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Web Extraction

Twitter/X User Tweets

Fetch a popularity-weighted public sample of tweets from a Twitter/X profile with normalized text, authors, media, and engagement counters.

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Inputs

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Execution Steps

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Overview

Twitter/X User Tweets fetches a popularity-weighted public sample of tweets from a profile by handle or profile URL, with normalized text, authors, media, timestamps, entities, cards, and engagement counters. Use it to understand an account's public voice and higher-signal posts, not to capture a chronological feed.

Use cases

  • Review public tweets from a creator, brand, competitor, or community account.
  • Extract tweet text, links, hashtags, mentions, media, cards, timestamps, and engagement signals.
  • Spot themes, hooks, formats, and higher-performing examples for content planning.

Input tips

  • Provide an X/Twitter handle, @handle, or simple profile URL.
  • Leave trim off when you need richer raw and recovered fields.
  • Use trim when a smaller response is more useful than extra provider detail.
  • Use Twitter/X Profile first if you need account context before tweet review.

Expected output

The AI Tool returns availability and pagination status, source handle, trim flag, feed type, tweet count, normalized tweets, warnings, normalization notes, additional recovered fields, and cost metadata. Tweets can include IDs, canonical URLs, text, timestamps, language, source client, conversation and author IDs, author summaries, entities, media and video variants, link cards, note text, edit metadata, sensitivity and translatability flags, quoted or reposted tweet summaries, and view, like, repost, reply, bookmark, and quote counts when returned.

Caveats

  • Results are a popularity-weighted public sample, not a chronological latest feed.
  • Private, restricted, suspended, or unavailable accounts may return partial or no tweets.
  • Engagement counts, media availability, and tweet visibility can change after the run.
  • Trim mode can reduce raw provider detail; leave it off when audit depth matters.

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