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
python3 skills/google-ad-scraper/scripts/search_google_ads.py
--domain "stripe.com" --output summary
## How It Works
1. **Domain Input**: Pass the target company's domain directly via `--domain`
2. **Company Name Resolution** (optional): If only `--company` is provided, the script searches Google Ads Transparency Center using Apify's web-scraper (Puppeteer) to resolve the company name to advertiser info
3. **Ad Scraping**: Calls the Apify `burbn/google-ads-search` actor with `{"domain": "...", "maxResults": N}`
4. **Output**: Returns ads as JSON or human-readable summary
**Input contract:** `maxResults` is the actor’s documented limit field ([official schema](https://apify.com/burbn/google-ads-search/input-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.
## 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:
```json
{
"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.