addresses: Generate fake address data

API: fakerapi.it:faker-api
Endpoint: /addresses
Response format: application/json
Auth: none
Method: GET
Last Status: 200
Latency: 1618ms

Description

Returns fake address data including street, city, zipcode, country, country_code, and geographic coordinates. Use for testing location-based features.

From spec: Generate fake address data including streets, cities, zipcodes, countries, and coordinates.

Usage Tips

- Use _quantity parameter to control number of results - Coordinates are random floats, not real locations - Set _locale for country-specific address formats

Parameters (4)

_locale (string, query, optional, default: en_US)

Locale for generated data (e.g., en_US, fr_FR, de_DE). Default is en_US.

_quantity (integer, query, optional, default: 10)

Number of records to generate (1-1000). Default is 10.

Constraints: {'minimum': 1, 'maximum': 1000}

_seed (integer, query, optional)

Seed for reproducible results. Same seed produces same output.

country_code (string, query, optional)

ISO country code to force specific country (e.g., US, FR, DE)

Examples (1)

Get address - /addresses probe-gate

Demonstrates fetching 3 fake addresses records with common query parameters.

curl 'https://fakerapi.it/api/v1/addresses?_quantity=3'

import requests

resp = requests.get(
    "https://fakerapi.it/api/v1/addresses",
    params={
        '_quantity': '3',
    },
)
data = resp.json()

import zingu_apis

api = zingu_apis.api("fakerapi")
result = api.fetch("addresses", _quantity=3)

for item in result:
    print(item)

const resp = await fetch("https://fakerapi.it/api/v1/addresses?_quantity=3");
const data = await resp.json();

Truncate

Auto Table Raw

Probe History

Latency

Status Codes

Time	Status	Latency
2026-04-16 00:22:30.149368	200	1618ms
2026-04-15 00:50:17.478182	200	404ms
2026-04-14 02:12:26.827496	200	1163ms
2026-04-12 13:24:38.165658	200	10935ms
2026-04-10 01:07:51.418316	200	1091ms
2026-04-09 01:52:53.773786	200	991ms
2026-04-08 07:34:37.617589	200	1886ms
2026-04-07 00:28:19.184642	200	2960ms
2026-04-06 04:47:33.273972	200	374ms
2026-04-05 14:55:32.788945	200	3824ms