How I killed my fragile Instagram scraper and collapsed data collection into one API call

I'm building Mimestra — it finds viral short-form videos,

breaks down why they went viral, and turns that into a shoot-ready brief. This post is

about one infra decision that saved the project.

The cheap path that bit me

For Instagram data I went the obvious cheap route: a burner IG account + instagrapi,

self-hosted. Great in testing. Then, right as I onboarded first users, the account got

suspended. No data, broken product, worst timing.

If you've scraped IG yourself you know the tax: sessions, 2FA, proxies, rate limits —

you babysit infrastructure instead of building the product. And the ban isn't "if",

it's "when".

Collapsing it into one call

I moved the IG layer to HikerAPI (a managed Instagram REST API —

they run the account pool, proxies and sessions). My whole multi-step "collect" stage

turned into a single request:

python

import requests



r = requests.get(

    "https://api.hikerapi.com/v1/media/by/code",

    params={"code": "SHORTCODE"},

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

)

media = r.json()

# one response → author, metrics, pk, AND a direct video_url

print(media["video_url"], media["like_count"])