Roadmap to learn API Testing in Just 30 days

Last Updated on: March 10, 2023 by Avinash

5/5 - (3 votes)

Here is a suggested roadmap for learning API testing in 30 days:

Day 1:

Understand the basics of APIs and why they are important for modern web development

Table of Contents

An API (Application Programming Interface) is a set of rules and protocols that defines how two software systems can communicate with each other. APIs allow different software systems to share data and functionality, which makes it possible to build more complex and powerful applications by combining the capabilities of multiple systems.

APIs are important for modern web development because they enable the creation of decoupled systems, where the front-end and back-end of a web application can be developed and maintained independently. This allows developers to focus on their specific areas of expertise and makes it easier to scale and update applications over time.

APIs are also important because they enable interoperability between different systems and platforms. For example, an API can allow a mobile app to access data from a web service, or allow a website to access data from a third-party service like a payment processor or social media platform. This allows developers to build applications that leverage the capabilities of multiple systems, rather than having to build everything from scratch.

Overall, APIs are a crucial part of modern web development because they enable the creation of more powerful and flexible applications by allowing different systems to communicate and work together.

Name of Article	Roadmap to learn API Testing in Just 30 days
Roadmap to learn API Testing in Just 30 days	Check Here
Category	Automation Testing
Official Site	Click Here

Learn about the different types of APIs (e.g., REST, SOAP)

There are several types of APIs, but two of the most commonly used types are REST (Representational State Transfer) and SOAP (Simple Object Access Protocol).

REST APIs are based on the architectural style of the same name, which defines a set of constraints and best practices for building web-based APIs. REST APIs are designed to be lightweight, flexible, and scalable, and they use HTTP as their underlying communication protocol. REST APIs use standard HTTP methods (e.g., GET, POST, PUT, DELETE) to perform actions on resources, and they often use JSON as their data format.

SOAP APIs, on the other hand, are based on the XML data format and use the HTTP or SMTP (Simple Mail Transfer Protocol) protocol for communication. SOAP APIs often have more strict and rigid requirements for their implementation and use, and they are typically used in enterprise environments for more formal and structured communication between systems.

Both REST and SOAP APIs have their own strengths and use cases, and which one is best suited for a particular application depends on the specific requirements and needs of that application. REST APIs are generally more flexible and easier to use, while SOAP APIs are more rigid but may offer more security and reliability.

Familiarize yourself with the common HTTP methods used in API testing (e.g., GET, POST, PUT, DELETE)

In API testing, it is important to familiarize yourself with the common HTTP methods that are used to perform different actions on an API. The four most common HTTP methods used in API testing are:

GET: The GET method is used to retrieve a resource from an API. It is the most commonly used HTTP method and is used to retrieve data from an API endpoint.
POST: The POST method is used to create a new resource on an API. It is often used to submit data to an API endpoint, such as when creating a new user or posting a new message.
PUT: The PUT method is used to update an existing resource on an API. It is used to replace the current value of a resource with a new value.
DELETE: The DELETE method is used to delete a resource from an API. It is used to remove a resource from the API endpoint.

It is important to understand the semantics of these HTTP methods and how they are used to perform different actions on an API. For example, you would use the GET method to retrieve a list of users from an API endpoint, but you would use the POST method to create a new user on that endpoint. Understanding these HTTP methods will be crucial for testing APIs and verifying that they are functioning correctly.

Also, check Permanent WFH Software Testing Jobs

Day 2-3:

Install a tool for testing APIs, such as Postman or cURL

Here are the steps for installing Postman and cURL, two popular tools for testing APIs:

To install Postman:

Go to the Postman website (https://www.postman.com/).
Click the “Download” button to download the latest version of Postman for your operating system.
Once the download is complete, run the installer and follow the prompts to install Postman on your system.
After the installation is complete, launch Postman from the start menu or by double-clicking the Postman icon on your desktop.
If this is the first time you are launching Postman, you will be asked to sign in or create a new account. You can skip this step by clicking “Skip sign in” in the bottom left corner.

To install cURL:

Go to the cURL website (https://curl.haxx.se/).
Click the “Download” button to download the latest version of cURL for your operating system.
Follow the instructions on the website to install cURL on your system. This may involve downloading an installer or building and installing cURL from source code.
Once cURL is installed, you can use it from the command line by typing “curl” followed by the desired command and options.

Keep in mind that the specific steps for installing these tools may vary depending on your operating system and other factors. Always refer to the documentation for the tool you are installing for detailed installation instructions.

Learn how to send basic API requests using the tool of your choice

To send a basic API request using Postman, follow these steps:

Launch Postman.
In the “Enter request URL” field, enter the URL of the API endpoint you want to send the request to.
In the “Select HTTP method” dropdown, choose the HTTP method you want to use for the request (e.g., GET, POST, PUT, DELETE).
If you need to include any headers or query parameters in the request, you can add them by clicking the “Headers” or “Params” buttons and entering the key-value pairs.
If the request requires a request body (e.g., for a POST or PUT request), you can enter the request body in the “Body” tab.
When you are ready to send the request, click the “Send” button.

To send a basic API request using cURL, follow these steps:

Open a terminal or command prompt.
Type “curl” followed by the options and arguments for your request. For example, to send a GET request to an API endpoint, you might use a command like this:

curl -X GET https://api.example.com/endpoint

1	curl -X GET https://api.example.com/endpoint

3. If you need to include any headers or query parameters in the request, you can use the “-H” and “-d” options, respectively. For example:

curl -X GET -H "Content-Type: application/json" -d "param1=value1&param2=value2" https://api.example.com/endpoint

1	curl -X GET -H "Content-Type: application/json" -d "param1=value1&param2=value2" https://api.example.com/endpoint

Press Enter to send the request. The response from the API will be displayed in the terminal.

Keep in mind that these are just basic examples, and the specific options and arguments you use will depend on the API and the request you are trying to send. Always refer to the documentation for the tool you are using and the API you are working with for more detailed information.

Also, check Software Testing Interview Questions and Answers

Experiment with the different HTTP methods and understand how they are used to perform different actions on an API

HTTP methods, also known as HTTP verbs, are used to indicate the desired action to be performed on a resource in an HTTP request. There are several HTTP methods that can be used in an HTTP request, including:

GET: This method retrieves a resource from the server. It is a safe and idempotent method, meaning that it does not modify the resource or have any side effects on the server.
HEAD: This method is similar to GET, but it only retrieves the headers of a resource, not the resource itself. It is useful for checking the status of a resource or checking if a resource has changed.
POST: This method is used to send data to the server to create a new resource. It is not safe or idempotent, as it can have side effects on the server and the resource can be modified.
PUT: This method is used to replace an existing resource on the server with a new resource. It is idempotent, meaning that multiple identical PUT requests should have the same effect as a single request.
DELETE: This method is used to delete a resource from the server. It is not safe or idempotent, as it can have side effects on the server and deleting a resource cannot be undone.
CONNECT: This method establishes a connection to a resource, usually for the purpose of tunneling a TCP connection.
OPTIONS: This method retrieves the HTTP methods that the server supports for a particular resource.
TRACE: This method echoes the request back to the client, allowing the client to see what (if any) changes or additions have been made by intermediate servers.
PATCH: This method is used to apply partial modifications to a resource. It is not safe or idempotent, as it can have side effects on the server and the resource can be modified.

APIs often use these HTTP methods to perform different actions on resources. For example, an API may use a GET request to retrieve a list of resources, a POST request to create a new resource, and a DELETE request to delete a resource.

Day 4-7:

Learn about the different parts of an API request and response (e.g., headers, body, status code)

An API request is made by a client to a server to access or modify data on a server. An API response is the server’s response to the client’s request.

Here are some of the key parts of an API request and response:

Request

URL: The URL specifies the location of the API endpoint and the resource being accessed or modified.
Method: The method specifies the HTTP method being used in the request (e.g., GET, POST, DELETE).
Headers: Headers contain additional information about the request, such as the type of content being sent, the authorization credentials, and other metadata.
Body: The body of the request contains the data being sent to the server. This is usually in the form of a JSON object or XML document.

Response

Status code: The status code is a 3-digit integer that indicates the status of the response. Common status codes include 200 (OK), 404 (Not Found), and 500 (Internal Server Error).
Headers: Headers contain additional information about the response, such as the type of content being returned, the expiration date, and other metadata.
Body: The body of the response contains the data being returned to the client. This is usually in the form of a JSON object or XML document.

By understanding the different parts of an API request and response, you can more effectively interact with an API and understand the responses you receive.

Understand how to interpret and work with JSON data

JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for humans to read and write and easy for machines to parse and generate. It is based on a subset of the JavaScript programming language and is used to transmit data between a server and a client, or between two systems.

JSON data is represented as a collection of name/value pairs, similar to a dictionary in Python or an object in JavaScript. The name is a string, and the value can be a string, a number, an object, an array, a boolean, or null.

Here is an example of a JSON object:

{
  "name": "John Smith",
  "age": 30,
  "city": "New York",
  "skills": ["JavaScript", "Python", "HTML"]
}

1

2

3

4

5

6

{

"name": "John Smith",

"age": 30,

"city": "New York",

"skills": ["JavaScript", "Python", "HTML"]

}

To work with JSON data, you can use a JSON library or module in your programming language of choice. In Python, you can use the json module to parse and serialize JSON data.

To parse JSON data in Python, you can use the json.loads() function, which takes a JSON string as input and returns a Python object.

For example:

import json

json_data = '{"name": "John Smith", "age": 30, "city": "New York"}'
data = json.loads(json_data)

print(data['name'])  # Output: "John Smith"
print(data['age'])   # Output: 30
print(data['city'])  # Output: "New York"

1

2

3

4

5

6

7

8

import json

json_data = '{"name": "John Smith", "age": 30, "city": "New York"}'

data = json.loads(json_data)

print(data['name']) # Output: "John Smith"

print(data['age']) # Output: 30

print(data['city']) # Output: "New York"

To serialize a Python object as JSON, you can use the json.dumps() function, which takes a Python object as input and returns a JSON string.

For example:

import json

data = {
  "name": "John Smith",
  "age": 30,
  "city": "New York"
}

json_data = json.dumps(data)
print(json_data)  # Output: '{"name": "John Smith", "age": 30, "city": "New York"}'

1

2

3

4

5

6

7

8

9

10

import json

data = {

"name": "John Smith",

"age": 30,

"city": "New York"

}

json_data = json.dumps(data)

print(json_data) # Output: '{"name": "John Smith", "age": 30, "city": "New York"}'

By understanding how to work with JSON data, you can more easily parse and generate data for use in APIs and other applications.

Practice working with API endpoints that return different types of data (e.g., lists, objects, arrays)

Here is an example of working with an API endpoint that returns a list of objects in Python using the requests library:

import requests

# Make a GET request to the API endpoint
response = requests.get("https://api.example.com/endpoint")

# Check the status code of the response
if response.status_code == 200:
  # If the request is successful, parse the JSON data
  data = response.json()

  # Iterate through the list of objects
  for item in data:
    # Print the value of a particular field in each object
    print(item['field'])
else:
  # If the request is not successful, print an error message
  print("An error occurred:", response.text)

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

import requests

# Make a GET request to the API endpoint

response = requests.get("https://api.example.com/endpoint")

# Check the status code of the response

if response.status_code == 200:

# If the request is successful, parse the JSON data

data = response.json()

# Iterate through the list of objects

for item in data:

# Print the value of a particular field in each object

print(item['field'])

else:

# If the request is not successful, print an error message

print("An error occurred:", response.text)

If the API endpoint returns a single object, you can access the fields of the object directly, like this:

import requests

# Make a GET request to the API endpoint
response = requests.get("https://api.example.com/endpoint")

# Check the status code of the response
if response.status_code == 200:
  # If the request is successful, parse the JSON data
  data = response.json()

  # Access the fields of the object
  print(data['field1'])
  print(data['field2'])
else:
  # If the request is not successful, print an error message
  print("An error occurred:", response.text)

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

import requests

# Make a GET request to the API endpoint

response = requests.get("https://api.example.com/endpoint")

# Check the status code of the response

if response.status_code == 200:

# If the request is successful, parse the JSON data

data = response.json()

# Access the fields of the object

print(data['field1'])

print(data['field2'])

else:

# If the request is not successful, print an error message

print("An error occurred:", response.text)

If the API endpoint returns an array of values, you can access the values in the array like this:

import requests

# Make a GET request to the API endpoint
response = requests.get("https://api.example.com/endpoint")

# Check the status code of the response
if response.status_code == 200:
  # If the request is successful, parse the JSON data
  data = response.json()

  # Iterate through the array of values
  for value in data:
    print(value)
else:
  # If the request is not successful, print an error message
  print("An error occurred:", response.text)

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

import requests

# Make a GET request to the API endpoint

response = requests.get("https://api.example.com/endpoint")

# Check the status code of the response

if response.status_code == 200:

# If the request is successful, parse the JSON data

data = response.json()

# Iterate through the array of values

for value in data:

print(value)

else:

# If the request is not successful, print an error message

print("An error occurred:", response.text)

By practicing working with different types of data returned from API endpoints, you can become more proficient at using APIs in your projects.

Also, check Most Important Automation Testing Topics

Day 8-14:

Learn about API authentication and authorization methods (e.g., OAuth, JWT)

API authentication is the process of verifying the identity of a client making a request to an API. API authorization is the process of granting or denying access to specific resources or actions based on the authenticated client’s permissions.

There are several methods for authenticating and authorizing clients in APIs, including:

API keys: API keys are unique strings that are issued to developers when they register for an API. They are included in the request header or query string, and the server verifies the key to authenticate the client. API keys are simple to implement, but they offer little security, as they can be easily shared or stolen.
OAuth: OAuth (Open Authorization) is an open standard for authorization that enables clients to access resources from a server on behalf of a resource owner. It works by allowing the client to obtain an access token, which is a string that represents the client’s authorization to access the server’s resources. OAuth is more secure than API keys, as it uses tokens and requires the client to authenticate itself with the server.
JWT: JWT (JSON Web Token) is a JSON-based open standard for creating access tokens that are used to authenticate and authorize clients. JWTs are self-contained and can be verified by the server, making them more secure than API keys.

When choosing an authentication and authorization method for your API, it is important to consider the security and complexity of the method, as well as the needs of your API and its clients.

Understand how to pass authentication credentials in an API request

There are several ways to pass authentication credentials in an API request, depending on the authentication method being used. Here are some examples:

API keys: API keys are usually passed in the request header or query string. For example:

GET /resource?api_key=abc123 HTTP/1.1
Host: api.example.com

1 2	GET /resource?api_key=abc123 HTTP/1.1 Host: api.example.com

GET /resource HTTP/1.1
Host: api.example.com
X-API-Key: abc123

1

2

3

GET /resource HTTP/1.1

Host: api.example.com

X-API-Key: abc123

OAuth: OAuth uses access tokens to authenticate clients. The access token is passed in the request header, like this:

GET /resource HTTP/1.1
Host: api.example.com
Authorization: Bearer abc123

1

2

3

GET /resource HTTP/1.1

Host: api.example.com

Authorization: Bearer abc123

JWT: JWTs are also passed in the request header, like this:

GET /resource HTTP/1.1
Host: api.example.com
Authorization: Bearer abc123.def456.ghi789

1

2

3

GET /resource HTTP/1.1

Host: api.example.com

Authorization: Bearer abc123.def456.ghi789

It is important to ensure that the authentication credentials are securely transmitted in the request, either through the use of HTTPS or other secure methods.

By understanding how to pass authentication credentials in an API request, you can more effectively authenticate and authorize clients in your API.

Practice working with APIs that require authentication

Here is an example of working with an API that requires authentication in Python using the requests library:

import requests

# Set the API endpoint URL and the API key
url = "https://api.example.com/endpoint"
api_key = "abc123"

# Set the headers for the request
headers = {
  "X-API-Key": api_key
}

# Make a GET request to the API endpoint
response = requests.get(url, headers=headers)

# Check the status code of the response
if response.status_code == 200:
  # If the request is successful, parse the JSON data
  data = response.json()
  # Access the data as needed
else:
  # If the request is not successful, print an error message
  print("An error occurred:", response.text)

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

import requests

# Set the API endpoint URL and the API key

url = "https://api.example.com/endpoint"

api_key = "abc123"

# Set the headers for the request

headers = {

"X-API-Key": api_key

}

# Make a GET request to the API endpoint

response = requests.get(url, headers=headers)

# Check the status code of the response

if response.status_code == 200:

# If the request is successful, parse the JSON data

data = response.json()

# Access the data as needed

else:

# If the request is not successful, print an error message

print("An error occurred:", response.text)

If the API requires OAuth or JWT authentication, you can pass the access token in the authorization header like this:

import requests

# Set the API endpoint URL and the access token
url = "https://api.example.com/endpoint"
access_token = "abc123"

# Set the headers for the request
headers = {
  "Authorization": f"Bearer {access_token}"
}

# Make a GET request to the API endpoint
response = requests.get(url, headers=headers)

# Check the status code of the response
if response.status_code == 200:
  # If the request is successful, parse the JSON data
  data = response.json()
  # Access the data as needed
else:
  # If the request is not successful, print an error message
  print("An error occurred:", response.text)

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

import requests

# Set the API endpoint URL and the access token

url = "https://api.example.com/endpoint"

access_token = "abc123"

# Set the headers for the request

headers = {

"Authorization": f"Bearer {access_token}"

}

# Make a GET request to the API endpoint

response = requests.get(url, headers=headers)

# Check the status code of the response

if response.status_code == 200:

# If the request is successful, parse the JSON data

data = response.json()

# Access the data as needed

else:

# If the request is not successful, print an error message

print("An error occurred:", response.text)

By practicing working with APIs that require authentication, you can become more proficient at using these types of APIs in your projects.

Also, check Software Testing Study Materials

Day 15-21:

Learn about API testing frameworks and tools, such as JUnit, TestNG, or Postman Collections

API testing is the process of verifying that an API is functioning as expected and meets the requirements of the system. API testing frameworks and tools are used to automate the testing process and make it more efficient.

Here are some popular API testing frameworks and tools:

JUnit: JUnit is a Java-based testing framework that is widely used for unit testing. It can be used to test APIs by setting up HTTP requests and comparing the expected and actual responses.
TestNG: TestNG is another Java-based testing framework that is similar to JUnit, but it offers additional features such as test dependencies, grouping, and parameterization.
Postman Collections: Postman is a popular API testing tool that allows you to create and save collections of API requests and responses. You can use Postman to test APIs by sending requests and comparing the expected and actual responses.

These are just a few examples of API testing frameworks and tools. There are many other options available, and the right choice will depend on your specific needs and preferences.

By using API testing frameworks and tools, you can more easily test your APIs and ensure that they are functioning correctly.

Practice writing test cases for APIs using one of these tools

Here is an example of writing test cases for an API using JUnit in Java:

import static org.junit.Assert.*;
import org.junit.Test;

public class APITest {
  @Test
  public void testGetRequest() {
    // Set the API endpoint URL and the expected response
    String url = "https://api.example.com/endpoint";
    String expectedResponse = "{\"key\": \"value\"}";

    // Make a GET request to the API endpoint
    String response = sendGetRequest(url);

    // Assert that the response matches the expected response
    assertEquals(expectedResponse, response);
  }

  @Test
  public void testPostRequest() {
    // Set the API endpoint URL, the request body, and the expected response
    String url = "https://api.example.com/endpoint";
    String requestBody = "{\"key\": \"value\"}";
    String expectedResponse = "{\"status\": \"success\"}";

    // Make a POST request to the API endpoint
    String response = sendPostRequest(url, requestBody);

    // Assert that the response matches the expected response
    assertEquals(expectedResponse, response);
  }
}

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

import static org.junit.Assert.*;

import org.junit.Test;

public class APITest {

@Test

public void testGetRequest() {

// Set the API endpoint URL and the expected response

String url = "https://api.example.com/endpoint";

String expectedResponse = "{\"key\": \"value\"}";

// Make a GET request to the API endpoint

String response = sendGetRequest(url);

// Assert that the response matches the expected response

assertEquals(expectedResponse, response);

}

@Test

public void testPostRequest() {

// Set the API endpoint URL, the request body, and the expected response

String url = "https://api.example.com/endpoint";

String requestBody = "{\"key\": \"value\"}";

String expectedResponse = "{\"status\": \"success\"}";

// Make a POST request to the API endpoint

String response = sendPostRequest(url, requestBody);

// Assert that the response matches the expected response

assertEquals(expectedResponse, response);

}

}

Here is an example of writing test cases for an API using TestNG in Java:

import org.testng.annotations.Test;
import static org.testng.Assert.*;

public class APITest {
  @Test
  public void testGetRequest() {
    // Set the API endpoint URL and the expected response
    String url = "https://api.example.com/endpoint";
    String expectedResponse = "{\"key\": \"value\"}";

    // Make a GET request to the API endpoint
    String response = sendGetRequest(url);

    // Assert that the response matches the expected response
    assertEquals(expectedResponse, response);
  }

  @Test
  public void testPostRequest() {
    // Set the API endpoint URL, the request body, and the expected response
    String url = "https://api.example.com/endpoint";
    String requestBody = "{\"key\": \"value\"}";
    String expectedResponse = "{\"status\": \"success\"}";

    // Make a POST request to the API endpoint
    String response = sendPostRequest(url, requestBody);

    // Assert that the response matches the expected response
    assertEquals(expectedResponse, response);
  }
}

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

import org.testng.annotations.Test;

import static org.testng.Assert.*;

public class APITest {

@Test

public void testGetRequest() {

// Set the API endpoint URL and the expected response

String url = "https://api.example.com/endpoint";

String expectedResponse = "{\"key\": \"value\"}";

// Make a GET request to the API endpoint

String response = sendGetRequest(url);

// Assert that the response matches the expected response

assertEquals(expectedResponse, response);

}

@Test

public void testPostRequest() {

// Set the API endpoint URL, the request body, and the expected response

String url = "https://api.example.com/endpoint";

String requestBody = "{\"key\": \"value\"}";

String expectedResponse = "{\"status\": \"success\"}";

// Make a POST request to the API endpoint

String response = sendPostRequest(url, requestBody);

// Assert that the response matches the expected response

assertEquals(expectedResponse, response);

}

}

Here is an example of writing test cases for an API using Postman Collections:

Install the Postman app and create a new collection.
Create a new request and specify the HTTP method, URL, and any necessary headers or body.
Set the expected response by clicking on the “Tests” tab and writing a script that compares the expected and actual responses.
Run the request

Learn how to use assertions to verify the correctness of API responses

An assertion is a statement that specifies a condition that is expected to be true at a certain point in the code. If the condition is not true, the assertion fails, and an error is thrown. Assertions are often used in testing to verify the correctness of a response from an API or other system.

Here is an example of using assertions to verify the correctness of an API response in Python:

import requests

# Set the API endpoint URL and the expected response
url = "https://api.example.com/endpoint"
expected_response = {
  "key": "value"
}

# Make a GET request to the API endpoint
response = requests.get(url).json()

# Assert that the response matches the expected response
assert response == expected_response

1

2

3

4

5

6

7

8

9

10

11

12

13

import requests

# Set the API endpoint URL and the expected response

url = "https://api.example.com/endpoint"

expected_response = {

"key": "value"

}

# Make a GET request to the API endpoint

response = requests.get(url).json()

# Assert that the response matches the expected response

assert response == expected_response

If the response does not match the expected response, an AssertionError will be thrown.

You can also use assertions to verify specific fields in the response, like this:

import requests

# Set the API endpoint URL and the expected response
url = "https://api.example.com/endpoint"
expected_key = "value"

# Make a GET request to the API endpoint
response = requests.get(url).json()

# Assert that the value of the "key" field in the response matches the expected value
assert response["key"] == expected_key

1

2

3

4

5

6

7

8

9

10

11

import requests

# Set the API endpoint URL and the expected response

url = "https://api.example.com/endpoint"

expected_key = "value"

# Make a GET request to the API endpoint

response = requests.get(url).json()

# Assert that the value of the "key" field in the response matches the expected value

assert response["key"] == expected_key

By using assertions to verify the correctness of API responses, you can more effectively test your APIs and ensure that they are functioning correctly.

Day 22-28:

Learn about the different types of API testing, such as functional testing, performance testing, and security testing

API (Application Programming Interface) testing involves testing the interfaces and interactions between different software systems. It is a type of software testing that focuses on verifying the functionality, performance, and security of APIs.

There are several types of API testing, including:

Functional testing: This type of testing verifies that the API is functioning correctly and returns the expected results. It involves testing the input and output of the API and checking that it behaves as expected.
Performance testing: This type of testing verifies that the API can handle the expected load and performance requirements. It involves testing the API’s response time, throughput, and stability under various load conditions.
Security testing: This type of testing verifies that the API is secure and protects sensitive data. It involves testing for vulnerabilities such as SQL injection attacks and cross-site scripting (XSS) attacks.
Compatibility testing: This type of testing verifies that the API is compatible with different environments and systems. It involves testing the API with different operating systems, browsers, and devices to ensure it functions correctly.
Workflow testing: This type of testing verifies that the API supports the correct workflow and business logic. It involves testing the API’s integration with other systems and ensuring that it supports the desired business processes.

Practice testing APIs for different types of functionality (e.g., CRUD operations, filtering, pagination)

To practice testing APIs for different types of functionality, you can follow these steps:

Determine the functionality you want to test: Some common functionality in APIs include CRUD (create, read, update, delete) operations, filtering, and pagination. Decide on the specific functionality you want to test and make sure you understand how it should work.
Set up a testing environment: You will need a server to host the API and a client to send requests to the API and receive responses. You can use a local development environment or a cloud-based platform such as Postman to set up your testing environment.
Define test cases: For each type of functionality you want to test, define a set of test cases that cover a range of scenarios. For example, if you are testing CRUD operations, you might define test cases for creating, reading, updating, and deleting resources.
Send requests to the API: Using the client, send requests to the API to test the different functionality. Make sure to include a variety of input values in your test cases to ensure the API is handling different scenarios correctly.
Verify the responses: Check the responses from the API to ensure they match the expected results. If any test cases fail, debug the issue by examining the request and response data and looking for any errors in the code.
Repeat the process: Once you have tested the initial functionality, you can repeat the process to test additional functionality or to further validate the existing functionality.

Explore advanced topics in API testing, such as continuous integration and continuous delivery

Continuous integration (CI) and continuous delivery (CD) are advanced topics in API testing that involve automating the testing and deployment of software. These practices can help ensure that software is released quickly and efficiently, while still maintaining high quality.

Continuous integration involves automatically building and testing code changes as they are committed to a version control system. This helps to catch errors early in the development process, as developers can quickly see if their changes break the build or cause test failures.

Continuous delivery involves automatically deploying code changes to production once they pass all necessary tests. This can be done manually by a developer, or it can be fully automated through the use of a deployment pipeline.

To implement CI and CD in API testing, you can use a tool such as Jenkins, Travis CI, or Azure DevOps. These tools can automatically run tests and deploy code changes based on certain triggers, such as a commit to a repository or the completion of a build.

In API testing, it is important to set up automated tests that can be run as part of the CI/CD process. This can help ensure that changes to the API do not break existing functionality or introduce new errors. It is also important to have a robust set of tests in place to validate the API’s performance, security, and compatibility with different systems.

api TESTing — API Testing

Day 29-30:

Review and practice the concepts and skills learned over the past 30 days

I can provide some general recommendations for reviewing and practicing what you have learned:

Review your notes and any materials you used to learn the concepts. Make sure you understand the key ideas and how they relate to each other.
Practice applying the concepts in different contexts. For example, if you have learned a programming language, try writing code to solve different types of problems. If you have learned a new skill, try applying it in different settings or scenarios.
Seek feedback on your understanding and application of the concepts. You can ask a mentor or peer to review your work and provide feedback, or you can participate in online communities or forums related to the topic you are learning.
Keep learning and building on your skills. In addition to reviewing and practicing what you have learned, continue to seek out new learning opportunities and challenges to expand your knowledge and capabilities.

Consider working on a real-world API testing project to apply your newfound knowledge and skills.

Working on a real-world API testing project is a great way to apply your newfound knowledge and skills. Here are some steps you can follow to get started:

Identify a project: Consider what types of APIs you are interested in testing and what types of functionality you want to focus on. You can look for existing projects or APIs to test, or you can create your own API to test.
Set up a testing environment: You will need a server to host the API and a client to send requests to the API and receive responses. You can use a local development environment or a cloud-based platform such as Postman to set up your testing environment.
Define the scope of the project: Determine what functionality you want to test and how you will test it. You may want to create a testing plan or roadmap to guide your efforts.
Write test cases: For each type of functionality you want to test, write a set of test cases that cover a range of scenarios. Make sure to include a variety of input values in your test cases to ensure the API is handling different scenarios correctly.
Send requests to the API: Using the client, send requests to the API to test the different functionality. Make sure to verify the responses to ensure they match the expected results.
Debug and troubleshoot any issues: If any test cases fail, debug the issue by examining the request and response data and looking for any errors in the code.
Document and report your findings: Document your testing process and the results of your tests. This can help you keep track of your progress and identify areas for improvement. You may also want to share your findings with others, such as the API developer or other stakeholders.

Social Sites	Links
Follow us on Google News	Click Here
Join our Whatsapp Community	Click Here
Like our Facebook Page	Click Here
Join Software Testing Forum	Click Here
Follow us on Instagram Page	Click Here
Join our Telegram Channel	Click Here
Subscribe to our Youtube Channel	Click Here
LinkedIn	Click Here
LinkedIn Newsletter	Click Here
Quora Space	Click Here
Follow us on Medium	Click Here
Twitter	Click Here
Our Website	Click Here

*** Connect with us ***

Frequently Asked Questions on API Testing

Here are some frequently asked questions about API testing:

Q. What is API testing?

Ans. API testing is a type of software testing that focuses on verifying the functionality, performance, and security of APIs. It involves testing the interfaces and interactions between different software systems.

Q. What are some common types of API testing?

Ans. Some common types of API testing include functional testing, performance testing, security testing, compatibility testing, and workflow testing.

Q. How do I set up a testing environment for API testing?

Ans. To set up a testing environment for API testing, you will need a server to host the API and a client to send requests to the API and receive responses. You can use a local development environment or a cloud-based platform such as Postman to set up your testing environment.

Q. How do I write test cases for API testing?

Ans. To write test cases for API testing, you will need to determine the functionality you want to test and define a set of test cases that cover a range of scenarios. Make sure to include a variety of input values in your test cases to ensure the API is handling different scenarios correctly.

Q. How do I debug and troubleshoot issues in API testing?

Ans. To implement continuous integration and continuous delivery in API testing, you can use a tool such as Jenkins, Travis CI, or Azure DevOps. These tools can automatically run tests and deploy code changes based on certain triggers, such as a commit to a repository or the completion of a build. It is important to set up automated tests that can be run as part of the CI/CD process to ensure that changes to the API do not break existing functionality or introduce new errors.

Conclusion

Keep in mind that this is just a suggested roadmap, and you may need to adjust your schedule based on your own learning style and pace. It’s also a good idea to seek out additional resources and exercises to supplement your learning.

Avinash

Please email us if you find any copyrighted content on our website, and I'll remove it within 48 hours. Email: softwaretestingsapiens@gmail.com

...

Leave a Comment Cancel reply