We started with a simple web scraping solution for real estate market that was up and running in just a couple of days. We used it to track prices of apartments in our area aggregated across multiple websites.
Then, as we saw value in this, we expanded data scraping to other cities and types of properties and released the product to external users. We had a few paying customers after a couple of months.
As we wanted to include more websites to collect data from, we run into significant problems of being blocked. In result, we started investigating how to overcome different mechanisms that websites use to prevent automated traffic from web scrapers.
It turns out that one of the the most important factors is to use good quality proxy which provides IP addresses shared with other real users and change them frequently. So, we started building our own proxy infrastructure powered by 4G proxies and implemented an API on top of it. And this is how we created Scraping Fish API for web scraping.
Now, we can offer a reliable solution for scraping even the most demanding websites like Instagram or Facebook.
Here is the full story of our product on IndieHackers: https://www.indiehackers.com/product/scraping-fish