X (Twitter) Hot Topics

Fetch trending topics from X (Twitter). Analyze user interests from natural language, retrieve top hot topics per domain, and summarize background, key opinions, and controversies.

X (Twitter) Hot Topics Fetcher

Primary source = logged-in browser on x.com (full index, engagement-ranked Top search + Explore trending). Fallback = X API free-tier search, which systematically misses viral tweets (verified 2026-10-19: a 740K-view tweet was absent from search_recent results while low-engagement residue ranked top). Never use API search alone to claim what is "hot".

Prerequisites

Browser source (primary; no credentials needed)

• OpenClaw browser tool with a logged-in x.com session (session cookies persist in the managed browser profile).
• Session check: browser action=tabs; reuse or open tab label x-login at https://x.com/home. Logged-in = title (N) Home / X plus timeline cards. Landing/login page = session expired → restore the session first (cookie import or the assisted-browser-login skill); do not fetch while logged out.
• Cloudflare "Performing security verification" page: retry the same navigation up to 3 times (~5–10 s apart); it usually clears once cf_clearance is set. Still blocked after retries → go to fallback.

API fallback (credentials OPTIONAL)

• pip3 install tweepy (only needed for fallback).
• Env X_BEARER_TOKEN — optional: required only if the browser source fails and API fallback is desired. If unset and the browser fails, report both sources down; never present API-only output as the complete hot-topic picture.

Workflow

Step 1: Parse interest domains

Domain	Keywords
International Politics	politics, geopolitics, diplomacy, sanctions, war, NATO, UN
Economy & Finance	economy, stock market, tariff, trade, inflation, crypto, bitcoin
Technology	AI, LLM, GPT, tech, chip, semiconductor, Apple, Google, Microsoft
Sports	football, World Cup, NBA, Olympics, FIFA
Entertainment	movie, music, celebrity, Netflix, Disney
Society	climate, health, education, protest, human rights

Rules: explicit domain → its keywords; specific topic → that topic's keywords; nothing identifiable → generic hot set via browser Top search (trending OR breaking OR viral OR news) plus Explore trending. Pick 2–3 keywords per domain.

Step 2: Browser fetch (primary)

2a Today's trends: navigate https://x.com/explore/tabs/trending, then evaluate: () => Array.from(document.querySelectorAll('[data-testid="trend"]')).map(e => e.innerText.replace(/\n/g, ' | '))

2b Keyword Top search: navigate https://x.com/search?q=<urlencoded>&f=top. Operators: since:YYYY-MM-DD, until:, min_faves:N, min_retweets:N, lang:xx, OR/parentheses. For "today/recent" asks default to since: = yesterday. Wait for article[data-testid="tweet"], then evaluate:

js

() => Array.from(document.querySelectorAll('article[data-testid="tweet"]')).slice(0, 10).map(a => {
  const g = s => { const e = a.querySelector(s); return e ? (e.getAttribute('datetime') || e.getAttribute('href') || e.innerText.replace(/\s+/g, ' ').slice(0, 160)) : null; };
  const labels = Array.from((a.querySelector('[role="group"]') || a).querySelectorAll('[aria-label]')).map(e => e.getAttribute('aria-label'));
  return { who: g('[data-testid="User-Name"]'), when: g('time'), text: g('[data-testid="tweetText"]'), stats: labels.slice(0, 5), url: g('a[href*="/status/"]') };
})

Stat aria-labels read: "N replies", "N reposts" (= RT + quotes), "N likes", "N views".

2c Exact metrics for a known tweet: open its status URL (same extraction), or API GET /2/tweets/:id?tweet.fields=public_metrics (per-ID metrics verified accurate vs web).

Step 3: Fallback — API search (only if Step 2 unavailable / blocked / empty)

If X_BEARER_TOKEN is set:

bash

cd <this skill dir> && python3 scripts/x_hots.py '["kw1", "kw2"]'

Label such results as API-fallback in the answer (partial-index caveat). 429 → wait 15 min or skip fallback. Token unset → report the browser failure; do not fabricate.

Step 4: Analyze and present

Rank by engagement (likes + reposts + replies; views as tiebreak). Per topic give: 📌 Background (origin, timeline, key actors) · 💬 Popular opinions (supporters / opponents / neutral) · ⚔️ Key controversies (where stances diverge). Present as ## 🔥 [Domain] Hot Topics with ### Topic N blocks.

Pitfalls (verified 2026-10-19)

• Web "reposts" = RT + QT; web "views" ≈ API impression_count.
• v1.1 verify_credentials is deprecated (404); check login state via Home title/timeline instead.
• Free-tier search_recent: partial index, relevancy-sorted, 7-day window, 10 req/15 min → returns low-engagement residue; cross-validated on France riots / stock market / AI.
• CF challenge: retry navigation several times before concluding "blocked".

Error handling

• Not logged in → restore session, retry once.
• CF loop after 3 retries → Step 3.
• Both sources down → state it explicitly with reasons; never serve stale or API-only data as complete.