Mining + scraping · Charlotte, NC
Data mining and web scraping in Charlotte
Charlotte is a big, spread-out market, and a price that works in one neighborhood may miss in another. We collect public competitor prices and ratings, then place them next to your own sales so each location or service area gets its own read.
Scraping Charlotte competitors, district by district
Neighborhood districts around Uptown include SouthPark, NoDa, Plaza Midwood, Myers Park, Dilworth, University City and Ballantyne. A salon or gym owner with two spots, or one spot and a delivery area, wants to know what neighbors charge in each.
A small script reads the public listing pages of comparable businesses and records price, rating, review count and the date. We give you one row per competitor, per visit.
Mining what you already hold across several sites
Larger operations here often run a booking tool, a point-of-sale system and a messaging app, one per location. Each exports a file in its own layout. We stack those files, rename the columns to match and add a source tag to every row.
You end up with a table where Dilworth and Ballantyne sit in the same columns, which makes any later comparison easy.
Mining plus scraping for Charlotte's crowded categories
Where a category has dozens of listings, review counts matter as much as price. A business with a few hundred reviews sets the bar in a way a newcomer cannot ignore.
We put your own counts beside the public ones, so you can see the gap. The next stages, cleaning and analysis, turn that gap into a decision.
A salon in SouthPark and one in NoDa may share a brand and little else. Keeping both in one table, with the area as a column, shows which one drives the repeat bookings and which one lives on new faces. Add the public prices around each and the table begins to explain itself.
Reading mining results for Charlotte owners
A table of your own rows and public rows is only useful if you can read it. We label each column in plain words and note where each number came from, so a manager or a bookkeeper can open the sheet without us.
If the table raises a question we cannot answer without more math, we hand it to the analysis stage and keep the same rows. Nothing is retyped between stages.
Questions from Charlotte owners
Can you compare my two locations in different parts of the city?
Yes. We tag every row with its location and source, then collect public competitor data for each area. The result is one table you can filter.
How often can the public data be refreshed?
We can rerun the collection when you ask and stamp each row with its date. We agree the schedule on a call.
Do you need access to my point-of-sale system?
We work from exports you hand us. You decide which files, and nothing leaves your control. We explain each step in plain words as we go, and you keep the original files.
Sources for the facts on this page: Charlotte, North Carolina, Wikipedia
Pick the neighborhoods that matter to you
Book a free call on the contact page and name the areas you sell in. We will outline what to collect first.