
11  }
12}

Comprehensive Guide to InstagramAPI

Learn how to integrate and get the most out of InstagramAPI. This guide covers authentication, endpoint usage, best practices, and advanced features to help you build production-ready applications.

Advanced Deep Learning

Utilizes state-of-the-art transformer architectures and neural networks for highly accurate predictions and data analysis across multiple domains.

Enterprise Scalability

Built to handle millions of requests per day with auto-scaling infrastructure, load balancing, and guaranteed 99.9% uptime SLA for mission-critical applications.

How It Works

A detailed breakdown of the request-response lifecycle.

The Input Parameters

Structure your request payload with the following JSON format.

request.json

1{
2  "model": "latest",
3  "input": {
4    "text": "Sample input data for analysis",
5    "type": "sentiment",
6    "language": "en"
7  },
8  "options": {
9    "format": "structured",
10    "confidence_threshold": 0.85,
11    "include_metadata": true,
12    "max_tokens": 1024
13  }
14}

Technical Logic & Processing

The API processes your input through a multi-stage pipeline: tokenization, feature extraction, model inference using optimized transformer architecture, and post-processing with confidence calibration. Results are cached for 60 seconds to optimize repeated queries.

The JSON Output Structure

The API returns a structured JSON response with predictions and metadata.

response.json

1{
2  "id": "analysis_abc123",
3  "status": "completed",
4  "model_version": "2.1.0",
5  "predictions": [
6    {
7      "label": "positive",
8      "confidence": 0.97,
9      "spans": [
10        { "start": 0, "end": 12, "text": "Sample input" }
11      ]
12    }
13  ],
14  "metadata": {
15    "processing_time_ms": 142,
16    "tokens_used": 128,
17    "model_id": "transformer-v2"
18  }
19}

Frequently Asked Questions

Everything you need to know about InstagramAPI.