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A comprehensive guide on using the Twitter API to fetch user details, including username and follower metrics, when querying tweets based on keywords.
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How to Retrieve Twitter Username and Followers Count using Twitter API

If you're diving into the world of Twitter data analysis, you might find yourself asking a crucial question: How can I extract a Twitter user's username and follower metrics while querying tweets based on specific keywords? You may already be using the Twitter Search API effectively to pull tweets, but getting additional user details can be a bit tricky. In this guide, we'll guide you through enhancing your existing Twitter API request to access usernames, follower counts, and more.

Understanding the Problem

You've set up a basic Twitter Search API call that retrieves tweets based on a keyword. However, you can currently only obtain the author's ID. To make the data richer and more informative, you'd like to access the following user information:

Author Username: The Twitter handle of the user.

Author Name: The full display name of the user.

Number of Followers: How many followers the author has.

Number of Followings: The count of users the author is following.

Enhancing Your Twitter API Request

You're on the right path with your existing code, but there are a few enhancements you need to make. Let’s break it down step by step:

Step 1: Update Your User Fields

First, you'll need to include the necessary fields in your query for satisfactory user details. Update your user_fields to include description, username, and public_metrics as shown below:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Include Expansions in the API Call

Next, ensure you're including the expansions parameter in your API call. This allows you to fetch additional user details through the user ID you get from each tweet. Your URL should now look like this:

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Access the User Information

After making the API call, the user information isn't directly returned in the tweet data. Instead, it's nested within a second array called includes.

To access the user details, modify your code to print out both the data and includes like so:

[[See Video to Reveal this Text or Code Snippet]]

Step 4: Match Users with Their Tweets

You'll now need to correlate the tweet data with user details. Each tweet object contains an author_id, which you can match against the id in the user object within the includes data.

Here’s a simplified example of how you might do this:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By following these steps, you’ll be able to enrich your tweet data with essential user information like the author's username, the number of followers, and more. This added context can significantly enhance your analysis and understanding of Twitter interactions.

If you're interested in automating this process further or handling the data in a more sophisticated way, consider looking into tools like twarc, which can simplify working with Twitter API data.

Happy coding, and may your Twitter data pulls be ever fruitful!