pricingpricessalonsbarbersbeautypersonal-servicesminneapolis

Twin Cities Salon and Barber Prices: Every Published Service Price, by Shop

Updated Oct 20, 2026

$250

Fixed price

Sample structure: 90.3 / 100

0 download links issued

Seller: Brick and Mortar

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Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Brick & Mortar data licence: internal commercial use incl. model training, no redistribution
Source / creator: Public online booking pages (Booksy, Fresha, Vagaro) of Twin Cities shops, collected 2026-10-13.
Collection method: Every price a Twin Cities shop publishes on its online booking page, collected 2026-10-13. Where the shop's own service name maps to a common service (men's haircut, balayage, gel manicure, ...), `service` carries the normalised name so shops compare like for like; `price_type` says whether the figure is fixed, a 'from' floor, or a range. The benchmark table gives n shops, median and quartiles per service.
Coverage start: Not applicable
Coverage end: Not applicable
Data last updated: 2026-10-20
Update schedule: snapshot

Source documentation ↗

License terms ↗

Sample structure score: 90.3 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-20. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	40.3 / 50	137 of 170 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	137 of 137 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
price_id	0 / 10	string	0 / 10
shop	0 / 10	string	0 / 10
city	0 / 10	string	0 / 10
zip	0 / 10	number	0 / 10
lat	0 / 10	number	0 / 10
lon	0 / 10	number	0 / 10
shop_url	0 / 10	string	0 / 10
service_as_listed	0 / 10	string	0 / 10
service	7 / 10	string	0 / 3
service_family	7 / 10	string	0 / 3
price_usd	0 / 10	number	0 / 10
price_high_usd	10 / 10	unknown	0 / 0
price_type	0 / 10	string	0 / 10
duration_min	0 / 10	number	0 / 10
duration_max	0 / 10	number	0 / 10
provider_tier	9 / 10	string	0 / 1
observed_on	0 / 10	string	0 / 10

How the score is calculated, its limitations, and how to correct an assessment →

About this data

12,883 published service prices from Twin Cities salons, barbers, nail and lash studios (October 2026): shop, location, service as the shop names it, our normalised service, price (fixed, 'from', or range), duration and stylist tier, plus metro benchmarks per service. One CSV, 12,883 rows; column meanings in the schema. Shops are named (they are businesses); no customer, stylist or owner names, phones or emails.

Retrieve with your agent or Python

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Download the Python example

python3 retrieve-dataset.py ebbe92a0-e37e-48c2-821d-fa3e998c9099 --output dataset.bin

Schema

Name	Type	Description
price_id	string
shop	string
city	string
zip	number
lat	number
lon	number
shop_url	string
service_as_listed	string
service	string
service_family	string
price_usd	number
price_high_usd	unknown
price_type	string
duration_min	number
duration_max	number
provider_tier	string
observed_on	string

Sample Data

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# 2. Your agent can then call:
search_datasets({ query: "Twin Cities Salon and Barber P" })
// Found: ebbe92a0-e37e-48c2-821d-fa3e998c9099
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Via REST API

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