How To Process Incoming Request Data in Flask
Last Updated :
26 Apr, 2025
In this article, we will learn how we can use the request object in a flask to process Incoming request data that is passed to your routes and How To Process incoming Request Data in Flask using Python. Flask has some functionality like tools, libraries, and technologies that allow you to build a web application, and Web applications frequently require processing incoming Data requests from users.
Process Incoming Request Data in Flask
To perform Process Incoming Request Data in a Flask Application we will use some request properties that received the data in an efficient way, for that we will create the routes and call the requested property.
- Accesses the Query String
- Accesses the Form Data.
- Returned the JSON data.
Accesses the Query String Parameter
So start with the Request object the thing is that you know about the Request object that contains everything incoming into your endpoint. so basically it contains the incoming data, referrer, IP Address, raw data, and HTTP method and also contains a header.
Step 1: So, firstly we will import the Flask module that is essential for completion to process incoming request data. Now we call the Flask-Application flask constructor call the name of the current module (__name__) as an argument.
Python3
from flask import Flask, request
app = Flask(__name__)
Step 2: Now we'll just modify the line of code and going to allow the route to read in any of the query parameters, for that use the request object and call the args.get and pass get. we will make an HTML header tag.
Python3
# code
from flask import Flask,request
@app.route('/query_example')
def query_example():
language = request.args.get('language')
return '<h1> The Language is : {GeeksForGeeks} </h1>'.format(language)
if __name__ == '__main__':
app.run(debug=True, port=5000)
Output:
http://127.0.0.1:5000/query_example?language=python
Create the key 'language' and value as 'python'
Â
Step 3: Now just implement the code in the query_example() function
Python3
# code
def query_example():
language = request.args.get('language')
framework = request.args['framework']
website = request.args.get('website')
return '''<h1> The Language is : {} </h1>
<h1> The framework is : {} </h1>
<h1> The website is : {} </h1>'''
.format(language,framework, website)
Output:
http://127.0.0.1:5000/query_example?language=PHP&framework=Flask&website=flask.org
Create a key 'framework' & 'website' and their value as 'Flask' & 'flask.org'
 Accesses the Form Data
Step 1: Now we will use the form example here with the POST method and create the web form on a browser, for performing that we need to create a route and function. And remaining code as it is the same, following the line of code.
Python3
# create route for form and function.
@app.route('/form_example')
def form_example():
return '''<form method="POST" action="">
Language <input types="text" name="language">
Framework <input type="text" name="framework">
<input type="submit">
</form>'''
Output:
http://127.0.0.1:5000/form_example
Â
Step 2: Â So let's fill the form in the language we write Python and in the framework, by submitting the form we are able to read the foreign data in post request and display it to the user. Now we will use the POST and GET methods as well as conditions, to show the language and which framework we are using.
Python3
# use the POST and GET method for creative form.
@app.route('/form_example', methods=['POST', 'GET'])
def form_example():
if request.method == 'POST':
language = request.form.get('language')
framework = request.form['framework']
return
'<h1> The language is {}.\
The framework is {}.</h1>'.format(language, framework)
return '''<form method="POST" action="">
Language <input types="text" name="language">
Framework <input type="text" name="framework">
<input type="submit">
</form>'''
Output:
 Accesses the JSON Data
Step 1: Now we take the JSON data which is normally constructed by a process that calls the route.Â
Python3
# create the route for call JSON Data
@app.route('/json_example')
def json_example():
return 'Hey GeeksForGeeks'
Output:
http://127.0.0.1:5000/json_example
Â
Step 2: Now for performing the JSON data we need the tool 'Postman' which performance is automated. After then you have to just copy the browser JSON data link and paste it into postman.
Â
Step 3: Now, we will sync some data over to Flask through Postman, change the data to row and change the type to JSON application after then we will create a JSON object in postman.
{
  "language" : "Python",
  "framework" : "Flask",
  "website" : "scotch",
  "version_info" : {
    "python" : 3.7,
    "flask" : 1.0
  },
  "example" : [ "query", "form", "json"],
  "boolean_test" : true
}
Â
Step 4: Now here we will implement the JSON code and add all the JSON Object code in the Python file.
Python3
# code
@app.route('/json_example', methods=['POST'])
def json_example():
req_data = request.get_json()
language = req_data['language']
framework = req_data['framework']
python_version = req_data['version_info']['python']
example = req_data['example'][0]
boolean_test = req_data['boolean_test']
return '''<h1>
The language value is {}.
The framework value is {}.
The python version is {}.
The example at 0 index is {}.
The boolean value is {}.
</h1>'''.format(language, framework, python_version, example, boolean_test)
Output:
Â
Similar Reads
Get the Data Received in a Flask request
In this article, we will learn how we can use the request object in a flask to Get the Data Received that is passed to your routes. and How To Process Get Request Data in Flask using Python. So, basically, Flask is a web development framework written in Python, and flask is widely used as a web fram
6 min read
How to Obtain Values of Request Variables in Flask
In this article, we will see how to request the query arguments of the URL and how to request the incoming form data from the user into the flask. In a flask, to deal with query strings or form data, we use Request variables. For example, a query string may look like this: google.com/search?q=python
4 min read
How to get JSON data from request in Django?
Handling incoming JSON data in Django is a common task when building web applications. Whether you're developing an API or a web service, it's crucial to understand how to parse and use JSON data sent in requests. In this article, we will create a simple Django project to demonstrate how to retrieve
2 min read
How to Change Port in Flask app
In this article, we will learn to change the port of a Flask application. The default port for the Flask application is 5000. So we can access our application at the below URL. http://127.0.0.1:5000/ We may want to change the port may be because the default port is already occupied. To do that we ju
1 min read
How to return a JSON response from a Flask API ?
Flask is one of the most widely used python micro-frameworks to design a REST API. In this article, we are going to learn how to create a simple REST API that returns a simple JSON object, with the help of a flask. Prerequisites: Introduction to REST API What is a REST API? REST stands for Represent
3 min read
How to create CSV output in Flask?
In this article, we will see how to create a CSV output using Flask. Python and Flask Web Frameworks provide powerful tools to generate a report, export data and create catalogs. We will see how to generate both CSV files using Python and Flask. Creating CSV files in Python FlaskStep 1: Installation
3 min read
Flask Tutorial for Data Science
Flask is a lightweight Python web framework that helps data scientists turn models and analysis into interactive web applications. This tutorial covers how to use Flask for deploying machine learning models, building APIs, and creating data visualization dashboards. You'll learn how to set up Flask,
14 min read
How to use Flask-Session in Python Flask
Sessions in Flask store user-specific data across requests, like login status, using cookies. Data is stored on the client side but signed with a secret key to ensure security. They help maintain user sessions without requiring constant authentication.This article demonstrates how to implement serve
4 min read
How to Install Flask in Kaggle
Flask is a lightweight web framework for Python that is commonly used for building web applications and APIs. Although Kaggle is primarily focused on data science and machine learning, we may still want to install Flask in a Kaggle notebook for purposes such as developing and testing web services or
3 min read
How to Install Requests in Kaggle
The Requests library is a simple yet powerful tool for making HTTP requests in Python. It is widely used for sending HTTP requests, interacting with web APIs, and scraping data. While the Kaggle environment typically comes pre-installed with popular libraries like Requests, there might be cases wher
2 min read