Agent skill

Google Ad Scraper

by gooseworks-ai in gooseworks-ai/goose-skills

Scrape competitor ads from Google Ads by domain. An agent skill from gooseworks-ai/goose-skills.

Install Google Ad Scraper

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill google-ad-scraper -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills google-ad-scraper --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/capabilities/google-ad-scraper .claude/skills/google-ad-scraper && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "google-ad-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/google-ad-scraper into .claude/skills/google-ad-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ad-scraper", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/google-ad-scraper

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill google-ad-scraper -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills google-ad-scraper --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ads/capabilities/google-ad-scraper .agents/skills/google-ad-scraper && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "google-ad-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/google-ad-scraper into .agents/skills/google-ad-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ad-scraper", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill google-ad-scraper -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills google-ad-scraper --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ads/capabilities/google-ad-scraper .cursor/skills/google-ad-scraper && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "google-ad-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/google-ad-scraper into .cursor/skills/google-ad-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ad-scraper", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/ads/capabilities/google-ad-scraper

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill google-ad-scraper -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills google-ad-scraper --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ads/capabilities/google-ad-scraper .gemini/skills/google-ad-scraper && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "google-ad-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/google-ad-scraper into .gemini/skills/google-ad-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ad-scraper", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills google-ad-scraper

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill google-ad-scraper -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ads/capabilities/google-ad-scraper .github/skills/google-ad-scraper && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "google-ad-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/google-ad-scraper into .github/skills/google-ad-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ad-scraper", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill google-ad-scraper -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills google-ad-scraper --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ads/capabilities/google-ad-scraper .opencode/skills/google-ad-scraper && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "google-ad-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/google-ad-scraper into .opencode/skills/google-ad-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ad-scraper", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: google-ad-scraper
GitHub stars: 1.2k
Used in: 1 other repo
Token cost: ~1.1k tokens
SKILL.md length: 343 words
Files: 5 (incl. scripts)
Skills in repo: 273
Repo updated: Oct 10, 2026
First seen: Oct 9, 2026
Licence: MIT

At a glance

Scrape competitor ads from Google Ads by domain. An agent skill from gooseworks-ai/goose-skills.

Works in 2 steps: Competitor Ad Research → Compare Multiple Competitors
Competitive ad research and messaging analysis
SKILL.md covers Quick Start, How It Works, CLI Reference and Output Fields, plus 3 more sections
Runs Python scripts from its folder; calls python3; reaches nike.com; needs APIFY_API_TOKEN

What it does

Google Ad Scraper is an agent skill from gooseworks-ai/goose-skills. Scrape competitor ads from Google Ads by domain. Returns ad creatives, formats, and campaign details. Use for competitive ad research and messaging analysis.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `scripts/search_google_ads.py`, `skill.meta.json` and `tests/actor-input-contract.json`).

It sits in Marketing & SEO, covering Web scraping and Paid advertising. It works with Google Ads and Apify. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

Competitive ad research and messaging analysis
Tasks that involve Web scraping
Tasks that involve Paid advertising

Example prompts

“/google-ad-scraper”

Requirements

Python 3
A credential in APIFY_API_TOKEN

Workflow steps

2 steps, taken from the step headings in SKILL.md.

Competitor Ad Research
Compare Multiple Competitors

What it can do on your machine

Read from SKILL.md and the folder at commit 4bbe1ef. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- nike.com
Also links to:
- apify.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- APIFY_API_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Google Ad Scraper loads about 1.1k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 343 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~44
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit 4bbe1ef, republished under its MIT licence (© gooseworks-ai). 343 words, ~1,065 tokens.

Download SKILL.mdSave it as .claude/skills/google-ad-scraper/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.

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

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": "...", "maxResults": N}
Output: Returns ads as JSON or human-readable summary

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.

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.

Files

SKILL.md and 4 other files (scripts) in skills/ads/capabilities/google-ad-scraper of gooseworks-ai/goose-skills.

SKILL.md
scripts/search_google_ads.py
skill.meta.json
tests/actor-input-contract.json
tests/test_search_contract.py

Open the folder on GitHubat commit 4bbe1ef

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.

criptogus/agent-evolve-network.claude/skills/google-ad-scraper

Compare with similar skills

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Google Ad Scraper compared with similar skills
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Google Ad Scraper this skillgooseworks-ai/goose-skills	1.2k	1 repos	~1.1k	Automated safety check: Pass	MIT	today
Apify Ads Intelligenceapify/awesome-skills	266	—	~4.2k	Automated safety check: Notes	Apache-2.0	18 days ago
Yandex DirectVKirill/claude-lane-stack	122	—	~5.8k	Automated safety check: Notes	MIT	2 days ago
Apify Influencer Discoverysickn33/agentic-awesome-skills	47k	2 repos	~1.3k	Automated safety check: Notes	MIT	2 days ago
Apify Lead Generationsickn33/agentic-awesome-skills	47k	2 repos	~1.2k	Automated safety check: Notes	MIT	2 days ago
Apify Market Researchsickn33/agentic-awesome-skills	47k	2 repos	~1.2k	Automated safety check: Notes	MIT	2 days ago

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Works with

Questions about Google Ad Scraper

What does Google Ad Scraper do?

Scrape competitor ads from Google Ads by domain. An agent skill from gooseworks-ai/goose-skills. Google Ad Scraper is an agent skill from gooseworks-ai/goose-skills. Scrape competitor ads from Google Ads by domain.

When should I use Google Ad Scraper?

Google Ad Scraper fits situations like: competitive ad research and messaging analysis; tasks that involve Web scraping; tasks that involve Paid advertising.

How do I install Google Ad Scraper in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill google-ad-scraper -a claude-code`. Or copy the skill folder (skills/ads/capabilities/google-ad-scraper in gooseworks-ai/goose-skills) into .claude/skills/google-ad-scraper in your project. Claude Code loads it when a task matches its description.

How do I install Google Ad Scraper in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill google-ad-scraper -a codex`. Or copy the skill folder (skills/ads/capabilities/google-ad-scraper in gooseworks-ai/goose-skills) into .agents/skills/google-ad-scraper in your project. Codex loads it when a task matches its description.

Can I use Google Ad Scraper in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill google-ad-scraper -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-ad-scraper, .gemini/skills/google-ad-scraper, .github/skills/google-ad-scraper and .opencode/skills/google-ad-scraper in your project.

What does Google Ad Scraper need to run?

Going by SKILL.md and its folder, Google Ad Scraper needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named APIFY_API_TOKEN. Our summary lists: Python 3; A credential in APIFY_API_TOKEN.

Does Google Ad Scraper access the network?

SKILL.md names 2 domains. In commands or code: nike.com; the agent is likely to contact it when it follows the instructions. As links in the text: apify.com. This is read from the text; nothing was executed.

Is Google Ad Scraper safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Google Ad Scraper use?

Google Ad Scraper is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Google Ad Scraper use?

About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Google Ad Scraper?

Skills that share tags, products or a category with Google Ad Scraper: Apify Ads Intelligence (apify/awesome-skills, 266 stars), Yandex Direct (VKirill/claude-lane-stack, 122 stars), Apify Influencer Discovery (sickn33/agentic-awesome-skills, 47k stars) and Apify Lead Generation (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Google Ad Scraper?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,242 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 10, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Google Ad Scraper

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Google Ads Scraper

Quick Start

How It Works

CLI Reference

Output Fields

Cost

Common Workflows

1. Competitor Ad Research

2. Compare Multiple Competitors

Limitations

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from gooseworks-ai/goose-skills

Related

Questions about Google Ad Scraper