texts: Generate fake text content

API: fakerapi.it:faker-api
Endpoint: /texts
Response format: application/json
Auth: none
Method: GET
Last Status: 200
Latency: 24352ms

Description

Returns fake text content including title, author, genre, and content paragraphs. Use for testing content management systems.

From spec: Generate fake text content including titles, authors, genres, and content.

Usage Tips

- Content uses Alice in Wonderland text by default - Use _quantity for multiple articles - Genre values are random Latin words

Parameters (3)

_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.

Examples (1)

Get text content - /texts probe-gate

Demonstrates fetching 2 fake texts records with common query parameters.

curl 'https://fakerapi.it/api/v1/texts?_quantity=2'
import requests

resp = requests.get(
    "https://fakerapi.it/api/v1/texts",
    params={
        '_quantity': '2',
    },
)
data = resp.json()
import zingu_apis

api = zingu_apis.api("fakerapi")
result = api.fetch("texts", _quantity=2)

for item in result:
    print(item)
const resp = await fetch("https://fakerapi.it/api/v1/texts?_quantity=2");
const data = await resp.json();

Probe History

Latency

Status Codes

TimeStatusLatencySize
2026-04-16 17:19:54.346894 200 24352ms
2026-04-16 00:06:18.958110 200 807ms
2026-04-15 00:33:00.721737 200 795ms
2026-04-14 00:26:33.377439 200 435ms
2026-04-12 16:09:55.655446 200 31841ms
2026-04-10 00:41:09.069270 200 332ms
2026-04-09 02:19:15.063929 200 637ms
2026-04-08 07:43:46.128103 200 482ms
2026-04-07 01:50:46.050423 200 10188ms
2026-04-05 19:34:29.624652 200 1307ms