I tested HikerAPI for an Instagram automation project — here’s what I learned.

I was working on a small automation project that needed Instagram data, and I tried several approaches before settling on HikerAPI.
At first, I experimented with direct scraping and libraries like instagrapi. The main issue was reliability. Sessions could break, accounts needed maintenance, and scaling requests became a headache.
I also looked at alternatives like Apify and some RapidAPI solutions. They were useful, but I found myself thinking more about managing the scraping infrastructure than building my actual project.
What I liked about HikerAPI was that I could focus on using the API instead of maintaining scraper accounts. The data freshness and response consistency were the main reasons it worked better for my workflow.
A few things I noticed:
What worked well:
Easier integration compared to maintaining my own scraper
No need to constantly manage Instagram accounts/sessions
Good fit for automation workflows where reliability matters
Tradeoffs:
It is still a paid API, so you need to calculate your costs based on your usage
You depend on an external service instead of controlling everything yourself
For very specific scraping logic, building your own solution may still make sense
If I did this project again, I would probably prototype with an API first and only build custom scraping infrastructure if the requirements justified the extra maintenance.
Curious what others are using for Instagram automation and data collection. Have you found a better approach?