Table of Contents
Sending Multipart/Form-Data with Requests in Python
File Uploads
Form Data Submission
Combining Files and Form Data
Advanced Multipart Support with Requests-Toolbelt
Home Backend Development Python Tutorial How to Send Multipart/Form-Data Requests in Python using Requests and Requests-Toolbelt?

How to Send Multipart/Form-Data Requests in Python using Requests and Requests-Toolbelt?

Dec 26, 2024 am 10:37 AM

How to Send Multipart/Form-Data Requests in Python using Requests and Requests-Toolbelt?

Sending Multipart/Form-Data with Requests in Python

Requests provides the ability to send multipart/form-data requests, allowing for both file uploads and form data submission.

File Uploads

To upload a file, simply specify a key-value pair in the files parameter, where the key is the form field name and the value is an open file object or file path. For instance:

import requests

with open('image.jpg', 'rb') as f:
    file_data = {'image': f}

response = requests.post('http://example.com/upload', files=file_data)
Copy after login

Form Data Submission

To send form data, you can also use the files parameter. However, unlike file uploads, the values are not file objects but strings or bytes.

To specify form data, use a dictionary where the keys are the form field names and the values are the data you want to submit. For example:

form_data = {'username': 'myusername', 'password': 'mypassword'}

response = requests.post('http://example.com/login', files=form_data)
Copy after login

Combining Files and Form Data

You can simultaneously upload files and submit form data by using both the files and data parameters. If data is a string, it will be used instead of files. If data is a dictionary, it will be merged with files.

For instance:

form_data = {'comment': 'Hello, world!'}
file_data = {'image': 'image.jpg'}

response = requests.post('http://example.com/post', data=form_data, files=file_data)
Copy after login

Advanced Multipart Support with Requests-Toolbelt

The requests-toolbelt library provides enhanced multipart support that includes advanced features like:

  • Streaming data uploads
  • Custom filenames and MIME types
  • Extra headers for each part

To use requests-toolbelt, install it via pip install requests-toolbelt and follow these steps:

  1. Import the necessary module:
from requests_toolbelt.multipart.encoder import MultipartEncoder
Copy after login
  1. Create a MultipartEncoder object:
mp_encoder = MultipartEncoder(
    fields={
        'field_name': 'field_value',
        ('file_name', 'file_content', 'file_type'),
        # Other form data fields and files can be added here
    }
)
Copy after login
  1. Make the HTTP request:
headers = {'Content-Type': mp_encoder.content_type}
response = requests.post('http://example.com/post', data=mp_encoder, headers=headers)
Copy after login

By utilizing these methods, you can seamlessly send multipart/form-data requests in Python for both file uploads and form data submission.

The above is the detailed content of How to Send Multipart/Form-Data Requests in Python using Requests and Requests-Toolbelt?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Roblox: Bubble Gum Simulator Infinity - How To Get And Use Royal Keys
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Nordhold: Fusion System, Explained
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Mandragora: Whispers Of The Witch Tree - How To Unlock The Grappling Hook
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1664
14
PHP Tutorial
1269
29
C# Tutorial
1249
24
Python vs. C  : Applications and Use Cases Compared Python vs. C : Applications and Use Cases Compared Apr 12, 2025 am 12:01 AM

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

Python: Games, GUIs, and More Python: Games, GUIs, and More Apr 13, 2025 am 12:14 AM

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python vs. C  : Learning Curves and Ease of Use Python vs. C : Learning Curves and Ease of Use Apr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

Python and Time: Making the Most of Your Study Time Python and Time: Making the Most of Your Study Time Apr 14, 2025 am 12:02 AM

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python vs. C  : Exploring Performance and Efficiency Python vs. C : Exploring Performance and Efficiency Apr 18, 2025 am 12:20 AM

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python: Automation, Scripting, and Task Management Python: Automation, Scripting, and Task Management Apr 16, 2025 am 12:14 AM

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Which is part of the Python standard library: lists or arrays? Which is part of the Python standard library: lists or arrays? Apr 27, 2025 am 12:03 AM

Pythonlistsarepartofthestandardlibrary,whilearraysarenot.Listsarebuilt-in,versatile,andusedforstoringcollections,whereasarraysareprovidedbythearraymoduleandlesscommonlyusedduetolimitedfunctionality.

Learning Python: Is 2 Hours of Daily Study Sufficient? Learning Python: Is 2 Hours of Daily Study Sufficient? Apr 18, 2025 am 12:22 AM

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

See all articles