# # Building Instagram OSINT Projects with HikerAPI

> Source: <https://dev.to/naraya_developer_ac9df3b0/-building-instagram-osint-projects-with-hikerapi-3fpc>
> Published: 2026-05-23 07:22:54+00:00

I recently experimented with building an Instagram OSINT project on Linux using Python and HikerAPI. Originally I tried older scraping libraries and unofficial Instagram API wrappers, but many of them were unreliable because Instagram now aggressively blocks automation attempts.

After some testing, I found that using an external API service like HikerAPI was much more stable for learning and development purposes.

## Why I Switched

At first I used tools based on:

- instagram-private-api
- old scraping scripts
- login-based automation

The problem was:

- constant login checkpoints
- “bad_password” errors even with correct credentials
- temporary account locks
- broken endpoints

Modern Instagram protection systems make direct scraping much harder than before.

## My Setup

I used:

- Arch Linux
- Hyprland
- Python virtual environment
- HikerAPI

Creating the virtual environment:

```
python -m venv venv
source venv/bin/activate.fish
```

Installing dependencies:

```
pip install requests httpx
```

## Basic HikerAPI Example

Here’s a simple request example:

``` python
import requests

headers = {
    "x-access-key": "YOUR_KEY"
}

r = requests.get(
    "https://api.hikerapi.com/v2/user/by/username?username=instagram",
    headers=headers
)

print(r.json())
```

## What I Learned

A few things became obvious during testing:

- Old Instagram scraping methods are becoming unreliable.
- API-based approaches are much easier to maintain.
- Using a Python virtual environment on Linux avoids dependency issues.
- Sherlock and other username OSINT tools are still useful alongside APIs.

## Tradeoffs

HikerAPI is convenient, but it’s not fully free. You need credits for larger usage. For hobby projects and learning, that may still be easier than constantly fixing broken scrapers.

Meanwhile, tools like:

- Sherlock
- Maigret
- Google Dorking
- Wayback Machine

are still excellent for public OSINT workflows.

## Final Thoughts

This was a fun experiment for learning Python, Linux tooling, and OSINT workflows. If you’re building similar projects, I’d strongly recommend:

- using virtual environments
- avoiding your main Instagram account
- testing on dummy accounts
- learning public OSINT techniques first

HikerAPI definitely simplified the process compared to older scraping approaches.