Learn API Testing with Postman and Python Requests Module

Learn how to start with Postman for api testing: create a workspace and collection, add requests, configure api key authorization, and run collections to test rest endpoints.

Create and test your own dummy apis with json server, learn to extract data from json using json path, and validate responses in postman for real api practice.

Explore api response validations in Postman using chai assertions, covering status codes, headers, cookies, response time, response body, and JSON schema validations.

Explore global, environment, collection, and local variables in postman, including pre-request scripts, to store base urls and data and access values with double curly braces.

Learn how Postman scripts manage global, environment, collection, and local variables with pre-request and post-response scripts, and how to create, use, and delete them.

Master customizing collection run order and data driven testing in Postman, using collection and environment variables and CSV or JSON data for API tests.

Explore authentication and authorization concepts in postman, covering no auth, basic, digest, api key, bearer token, oauth 1.2/2.0, hawk, ntlm, aws signature, and jwt in practical api testing.

Automate end-to-end API testing of an online store using Postman and data-driven tests. Create workspaces, collections, and variables; validate responses with JSON schema and run via collection runner and Newman.

Learn to run Postman collections with the Postman CLI, compare it with Newman, generate HTML reports, and integrate tests into a Jenkins CI pipeline for API testing.

Learn how Postman provides built-in API documentation for collections, publish and share across teams, and compare Swagger's interactive docs and curl for testing APIs.

Learn to mock APIs with Postman's mock server using predefined responses and a dummy server, then test performance with virtual users and load profiles, measuring throughput and p90/p95/p99.

GraphQL with Postman teaches using a single GraphQL endpoint to fetch only required data via post requests, with queries, mutations, and subscriptions, contrasting with REST APIs.

Master GraphQL by executing queries, mutations, and subscriptions against a single endpoint using post, exploring documents, fields, arguments, and variables, and testing with Postman and GraphQL client for real-time updates.

Learn API testing with Python requests and pytest by translating Postman concepts into code, install Python and PyCharm, and implement get, post, put, patch, delete with assertions.

Learn to create and send request payloads in api testing with Python requests and Postman, using dictionaries, json module, and external json files, with pytest fixtures managing setup and teardown.

Learn how to create request bodies and pass parameters with Postman and Python requests, from dictionary to JSON conversion to path and query parameters.

Learn to parse complex JSON responses and extract nested data from APIs, then validate fields such as user details, recent orders, preferences, and metadata using Postman and Python.

Learn api chaining by executing sequential requests where the first response feeds the next, demonstrated with create, get, update, and delete on a postman go rest api.

Learn to use the requests library to run GraphQL queries and mutations via post requests, wrap queries as JSON, and validate responses with pytest using real-world examples.

Discover how to design a reusable API testing framework with Postman and Python requests, detailing configurations, data models, payloads, endpoints, reports, and a PyCharm setup for scalable testing.

Master data-driven API testing with pytest using external JSON test data and utilities for data provisioning, and generate HTML and Allure reports with markers for regression, smoke, and sanity.

Design and implement an online store API test framework by building routes, nested user data models, and payloads, then create and execute comprehensive tests with reporting.

Design and implement a cart module for api testing with endpoints, data models, and payloads; create and execute test cases for cart operations using configurations, utilities, and automated execution.

Master pytest part two by exploring skipping (conditional and unconditional), xfail, fixtures, and scopes; organize tests with markers, ordering, and dependencies, and group them by sanity, smoke, and regression.