Why I started DataCrawlPro
I started DataCrawlPro because I kept seeing the same problem again and again.
A company needs data from websites.
At first, it sounds simple:
“Just scrape this website and give us the data.”
But once the work starts, the real problems appear.
Pages block requests.
Data is messy.
Duplicate records come in.
Some websites change structure.
Login pages, captchas, rate limits, and broken scripts slow everything down.
Most businesses do not want to deal with all of that. They just want clean, usable data that helps them make decisions.
That is why I’m building DataCrawlPro.
The goal is simple: help businesses understand what can be scraped, what risks exist, and how to collect web data in a cleaner and more reliable way.
Right now, I’m starting with two services:
Website scraping risk audits
Custom web scraping and data extraction
I’m keeping it service-first for now, learning from real customer problems, and then slowly turning the repeated parts into automated tools.
Would love to hear from other indie hackers:
Do you use web data in your business?
And if yes, what is the most painful part collecting it, cleaning it, or keeping it updated?
What I'd be watching closely is which problem customers are actually paying to solve.
Collecting data, cleaning data, and trusting data often get grouped together, but they can be completely different buying decisions.
A lot of early validation comes from people who need data. The stronger signal usually comes from understanding which part of the process they believe is creating the most risk.
That's a great point.
I'm trying to watch that closely too. Right now, my assumption is that businesses don't only pay for "scraping" itself they pay for confidence that the data is clean, reliable, and useful enough to make decisions from.
The risk audit side is also helping me understand where companies feel the most exposed before building more automation around it.