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Understanding HTTP Requests: Structure, Methods & Examples

Understanding HTTP Requests: Structure, Methods & Examples
Hostman Team
Technical writer
Python Network
04.10.2024
Reading time: 9 min

HTTP is a key to communication on the internet. Methods of HTTP protocols allow clients to send requests to the servers and servers to send responses. Every website on the World Wide Web uses HTTP requests. So, it's necessary to understand them. This article explores the concept of HTTP requests, its structure, common methods, and real-life examples. This helps in understanding the functioning of the web. 

What is an HTTP Request

An HTTP request is a message where a client, such as a web browser, asks the host located on the server for a specific resource. Clients use URLs in HTTP requests which show the resources they want to access from the server. 

Components of an HTTP Request

Every HTTP request comprises three components namely; request line, headers and message body.

Request Line 

A request line is the start line in an HTTP request command. It is used to initialize an action on the server. A request line would also indicate what kind of method and version of HTTP protocol the client is using. Apart from the HTTP method, a request line also consists of a URI or URL to the path or protocol. 

Request line example:

GET /index.html HTTP/1.1

Headers

Headers are right behind the request line. They offer client’s additional information to the server. Headers include data about the host, client’s user agent, language preferences and more. Server leverages this information to identify the browser and OS version of the client. HTTP request headers are case-sensitive, followed by a colon (:) and a value. 

HTTP request Headers example: 

Host: example.com
User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.107 Safari/537.36
Accept: application/json, text/plain, */*
Accept-Language: en-US,en;q=0.9
Accept-Encoding: gzip, deflate, br
Connection: keep-alive

Message body

The message body in an HTTP request is used to send data to the server. They are optional. So, not every HTTP request will have a message body. It depends on the HTTP request types the client uses. The HTTP requests that do have a message body, usually leverage POST to send information. Mainly, the server uses the message body to provide the requested data to the client. 

Common HTTP Methods

An HTTP request is a way to connect the client with the server. There can be many reasons for pursuing this connection. It might be to retrieve specific resources or delete certain information on the server. The most common HTTP request methods used daily include: 

GET: To Retrieve Resources

The biggest use case of an HTTP request is to ask the server for a specific set of data or resources. And that is done using the GET method. Every time a user wants to go to a website or any web page, the client browser first sends a request to retrieve the required data to load that page. 

The GET in HTTP is a cacheable, safe, and idempotent method. However,, using a GET method multiple times can still impact server performance. The GET Method can only bring existing data from the server to the client. It can’t make any changes to it. So, the data or the resources would be in a read-only format. 

POST: To Send Data

When a client wants to retrieve any information, they use the GET method, but when providing some information to the server, the client uses the HTTP POST request. Let’s say users need to submit a form or upload a file. In this case, the client’s browser has to execute the POST method in HTTP to send the data to the server. 

The message body in an HTTP request contains the data. When a client browser sends a POST request, the server processes the data. Using a POST method multiple times would result in the creation of different resources on the server. 

PUT: To Update Resources

Similar to the POST method, the PUT method also allows the client to add some information to the server. The only difference between both methods is that in POST, users submit new data whereas in PUT, they update the existing data. 

When implementing the PUT request, the client has to specify the resource’s URL that it wants to update. The request also includes the updated representation of the resource in its message body. The server would simply replace the old representation with the new one. 

The PUT method is idempotent so there is no harm in implementing multiple identical PUT requests as it would yield the same result. 

DELETE: To Remove Resources

As the name suggests, the DELETE method helps the client delete any specific resource from the server. Employing the DELETE request helps the client instruct the server to delete the resource mentioned in the request. 

Upon the DELETE request of the client, when the server successfully deletes the specified resource, it sends back a confirmation to the client. Sending multiple identical DELETE requests would yield the same result. 

What is an HTTP Response?

When the server sends back a response to an HTTP request, it is called an HTTP response. The server acts upon the request it receives from the client browser. The HTTP response would then either consist of the requested resource or valuable information regarding the requested operation. 

So, like an HTTP request, an HTTP response is also made up of three components with a slight difference. The response starts with a status line, and a request starts with a request line

  • Status Line: As the request line does in an HTTP request, the status line in the HTTP response also indicates which version of HTTP is used along with the status code and the message specifying the outcome of the request. 

  • Headers: Headers in the HTTP response offer additional information like the date and time of response, the type of content that is sent in the message body, details of the server and instructions on how to cache the content. 

  • Body: The actual message or response data that the server sends to the client browser is placed in the message body. The content could be anything from XML, JSON or HTML for the web page, an image, or any other kind of requested resource.

Status Codes and Their Meanings

HTTP status codes represent the status of the client’s HTTP requests. They come as a part of an HTTP server response. Every status code consists of three digital numbers where the first digit of the code indicates the class or category of the response. There are five types of code groups.

Status code group 

Description 

1xx

Informational responses, continuing processing.

2xx

Success responses, requests are processed, understood and accepted.

3xx

Redirecting responses, suggests further action to complete the request.

4xx

Error responses, show what’s wrong with the request on client-side.

5xx

Error responses, state what went wrong with processing request on server-side.

HTTP Headers and Their Importance

HTTP headers provide additional information about requests and responses. This information is critical for communication between client and server. Headers are fundamental for web browsing and app functionality. They play an important role in the following web operations: 

  1. Host Identification

Headers bear the identification of a server’s domain that is hosting the resources. It is helpful in scenarios where a server hosts multiple domains. 

  1. Caching
    Headers like Expires and Cache-Control handle how browsers cache responses and intermediate proxies. It helps minimize loading time and server requests by determining how long a response needs to be stored. 

  2. Cookie Management
    Headers like Set-Cookie and Cookie help save and send cookies respectively. They assist in tracking user behavior and maintain user sessions. 

  3. Security

Headers also play a critical role in securing web applications. An Authorization header helps with user authentication whereas a Content-Security-Policy is used for mitigating XSS and other security risks. 

  1. Response Control
    Headers like Status inform whether the request was a success or a failure. It also provides the necessary details so the client can manage responses appropriately. 

Practical Examples of HTTP Requests

Here are a few real-life examples of how different HTTP requests are commonly used in day-to-day operations. All the examples are in Python with the use of the requests library.

GET

From entering a simple URL for the website to asking for a specific record from the web server, fetching data requires an HTTP GET request. Let’s say, the client wants to get the weather data of London. The implementation of GET requests in this use case would look like: 

import requests
response = requests.get("https://api.example.com/data", params={"param1": "value1", "param2": "value2"})
# Print the response
print(response.status_code)
print(response.json())  # Assuming the response is in JSON format

POST

When a user wants to create a new user in a hypothetical API. And wants to send the following JSON data:

{
	"username": "newuser",
	"email": "[email protected]",
	"password": "securepassword"
}

The following Python code sends a POST request with the specified data:

import requests

url = "https://api.example.com/users"
data = {
	"username": "newuser",
	"email": "[email protected]",
	"password": "securepassword"
}

# Make the POST request
response = requests.post(url, json=data)

if response.status_code == 201:
	print("User created successfully:", response.json())
else:
	print("Error:", response.status_code, response.text)

PUT

When a client wants to update the information of a user with a specific ID

import requests

url = "https://api.example.com/users/123"
data = {
    "username": "updateduser",
    "email": "[email protected]"
}

# Make the PUT request
response = requests.put(url, json=data)

if response.status_code == 200:
    print("User updated successfully:", response.json())
else:
    print("Error:", response.status_code, response.text)

DELETE

When a client wants to delete a specific user. Here’s how it will look like in Python.

import requests
 
url = "https://api.example.com/users/123"

# Make the DELETE request
response = requests.delete(url)

if response.status_code == 204:
	print("User deleted successfully.")
else:
	print("Error:", response.status_code, response.text)

Conclusion

HTTP requests play a critical role in web interactions. Hence, it is essential to understand various request methods and how they work. However, the key to seamless communication lies in picking a suitable method. This also enhances the efficiency of web applications.

If you want to build a web service using Python, you can rent a cloud server at competitive prices with Hostman.

Python Network
04.10.2024
Reading time: 9 min

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It appends one list to the end of another, resulting in a new list. a1 = [1, 12, 5, 49, 56] a2 = [27, 36, 42] list= a1 + a2 print(list) Output: [1, 12, 5, 49, 56, 27, 36, 42] Let’s look at another example, where a Python program generates three lists with random numbers and combines them into a single list: import random def generate_and_combine_lists(length): if length <= 0: raise ValueError("List length must be a positive number") list1 = [random.randint(1, 10) for _ in range(length)] list2 = [random.randint(1, 100) for _ in range(length)] list3 = [random.randint(1, 1000) for _ in range(length)] try: combined_list = list1 + list2 + list3 return list1, list2, list3, combined_list except TypeError as e: print(f"Error combining lists: {e}") return None list_length = 5 list1, list2, list3, combined_list = generate_and_combine_lists(list_length) if combined_list: print(f"List 1: {list1}") print(f"List 2: {list2}") print(f"List 3: {list3}") print(f"Combined List: {combined_list}") Output: List 1: [4, 7, 3, 2, 10] List 2: [43, 73, 5, 61, 39] List 3: [500, 315, 935, 980, 224] Combined List: [4, 7, 3, 2, 10, 43, 73, 5, 61, 39, 500, 315, 935, 980, 224] Method 2: The * Operator The * operator can easily combine lists in Python by unpacking the elements of collections into indexed positions. If you have two lists, for example: list1 = [1, 12, 5, 49, 56]list2 = [27, 36, 42] Using the * operator replaces the list with its individual elements at the specified index positions, effectively "unpacking" the list contents. list1 = [1, 12, 5, 49, 56]list2 = [27, 36, 42]combined_list = [*list1, *list2]print(str(combined_list)) Output: [1, 12, 5, 49, 56, 27, 36, 42] Below is another example where randomly generated Python lists are combined using the * operator: import random def generate_and_combine_lists(length): if length <= 0: raise ValueError("List length must be a positive number") list1 = [random.randint(1, 100) for _ in range(length)] list2 = [random.randint(1, 100) for _ in range(length)] list3 = [random.randint(1, 100) for _ in range(length)] return list1, list2, list3, *list1, *list2, *list3 list_length = 5 list1, list2, list3, *combined_list = generate_and_combine_lists(list_length) print(f"List 1: {list1}") print(f"List 2: {list2}") print(f"List 3: {list3}") print(f"Combined List: {combined_list}") Output: List 1: [10, 43, 17, 74, 99] List 2: [65, 91, 56, 37, 37] List 3: [33, 39, 87, 27, 82] Combined List: [10, 43, 17, 74, 99, 65, 91, 56, 37, 37, 33, 39, 87, 27, 82] The * operator efficiently merges the contents of list1, list2, and list3 into a single combined_list. Method 3: Using a for Loop In this method, we use a for loop to iterate over the second list. Each element from the second list is added to the first list using the append() method. The result is a new list that combines the elements of both lists. list1 = [6, 11, 32, 71, 3] list2 = [18, 54, 42] print("Original List 1:", str(list1)) for x in list2: list1.append(x) print("Combined List:", str(list1)) Output: Original List 1: [6, 11, 32, 71, 3] Combined List: [6, 11, 32, 71, 3, 18, 54, 42] Method 4: List Comprehension We can also use list comprehensions in Python to combine lists efficiently. A list comprehension is a concise way to generate a new list based on an iterable. list1 = [5, 73, 232, 1, 8, 19] list2 = [84, 56, 7, 10, 20, 30] combined_list = [j for i in [list1, list2] for j in i] print("Combined List:", str(combined_list)) Output: [5, 73, 232, 1, 8, 19, 84, 56, 7, 10, 20, 30]   Method 5: Using the extend() Method The extend() method in Python iterates over the elements of the provided list and appends them to the current list, effectively merging both lists. import random list1 = [random.randint(10, 20) for _ in range(5)] list2 = [random.randint(20, 50) for _ in range(3)] print("First List:", str(list1)) list1.extend(list2) print("Combined List:", str(list1)) Output: First List: [19, 19, 16, 17, 16]Combined List: [19, 19, 16, 17, 16, 47, 21, 31] In this approach, all elements from list2 are added to list1, updating list1 directly with the combined contents. Method 6: Using itertools.chain() The itertools module in Python provides various functions for working with iterators, which can be used to efficiently generate lists. It is particularly useful for generating large lists created with complex rules, as it avoids creating the entire list in memory at once, which can lead to memory overflow for very large datasets. We can also use the itertools.chain() function from the itertools module to combine lists in Python. import itertools list_of_lists = [[1, 5], [3, 4], [7, 12]] chained_list = list(itertools.chain(*list_of_lists)) print(chained_list) Output: [1, 5, 3, 4, 7, 12] Let's consider a case where we generate letters and combine them into a list. import itertools import string def generate_letter_range(start, stop): for letter in string.ascii_lowercase[start:stop]: yield letter list1 = generate_letter_range(0, 3) list2 = generate_letter_range(7, 16) combined_list = list(itertools.chain(list1, list2)) print(combined_list) Output: ['a', 'b', 'c', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p'] We can also combine lists of numbers using itertools.chain(). import itertools list1 = [5, 73, 232, 1, 8] list2 = [19, 84, 56, 7] list3 = [10, 20, 30] combined_list = list(itertools.chain(list1, list2, list3)) print(combined_list) Output: [5, 73, 232, 1, 8, 19, 84, 56, 7, 10, 20, 30] Let's generate random letters in two lists, with one list containing 3 letters and the other containing 7, and then combine them. import itertools import random import string def generate_letter_list(num_letters): for i in range(num_letters): yield random.choice(string.ascii_letters) num_list1 = 3 num_list2 = 7 list1 = generate_letter_list(num_list1) list2 = generate_letter_list(num_list2) combined_list = list(itertools.chain(list1, list2)) print(combined_list) Output: ['d', 'e', 'O', 'M', 'q', 'i', 'N', 'V', 'd', 'C'] Conclusion Each of these methods for merging lists in Python has its own particularities, and the choice of which one to use depends on what you need to accomplish, the amount of data you have, and how quickly you want to get the result. Understanding these methods will help you to work more efficiently with data in your Python projects. Choose the method that suits your needs, and don't hesitate to try different approaches to get the best result!
05 February 2025 · 7 min to read

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