In addition to allow me to get some pictures for my future talks, this shows how to use some of the functionality of the Twitter API using the tweetpy library. I think this blogpost shows a very simple, yet quite powerful, functionality to download pictures from a Twitter account. More advance solutions could create a new folder and move the files there, as well as filter them by their specific type (image, video, audio,…). This will download all the images (or any other multimedia content) into the current folder. At this stage, we have the urls of all the multimedia content stored in the variable media_files.ĭownloading files can be easily achieved in python using the wget library: All these assumptions are agreeable for my purposes and this blogpost. Therefore, we can get the url of any multimedia content such as images or videos. This implementation assumes that either each tweet has only one media attachment or we only care about the first one. This is probably easier to understand in code: After this, we can access the url of each one of the specific media attachments with media_url. In order to do this we need to understand the return of the user_timeline call, and the way the API deals with entities. We should explore the field media to see any multimedia content within a tweet. We have all the tweets (actually the maximum the API supports is 3,200) by a given user and we want to filter those tweets which contain a media file.
#Python download image full
Now, we are ready to filter those with images.Ģ. Obtaining the full path for the images
#Python download image code
This code stores all the tweets by a specific user in the variable tweets. More_tweets = api.user_timeline(screen_name=username, This is explained in detail in this documentation about Working with Timelines, and it is represented by the following code: As a result, we will receive 200 tweets that are older than the one we specified. For this reason, Twitter API uses cursoring, where we can specify the id of the most recent tweet we want to receive. This type of problem is usually solved with pagination however, the real-time characteristic of Twitter makes this approach unusable. However, it doesn’t allow to get more than 200 of them. This very simple code provides us with the last tweets from an account (mine in this case). Tweets = api.user_timeline(screen_name='miguelmalvarez', In our case, we want 200 tweets which are directly created by the user (i.e., No retweets nor replies): It also allows more fine grained filtering such as including retweets or replies. Listing all the tweets from a given user can be done using the method user_timeline, which allows us to specify the screen_name (i.e., twitter anchor) and the number of tweets we want to get (to a maximum of 200).
# User() is the data model for a user profil For the sake of completion, the code used for this purpose is illustrated below, but I encourage you to visit the original post for a detailed explanation.
Marco’s post explains very well how to register a Twitter app, a necessary step to be able to use the Twitter API, and how to set up tweepy to return json format. I hope you find it useful, I definitely have… These two events together seemed like a good excuse to build a little tool in python to download the pictures that a twitter account has published and this is the main focus of this post. Almost at the same time, I was reading a blogpost about mining twitter data with python, written by my good friend and ex-colleague (in Queen Mary), Dr. Although we have some of them store online, I realised that our Twitter account had some of the best pictures, especially for the early days of the company. I have been preparing a couple of talks I have to give in the next couple of weeks and I needed some pictures of the people working in Signal to have some nice images about the team and the company in general.