Why I Stopped Self-Hosting My Instagram Scraper

For a long time, I assumed self-hosting was the "right" way to build anything that interacted with Instagram. If I controlled the infrastructure, I could customize everything, avoid vendor lock-in, and potentially save money.

That assumption lasted until my project became more than a weekend experiment.

When the scraper became the project

I originally built using instagrapi because it gave me direct access to Instagram without relying on a hosted service. It worked well enough in development, and getting the first features running was surprisingly straightforward.

The problems started once I wanted the system to run consistently.

Instead of focusing on building product features, I found myself spending more and more time dealing with infrastructure problems. Login sessions expired. Accounts required verification. Some requests suddenly stopped working after platform changes. Every time I thought everything was stable, something else needed attention.

The scraper slowly became a project of its own.

What kept breaking

None of these issues were impossible to solve individually, but together they created a steady maintenance burden.

Some of the recurring problems included:

Login sessions expiring unexpectedly.
Account challenges and verification requests.
Temporary rate limits.
Occasional account restrictions or bans.
Library updates following Instagram changes.
Monitoring multiple accounts and keeping them healthy.

My biggest frustration wasn't that things broke—it was that they broke unpredictably.

I'd fix one issue, only to discover another one a week later. The actual business logic for became the easy part. Keeping the data pipeline alive was the difficult part.

Looking for a different approach

Eventually I started asking myself whether I actually wanted to maintain Instagram scraping infrastructure.

The answer was no.

I wanted to build , not become an expert in session cookies, account recovery, and scraper maintenance.

That's when I decided to try HikerAPI, a hosted REST API for Instagram.

The migration wasn't really about adding features.

It was about removing operational work.

What changed after migrating

The biggest improvement wasn't performance or speed.

It was simplicity.

Instead of maintaining accounts and scraper infrastructure myself, my application could simply make HTTP requests and consume structured JSON responses.

A minimal example looks like this:

import requests

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

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

resp = requests.get(
    "https://api.hikerapi.com/v2/user/followers",
    params={"user_id": user["pk"]},
    headers=headers
)

print(resp.json())

That reduced a surprising amount of complexity in my backend.

The tradeoffs

Moving to a hosted API isn't a perfect solution.

The most obvious downside is cost. Running your own scraper can be cheaper if you're operating at very low volume and don't mind maintaining it yourself. A hosted service also means depending on another company, which reduces some of the control you have over your stack.

If you enjoy optimizing infrastructure or need highly customized behavior, self-hosting may still be the better option.

On the other hand, if your goal is shipping product features, paying for managed infrastructure can be a reasonable tradeoff.

For me, it came down to opportunity cost.

Every hour spent debugging logins or recovering accounts was an hour I wasn't improving .

Would I make the same decision again?

Yes.

If I were starting from scratch today, I would spend less time building scraping infrastructure and more time building the product itself.

That doesn't mean self-hosting is the wrong approach. It's an excellent way to learn how these systems work, and for some projects it's still the right choice.

But once maintenance became the largest consumer of my development time, I realized I had optimized for the wrong thing.

Today I'd rather invest my time in features users actually notice than in fixing behind the scenes.