Laundry Services

Name: Ghana Laundry Services
Creator: OpenStreetMap contributors
License: https://opendatacommons.org/licenses/odbl/

Laundries and dry cleaners across Ghana. Derived from OpenStreetMap. 78 records.

v1.0last updated Sep 18, 2026 · snapshotlisting updated Sep 18, 2026GH₵9.0078 recordsBusiness

Fields

Every column this dataset returns, with its type. This is the shape of the API response.

Field	Type
name	TEXT NOT NULL
trade	TEXT
self_service	BOOLEAN
opening_hours	TEXT
region	TEXT
district	TEXT
locality	TEXT
latitude	DECIMAL(9,6)
longitude	DECIMAL(9,6)
phone	TEXT
website	TEXT
osm_id	TEXT
source	TEXT

Preview

five records, free

First 5 rows of Laundry Services
nameTEXT NOT NULL	tradeTEXT	self serviceBOOLEAN	opening hoursTEXT	regionTEXT	districtTEXT	localityTEXT	latitudeDECIMAL(9,6)	longitudeDECIMAL(9,6)	phoneTEXT	websiteTEXT	osm idTEXT	sourceTEXT
A & A Quick Clean	Dry Cleaning	—	—	Greater Accra Region	Ayawaso West	—	5.607837	-0.178569	+233 244 812779; +233 244 283 738	—	node/1244722693	OpenStreetMap contributors (ODbL)
American Dry Cleaners	Laundry	—	—	Greater Accra Region	Ablekuma North Municipal	—	5.569821	-0.244493	—	—	node/3095463608	OpenStreetMap contributors (ODbL)
Wash Factory	Laundry	—	—	Greater Accra Region	Ayawaso East Municipal	—	5.584908	-0.191566	—	—	node/3837950399	OpenStreetMap contributors (ODbL)
Felix Laundry Works	Laundry	—	—	Central Region	Agona West Municipal	—	5.528525	-0.701339	—	—	node/4101947569	OpenStreetMap contributors (ODbL)
Britsh Laundry Services	Laundry	—	—	Greater Accra Region	Ayawaso West	—	5.629316	-0.168554	—	—	node/4272949608	OpenStreetMap contributors (ODbL)

nameTEXT NOT NULL	tradeTEXT	self serviceBOOLEAN	opening hoursTEXT	regionTEXT	districtTEXT	localityTEXT	latitudeDECIMAL(9,6)	longitudeDECIMAL(9,6)	phoneTEXT	websiteTEXT	osm idTEXT	sourceTEXT
example-name-1	example-trade-1	true	example-opening_hours-1	example-region-1	example-district-1	example-locality-1	10	10	example-phone-1	example-website-1	10	example-source-1
example-name-2	example-trade-2	false	example-opening_hours-2	example-region-2	example-district-2	example-locality-2	20	20	example-phone-2	example-website-2	20	example-source-2
example-name-3	example-trade-3	true	example-opening_hours-3	example-region-3	example-district-3	example-locality-3	30	30	example-phone-3	example-website-3	30	example-source-3
example-name-4	example-trade-4	false	example-opening_hours-4	example-region-4	example-district-4	example-locality-4	40	40	example-phone-4	example-website-4	40	example-source-4
example-name-5	example-trade-5	true	example-opening_hours-5	example-region-5	example-district-5	example-locality-5	50	50	example-phone-5	example-website-5	50	example-source-5
example-name-6	example-trade-6	false	example-opening_hours-6	example-region-6	example-district-6	example-locality-6	60	60	example-phone-6	example-website-6	60	example-source-6
example-name-7	example-trade-7	true	example-opening_hours-7	example-region-7	example-district-7	example-locality-7	70	70	example-phone-7	example-website-7	70	example-source-7
example-name-8	example-trade-8	false	example-opening_hours-8	example-region-8	example-district-8	example-locality-8	80	80	example-phone-8	example-website-8	80	example-source-8

73 more rows — see the plans

See the plans

Endpoint

GET connect.apighana.com/api/data/laundry_services

Auth: X-API-Key header
Pagination: page · limit
Format: JSON
Version: 1.0
Last updated: Sep 18, 2026from the source
Covers: A snapshotas of Sep 18, 2026
Refreshed: monthly
Last checked: Oct 1, 2026had warnings
Source: OpenStreetMap contributors

How to cite

Cite this dataset and the organisation its records come from (OpenStreetMap contributors). Datasets are updated, so keep the date you accessed it in the citation. Last updated from the source on Sep 18, 2026.

API Ghana. (2026). Laundry services (Version 1.0) [Data set, compiled from OpenStreetMap contributors]. Retrieved October 1, 2026, from https://apighana.com/datasets/laundry-services

Code samples

cURL

curl "https://connect.apighana.com/api/data/laundry_services?page=1&limit=20" \
  -H "X-API-Key: $APIGHANA_KEY"

JavaScript

const response = await fetch(
  "https://connect.apighana.com/api/data/laundry_services?page=1&limit=20",
  { headers: { "X-API-Key": process.env.APIGHANA_KEY } },
);

const { data, meta } = await response.json();

Python

import os, requests

response = requests.get(
    "https://connect.apighana.com/api/data/laundry_services",
    headers={"X-API-Key": os.environ["APIGHANA_KEY"]},
    params={"page": 1, "limit": 20},
)

rows = response.json()["data"]

Field

Type

name

TEXT NOT NULL

trade

TEXT

self_service

BOOLEAN

opening_hours

TEXT

region

TEXT

district

TEXT

locality

TEXT

latitude

DECIMAL(9,6)

longitude

DECIMAL(9,6)

phone

TEXT

website

TEXT

osm_id

TEXT

source

TEXT

nameTEXT NOT NULL

tradeTEXT

self serviceBOOLEAN

opening hoursTEXT

regionTEXT

districtTEXT

localityTEXT

latitudeDECIMAL(9,6)

longitudeDECIMAL(9,6)

phoneTEXT

websiteTEXT

osm idTEXT

sourceTEXT

A & A Quick Clean

Dry Cleaning

—

Greater Accra Region

Ayawaso West

—

5.607837

-0.178569

+233 244 812779; +233 244 283 738

—

node/1244722693

OpenStreetMap contributors (ODbL)

American Dry Cleaners

Laundry

—

Greater Accra Region

Ablekuma North Municipal

—

5.569821

-0.244493

—

node/3095463608

OpenStreetMap contributors (ODbL)

Wash Factory

Laundry

—

Greater Accra Region

Ayawaso East Municipal

—

5.584908

-0.191566

—

node/3837950399

OpenStreetMap contributors (ODbL)

Felix Laundry Works

Laundry

—

Central Region

Agona West Municipal

—

5.528525

-0.701339

—

node/4101947569

OpenStreetMap contributors (ODbL)

Britsh Laundry Services

Laundry

—

Greater Accra Region

Ayawaso West

—

5.629316

-0.168554

—

node/4272949608

OpenStreetMap contributors (ODbL)

nameTEXT NOT NULL

tradeTEXT

self serviceBOOLEAN

opening hoursTEXT

regionTEXT

districtTEXT

localityTEXT

latitudeDECIMAL(9,6)

longitudeDECIMAL(9,6)

phoneTEXT

websiteTEXT

osm idTEXT

sourceTEXT

example-name-1

example-trade-1

true

example-opening_hours-1

example-region-1

example-district-1

example-locality-1

example-phone-1

example-website-1

example-source-1

example-name-2

example-trade-2

false

example-opening_hours-2

example-region-2

example-district-2

example-locality-2

example-phone-2

example-website-2

example-source-2

example-name-3

example-trade-3

true

example-opening_hours-3

example-region-3

example-district-3

example-locality-3

example-phone-3

example-website-3

example-source-3

example-name-4

example-trade-4

false

example-opening_hours-4

example-region-4

example-district-4

example-locality-4

example-phone-4

example-website-4

example-source-4

example-name-5

example-trade-5

true

example-opening_hours-5

example-region-5

example-district-5

example-locality-5

example-phone-5

example-website-5

example-source-5

example-name-6

example-trade-6

false

example-opening_hours-6

example-region-6

example-district-6

example-locality-6

example-phone-6

example-website-6

example-source-6

example-name-7

example-trade-7

true

example-opening_hours-7

example-region-7

example-district-7

example-locality-7

example-phone-7

example-website-7

example-source-7

example-name-8

example-trade-8

false

example-opening_hours-8

example-region-8

example-district-8

example-locality-8

example-phone-8

example-website-8

example-source-8

How to cite

API Ghana. (2026). Laundry services (Version 1.0) [Data set, compiled from OpenStreetMap contributors]. Retrieved October 1, 2026, from https://apighana.com/datasets/laundry-services

Code samples

cURL

curl "https://connect.apighana.com/api/data/laundry_services?page=1&limit=20" \
  -H "X-API-Key: $APIGHANA_KEY"

JavaScript

const response = await fetch(
  "https://connect.apighana.com/api/data/laundry_services?page=1&limit=20",
  { headers: { "X-API-Key": process.env.APIGHANA_KEY } },
);

const { data, meta } = await response.json();

Python

import os, requests

response = requests.get(
    "https://connect.apighana.com/api/data/laundry_services",
    headers={"X-API-Key": os.environ["APIGHANA_KEY"]},
    params={"page": 1, "limit": 20},
)

rows = response.json()["data"]