Get user friends tweepy
Hey there everyone! This is the second article of a list of publications about adquiring data from Twitter and using it to gain certain insights, like the most influential users on a certain trend, topic modelling and much more. If you have not read the first article, you can take a look at it here:. While the previous article discussed how to gather data from Twitter that is being produced on real time, this new article will cover how to collect historical data, like the previous tweets of a certain user, his followers, or his friends. Lets get started!SEE VIDEO BY TOPIC: Twitter API With Python & Tweepy - Data Scraping To Gain More Twitter Followers Fast!
SEE VIDEO BY TOPIC: Tweepy: a Python Library for the Twitter APIContent:
Downloading Data From Twitter Using the REST API
The first step is to become a Twitter developer. For this you need a Twitter account yourself, and to create a new app. You will need the following fields:. This provides a convenient front-end for the Twitter API, giving us easy access without having to venture outside of our Python environment. Now that we have access to the Twitter API, there are a range of different requests we can make. We can use GET to retreive information about any public users or tweets, and even POST to make changes to the account we used to authorize, such as following accounts and making tweets.
All functions of the API are thoroughly documented , so below we will only go over a few examples of the most common tasks. We need to specify either the ID, user ID or screen name of the user, and we can include other options such as the number of statuses to retrieve, the first and last status to be collected, and whether retweets should be included or not. If provided, count limits the number of results returned from the search. Retweets are counted towards your app rate limit.
See the last section on Rate limits and cursor to learn how to handle rate limits and get more tweets using the cursor. Each Status object contains a number of relevant fields, which can be accessed with status. Printing the entire content of the request is not very informative, since it contains a large amount of meta-data. And while it is useful to know how to access particular fields, often what we want is to retrieve all the information and store it somewhere for later processing.
We will therefore write our search output to a file, where each line corresponds to a tweet in. Note that this is one of the fields included in the Status object. We can also get detailed information about an account, such as the account description, number of followers, number of users followed, the date the account was created, location, number of tweets, a link to the profile image, number of favorites, etc.
The output is a User object. We will again save the output object as a. We can get a list of the IDs of the first users following a certain account with api. See the Rate limits and cursor section at the end to find out how to get more than the first users. We can get informaton about the existance of a friendhip between two users a subject user and a target , and other characeristics of the relation with api.
Twitter API rate limits are limiting the number of requests you can make in a certain time frame. Tweepy can help handle these limitations. First, you can set a number of additional parameters in the tweepy.
To handle pagination, Tweepy has the extremely helpful Cursor object. Instead of manually iterating through the pages of a user timeline, we can use the cursor:. Media Effects Research:. Tutorial contents Providing authorization to the Twitter API Collecting tweets Getting information about an account Getting follower IDs Getting the IDs of users being followed by a specified account Getting tweets favorited by a user Getting info on friendship relations Getting retweets of a certain status Rate limits and cursor.
Tweepy is a Python module which you will find in the PyPI repository pip install tweepy This provides a convenient front-end for the Twitter API, giving us easy access without having to venture outside of our Python environment.
API auth. The search returns a list of Status objects. You can get a list of all the field names:. Getting information about a user account We can also get detailed information about an account, such as the account description, number of followers, number of users followed, the date the account was created, location, number of tweets, a link to the profile image, number of favorites, etc.
Getting follower IDs We can get a list of the IDs of the first users following a certain account with api. Getting the IDs of users being followed by a specified account We can also get the IDs of users being followed by the specified user:. Getting tweets favorited by a user We can get a list of tweets favorited by a user:. Getting info on friendship relations We can get informaton about the existance of a friendhip between two users a subject user and a target , and other characeristics of the relation with api.
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The first step is to become a Twitter developer. For this you need a Twitter account yourself, and to create a new app. You will need the following fields:. This provides a convenient front-end for the Twitter API, giving us easy access without having to venture outside of our Python environment.
Using Twitter With Python and Tweepy
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How To Get Twitter Follower Data Using Python And Tweepy
This class provides a wrapper for the API as provided by Twitter. The functions provided in this class are listed below. Returns full Tweet objects for up to tweets per request, specified by the id parameter. Returns the 20 most recent statuses posted from the authenticating user or the user specified. Statuses that are duplicates or too long will be silently ignored.
Here's a very simple introduction to getting started with Tweepy - a Python program which lets you access Twitter. This will work on small computers like the Raspberry Pi. Everything here takes place in the Terminal on the Command Line. This should work on Windows and Mac - but I'm using Linux.
Comment 0. Python has several packages that you can use to interact with Twitter. These packages can be useful for creating Twitter bots or for downloading large amounts of data for offline analysis. You will learn how to use Tweepy with Twitter in this article.
A few people asked that I share the tools used to perform that research. Once a full set of Twitter User objects has been obtained, we can perform analysis on it. First up: realDonaldTrump. Age ranges of new accounts following realDonaldTrump. Age ranges of new accounts following niinisto.