This guide walks beginners through understanding what an API is, why automation matters, manual testing tools, low‑code and code‑based automation with Python, pytest, and Allure, and how to embed tests into CI pipelines for reliable, repeatable quality checks.
The author, a software developer, outlines the limitations of Postman—English‑only UI, instability on poor networks, mandatory login—and evaluates Apipost as a localized, login‑free alternative that imports Postman collections, adds performance testing and documentation features, ultimately boosting workflow efficiency and security.
This guide shows non‑coding software test engineers how to conduct effective performance testing by selecting visual tools, following a clear three‑step process, interpreting business‑focused metrics, and avoiding code‑intensive scenarios, enabling them to deliver reliable results without writing code.
This guide shows how to extract API definitions from a Word table, structure them with a simple fill‑in template, and use an AI prompt to automatically generate a complete Postman Collection, enabling fast, repeatable API testing.
This article reviews essential tools and formats—such as Postman, Apidog, Swagger/OpenAPI, and API gateways like Amazon API Gateway and Kong—that help backend developers efficiently save, document, and manage HTTP API information throughout the development lifecycle.
Learn how to combine Symfony API Platform and Postman to automate CRUD generation, documentation, environment management, testing, authentication, monitoring, and CI/CD integration, creating a seamless, high‑performance API development workflow that accelerates productivity for both solo developers and teams.
This article recounts a midnight production outage caused by inadequate Postman tests, explains three hidden pitfalls of Postman, demonstrates how MockMvc provides precise, code‑level assertions and automated scenarios, and offers a step‑by‑step guide to boost API test automation from 30% to 90% coverage.
This article explains how AI‑driven agents, powered by large language models and the Model Control Protocol (MCP), can directly interact with internal and external APIs, eliminating the need for traditional front‑end code and reshaping application development toward capability orchestration.
This guide explains the difference between one‑way and two‑way SSL/TLS authentication, shows how to generate self‑signed and CA certificates with keytool, configures Spring Boot for mutual authentication, and demonstrates testing the setup using Postman, including detailed steps, code snippets, and troubleshooting tips.
This article explains why Swagger falls short for API debugging in production, outlines the recurring issues developers face, and shows how Apifox’s import, environment variables, global parameters, pre‑ and post‑scripts, mock data, and cURL import features streamline API development and testing.
This article explains how to perform HTTP load testing using Postman, Apache Bench, JMeter, and Java concurrency classes such as CountDownLatch and Semaphore, providing step‑by‑step setup, configuration, and code examples for simulating high‑traffic scenarios.
This article explains common HTTP status codes, demonstrates step‑by‑step API testing using Postman—including basic requests, exception handling, token management, test assertions, and collection runs—shows how to import Postman collections into Eolinker, compares the two tools, and adds practical tips and code examples.
This article provides a comprehensive overview of API testing fundamentals, tools, design strategies, defect management, special scenarios, and soft skills, offering practical guidance on how to plan, execute, and optimize tests for REST and SOAP services.
This article walks through the complete lifecycle of an HTTP API call initiated with Postman, covering DNS resolution, TCP/IP connection, Nginx reverse proxy and load balancing, Spring Boot request handling, service layer processing, JSON serialization, and the final response delivery back to Postman.
This article outlines a step‑by‑step API testing workflow—from defining objectives and analyzing requirements to designing test cases, setting up environments, executing tests with tools like Postman and pytest, analyzing results, integrating into CI/CD pipelines, and applying best practices for continuous improvement.
This article shares fourteen practical lessons learned from real‑world automation testing, covering when to automate, scope definition, tool selection, team coordination, ROI considerations, open‑source pitfalls, code reuse, and the balance between automated and manual testing.
This tutorial walks through creating a full‑stack project that uses json-server to expose a RESTful API, demonstrates CRUD operations via Postman, and shows how to interact with the API from a simple frontend using JavaScript fetch calls.
This step‑by‑step guide shows how to claim your free Kimi API credit, create an API key, test the service with Postman, and integrate it via Python SDK, frontend projects, or no‑code tools like Dify, enabling anyone to build AI applications without writing code.
This guide explains how to use Postman's pre‑request and test scripts to automate request signing, switch between multiple environments, and handle JWT‑based authentication, providing step‑by‑step instructions, execution order details, and practical code snippets.
This guide explores Postman's powerful yet often overlooked features—environment and collection variables, pre‑request scripts, and test scripts—showing how to automate API testing, manage multiple environments, and streamline token handling for more efficient backend development.
The article explains why visiting a website by its IP address often results in errors, showing that the HTTP Host header differs from domain‑based requests, and demonstrates this with Fiddler and Postman experiments using Baidu as an example.
This article introduces the concept and necessity of automated API testing, outlines typical usage scenarios, and provides a detailed comparison of four popular frameworks—Postman + Newman, JMeter + Ant, HttpRunner + Request, and pytest + Request—covering their features, advantages, drawbacks, requirements, and integration steps.
This article explains why the built‑in REST Client in IntelliJ IDEA can replace Postman by offering equivalent request features, environment handling, shared scripts, response assertions, and token management, all within a single development environment.
This guide explains how IntelliJ IDEA's built‑in REST Client provides all Postman features plus environment handling, shared request scripts, response assertions and token management, making it a more efficient tool for everyday API debugging and testing.
This comprehensive guide walks you through installing Postman, navigating its interface, sending your first request, and mastering essential and advanced features such as collections, batch execution, logging, assertions, variables, pre‑request scripts, request chaining, and extracting nested JSON values for effective API testing.
This comprehensive guide walks you through Postman's installation, interface navigation, basic request types, response parsing, collection management, batch execution, logging, assertions, variables, pre‑request scripts, request chaining, and common value extraction, providing practical steps and code examples for effective API testing.
The article explains how to keep external API contracts unchanged while replacing a data source by importing all microservice endpoints into Postman, writing pre‑request and test scripts, and optionally using a Python Flask service with deepdiff to automatically compare old and new JSON responses.
This article demonstrates how to use Postman for basic HTTP requests, ApacheBench and JMeter for load testing, and Java's CountDownLatch and Semaphore classes to simulate concurrent requests, providing step‑by‑step instructions, code examples, and configuration details for effective API performance testing.
This guide walks you through using Postman for basic API calls and concurrency testing, setting up ApacheBench on Windows, configuring and running JMeter for performance testing, and implementing custom load simulations in Java with CountDownLatch and Semaphore to understand thread coordination and bottlenecks.
This guide walks you through using Postman to automate API testing, covering result validation, batch execution, variable handling, environment management, and dependency resolution with practical JavaScript snippets and step‑by‑step instructions.
This tutorial shows how to replace Swagger with smart-doc, a zero‑annotation API documentation tool for SpringBoot that generates HTML docs and Postman collections, covering Maven plugin setup, configuration files, custom tags, error‑code mapping, request‑header definitions, and step‑by‑step usage examples.
Learn how to transform Postman's often‑overlooked features into a powerful automated API testing workflow, covering result validation, batch collections, data‑driven testing, scheduled monitors, variable handling, request dependencies, and custom scripting to boost efficiency and reliability for developers.
This guide walks through Postman's advanced features—including response assertions, sandbox scripting, UI testing, request methods, cookie handling, authentication, collection organization, variable management, command‑line execution with Newman, and exporting test scripts to Python and Java for data‑driven API testing—providing step‑by‑step examples and screenshots.
This article explains how IntelliJ IDEA REST Client can replace Postman for API debugging by offering integrated request consoles, history logs, environment variable support, scriptable assertions, and token handling, providing a unified tool for backend developers to test and share HTTP requests efficiently.
This tutorial explains HTTP fundamentals, shows how to install and configure the Jenkins Generic Webhook Trigger plugin, and demonstrates parsing GET, POST, and header parameters using curl, Postman, and Jenkinsfile Groovy scripts for automated CI/CD pipelines.
This guide walks through Postman's core features, covering GET, POST, PUT, and DELETE request testing, body options, custom headers, console usage, and the four variable types with their priority hierarchy, providing practical examples and official resource links.
This guide explains the five authorization methods supported by Postman—No Auth, Basic, Digest, Hawk, and OAuth 1.0—providing configuration details, example requests, and sample responses to help developers secure API calls effectively.
This guide explains how to use Postman's JavaScript sandbox for pre‑request and test scripts, create assertions, run collections in batch, apply data‑driven testing, control request order with workflows, execute tests via Newman, and integrate the process into Jenkins for continuous testing.
This comprehensive guide walks you through installing Postman, navigating its interface, sending your first request, and mastering basic, convenient, and advanced features such as collections, batch runs, logging, assertions, variables, pre‑request scripts, and request chaining for efficient API testing.
This article reveals powerful yet often overlooked Postman features—including environment variables, global and collection scopes, pre‑request scripts, test scripts, and token automation—demonstrating how to streamline API debugging across multiple environments, automate authentication, and manage variable lifecycles for more efficient development workflows.
This tutorial walks you through analyzing a JavaScript‑driven website, discovering the hidden API, configuring request headers with Postman, and writing a Python scraper that extracts book titles, authors, codes, and prices from epubit.com.
Learn how to use Postman for practical API testing by walking through three hands‑on examples—searching Baidu, interacting with WeChat’s public API, and triggering alerts on a specialized radio communication system—covering request setup, parameter handling, assertions, and common pitfalls.
This comprehensive guide walks you through Postman's core capabilities—including installation, interface navigation, sending requests, handling query parameters, forms, JSON and file uploads, response analysis, collection management, batch execution, logging, assertions, variables, pre‑request scripts, and request chaining—empowering developers and testers to automate and streamline API testing workflows.
This tutorial explains how to create a Postman collection, use environment variables for host URLs, share the collection via a public link, and import/export it between Postman and the Talend API Tester extension, ensuring seamless data exchange for API testing.
This article provides a detailed walkthrough of Postman, covering its core and advanced features, installation steps, interface navigation, how to send various types of requests, response analysis, collection management, batch execution, logging, assertions, variables, pre‑request scripts, request chaining, and techniques for extracting values from complex JSON responses.
This guide introduces Postman, a powerful HTTP API client, covering its key features, Windows installation methods, creating requests, setting environment variables, writing test scripts, automating test collections, monitoring APIs, and generating online documentation, with step‑by‑step screenshots.
This tutorial explains how to create a Spring Boot project that implements QQ email‑based user registration and login, covering POP3/SMTP setup, Maven dependencies, MySQL schema, core Java classes, configuration files, and step‑by‑step Postman testing procedures.
This guide shows how to import Swagger-generated API definitions into Postman, configure environment variables, handle authentication tokens, and use Postman for efficient API debugging, while noting the limitations of documentation display compared to Swagger.
This guide explains RESTful concepts, compares Casbin keyMatch functions, demonstrates Postman testing of CRUD endpoints, and shows how to integrate authentication middleware in ThinkPHP5.1, providing complete code snippets and configuration details for secure API development.
As more companies adopt DevOps for faster feedback, this article compares five widely used API testing tools—Rest‑Assured, Postman, SoapUI, JMeter, and Fiddler—highlighting their strengths, ideal team compositions, and integration capabilities to help you choose the most suitable solution.
Fiddler Everywhere is a cross‑platform web debugging proxy that merges Fiddler and Postman features, offering a modern UI for capturing, editing, and replaying HTTP(S) traffic, though its free version limits sharing and some functionalities are still maturing.
This guide explains how to obtain DingTalk access tokens, synchronize corporate departments and employee data to the DingTalk address book, and retrieve attendance records through DingTalk's open APIs, providing step‑by‑step instructions, request examples, and common pitfalls.
API testing, a core form of backend functional testing, is essential because modern services share a single set of interfaces across web, mobile and mini‑programs, and mastering it provides the foundation for automation and performance testing while boosting employability.
This article compares Postman with IntelliJ IDEA REST Client, explains why IDEA’s built‑in HTTP client is preferable, and provides step‑by‑step guidance on using its console, request history, environment configuration, scripting syntax, and response assertions for efficient API testing.
This article explains how to implement and run Groovy‑based test scripts that verify a multi‑project single sign‑on scenario where the same account can stay logged in on both web and pad without being kicked out, and password changes do not invalidate the other session.
The article compares five widely used API testing tools—Rest‑Assured, Postman, SoapUI, JMeter, and Fiddler—explaining their strengths, ideal team compositions, and integration capabilities to help teams select the most suitable solution for their DevOps and automation needs.
This tutorial walks you through installing Postman, creating and sending API requests to a Spring Boot login endpoint, using variables and environments for flexible testing, and generating code snippets in various languages, providing a practical foundation for everyday backend development tasks.
API debugging often consumes more time than coding, and while Postman is popular, the IDEA REST Client offers identical features plus environment configuration, shared request files, scriptable assertions, and seamless IDE integration, making it a powerful alternative for developers.
This article compares Postman with IntelliJ IDEA REST Client, explains why IDEA REST Client can replace Postman, and provides detailed instructions on using its console, request history, environment configuration, scripting syntax, response assertions, and token handling for efficient API testing.
This article explains how IDEA REST Client provides all the features of Postman while adding environment configuration, request history, scriptable assertions, and global variable support, making it a more integrated and efficient tool for Java backend API debugging and testing.
This guide walks you through installing Postman, customizing its theme and font size, performing GET and POST requests, handling file uploads, managing authentication tokens, and using environment variables to streamline API debugging for both backend and frontend development.
Discover the ten indispensable tools—from Chrome and Charles to cURL, Postman, and JSON editors—that streamline Python web scraping, help analyze target sites, bypass anti-scraping measures, and boost efficiency for both beginners and advanced developers.
This article explains how to dynamically encrypt API request parameters with an MD5 signature by creating a Java utility, integrating it into JMeter via a BeanShell PreProcessor, and alternatively configuring the same logic in Postman's Pre-request Script for testing and load‑testing purposes.
This tutorial explains how to dynamically encrypt API request parameters using MD5 signatures in JMeter with a BeanShell PreProcessor and also demonstrates the equivalent setup in Postman's pre‑request script, covering jar integration, variable handling, and practical testing tips.
This tutorial walks through designing a RESTful API, creating a school‑teacher‑student CRUD system, modeling the database schema, structuring the Flask project, and using tools like Postman and curl to test the Python backend, with code snippets and diagrams illustrating each step.
This guide walks you through installing the Postman Chrome extension—both via the official website and manual unpacked loading—then introduces its main interface, key buttons, and advanced features for API testing and HTTP requests.
This guide introduces Postman as a Chrome extension for API testing, covering installation, request composition, collections, environment and global variables, pre‑request and test scripts with code examples, and best practices for automating and validating HTTP responses.
