Twitter Analyzer: Pick a Useful Workflow

Choose personal posting-history analysis or a bounded review of available public posts. Start with a clear input and a question the data can answer.

Analyze your personal posting history

Upload your official X ZIP for summary counts and an activity heatmap. Paid plans add aggregate posting patterns, words, emojis, hashtags, mentions, devices and yearly trends. This helps you examine your own habits using the files in the upload.

It does not create individual stored tweet records, recover missing posts or supply every account-performance metric.

Analyze a public profile or known posts

On a paid plan, collect a public profile, a single post URL or a list of known post URLs. Check the resulting date range and source coverage. Search stored text, filter by date or type, and inspect available interactions.

Hashtag analysis counts tags in those collected records. It does not continuously monitor every conversation containing a hashtag.

Read automated results carefully

Posting-time charts describe the collected account’s activity. Follower snapshots show observed counts over recorded dates. Text-tone scores are automated estimates of post wording.

Those outputs do not establish audience demographics, audience online times, customer sentiment, the cause of follower changes or the truth of a statement. Inspect the underlying records before using a label in a decision.

Finish with a reviewable result

1. Write the question and choose a source.
2. Check the sample and missing fields.
3. Review a few underlying posts before summarizing.
4. Export filtered collected records if needed; paid CSV, XLSX and JSON exports allow up to 50,000 rows.
5. Retain source links and collection dates with the conclusion.

See plans and limits before starting public-post collection.

Choose the next step

Archive upload insights · Public-post collection · Plans and limits · Screenshot maker