python script to run postman collection

Lydia 97 Published: 07/18/2024

python script to run postman collection

To run a Postman collection using Python, you can use the postman-collection-runner library. Here's an example script that demonstrates how to do this:

import postman_collection_runner

from postman_collection_runner import Runner

Load the Postman collection from a JSON file

collection_path = 'path/to/your/collection.json'


with open(collection_path, 'r') as f:


collection = json.load(f)

Create a Runner instance and set the environment variables

runner = Runner()


runner.environment_variables['BASE_URL'] = 'https://api.example.com'  # replace with your API base URL

Run the collection

runner.run_collection(collection)

Print the results to console

results = runner.get_results()


print("Results:")


for request, response in results:


print(f"Request: {request.method} {request.url}")


print(f"Status code: {response.status_code}")


print(f"Body: {response.text}")


print()

To use this script, you'll need to:

Install the postman-collection-runner library using pip: pip install postman-collection-runner Replace 'path/to/your/collection.json' with the actual path to your Postman collection JSON file. Set the BASE_URL environment variable to point to your API's base URL (e.g., https://api.example.com) Run the script using Python: python run_collection.py

When you run the script, it will execute each request in the collection and print the results to the console. This can be useful for automating API testing or generating reports.

Here are some additional notes:

The postman-collection-runner library requires Python 3.6 or later. The collection_path variable should point to a valid JSON file containing your Postman collection. You can customize the script by adding more environment variables, setting request headers and query parameters, or modifying the runner's behavior using various options available in the Runner class.

I hope this helps! Let me know if you have any further questions.

What is API in Python?

I'm glad you asked!

In Python, an API (Application Programming Interface) refers to a set of defined rules that enable different software systems to communicate with each other. In simpler terms, an API allows different programs or applications to talk to each other, exchanging data and information.

Think of it like a restaurant: when you order food, you don't need to know how the chef prepares the dish or what ingredients are used. You simply tell the waiter what you want (the "API" or interface), and they take care of the rest. Similarly, when different applications interact with each other using an API, they don't need to understand the underlying mechanics; they just send and receive data through the agreed-upon interface.

In Python, there are several types of APIs:

Web API: A web API is a type of API that allows programs to communicate with each other over the internet. It's like a website, where you can request specific information or perform actions by sending HTTP requests (e.g., GET, POST, PUT, DELETE). Python has excellent support for web APIs using libraries like Flask and Django. Library API: A library API provides access to pre-built functions, classes, or modules that can be used within your own program. Think of it as a collection of tools that you can use in your Python code. Libraries are often distributed with specific licenses (e.g., open-source) and can be imported into your projects. System API: A system API is an interface to the operating system, allowing programs to interact with the underlying hardware or system resources. In Python, you can access system APIs using modules like os, sys, and subprocess. Database API: A database API enables programs to interact with a database management system (e.g., MySQL, PostgreSQL). Python has excellent support for database interactions using libraries like SQLAlchemy and pandas.

To work with APIs in Python, you typically need:

API documentation: Understand the API's rules, data formats, and usage patterns by reading its documentation. API client library: Use a Python library that provides an interface to the API (e.g., requests for web APIs or mysqlclient for database APIs). API credentials: Obtain any necessary authentication tokens, keys, or access credentials to use the API. Error handling: Be prepared to handle errors and exceptions when working with APIs.

By leveraging these concepts and tools, you can write robust Python code that effectively communicates with other systems, services, or applications – opening up a world of possibilities for data integration, automation, and innovation!

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