To use this API you will need to enter a username to get full information about any Twitter user.

The X Profile Data API allows users to access and manage user profile information on the Twitter platform.

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Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.

X Profile Data API returns a variety of detailed information about user profiles, including usernames, avatars, bios, locations, number of followers and friends, recent activity on the platform, among other data relevant to profile personalization and management.

The GET User data endpoint returns detailed user profile information, including the username, unique identifier (rest_id), avatar URL, description, name, friend count, subscription count, and any identified red flags related to the profile.

Key fields in the response include "profile" (username), "rest_id" (unique identifier), "avatar" (profile image URL), "desc" (user description), "name" (full name), "friends" (number of friends), "sub_count" (subscription count), and "red_flags" (issues with the profile).

The response data is structured in JSON format, with user information nested under the "user" key and red flags listed in an array. This organization allows for easy parsing and access to specific user attributes.

The GET User data endpoint provides information such as usernames, avatars, bios, follower counts, friend lists, and insights into recent activity, allowing for comprehensive user profile management.

Users can customize their data requests by specifying different usernames in the parameter when calling the GET User data endpoint, allowing retrieval of specific user profiles based on their needs.

In the response, "red_flags" indicates potential issues with the profile, "friends" shows the number of social connections, and "sub_count" reflects the number of subscriptions, providing insights into user engagement.

Data accuracy is maintained through regular updates and validation checks against the source platform, ensuring that the information retrieved reflects the most current user profile data available.

Typical use cases include managing user profiles in social networks, personalizing e-commerce experiences, enhancing community engagement in forums, and improving player interactions in gaming platforms.

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