Agent skill · Data & Analytics

x-tweet-by-conversation

Collects every tweet in an X (Twitter) conversation thread given a conversation id (root tweet id) — the focal tweet plus all replies, sub-replies, and quote chains — and returns normalized per-tweet data with text, author, engagement counts, media, hashtags, mentions, in_reply_to mapping, and cursor for pagination. Use when user mentions Twitter conversation, X conversation thread, conversation_id, thread scraper, scrape Twitter replies, all replies to a tweet, replies under a tweet, sub-replies, nested replies, thread harvester, get replies of a tweet, scrape comments on Twitter, scrape comm

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill x-tweet-by-conversation --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 11 KB
Bundled scripts: yes
Path: solutions/social-listening/x-tweet-by-conversation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 5,160
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# X — Tweets by Conversation > Conversation id (root tweet id) → normalized list of every tweet in the thread (focal tweet + replies + sub-replies), with author, engagement, media, cursor. ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Given an X conversation id (which equals the root tweet id), collect the focal tweet and every reply / sub-reply visible to the logged-in session, returning structured per-tweet data with pagination cursors. ## Prerequisites - Active X session in the browser (left sidebar shows logged-in avatar / @handle). - Network capture is enabled in the browser-act session. ## Pre-execution Checks ### 1. Tool Readiness If browser-act has been confirmed available in the current session → skip this step. Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry. ### 2. Login Verification If login status for X has been confirmed in the current session → skip this step. Otherwise: open `https://x.com` and observe the left sidebar: - User avatar or @handle visible → logged in, continue - "Sign in" / "Log in" pro

What's inside
Steps it walks through
  1. Language
  2. Objective
  3. Prerequisites
  4. Pre-execution Checks
  5. 1. Tool Readiness
  6. 2. Login Verification
  7. Capability Components
  8. Network Capture: full conversation thread
  9. Pagination
  10. Success Criteria
  11. Known Limitations
  12. Execution Efficiency
  13. Experience Notes
Ships with 2 files
  • scripts/build-conversation-url.py
  • scripts/parse-tweets.py
More from skills
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About this skill
What does the x-tweet-by-conversation skill do?

Collects every tweet in an X (Twitter) conversation thread given a conversation id (root tweet id) — the focal tweet plus all replies, sub-replies, and quote chains — and returns normalized per-tweet data with text, author, engagement counts, media, hashtags, mentions, in_reply_to mapping, and cursor for pagination. Use when user mentions Twitter conversation, X conversation thread, conversation_id, thread scraper, scrape Twitter replies, all replies to a tweet, replies under a tweet, sub-replies, nested replies, thread harvester, get replies of a tweet, scrape comments on Twitter, scrape comm

How do I install it?

Run `npx skills add browser-act/skills --skill x-tweet-by-conversation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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