| name | api-response-mocker |
| description | Generate realistic mock API responses with fake data. Use for testing, prototyping, or creating sample data for frontend development. |
API Response Mocker
Generate realistic mock API responses with fake data using Faker.
Features
- Schema-Based Generation: Define response structure
- Faker Integration: Realistic fake data
- Nested Objects: Complex nested structures
- Arrays: Generate lists of objects
- Relationships: Reference other mock data
- Multiple Formats: JSON, XML output
Quick Start
from api_mocker import APIMocker
mocker = APIMocker()
user = mocker.generate({
"id": "uuid",
"name": "name",
"email": "email",
"created_at": "datetime"
})
users = mocker.generate_list({
"id": "uuid",
"name": "name",
"email": "email"
}, count=10)
CLI Usage
python api_mocker.py --schema user_schema.json --output user.json
python api_mocker.py --schema product.json --count 50 --output products.json
python api_mocker.py --schema order.json --seed 42 --output order.json
python api_mocker.py --schema customer.json --preview
Schema Format
Define fields using Faker provider names:
{
"id": "uuid",
"first_name": "first_name",
"last_name": "last_name",
"email": "email",
"phone": "phone_number",
"company": "company",
"address": {
"street": "street_address",
"city": "city",
"state": "state",
"zip": "zipcode",
"country": "country"
},
"created_at": "date_time_this_year",
"is_active": "boolean"
}
Available Data Types
Personal
name, first_name, last_name
email, safe_email
phone_number
ssn
Address
address, street_address
city, state, state_abbr
zipcode, postcode
country, country_code
latitude, longitude
Internet
url, domain_name
ipv4, ipv6
user_name, password
uuid, uuid4
mac_address
Business
company, company_suffix
job, job_title
bs, catch_phrase
Financial
credit_card_number
iban, bban
currency_code
price (custom: returns float)
Date/Time
date, time
date_time, date_time_this_year
date_of_birth
iso8601
Text
text, sentence, paragraph
word, words
slug
Numeric
random_int, random_number
random_float (use {"type": "float", "min": 0, "max": 100})
boolean
Advanced Schemas
Arrays
{
"id": "uuid",
"name": "name",
"tags": {
"_array": true,
"_count": 3,
"_item": "word"
},
"orders": {
"_array": true,
"_count": 5,
"_item": {
"order_id": "uuid",
"amount": "random_int",
"date": "date"
}
}
}
Custom Values
{
"id": "uuid",
"status": {
"_choice": ["pending", "active", "completed"]
},
"priority": {
"_range": [1, 5]
},
"score": {
"_float": {"min": 0.0, "max": 100.0, "decimals": 2}
}
}
Nested Objects
{
"user": {
"id": "uuid",
"profile": {
"bio": "paragraph",
"avatar_url": "image_url",
"social": {
"twitter": "user_name",
"linkedin": "url"
}
}
}
}
API Reference
APIMocker Class
class APIMocker:
def __init__(self, locale: str = "en_US", seed: int = None)
def generate(self, schema: dict) -> dict
def generate_list(self, schema: dict, count: int = 10) -> list
def from_schema_file(self, filepath: str) -> dict
def save(self, data: any, filepath: str, format: str = "json")
def set_seed(self, seed: int)
def get_faker(self) -> Faker
Example Schemas
User Response
{
"id": "uuid",
"username": "user_name",
"email": "email",
"profile": {
"first_name": "first_name",
"last_name": "last_name",
"avatar": "image_url",
"bio": "sentence"
},
"created_at": "iso8601",
"last_login": "date_time_this_month"
}
E-commerce Product
{
"sku": "uuid",
"name": "catch_phrase",
"description": "paragraph",
"price": {"_float": {"min": 9.99, "max": 999.99}},
"currency": "currency_code",
"category": {"_choice": ["Electronics", "Clothing", "Home", "Sports"]},
"in_stock": "boolean",
"rating": {"_float": {
API Error Response
{
"error": {
"code": {"_choice": ["NOT_FOUND", "UNAUTHORIZED", "BAD_REQUEST"]},
"message": "sentence",
"request_id": "uuid",
"timestamp": "iso8601"
}
}
Dependencies