data engineering · stage 01 of 04
Data mining and web scraping, your data in one table
Your leads and orders sit in separate apps. We gather them into one table, with a note on where each row came from. When a question needs outside data, we add public facts like competitor prices and review counts.
What you get
One table of your leads
Each lead and order in one place, from your booking sheet, inbox, forms and sales app.
A source on every row
Each row notes where it came from, so you can see which channel brought it in.
Public data to compare
Competitor prices, ratings and review counts, from public pages and within each site’s terms.
How it works
List your sources
We list each place your business keeps records, from spreadsheets to inboxes.
Pull what you own
We export the records from each app you already use.
Combine into one table
We line up the columns and tag each row with its source.
Add public data
If your question needs it, a small script collects public facts like prices and review counts.
A worked example
Sample records from a fictional bakery, the same one that runs through the overview.
-
Data mining: find what you already have
A sample bakery keeps its leads in three places: a booking sheet, a message inbox and a website form. Mining means gathering the data you already own into one table.
you get each lead in one place, with a note on where it came from
3 of 17 sample rows, from three sources name from order Ana Ruiz sheet $64 Gabe Moss inbox 18 Marcus Bell form 120.00 -
Web scraping: add what's public
Scraping is one way to mine. A small script collects public information, like competitor prices and review counts, so you can compare yourself to the shops down the street.
our rule public pages only, within each site's terms
Sample public data for four bakeries shop cake rating reviews Corner Crumb $36 4.6 212 Sugar & Rye $42 4.8 98 Oven Door $30 4.1 341 You $34 4.7 57
Questions owners ask
Have another one? Ask it on a call.
What counts as data I already own?
The records your business keeps, like sales, bookings, form entries, messages and spreadsheets.
What public data do you collect?
Public information like competitor prices and review counts. Our rule: public pages only, within each site’s terms.
Do I have to switch apps?
No. Mining starts from the apps you already use.
What happens after mining?
Cleaning. We merge duplicates and fix spellings so the counts come out right.
The other stages
Each stage feeds the next: mining, cleaning, analysis, then visualization.
- Data engineering overviewAll four stages on one page, with the sample bakery.→
- 02 · CleaningDuplicates merged and spellings fixed, so the counts come out right.→
- 03 · AnalysisYour question, answered with your numbers and the math shown.→
- 04 · VisualizationCharts you can read at a glance, each traced back to its records.→
Tell us what's piling up
Describe the mess in a few sentences. We'll reply with where we'd start.