tweet-analytics

To get tweet engagement metrics, you fetch per-tweet data using the tweet ID to retrieve likes, retweets, quotes, replies, impressions, and views. This immediately surfaces all performance numbers for that specific tweet.

Yes, you can compare tweet performance across multiple posts to surface engagement trends over time. This side-by-side comparison evaluates account-level interactions and identifies which tweets perform best.

To extract a list of accounts that liked or retweeted, you fetch audience interactions using the favoriters endpoint. It supports bulk extractions to gather engaged user data for large lists.

If you hit an API rate limit while analyzing tweet metrics, the skill includes error handling to manage these limits. This prevents data fetching failures during bulk extractions or account-level analysis.

Yes, tweet analytics works for bulk extraction of metrics from large lists of tweets. It fetches likes, retweets, and impressions across multiple posts to analyze account-level engagement trends efficiently.