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). Clean those with images and get their full path.Just to reiterate our goal, we want to get all the pictures that have been published by a specific twitter user. # You need to do it for all the models you needĪuth = OAuthHandler(consumer_key, consumer_secret)Īuth.set_access_token(access_token, access_secret)Īfter this point, we can access the Twitter API in a pythonic way using the variable api which simplifies the coding process greatly, while producing more readable and elegant code. # 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.
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