Use cases
What teams build on Gristmill.
Four common jobs, the datasets behind them and the shape of the output. Examples are illustrative.
01 · E-commerce teams
Price & stock monitoring
Track competitor prices and stock across stores, hourly. Alert on drops, feed a repricing rule or a weekly report.
Datasets used
Price Watch
Storefront Products
sample row
Illustrative
sku
TR-2
price
119.00 → 104.00
in_stock
true
changed_at
09:00 UTC
02 · SEO and growth teams
Rank tracking & SERP research
Pull organic results for a keyword list by locale. See who moved, what snippet changed and which pages win.
Datasets used
Search Results
sample row
Illustrative
keyword
trail shoes
position
4 → 2
domain
shop.example.com
locale
en-GB
03 · Strategy and ops teams
Market & location research
Map businesses in an area, compare rents, follow hiring by role. Business details only, personal data stripped.
Datasets used
Local Business Listings
Rental Listings
Job Postings
sample row
Illustrative
area
Leeds LS1
listings
412
median_rent
£1,150
open_roles
86
04 · Product and comms teams
Reviews & news monitoring
Collect review text and press mentions, then tag themes. Reviewer names are dropped before delivery.
Datasets used
Product Reviews
News & Press Releases
sample row
Illustrative
rating
2 of 5
theme
sizing
mentions
14 this week
source
news.example.org
Getting started
From idea to scheduled rows in a day.
1
Pick or request
Start with a listed dataset, or send the site and fields you need.
2
Run a sample
Sandbox runs return up to 100 rows so you can check the schema.
3
Schedule & export
Set a schedule and a destination. Rows arrive while you sleep.