Send Http Request Python
GET and POST requests using Python – GeeksforGeeks
This post discusses two HTTP (Hypertext Transfer Protocol) request methods GET and POST requests in Python and their implementation in is HTTP? HTTP is a set of protocols designed to enable communication between clients and servers. It works as a request-response protocol between a client and server. A web browser may be the client, and an application on a computer that hosts a web site may be the, to request a response from the server, there are mainly two methods:GET: to request data from the: to submit data to be processed to the is a simple diagram which explains the basic concept of GET and POST, to make HTTP requests in python, we can use several HTTP libraries like:liburllibrequestsThe most elegant and simplest of above listed libraries is Requests. We will be using requests library in this article. To download and install Requests library, use following command:pip install requestsOR, download it from here and install a Get requestimport requestslocation = “delhi technological university”PARAMS = {‘address’:location}r = (url = URL, params = PARAMS)data = ()latitude = data[‘results’][0][‘geometry’][‘location’][‘lat’]longitude = data[‘results’][0][‘geometry’][‘location’][‘lng’]formatted_address = data[‘results’][0][‘formatted_address’]print(“Latitude:%s\nLongitude:%s\nFormatted Address:%s”%(latitude, longitude, formatted_address))Output:The above example finds latitude, longitude and formatted address of a given location by sending a GET request to the Google Maps API. An API (Application Programming Interface) enables you to access the internal features of a program in a limited fashion. And in most cases, the data provided is in JSON(JavaScript Object Notation) format (which is implemented as dictionary objects in Python! ). Important points to infer:PARAMS = {‘address’:location}The URL for a GET request generally carries some parameters with it. For requests library, parameters can be defined as a dictionary. These parameters are later parsed down and added to the base url or the understand the parameters role, try to print after the response object is created. You will see something like this: is the actual URL on which GET request is mader = (url = URL, params = PARAMS)Here we create a response object ‘r’ which will store the request-response. We use () method since we are sending a GET request. The two arguments we pass are url and the parameters = ()Now, in order to retrieve the data from the response object, we need to convert the raw response content into a JSON type data structure. This is achieved by using json() method. Finally, we extract the required information by parsing down the JSON type a POST requestimport requestsAPI_KEY = “XXXXXXXXXXXXXXXXX”source_code = data = {‘api_dev_key’:API_KEY, ‘api_option’:’paste’, ‘api_paste_code’:source_code, ‘api_paste_format’:’python’}r = (url = API_ENDPOINT, data = data)pastebin_url = r. textprint(“The pastebin URL is:%s”%pastebin_url)This example explains how to paste your source_code to by sending POST request to the PASTEBIN of all, you will need to generate an API key by signing up here and then access your API key portant features of this code:data = {‘api_dev_key’:API_KEY,
‘api_option’:’paste’,
‘api_paste_code’:source_code,
‘api_paste_format’:’python’}Here again, we will need to pass some data to API server. We store this data as a dictionary. r = (url = API_ENDPOINT, data = data)Here we create a response object ‘r’ which will store the request-response. We use () method since we are sending a POST request. The two arguments we pass are url and the data stebin_url = response, the server processes the data sent to it and sends the pastebin URL of your source_code which can be simply accessed by. method could be used for many other tasks as well like filling and submitting the web forms, posting on your FB timeline using the Facebook Graph API, are some important points to ponder upon:When the method is GET, all form data is encoded into the URL, appended to the action URL as query string parameters. With POST, form data appears within the message body of the HTTP GET method, the parameter data is limited to what we can stuff into the request line (URL). Safest to use less than 2K of parameters, some servers handle up to such problem in POST method since we send data in message body of the HTTP request, not the ASCII characters are allowed for data to be sent in GET is no such restriction in POST is less secure compared to POST because data sent is part of the URL. So, GET method should not be used when sending passwords or other sensitive blog is contributed by Nikhil Kumar. If you like GeeksforGeeks and would like to contribute, you can also write an article using or mail your article to See your article appearing on the GeeksforGeeks main page and help other write comments if you find anything incorrect, or you want to share more information about the topic discussed above.
Python Request: Get & Post HTTP & JSON … – DataCamp
Learn about the basics of HTTP and also about the request library in Python to make different types of requests.
Check out DataCamp’s Importing Data in Python (Part 2) course that covers making HTTP requests.
In this tutorial, we will cover how to download an image, pass an argument to a request, and how to perform a ‘post’ request to post the data to a particular route. Also, you’ll learn how to obtain a JSON response to do a more dynamic operation.
HTTP
Libraries in Python to make HTTP Request
Request in Python
Using GET Request
Downloading and Saving an image using the Request Module
Passing Argument in the Request
Using POST Request
JSON Response
HTTP stands for the ‘HyperText Transfer Protocol, ‘ where communication is possible by request done by the client and the response made by the server.
For example, you can use the client(browser) to search for a ‘dog’ image on Google. Then that sends an HTTP request to the server, i. e., a place where a dog image is hosted, and the response from the server is the status code with the requested content. This is a process also known as a request-response cycle.
You can also look at this article, What is HTTP for a more detailed explanation.
There are many libraries to make an HTTP request in Python, which are lib, urllib, lib2, treq, etc., but requests are the simplest and most well-documented libraries among them all.
You’ll be using the request library for this tutorial and the command for doing this is below:
pip install requests
According to Wikipedia, “requests are a Python HTTP library, released under the Apache2 License. The goal of the project is to make HTTP requests simpler and more human-friendly. The current version is 2. 22. 0″
GET request is the most common method and is used to obtain the requested data from the specific server.
You need to import the required modules in your development environment using the following commands:
import requests
You can retrieve the data from the specific resource by using ‘(‘specific_url’)’, and ‘r’ is the response object.
r (”)
Status Code
According to Wikipedia, “Status codes are issued by a server in response to a client’s request made to the server. “. There are lots of other status codes and detailed explanations that can be found here: HTTP Status Code.
However, the two most common status code is explained below:
atus_code
You can see below after running the above code the status code is ‘200’ which is ‘OK, ‘ and a request is successful.
You can view the response headers by using ‘. headers. ‘ where it returns the Python Dictionaries. They return a lot of additional information containing the case insensitive name with resources types along with the server name, version, etc., and are also included with the code shown below.
r. headers
The vital information obtained in the above code is the Server name as ‘Apache’, content type, Encoding, etc.
r. headers[‘Content-Type’]
You can see above the type of content of the header by using ‘content-type’ which is case insensitive, and ‘Content-Type’ would also give the same result as below.
Response Content
You can get the HTML text of a page by using ” where the request can decode any content automatically from the server, and it is in a Unicode form with the code below:
You can get an entire page of HTML and parsing can be done by the help of HTML parser.
‘\r\n\r\n\r\n
How to Use the Python Requests Module With REST APIs
Learn how to use the Python Requests module to interact with any REST API in the world.
Ben Lloyd Pearson | June 11, 2020
The clear, simple syntax of Python makes it an ideal language to interact with REST APIs, and in typical Python fashion, there’s a library made specifically to provide that functionality:. Python Requests is a powerful tool that provides the simple elegance of Python to make HTTP requests to any API in the world. At Nylas, we built our REST APIs for email, calendar, and contacts on Python, and we process over 500 million API requests a day, so naturally, we depend a ton on the Python Requests library.
In this guide, we’ll take a comprehensive look at making HTTP requests with Python Requests and learn how to use this functionality to integrate with REST a PDF of this article? Share it with a friend or save it for later reading.
Contents:
The roles of HTTP, APIs, and REST
How to use Python Requests with REST APIs
How to authenticate to a REST API
How to handle HTTP errors with Python Requests
How to make robust API Requests
The Roles of HTTP, APIs, and REST
An Application Programming Interface (API) is a web service that grants access to specific data and methods that other applications can access – and sometimes edit – via standard HTTP protocols, just like a website. This simplicity makes it easy to quickly integrate APIs into a wide variety of applications. REpresentational State Transfer (REST), is probably the most popular architectural style of APIs for web services. It consists of a set of guidelines designed to simplify client / server communication. REST APIs make data access much more straightforward and logical.
The Request
When you want to interact with data via a REST API, this is called a request. A request is made up of the following components:
Endpoint – The URL that delineates what data you are interacting with. Similar to how a web page URL is tied to a specific page, an endpoint URL is tied to a specific resource within an API.
Method – Specifies how you’re interacting with the resource located at the provided endpoint. REST APIs can provide methods to enable full Create, Read, Update, and Delete (CRUD) functionality. Here are common methods most REST APIs provide:
GET – Retrieve data
PUT – Replace data
POST – Create data
DELETE – Delete data
Data – If you’re using a method that involves changing data in a REST API, you’ll need to include a data payload with the request that includes all data that will be created or modified.
Headers – Contain any metadata that needs to be included with the request, such as authentication tokens, the content type that should be returned, and any caching policies.
The Response
When you perform a request, you’ll get a response from the API. Just like in the request, it’ll have a response header and response data, if applicable. The response header consists of useful metadata about the response, while the response data returns what you actually requested. This can be any sort of data, as it’s really dependent on the API. The text is usually returned as JSON, but other markdown languages like XML are also possible.
Let’s look at a simple example of a request and a response. In the terminal, we’ll use curl to make a GET request to the Open Notify API. This is a simple, yet nifty API that has information about astronauts that are currently in space:
curl -X GET ”
You should see a response in JSON format that lists data about these astronauts, at the time of this article there are three people on a historic trip to the International Space Station:
{
“number”: 3,
“message”: “success”,
“people”: [
“craft”: “ISS”,
“name”: “Chris Cassidy”},
“name”: “Anatoly Ivanishin”},
“name”: “Ivan Vagner”}]}
How to Use Python Requests with REST APIs
Now, let’s take a look at what it takes to integrate with a REST API using Python Requests. First, you’ll need to have the necessary software; make sure you have Python and pip installed on your machine. Then, head over to the command line and install the python requests module with pip:
pip install requests
Now you’re ready to start using Python Requests to interact with a REST API, make sure you import the Requests library into any scripts you want to use it in:
import requests
How Request Data With GET
The GET method is used to access data for a specific resource from a REST API; Python Requests includes a function to do exactly this.
response = (“)
print(response)
>>>> Response<200>
The response object contains all the data sent from the server in response to your GET request, including headers and the data payload. When this code example prints the response object to the console it simply returns the name of the object’s class and the status code the request returned (more on status codes later).
While this information might be useful, you’re most likely interested in the content of the request itself, which can be accessed in a few ways:
ntent() # Return the raw bytes of the data payload
() # Return a string representation of the data payload
() # This method is convenient when the API returns JSON
How to Use Query Parameters
Queries can be used to filter the data that an API returns, and these are added as query parameters that are appended to the endpoint URL. With Python Requests, this is handled via the params argument, which accepts a dictionary object; let’s see what that looks like when we use the Open Notify API to GET an estimate for when the ISS will fly over a specified point:
query = {‘lat’:’45’, ‘lon’:’180′}
response = (”, params=query)
print(())
The print command would return something that looks like this:
‘message’: ‘success’,
‘request’: {
‘altitude’: 100,
‘datetime’: 1590607799,
‘latitude’: 45. 0,
‘longitude’: 180. 0,
‘passes’: 5},
‘response’: [
{‘duration’: 307, ‘risetime’: 1590632341},
{‘duration’: 627, ‘risetime’: 1590637934},
{‘duration’: 649, ‘risetime’: 1590643725},
{‘duration’: 624, ‘risetime’: 1590649575},
{‘duration’: 643, ‘risetime’: 1590655408}]}
How to Create and Modify Data With POST and PUT
In a similar manner as the query parameters, you can use the data argument to add the associated data for PUT and POST method requests.
# Create a new resource
response = (”, data = {‘key’:’value’})
# Update an existing resource
(”, data = {‘key’:’value’})
How to Access REST Headers
You can also retrieve metadata from the response via headers. For example, to view the date of the response, just specify that with the `headers` property:
print(response. headers[“date”])
>>>> ‘Wed, 11 June 2020 19:32:24 GMT’
For open APIs, that covers the basics. However, many APIs can’t be used by just anyone. For those, let’s go over how to authenticate to REST APIs.
How to Authenticate to a REST API
So far you’ve seen how to interact with open REST APIs that don’t require any authorization. However, many REST APIs require you to authenticate to them before you can access specific endpoints, particularly if they deal with sensitive data.
There are a few common authentication methods for REST APIs that can be handled with Python Requests. The simplest way is to pass your username and password to the appropriate endpoint as HTTP Basic Auth; this is equivalent to typing your username and password into a website.
(
”,
auth=HTTPBasicAuth(‘username’, ‘password’))
A more secure method is to get an access token that acts as an equivalent to a username/password combination; the method to get an access token varies widely from API to API, but the most common framework for API authentication is OAuth. Here at Nylas, we use three-legged OAuth to grant an access token for user accounts that is restricted to scopes that define the specific data and functionality that can be accessed. This process is demonstrated in the Nylas Hosted Auth service.
Once you have an access token, you can provide it as a bearer token in the request header: this is the most secure way to authenticate to a REST API with an access token:
my_headers = {‘Authorization’: ‘Bearer {access_token}’}
response = (”, headers=my_headers)
There are quite a few other methods to authenticate to a REST API, including digest, Kerberos, NTLM, and AuthBase. The use of these depends on the architecture decisions of the REST API producer.
Use Sessions to Manage Access Tokens
Session objects come in handy when working with Python Requests as a tool to persist parameters that are needed for making multiple requests within a single session, like access tokens. Also, managing session cookies can provide a nice performance increase because you don’t need to open a new connection for every request.
session = ssion()
({‘Authorization’: ‘Bearer {access_token}’})
response = (”)
How to Handle HTTP Errors With Python Requests
API calls don’t always go as planned, and there’s a multitude of reasons why API requests might fail that could be the fault of either the server or the client. If you’re going to use a REST API, you need to understand how to handle the errors they output when things go wrong to make your code more robust. This section covers everything you need to know about handling HTTP errors with Python Requests.
The Basics of HTTP Status Codes
Before we dive into the specifics of Python Requests, we first need to take a step back and understand what HTTP status codes are and how they relate to errors you might encounter.
All status codes fall into one of five categories.
1xx Informational – Indicates that a request has been received and that the client should continue to make the requests for the data payload. You likely won’t need to worry about these status codes while working with Python Requests.
2xx Successful – Indicates that a requested action has been received, understood, and accepted. You can use these codes to verify the existence of data before attempting to act on it.
3xx Redirection – Indicates that the client must make an additional action to complete the request like accessing the resource via a proxy or a different endpoint. You may need to make additional requests, or modify your requests to deal with these codes.
4xx Client Error – Indicates problems with the client, such as a lack of authorization, forbidden access, disallowed methods, or attempts to access nonexistent resources. This usually indicates configuration errors on the client application.
5xx Server Error – Indicates problems with the server that provides the API. There are a large variety of server errors and they often require the API provider to resolve.
How to Check for HTTP Errors With Python Requests
The response objects has a status_code attribute that can be used to check for any errors the API might have reported. The next example shows how to use this attribute to check for successful and 404 not found HTTP status codes, and you can use this same format for all HTTP status codes.
if (atus_code == 200):
print(“The request was a success! “)
# Code here will only run if the request is successful
elif (atus_code == 404:
print(“Result not found! “)
# Code here will react to failed requests
To see this in action, try removing the last letter from the URL endpoint, the API should return a 404 status code.
If you want requests to raise an exception for all error codes (4xx and 5xx), you can use the raise_for_status() function and catch specific errors using Requests built-in exceptions. This next example accomplishes the same thing as the previous code example.
try:
response. raise_for_status()
# Additional code will only run if the request is successful
except TPError as error:
print(error)
# This code will run if there is a 404 error.
TooManyRedirects
Something that is often indicated by 3xx HTTP status codes is the requirement to redirect to a different location for the resource you’re requesting. This can sometimes result in a situation where you end up with an infinite redirect loop. The Python Requests module has the TooManyRedirects error that you can use to handle this problem. To resolve this problem, it’s likely the URL you’re using to access the resource is wrong and needs to be changed.
except oManyRedirects as error:
You can optionally use the request options to set the maximum number of redirects:
response = (”, max_redirects=2)
Or disable redirecting completely within your request options:
response = (”, allow_redirects=False)
ConnectionError
So far, we’ve only looked at errors that come from an active server. What happens if you don’t receive a response from the server at all? Connection errors can occur for many different reasons, including a DNS failure, refused connection, internet connectivity issues or latency somewhere in the network. Python Requests offers the ConnectionError exception that indicates when your client is unable to connect to the server.
except nnectionError as error:
This type of error might be temporary, or permanent. In the former scenario, you should retry the request again to see if there is a different result. In the latter scenario, you should make sure you’re able to deal with a prolonged inability to access data from the API, and it might require you to investigate your own connectivity issues.
Timeout
Timeout errors occur when you’re able to connect to the API server, but it doesn’t complete the request within the allotted amount of time. Similar to the other errors we’ve looked at, Python Requests can handle this error with a Timeout exception:
response = (”, timeout=0. 00001)
except requests. Timeout as error:
In this example, the timeout was set as a fraction of a second via the request options. Most APIs are unable to respond this quickly, so the code will produce a timeout exception. You can avoid this error by setting longer timeouts for your script, optimizing your requests to be smaller, or setting up a retry loop for the request. This can also sometimes indicate a problem with the API provider. One final solution is to incorporate asynchronous API calls to prevent your code from stopping while it waits for larger responses.
How to Make Robust API Requests
As we’ve seen, the Requests module elegantly handles common API request errors by utilizing exception handling in Python. If we put all of the errors we’ve talked about together, we have a rather seamless way to handle any HTTP request error that comes our way:
response = (”, timeout=5)
except TPError as errh:
print(errh)
except nnectionError as errc:
print(errc)
except requests. exceptions. Timeout as errt:
print(errt)
except questException as err:
print(err)
If you’ve made it this far, congrats! You’re well on your way to becoming a Python Requests wizard for whom no REST API is too great a match. Want to keep learning? We have tons of knowledgable Python experts here at Nylas, and we have in-depth content on our blog about packaging and deploying Python code to production, and using environment variables to make your Python code more secure.
Ben Lloyd Pearson
Ben is the Developer Advocate for Nylas. He is a triathlete, musician, avid gamer, and loves to seek out the best breakfast tacos in Austin, Texas.
Frequently Asked Questions about send http request python
How do I send a HTTP request in Python?
An HTTP client sends an HTTP request to a server in the form of a request message which includes following format:A Request-line.Zero or more header (General|Request|Entity) fields followed by CRLF.An empty line (i.e., a line with nothing preceding the CRLF) indicating the end of the header fields.More items…
How do I send a HTTP request?
You’ll want to adapt the data you send in the body of your request to the specified URL. Syntax: requests. post(url, data={key: value}, json={key: value}, headers={key:value}, args) *(data, json, headers parameters are optional.)Sep 7, 2021
How do you send a HTTP request with a header in Python?
Python requests reading a web page The get() method issues a GET request; it fetches documents identified by the given URL. The script grabs the content of the www.webcode.me web page. The get() method returns a response object. The text attribute contains the content of the response, in Unicode.Jul 6, 2020
