Agent skill · Content & Marketing

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.

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add gooseworks-ai/goose-skills --skill google-ad-scraper --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 4 KB
Bundled scripts: yes
Path: skills/ads/capabilities/google-ad-scraper/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the 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). ```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

What's inside
Steps it walks through
  1. Quick Start
  2. How It Works
  3. CLI Reference
  4. Output Fields
  5. Cost
  6. Common Workflows
  7. 1. Competitor Ad Research
  8. 2. Compare Multiple Competitors
  9. Limitations
Ships with 2 files
  • scripts/search_google_ads.py
  • skill.meta.json
Commands it runs
Search by domain (recommended)
python3 skills/google-ad-scraper/scripts/search_google_ads.py \
Search by company name (resolves to domain via transparency center)
Limit results
Human-readable summary
Run for each competitor domain
for domain in "competitor1.com" "competitor2.com" "competitor3.com"; do
done
More from goose-skills
All skills →
create-vo-elevenlabsGenerate a voiceover (VO) clip via ElevenLabs text-to-speech, ROUTED THROUGH THE elevenlabs-proxy…Content & Marketingcreate-image-falGenerate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED…Content & Marketingcreate-image-gpt-image-falGenerate a single photoreal or designed image with OpenAI gpt-image via fal.ai. Supports…Design & Presentationcreate-music-elevenlabsGenerate an instrumental music bed via ElevenLabs Music, ROUTED THROUGH THE elevenlabs-proxy so it…Content & Marketingcreate-video-falImage-to-video (or text-to-video) via any FAL video model (Kling, Seedance, Veo), ROUTED THROUGH…Content & Marketingmedia-proxyShared helper that routes ALL paid media generation (FAL image/video, ElevenLabs music) through the…Content & Marketing
About this skill
What does the google-ad-scraper skill do?

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

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill google-ad-scraper --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going
All skills →
The full catalog, by category and by tool.
Open Source Radar →
The repositories these skills come from, watched daily.
The people behind them →
Makers and builders across the ecosystem.