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yang0 (@yang0) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Youtube Domain Topn Videos by yang0

Name: Youtube Domain Topn Videos
Author: yang0

Youtube Domain Topn Videos

Collect top-N YouTube hot videos for any domain from the last 24 hours with Patchright, then output title, intro snippet, metrics, and link. Use when asked for a ranked trend digest in a specific field such as AI, finance, robotics, gaming, cybersecurity, or any other topic.

yang0 Updated Sep 17, 2026

File contents

YouTube Domain TopN Videos

Overview

Use Patchright to crawl YouTube search results filtered to "Today", generate multi-query candidates from a chosen domain, rank by a recency-adjusted hot score, and export top-N items.

Run Workflow

Install runtime dependencies.
Update search queries when needed.
Run the scraper.
Read JSON/Markdown outputs and continue reporting.

Install

pip install patchright
python -m patchright install chromium

Configure Queries

Default query templates are in references/query_templates.txt.

Use {domain} placeholder in each line.
Example line: {domain} tutorial
You can override with --queries-file to pass explicit queries.

Execute

python scripts/fetch_topn_domain_videos.py --domain "robotics" --top 10 --hours 24 --cookies-file H:/cookies/youtube.txt

Useful options:

--domain <text>: Required domain/topic, for example cybersecurity or 跨境电商.
--queries-file <path>: Use explicit query lines directly.
--query-templates-file <path>: Use {domain} templates.
--cookies-file <path>: Load YouTube cookies (Netscape or JSON).
--max-results-per-query <n>: Increase candidate pool before ranking.
--gl <country> and --hl <lang>: Control YouTube geo/language.
--headed: Run non-headless for debugging.
--output-json <path> and --output-md <path>: Change output files.

Default output layout:

Project root directory: outputs/YYYY/MM/DD/
Filename pattern: YYYYMMDD_top{N}_{domain}_{hours}h.json and .md

Output Contract

Each ranked record includes:

title: Video title.
intro: Description snippet from search card.
data: Channel, views, publish text, age-hours estimate, duration, hot score, domain, matched queries.
link: Canonical YouTube watch link.

Troubleshooting

If results are empty, increase --scroll-rounds and --max-results-per-query.
If region bias is wrong, set --gl explicitly (for example US, JP, TW).
If YouTube UI changes, update DOM selectors in scripts/fetch_topn_domain_videos.py.

---name: youtube-domain-topn-videosdescription: Collect top-N YouTube hot videos for any domain from the last 24 hours with Patchright, then output title, intro snippet, metrics, and link. Use when asked for a ranked trend digest in a specific field such as AI, finance, robotics, gaming, cybersecurity, or any other topic.---# YouTube Domain TopN Videos## OverviewUse Patchright to crawl YouTube search results filtered to "Today", generate multi-query candidates from a chosen domain, rank by a recency-adjusted hot score, and export top-N items.## Run Workflow1. Install runtime dependencies.2. Update search queries when needed.3. Run the scraper.4. Read JSON/Markdown outputs and continue reporting.## Install```bashpip install patchrightpython -m patchright install chromium```## Configure QueriesDefault query templates are in `references/query_templates.txt`.- Use `{domain}` placeholder in each line.- Example line: `{domain} tutorial`- You can override with `--queries-file` to pass explicit queries.## Execute```bashpython scripts/fetch_topn_domain_videos.py --domain "robotics" --top 10 --hours 24 --cookies-file H:/cookies/youtube.txt```Useful options:- `--domain <text>`: Required domain/topic, for example `cybersecurity` or `跨境电商`.- `--queries-file <path>`: Use explicit query lines directly.- `--query-templates-file <path>`: Use `{domain}` templates.- `--cookies-file <path>`: Load YouTube cookies (`Netscape` or `JSON`).- `--max-results-per-query <n>`: Increase candidate pool before ranking.- `--gl <country>` and `--hl <lang>`: Control YouTube geo/language.- `--headed`: Run non-headless for debugging.- `--output-json <path>` and `--output-md <path>`: Change output files.Default output layout:- Project root directory: `outputs/YYYY/MM/DD/`- Filename pattern: `YYYYMMDD_top{N}_{domain}_{hours}h.json` and `.md`## Output ContractEach ranked record includes:- `title`: Video title.- `intro`: Description snippet from search card.- `data`: Channel, views, publish text, age-hours estimate, duration, hot score, domain, matched queries.- `link`: Canonical YouTube watch link.## Troubleshooting- If results are empty, increase `--scroll-rounds` and `--max-results-per-query`.- If region bias is wrong, set `--gl` explicitly (for example `US`, `JP`, `TW`).- If YouTube UI changes, update DOM selectors in `scripts/fetch_topn_domain_videos.py`.

Frequently asked questions