tiktok-hashtag-videos
TikTok hashtag video scraper: input a hashtag name → output paginated video list with full metadata (author profile, engagement stats, music, video meta, hashtag list). Use when user mentions TikTok hashtag scraping, TikTok tag videos, scrape TikTok by hashtag, extract TikTok hashtag data, TikTok challenge videos, get videos from a TikTok tag, bulk collect TikTok hashtag posts, TikTok video collection by tag, TikTok topic videos, collect TikTok tag data, batch fetch TikTok videos by hashtag, tiktok tag scraper, tiktok challenge scraper. Also applies to competitive research on TikTok trending t
npx skills add browser-act/skills --skill tiktok-hashtag-videos --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# TikTok — Hashtag Videos > hashtag name → challenge info + paginated video list with author, engagement, music, and video metadata ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Extract the video list for a given TikTok hashtag using the `/api/challenge/item_list/` endpoint triggered by page navigation. ## Prerequisites - Browser is open and can access `https://www.tiktok.com` - No login required for public hashtag data - Browser must use a non-HK proxy (TikTok has shut down in Hong Kong) ## 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. ## Capability Components > This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. JS code is encapsulated in Python files under the `scripts/` directory, invoked via `eval "$(python scripts/xxx.py {params})"`. `$(..
- Language
- Objective
- Prerequisites
- Pre-execution Checks
- 1. Tool Readiness
- Capability Components
- API: Get challenge ID from hashtag name
- Network Capture: Hashtag video list (parameters injected via URL navigation)
- Network Capture: Hashtag video list pagination (page 2+)
- Composite: Full hashtag extraction (challenge ID + paginated video list)
- Pagination
- Success Criteria
- Known Limitations
- Execution Efficiency
What does the tiktok-hashtag-videos skill do?
TikTok hashtag video scraper: input a hashtag name → output paginated video list with full metadata (author profile, engagement stats, music, video meta, hashtag list). Use when user mentions TikTok hashtag scraping, TikTok tag videos, scrape TikTok by hashtag, extract TikTok hashtag data, TikTok challenge videos, get videos from a TikTok tag, bulk collect TikTok hashtag posts, TikTok video collection by tag, TikTok topic videos, collect TikTok tag data, batch fetch TikTok videos by hashtag, tiktok tag scraper, tiktok challenge scraper. Also applies to competitive research on TikTok trending t
How do I install it?
Run `npx skills add browser-act/skills --skill tiktok-hashtag-videos --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.