Skip to content
Related Articles

Related Articles

Improve Article

Python – API.media_upload() in Tweepy

  • Last Updated : 11 Jun, 2020

Twitter is a popular social network where users share messages called tweets. Twitter allows us to mine the data of any user using Twitter API or Tweepy. The data will be tweets extracted from the user. The first thing to do is get the consumer key, consumer secret, access key and access secret from twitter developer available easily for each user. These keys will help the API for authentication.


The media_upload() method of the API class in Tweepy module is used to upload a media object to Twitter.

Syntax : API.media_upload(filename, file)

Parameters :

  • filename : path of the media file to be uplaoded.
  • file : a file object to be uploaded.

Returns : an object of class Media

Example 1 :

# import the module
import tweepy
# assign the values accordingly
consumer_key = ""
consumer_secret = ""
access_token = ""
access_token_secret = ""
# authorization of consumer key and consumer secret
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
# set access to user's access key and access secret 
auth.set_access_token(access_token, access_token_secret)
# calling the api 
api = tweepy.API(auth)
# the name of the media file
filename = "gfg.png"
# upload the file
media = api.media_upload(filename)
# printing the information
print("The media ID is : " + media.media_id_string)
print("The size of the file is : " + str(media.size) + " bytes")

Output :

The media ID is : 1270554007983910912
The size of the file is : 3346 bytes

Example 2 : Finding the dimensions of the image file using the media_upload() method.

# the name of the media file
filename = "gfg.png"
# upload the file
media = api.media_upload(filename)
# printing the dimensions
print("The width is : " + str(media.image['w']) + " pixels.")
print("The height is : " + str(media.image['h']) + " pixels.")

Output :

The width is : 225 pixels.
The height is : 225 pixels.

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up
Recommended Articles
Page :