anthropics/skills180kwebapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
浏览器自动化
Scrape competitor ads from Google Ads by domain. Returns ad creatives, formats, and campaign details. Use for competitive ad research and messaging analysis.
把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性,你确认后才安装。
读取 https://funcoding.ai/skills/gooseworks-ai/goose-skills/google-ad-scraper/install.md ,按里面的步骤帮我安装这个 Skill。
Scrape ads from Google Ads using the Apify burbn/google-ads-search actor. Search by domain to get ad creatives, formats, and campaign details.
Requires APIFY_API_TOKEN env var (or --token flag).
# Search by domain (recommended)
python3 skills/google-ad-scraper/scripts/search_google_ads.py \
--domain "hubspot.com"
# Search by company name (resolves to domain via transparency center)
python3 skills/google-ad-scraper/scripts/search_google_ads.py \
--company "Nike"
# Limit results
python3 skills/google-ad-scraper/scripts/search_google_ads.py \
--domain "hubspot.com" --max-ads 30
# Human-readable summary
python3 skills/google-ad-scraper/scripts/search_google_ads.py \
--domain "stripe.com" --output summary
--domain--company is provided, the script searches Google Ads Transparency Center using Apify's web-scraper (Puppeteer) to resolve the company name to advertiser infoburbn/google-ads-search actor with {"domain": "...", "maxResults": N}Input contract: maxResults is the actor’s documented limit field (official schema). This fallback remains temporary research; it does not create a saved GooseWorks ad-library source. Prefer the confirmed durable Google workflow in competitor-ad-intelligence when saving is requested.
| Flag | Default | Description |
|---|---|---|
--domain | none | Company domain (e.g. hubspot.com) — recommended |
--company | none | Company name (resolved to domain via transparency center) |
--max-ads | 50 | Maximum number of ads to return |
--output | json | Output format: json or summary |
--token | env var | Apify token (prefer APIFY_API_TOKEN env var) |
--timeout | 300 | Max seconds to wait for Apify run |
At least one of --company or --domain is required.
Each ad in the output contains:
{
"advertiserId": "AR13129532367502835713",
"advertiserName": "Nike, Inc.",
"creativeId": "CR12345678901234567890",
"originalUrl": "https://www.nike.com/",
"imageUrl": "https://...",
"variantFormat": "TEXT",
"variantContent": "Shop the latest Nike shoes...",
"variants": [...],
"variantCount": 3,
"startDate": "2026-01-15"
}
Output fields:
| Field | Description |
|---|---|
advertiserId | Google Ads advertiser ID |
advertiserName | Company/advertiser display name |
creativeId | Unique ID for the ad creative |
originalUrl | Destination URL the ad links to |
imageUrl | URL of the ad image (if applicable) |
variantFormat | Ad format (TEXT, IMAGE, VIDEO, etc.) |
variantContent | Ad copy/text content |
variants | Array of ad variants |
variantCount | Number of variants for this creative |
startDate | Date the ad first appeared |
python3 skills/google-ad-scraper/scripts/search_google_ads.py \
--domain "competitor.com" --max-ads 100 --output summary
# Run for each competitor domain
for domain in "competitor1.com" "competitor2.com" "competitor3.com"; do
python3 skills/google-ad-scraper/scripts/search_google_ads.py \
--domain "$domain" --max-ads 50
done
--domain for best results.
anthropics/skills180kToolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
浏览器自动化
addyosmani/agent-skills103kTests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
浏览器自动化
ComposioHQ/awesome-claude-skills77kToolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
浏览器自动化
code-yeongyu/oh-my-openagent70kDrives a real browser through the omowright library from the js eval kernel: sites the user is already signed into, forms and clicks, JS-rendered pages, screenshots, web QA, extension popups, a human handoff for login, CAPTCHA or OTP, and a browser you own for scraping, bot-scored targets, network capture and QA traces. Use for any interactive browser task; not for a plain search or an unblocked static fetch.
浏览器自动化
shanraisshan/claude-code-best-practice67kBrowser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
浏览器自动化
CherryHQ/cherry-studio52kRun Cherry Studio critical-path system regression tasks through the repository-owned Playwright E2E workflow. Use for full regression, release acceptance, development-branch system validation, or a named cherry-regression-test task on GitHub-hosted macOS and Windows runners.
浏览器自动化