google-ad-scraper
Scrape competitor ads from Google Ads by domain. Returns ad creatives, formats, and campaign details. Use for competitive ad research and messaging analysis.
适合你,如果要做竞品广告调研或分析对手投放策略。
npx oh-my-skill add gooseworks-ai/goose-skills/google-ad-scrapercurl -fsSL https://oh-my-skill.com/install.sh | bash -s -- gooseworks-ai/goose-skills/google-ad-scrapernpx oh-my-skill verify gooseworks-ai/goose-skills/google-ad-scraper怎么用
技能原文 SKILL.md
Google Ads Scraper
Scrape ads from Google Ads using the Apify burbn/google-ads-search actor. Search by domain to get ad creatives, formats, and campaign details.
Quick Start
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
How It Works
- Domain Input: Pass the target company's domain directly via
--domain - Company Name Resolution (optional): If only
--companyis provided, the script searches Google Ads Transparency Center using Apify's web-scraper (Puppeteer) to resolve the company name to advertiser info - Ad Scraping: Calls the Apify
burbn/google-ads-searchactor with{"domain": "...", "maxItems": N} - Output: Returns ads as JSON or human-readable summary
CLI Reference
| 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.
Output Fields
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 |
Cost
- Ad scraping: Varies by actor pricing, typically a few cents per domain
- Company name resolution (optional): ~$0.05 (one web-scraper page)
Common Workflows
1. Competitor Ad Research
python3 skills/google-ad-scraper/scripts/search_google_ads.py \ --domain "competitor.com" --max-ads 100 --output summary
2. Compare Multiple Competitors
# Run for each competitor domain
for domain in "competitor1.com" "competitor2.com" "competitor3.com"; do
python3 skills/google-ad-scraper/scripts/search_google_ads.py \
--domain "$domain" --max-ads 50
done
Limitations
- Company name resolution uses Puppeteer-based web scraping of Google's SPA. It may occasionally fail — use
--domainfor best results. - Ad coverage: Google only shows ads from verified advertisers. Some smaller advertisers may not appear.
- Historical data: Primarily shows recently active ads.