Twitter API v2 is not currently covered by tweepy v3. I'll go with Standard v1.1 in the example flow below. Tweepy's functionality provides the following features in line with the Twitter API: For an application, the limit is 300 requests 9 at a certain time. The maximum number of requests allowed for Twitter API v2 and Standard v1.1 is 900 requests/15 minutes for an endpoint. It is possible to access events and share automatically 3 4 5 6 7 8. You can quickly list the posts on certain topics or by users (up to 20 most relevant for timeline, up to 100 (re)tweets for each query for id), user, and user. The library can easily install with the pip install tweepy command. Tweepy is one of the popular Python libraries developed for Twitter API operations 2. So, I've decided to pick Python and its tweepy library. On this page, there are many options that vary in terms of features, prepared with many programming languages such as JavaScript, Go, Python, Lua, Julia, R, and Ruby. You should get the most recent 200 tweets from the handle you entered.I reached the Tools and Libraries page shared by Twitter and examined the solutions that can be used 1. However, keep in mind that the more data you retrieve, the slower the program will run.įinally, enter the following lines to display the results (note that if you are using Jupyter Notebook, the indentation should be inserted automatically if you end the first line with a colon and press Enter): You can switch the tweet count to whatever number you want. The extra stuff inside the parentheses here limits the tweets retrieved to 200 and ensures that retweets are not retrieved. Statuses = twitter_api.GetUserTimeline(screen_name=handle, count=200, include_rts=False) Handle = '[Twitter handle of the user you want to retrieve tweets from, without use the API to retrieve the tweets: First, choose a handle from which to pull the tweets and then enter/execute the following line in a new cell: Try accessing the last 200 tweets from a particular user. Now that you have access, you can pull various information from Twitter. Twitter_api = twitter.Api(consumer_key=twitter_consumer_key, consumer_secret=twitter_consumer_secret, access_token_key=twitter_access_token, access_token_secret=twitter_access_secret) Copy and paste the following line into a new cell, then execute: Now send this information along to Twitter to gain access to the API. In a new cell, enter the following lines (with your own information filled in where indicated by brackets), then execute: They are probably hard to remember, so give them a recognizable name. To gain access to the Twitter API, you'll need those Twitter credentials you retrieved earlier. This should open a new tab with your new notebook loaded. We are interested in creating a notebook that we can use to request and work with API data, so navigate to a place where you want to store your notebook and then click “New” -> “Python 3”. Using this interface, you can browse through your files and open existing Python files or create new ones. You should see a list of your files and folders at the “home” location on your computer. Right-click this URL and select “copy link address”, then simply paste it into your browser’s address bar and hit Enter. Note: if the browser opens to a page requesting a token, go back to your command line window and find the line that says “Copy/paste this URL into your browser when you connect for the first time, to login with a token:” followed by a strange-looking URL. This “website” is actually the Jupyter interface. Some stuff should appear in the command line window, and then your default web browser should pop up and begin loading what appears to be a website. Use the already open command line and type:Īnd press enter. Once everything is installed, you should be able to open a Jupyter Notebook. Also, make sure you are installing the full Anaconda package and not the “Miniconda” version, which doesn’t include any libraries. Unless you have a specific reason not to, you should install the version that includes the latest version of Python. To install Anaconda, go to the website and follow the installation instructions for your operating system. Its necessary to install Jupyter Notebook as an interface to use Python Data, Datasets, & Statistical Resources Guide This link opens in a new window.Consider Alternative Twitter API Tools (Instead of Python).Consider Limitations of Twitter API Data.NCompass Street Centerline Dataset (GIS).IFS (International Financial Statistics).CEDDS (Complete Economic and Demographic Data Source).
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