When I started learning about APIs and automation, I wanted a practical project instead of only reading documentation. I decided to build a small learning project that collects public Instagram user information and helps me understand how API integration works.
At first, I experimented with Instagrapi. It was a good way to understand Instagram automation, but I quickly realized that maintaining everything myself required extra effort. For a beginner, spending time fixing issues instead of learning API integration wasn't ideal.
Later in my project, I tried HikerAPI. The main reason it fit my learning project was its simple integration. I was able to focus on writing code and understanding API responses instead of worrying about scraper management.
What I Built
The project was designed for learning purposes. It can retrieve public Instagram user information such as:
Username
Profile name
Biography
Follower and following counts
Profile picture
Verification status
Public account statistics
The goal wasn't to create a commercial product. Instead, it was to understand how REST APIs work, process JSON responses, and build a cleaner backend workflow.
What I Liked
A few things stood out during the project:
Fast API responses
Fresh and up-to-date public profile data
Easy integration with my Python scripts
Less setup compared to managing scraping libraries
Clear request/response structure that made debugging easier
Because of this, I spent more time learning programming concepts rather than troubleshooting infrastructure.
Trade-offs
No tool is perfect.
If you're building a large-scale production system, you'll still want to plan your API usage carefully and estimate your monthly request volume. Depending on your project size, API costs may become an important consideration.
Also, I think adding more beginner-friendly examples and tutorials would make the learning experience even better for new developers.
Final Thoughts
Overall, this project helped me understand API integration much better than following tutorials alone. Building something practical made it easier to learn authentication, handling responses, and organizing backend code.
If your goal is to learn Instagram data APIs or prototype a small automation project, my experience was positive because I could spend more time learning and less time maintaining scraping infrastructure.
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