Python Requests basics to intermediate - MaheshShukla1/Python-SOC-Security-notes GitHub Wiki

1. Basic GET Request

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import requests response = requests.get('https://jsonplaceholder.typicode.com/posts/1') print(response.status_code) print(response.json())

Explanation:

requests.get(url) sends a GET request to the specified URL.
response.status_code prints the HTTP status code (e.g., 200 for success).
response.json() parses the response to a JSON object.

2. GET Request with Parameters

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import requests params = {'userId': 1} response = requests.get('https://jsonplaceholder.typicode.com/posts', params=params) print(response.url) print(response.json())

Explanation:

params is a dictionary of query parameters to append to the URL.
response.url shows the full URL after parameters are added.

3. Handling Response Headers

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import requests response = requests.get('https://jsonplaceholder.typicode.com/posts/1') print(response.headers)

Explanation:

response.headers returns the headers of the response.

4. POST Request with JSON Data

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import requests data = { 'title': 'foo', 'body': 'bar', 'userId': 1 } response = requests.post('https://jsonplaceholder.typicode.com/posts', json=data) print(response.status_code) print(response.json())

Explanation:

json=data sends JSON data in the POST request.
requests.post(url, json=data) sends a POST request with the specified JSON data.

5. POST Request with Form Data

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import requests data = { 'username': 'user', 'password': 'pass' } response = requests.post('https://httpbin.org/post', data=data) print(response.json())

Explanation:

data sends form-encoded data in the POST request.

6. PUT Request

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import requests data = { 'id': 1, 'title': 'updated title', 'body': 'updated body', 'userId': 1 } response = requests.put('https://jsonplaceholder.typicode.com/posts/1', json=data) print(response.json())

Explanation:

requests.put(url, json=data) sends a PUT request with the specified JSON data.

7. DELETE Request

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import requests response = requests.delete('https://jsonplaceholder.typicode.com/posts/1') print(response.status_code)

Explanation:

requests.delete(url) sends a DELETE request to the specified URL.

8. Handling Timeout

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import requests try: response = requests.get('https://httpbin.org/delay/5', timeout=2) except requests.Timeout: print('The request timed out')

Explanation:

timeout specifies the maximum number of seconds to wait for a response.
requests.Timeout is raised if the request exceeds the timeout.

9. Custom Headers

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import requests headers = { 'User-Agent': 'my-app/0.0.1' } response = requests.get('https://httpbin.org/headers', headers=headers) print(response.json())

Explanation:

headers is a dictionary of HTTP headers to send with the request.

10. Authentication

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import requests response = requests.get('https://httpbin.org/basic-auth/user/pass', auth=('user', 'pass')) print(response.status_code)

Explanation:

auth provides basic authentication credentials.

11. Handling Redirects

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import requests response = requests.get('http://github.com') print(response.url) print(response.history)

Explanation:

response.url shows the final URL after redirection.
response.history shows a list of response objects that were created to complete the request.

12. Streaming Requests

python

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import requests response = requests.get('https://jsonplaceholder.typicode.com/photos', stream=True) for chunk in response.iter_content(chunk_size=1024): print(chunk)

Explanation:

stream=True allows handling the content in chunks.
response.iter_content(chunk_size) iterates over the response data in chunks.

13. Downloading Files

python

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import requests url = 'https://via.placeholder.com/150' response = requests.get(url) with open('image.png', 'wb') as file: file.write(response.content)

Explanation:

response.content returns the raw bytes of the response content.
with open opens a file in write-binary mode to save the content.

14. Uploading Files

python

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import requests files = {'file': open('image.png', 'rb')} response = requests.post('https://httpbin.org/post', files=files) print(response.json())

Explanation:

files is a dictionary of files to send in the POST request.
open('filename', 'rb') opens a file in read-binary mode.

15. Session Objects

python

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import requests session = requests.Session() session.get('https://httpbin.org/cookies/set/sessioncookie/123456789') response = session.get('https://httpbin.org/cookies') print(response.json())

Explanation:

requests.Session() creates a session object to persist certain parameters across requests.
session.get(url) sends a GET request within the session.

16. Custom Timeout per Request

python

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import requests response = requests.get('https://httpbin.org/delay/2', timeout=(3, 5)) print(response.status_code)

Explanation:

timeout=(connect, read) sets the timeout for connect and read operations.

17. Proxies

python

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import requests proxies = { 'http': 'http://10.10.1.10:3128', 'https': 'http://10.10.1.10:1080' } response = requests.get('https://httpbin.org/ip', proxies=proxies) print(response.json())

Explanation:

proxies is a dictionary of proxy URLs for HTTP and HTTPS.

18. Custom SSL Certificates

python

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import requests response = requests.get('https://example.com', verify='/path/to/certfile') print(response.status_code)

Explanation:

verify specifies the path to a custom SSL certificate file.

19. Handling Cookies

python

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import requests url = 'https://httpbin.org/cookies/set/sessioncookie/123456789' response = requests.get(url) print(response.cookies['sessioncookie'])

Explanation:

response.cookies is a dictionary-like object containing cookies sent by the server.

20. Parsing HTML with BeautifulSoup

python

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import requests from bs4 import BeautifulSoup response = requests.get('https://example.com') soup = BeautifulSoup(response.text, 'html.parser') print(soup.title.string)

Explanation:

response.text returns the response content as a string.
BeautifulSoup parses the HTML content and provides methods to navigate and search the parse tree.

Intermediate examples

1. Handling JSON with Nested Structures

python

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import requests response = requests.get('https://jsonplaceholder.typicode.com/users/1') data = response.json() print(data['address']['geo'])

Explanation:

This example fetches user data and extracts the nested geo information within the address field.

2. Handling Errors with Try/Except

python

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import requests try: response = requests.get('https://jsonplaceholder.typicode.com/invalid-url') response.raise_for_status() except requests.exceptions.HTTPError as err: print(f"HTTP error occurred: {err}") except Exception as err: print(f"Other error occurred: {err}")

Explanation:

This code handles HTTP errors using raise_for_status() and catches other exceptions using try/except.

3. Retrying Requests with Backoff

python

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import requests from requests.adapters import HTTPAdapter from requests.packages.urllib3.util.retry import Retry session = requests.Session() retry = Retry(total=5, backoff_factor=1, status_forcelist=[500, 502, 503, 504]) adapter = HTTPAdapter(max_retries=retry) session.mount('http://', adapter) session.mount('https://', adapter) response = session.get('https://httpbin.org/status/500') print(response.status_code)

Explanation:

This code sets up automatic retries for failed requests using Retry and HTTPAdapter.

4. Using Sessions for Cookie Persistence

python

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import requests session = requests.Session() session.get('https://httpbin.org/cookies/set/sessioncookie/123456789') response = session.get('https://httpbin.org/cookies') print(response.json())

Explanation:

Sessions keep cookies between requests, useful for maintaining login sessions.

5. Posting JSON Data

python

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import requests url = 'https://jsonplaceholder.typicode.com/posts' data = { 'title': 'foo', 'body': 'bar', 'userId': 1 } response = requests.post(url, json=data) print(response.json())

Explanation:

This example sends a POST request with JSON data and prints the response.

6. Posting Multipart Form Data

python

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import requests url = 'https://httpbin.org/post' files = {'file': open('report.xls', 'rb')} response = requests.post(url, files=files) print(response.json())

Explanation:

This code uploads a file using multipart form data in a POST request.

7. Handling Timeouts and Retries

python

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import requests from requests.adapters import HTTPAdapter from requests.packages.urllib3.util.retry import Retry session = requests.Session() retry = Retry(total=3, backoff_factor=0.3) adapter = HTTPAdapter(max_retries=retry) session.mount('http://', adapter) session.mount('https://', adapter) try: response = session.get('https://httpbin.org/delay/5', timeout=2) except requests.exceptions.Timeout: print("The request timed out")

Explanation:

This code handles request timeouts and retries the request up to 3 times with exponential backoff.

8. Handling SSL Verification

python

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import requests response = requests.get('https://expired.badssl.com/', verify=False) print(response.status_code)

Explanation:

verify=False disables SSL verification, useful for testing but not recommended for production.

9. Custom Authentication

python

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import requests from requests.auth import HTTPBasicAuth response = requests.get('https://httpbin.org/basic-auth/user/pass', auth=HTTPBasicAuth('user', 'pass')) print(response.status_code)

Explanation:

This code demonstrates how to use HTTP basic authentication with the HTTPBasicAuth class.

10. Using Custom Headers

python

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import requests url = 'https://httpbin.org/headers' headers = {'User-Agent': 'my-app/0.0.1'} response = requests.get(url, headers=headers) print(response.json())

Explanation:

Custom headers can be added to the request by passing a dictionary to the headers parameter.

11. Parsing XML Responses

python

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import requests import xml.etree.ElementTree as ET response = requests.get('https://www.w3schools.com/xml/note.xml') root = ET.fromstring(response.content) for child in root: print(child.tag, child.text)

Explanation:

This example parses an XML response using ElementTree and prints each element's tag and text.

12. Handling Redirects

python

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import requests response = requests.get('http://github.com') print(response.url) print(response.history)

Explanation:

response.history provides a list of redirect responses that were followed to reach the final URL.

13. Using Query Parameters

python

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import requests params = {'page': 2, 'count': 10} response = requests.get('https://jsonplaceholder.typicode.com/posts', params=params) print(response.url)

Explanation:

Query parameters can be added to the URL by passing a dictionary to the params parameter.

14. Downloading Large Files

python

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import requests url = 'https://speed.hetzner.de/100MB.bin' response = requests.get(url, stream=True) with open('large_file.bin', 'wb') as f: for chunk in response.iter_content(chunk_size=8192): f.write(chunk)

Explanation:

stream=True enables streaming, and iter_content allows downloading large files in chunks.

15. Sending Complex JSON Data

python

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import requests url = 'https://httpbin.org/post' data = { 'user': { 'id': 1, 'name': 'John Doe', 'contacts': [ {'type': 'email', 'value': '[email protected]'}, {'type': 'phone', 'value': '123-456-7890'} ] } } response = requests.post(url, json=data) print(response.json())

Explanation:

This example sends complex nested JSON data in a POST request.

16. Advanced Error Handling

python

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import requests try: response = requests.get('https://httpbin.org/status/404') response.raise_for_status() except requests.exceptions.HTTPError as http_err: print(f'HTTP error occurred: {http_err}') except Exception as err: print(f'Other error occurred: {err}') else: print('Success!')

Explanation:

This code demonstrates advanced error handling with raise_for_status() and multiple exception types.

17. Using Hooks

python

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import requests def response_hook(response, *args, **kwargs): print(response.status_code) response = requests.get('https://httpbin.org/get', hooks={'response': response_hook})

Explanation:

Hooks allow attaching custom callback functions to request events.

18. Session Cookies

python

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import requests session = requests.Session() session.get('https://httpbin.org/cookies/set/sessioncookie/123456789') response = session.get('https://httpbin.org/cookies') print(response.json())

Explanation:

This example demonstrates how session cookies are preserved across requests.

19. Custom Timeout for Connect and Read

python

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import requests response = requests.get('https://httpbin.org/delay/1', timeout=(5, 10)) print(response.status_code)

Explanation:

Separate timeouts can be set for the connect and read operations by passing a tuple to the timeout parameter.

20. Custom Proxy Configuration

python

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import requests proxies = { 'http': 'http://10.10.1.10:3128', 'https': 'http://10.10.1.10:1080' } response = requests.get('https://httpbin.org/ip', proxies=proxies) print(response.json())

Explanation:

Proxies can be configured for both HTTP and HTTPS requests by passing a dictionary to the proxies parameter.

New examples for practice

. Handling JSON with Nested Structures

python

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import requests response = requests.get('https://jsonplaceholder.typicode.com/users/1') data = response.json() print(data['address']['geo'])

Explanation:

requests.get() sends a GET request to the specified URL.
.json() method converts the response to a Python dictionary.
data['address']['geo'] accesses the nested geo field inside the address dictionary.

2. Handling Errors with Try/Except

python

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Explanation:

The try block attempts to send a GET request.
raise_for_status() will raise an HTTPError if the HTTP request returned an unsuccessful status code.
The except blocks catch and print specific errors.

3. Retrying Requests with Backoff

python

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Explanation:

Retry sets up retry logic with a backoff factor.
HTTPAdapter mounts the retry logic to the session.
session.get() uses the retry logic for the request.

4. Using Sessions for Cookie Persistence

python

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import requests session = requests.Session() session.get('https://httpbin.org/cookies/set/sessioncookie/123456789') response = session.get('https://httpbin.org/cookies') print(response.json())

Explanation:

requests.Session() creates a session object.
Cookies set in one request are persisted and used in subsequent requests.

5. Posting JSON Data

python

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import requests url = 'https://jsonplaceholder.typicode.com/posts' data = { 'title': 'foo', 'body': 'bar', 'userId': 1 } response = requests.post(url, json=data) print(response.json())

Explanation:

requests.post() sends a POST request with JSON data.
The json parameter is used to send JSON data in the body of the request.

6. Posting Multipart Form Data

python

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import requests url = 'https://httpbin.org/post' files = {'file': open('report.xls', 'rb')} response = requests.post(url, files=files) print(response.json())

Explanation:

files parameter allows file uploads.
'rb' mode opens the file in binary read mode for uploading.

7. Handling Timeouts and Retries

python

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Explanation:

timeout=2 sets a timeout for the request.
Retry logic retries the request if it fails.

8. Handling SSL Verification

python

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import requests response = requests.get('https://expired.badssl.com/', verify=False) print(response.status_code)

Explanation:

verify=False disables SSL verification.
Useful for testing, but not recommended for production due to security risks.

9. Custom Authentication

python

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import requests from requests.auth import HTTPBasicAuth response = requests.get('https://httpbin.org/basic-auth/user/pass', auth=HTTPBasicAuth('user', 'pass')) print(response.status_code)

Explanation:

HTTPBasicAuth is used to provide basic authentication credentials.

10. Using Custom Headers

python

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import requests url = 'https://httpbin.org/headers' headers = {'User-Agent': 'my-app/0.0.1'} response = requests.get(url, headers=headers) print(response.json())

Explanation:

Custom headers can be sent with a request using the headers parameter.

11. Parsing XML Responses

python

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Explanation:

ET.fromstring() parses XML content.
Iterating through the XML tree to print tags and text.

12. Handling Redirects

python

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import requests response = requests.get('http://github.com') print(response.url) print(response.history)

Explanation:

response.history contains the list of redirect responses.
response.url is the final URL after all redirects.

13. Using Query Parameters

python

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import requests params = {'page': 2, 'count': 10} response = requests.get('https://jsonplaceholder.typicode.com/posts', params=params) print(response.url)

Explanation:

Query parameters can be passed using the params parameter.
params is a dictionary of query parameters.

14. Downloading Large Files

python

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Explanation:

stream=True enables streaming mode.
iter_content() allows downloading in chunks to handle large files.

15. Sending Complex JSON Data

python

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Explanation:

Complex nested JSON data can be sent using the json parameter.

16. Advanced Error Handling

python

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Explanation:

raise_for_status() raises an HTTPError for bad responses.
else block runs if no exception is raised.

17. Using Hooks

python

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import requests def response_hook(response, *args, **kwargs): print(response.status_code) response = requests.get('https://httpbin.org/get', hooks={'response': response_hook})

Explanation:

Hooks allow attaching custom callback functions to request events.

18. Session Cookies

python

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import requests session = requests.Session() session.get('https://httpbin.org/cookies/set/sessioncookie/123456789') response = session.get('https://httpbin.org/cookies') print(response.json())

Explanation:

Session cookies are persisted across requests within the session.

19. Custom Timeout for Connect and Read

python

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import requests response = requests.get('https://httpbin.org/delay/1', timeout=(5, 10)) print(response.status_code)

Explanation:

timeout can be a tuple (connect timeout, read timeout).

20. Custom Proxy Configuration

python

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import requests proxies = { 'http': 'http://10.10.1.10:3128', 'https': 'http://10.10.1.10:1080' } response = requests.get('https://httpbin.org/ip', proxies=proxies) print(response.json())

Explanation:

Proxies can be configured for both HTTP and HTTPS requests using the proxies parameter.

These examples cover a range of intermediate-level topics and should give you a solid un derstanding of how to use the requests library in Python for more complex tasks.

Python Requests Module: Detailed and Engaging Notes

1. Handling JSON with Nested Structures

Code Example:

python

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import requests response = requests.get('https://jsonplaceholder.typicode.com/users/1') data = response.json() print(data['address']['geo'])

Explanation:

requests.get('URL') sends a GET request to the specified URL.
The .json() method converts the response to a Python dictionary.
data['address']['geo'] accesses the nested geo field inside the address dictionary.

Key Points:

JSON responses are easily handled by converting them to dictionaries.
Accessing nested structures requires understanding the hierarchy.

Practical Tip: Use JSON data to parse and manipulate responses from web APIs, making it easy to work with structured data.

2. Handling Errors with Try/Except

Code Example:

python

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Explanation:

The try block attempts to send a GET request.
raise_for_status() will raise an HTTPError if the HTTP request returned an unsuccessful status code.
The except blocks catch and print specific errors.

Key Points:

Error handling is crucial for robust programs.
Use try/except to manage exceptions and provide meaningful messages.

Practical Tip: Always handle potential errors in network requests to avoid crashes and ensure a smooth user experience.

3. Retrying Requests with Backoff

Code Example:

python

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Explanation:

Retry sets up retry logic with a backoff factor.
HTTPAdapter mounts the retry logic to the session.
session.get() uses the retry logic for the request.

Key Points:

Retries help handle transient errors gracefully.
The backoff_factor controls the delay between retries.

Practical Tip: Implement retry logic to make your application more resilient to temporary network issues.

4. Using Sessions for Cookie Persistence

Code Example:

python

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import requests session = requests.Session() session.get('https://httpbin.org/cookies/set/sessioncookie/123456789') response = session.get('https://httpbin.org/cookies') print(response.json())

Explanation:

requests.Session() creates a session object.
Cookies set in one request are persisted and used in subsequent requests.

Key Points:

Sessions allow cookies to persist across multiple requests.
Useful for maintaining stateful interactions with a web service.

Practical Tip: Use sessions to handle login cookies and maintain state across multiple requests without needing to manually manage cookies.

5. Posting JSON Data

Code Example:

python

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import requests url = 'https://jsonplaceholder.typicode.com/posts' data = { 'title': 'foo', 'body': 'bar', 'userId': 1 } response = requests.post(url, json=data) print(response.json())

Explanation:

requests.post() sends a POST request with JSON data.
The json parameter is used to send JSON data in the body of the request.

Key Points:

Posting JSON data is straightforward with the json parameter.
This is commonly used for creating or updating resources in web APIs.

Practical Tip: Use JSON data to communicate structured information with your web service endpoints efficiently.

6. Posting Multipart Form Data

Code Example:

python

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import requests url = 'https://httpbin.org/post' files = {'file': open('report.xls', 'rb')} response = requests.post(url, files=files) print(response.json())

Explanation:

The files parameter allows file uploads.
'rb' mode opens the file in binary read mode for uploading.

Key Points:

Multipart form data is used for uploading files.
Ensure files are opened in binary mode for compatibility.

Practical Tip: Use multipart form data to upload files to a server, such as images, documents, or any binary data.

7. Handling Timeouts and Retries

Code Example:

python

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Explanation:

timeout=2 sets a timeout for the request.
Retry logic retries the request if it fails.

Key Points:

Timeouts prevent your application from hanging indefinitely.
Retries with backoff ensure resilience against temporary issues.

Practical Tip: Configure timeouts and retries to improve the reliability and performance of your application.

8. Handling SSL Verification

Code Example:

python

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import requests response = requests.get('https://expired.badssl.com/', verify=False) print(response.status_code)

Explanation:

verify=False disables SSL verification.
Useful for testing, but not recommended for production due to security risks.

Key Points:

Disabling SSL verification can expose your application to security risks.
Only disable SSL verification in a controlled testing environment.

Practical Tip: Always enable SSL verification in production to ensure secure communication.

9. Custom Authentication

Code Example:

python

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import requests from requests.auth import HTTPBasicAuth response = requests.get('https://httpbin.org/basic-auth/user/pass', auth=HTTPBasicAuth('user', 'pass')) print(response.status_code)

Explanation:

HTTPBasicAuth is used to provide basic authentication credentials.

Key Points:

Basic authentication sends user credentials with each request.
Ensure sensitive information is transmitted securely.

Practical Tip: Use custom authentication to access protected resources, ensuring credentials are handled securely.

10. Using Custom Headers

Code Example:

python

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import requests url = 'https://httpbin.org/headers' headers = {'User-Agent': 'my-app/0.0.1'} response = requests.get(url, headers=headers) print(response.json())

Explanation:

Custom headers can be sent with a request using the headers parameter.

Key Points:

Headers can provide additional information to the server.
Common headers include User-Agent, Authorization, and Content-Type.

Practical Tip: Use custom headers to tailor your requests and provide necessary context or authentication tokens.

11. Parsing XML Responses

Code Example:

python

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Explanation:

ET.fromstring() parses XML content.
Iterating through the XML tree to print tags and text.

Key Points:

XML responses can be parsed using the xml.etree.ElementTree module.
Access elements and attributes using standard XML parsing techniques.

Practical Tip: Use XML parsing to handle responses from APIs that return XML data, such as some legacy systems or specific web services.

12. Handling Redirects

Code Example:

python

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import requests response = requests.get('http://github.com') print(response.url) print(response.history)

Explanation:

response.history contains the list of redirect responses.
response.url is the final URL after all redirects.

Key Points:

Requests automatically follow redirects by default.
response.history helps trace the sequence of redirects.

Practical Tip: Monitor redirects to understand how requests are being routed and ensure you're reaching the intended endpoint.

13. Using Query Parameters

Code Example:

python

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import requests params = {'page': 2, 'count': 10} response = requests.get('https://jsonplaceholder.typicode.com/posts', params=params) print(response.url)

Explanation:

Query parameters can be passed using the params parameter.
params is a dictionary of query parameters.

Key Points:

Query parameters are appended to the URL.
Useful for filtering and paginating results.

Practical Tip: Use query parameters to refine your API requests and retrieve specific data subsets.

14. Downloading Large Files

Code Example:

python

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Explanation:

stream=True enables streaming mode.
iter_content() iterates over the response in chunks.

Key Points:

Streaming is efficient for downloading large files.
Chunked writing prevents high memory usage.

Practical Tip: Stream and save large files in manageable chunks to avoid memory overload.

15. Uploading Large Files

Code Example:

python

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import requests url = 'https://httpbin.org/post' files = {'file': ('large_file.bin', open('large_file.bin', 'rb'), 'application/octet-stream')} response = requests.post(url, files=files) print(response.json())

Explanation:

The files parameter handles file uploads.
Specify the file name, file object, and MIME type.

Key Points:

Uploading large files requires specifying appropriate MIME types.
Ensure files are opened in binary mode for compatibility.

Practical Tip: Upload large files using appropriate MIME types to ensure the server handles them correctly.

16. Using Proxies

Code Example:

python

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import requests proxies = { 'http': 'http://10.10.1.10:3128', 'https': 'http://10.10.1.10:1080', } response = requests.get('https://httpbin.org/ip', proxies=proxies) print(response.json())

Explanation:

The proxies parameter allows requests to go through specified proxy servers.

Key Points:

Proxies can be used for security, caching, or bypassing restrictions.
Ensure proxy settings are correctly configured.

Practical Tip: Use proxies to enhance security, manage traffic, or access restricted content.

17. Custom Timeout Settings

Code Example:

python

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import requests response = requests.get('https://httpbin.org/delay/2', timeout=1) print(response.status_code)

Explanation:

The timeout parameter specifies the maximum time to wait for a response.

Key Points:

Timeouts prevent indefinite waits.
Can be set for both connection and read operations.

Practical Tip: Set appropriate timeouts to ensure your application remains responsive.

18. Session Object Reuse

Code Example:

python

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import requests session = requests.Session() session.headers.update({'User-Agent': 'my-app/0.0.1'}) response = session.get('https://httpbin.org/headers') print(response.json())

Explanation:

requests.Session() creates a session object.
Session headers are persisted across requests.

Key Points:

Reusing session objects can improve performance.
Useful for maintaining state and settings across multiple requests.

Practical Tip: Reuse session objects to optimize performance and manage stateful interactions efficiently.

19. Debugging Requests

Code Example:

python

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import requests import logging logging.basicConfig(level=logging.DEBUG) response = requests.get('https://httpbin.org/get') print(response.text)

Explanation:

logging.basicConfig(level=logging.DEBUG) enables debug logging.
Detailed request and response information is logged.

Key Points:

Debugging provides insights into request/response cycles.
Useful for troubleshooting and optimizing requests.

Practical Tip: Enable debug logging to diagnose issues and ensure your requests are functioning as expected.

20. Advanced Authentication Methods

Code Example:

python

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import requests from requests.auth import HTTPDigestAuth url = 'https://httpbin.org/digest-auth/auth/user/pass' response = requests.get(url, auth=HTTPDigestAuth('user', 'pass')) print(response.status_code)

Explanation:

HTTPDigestAuth provides digest authentication.
More secure than basic authentication.

Key Points:

Digest authentication adds security by hashing credentials.
Use when interacting with APIs that require enhanced security.

Practical Tip: Opt for advanced authentication methods when dealing with sensitive or secure API endpoints.

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