google-ad-scraper: Research & Knowledge for AI Agents | OpenAgentSkill

Overview

Scrape competitor ads from Google Ads by domain. Returns ad creatives, formats, and campaign details. Use for competitive ad research and messaging analysis.

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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 --company is 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-search actor 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 --domain for best results.
Ad coverage: Google only shows ads from verified advertisers. Some smaller advertisers may not appear.
Historical data: Primarily shows recently active ads.

View source ↗

File metadata

name: google-ad-scraper
description: Scrape competitor ads from Google Ads by domain. Returns ad creatives, formats, and campaign details. Use for competitive ad research and messaging analysis.

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---
name: google-ad-scraper
description: Scrape competitor ads from Google Ads by domain. Returns ad creatives, formats, and campaign details. Use for competitive ad research and messaging analysis.
---

# 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).

```bash
# 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

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": "...", "maxItems": N}`
4. **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:

```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

```bash
python3 skills/google-ad-scraper/scripts/search_google_ads.py \
  --domain "competitor.com" --max-ads 100 --output summary
```

### 2. Compare Multiple Competitors

```bash
# 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 `--domain` for best results.
- **Ad coverage**: Google only shows ads from verified advertisers. Some smaller advertisers may not appear.
- **Historical data**: Primarily shows recently active ads.

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

Dependency or permission surface needs review
Permission surface may require sandboxing
The skill depends on a third-party Apify actor (burbn/google-ads-search) and requires an API token, which is a necessary external dependency.
Company name resolution via web scraping may occasionally fail, as noted in the limitations.

Open full audit

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Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & trust

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License: MIT
Version: 1.0.0
Last GitHub push: Sep 1, 2026
Registry updated: Sep 4, 2026
Instruction path: skills/ads/capabilities/google-ad-scraper/SKILL.md @ e1592ee2bdc5

Version reported in registry metadata; check source releases before relying on it.

Quality

77/100

Strong

Trust

62/100

Sandbox only

Audit

79/100

Needs review

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

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More details

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}

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