Agent skill

Meta Ad Scraper

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

Scrape competitor ads from Meta's Ad Library (Facebook, Instagram, Messenger, Threads, WhatsApp).

Install Meta Ad Scraper

skills CLI

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

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

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills meta-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/meta-ad-scraper .claude/skills/meta-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 "meta-ad-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/meta-ad-scraper into .claude/skills/meta-ad-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-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/meta-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 meta-ad-scraper -a codex

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

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills meta-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/meta-ad-scraper .agents/skills/meta-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 "meta-ad-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/meta-ad-scraper into .agents/skills/meta-ad-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-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 meta-ad-scraper -a cursor

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

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills meta-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/meta-ad-scraper .cursor/skills/meta-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 "meta-ad-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/meta-ad-scraper into .cursor/skills/meta-ad-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-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/meta-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 meta-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 meta-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/meta-ad-scraper .gemini/skills/meta-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 "meta-ad-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/meta-ad-scraper into .gemini/skills/meta-ad-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-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 meta-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 meta-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/meta-ad-scraper .github/skills/meta-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 "meta-ad-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/meta-ad-scraper into .github/skills/meta-ad-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-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 meta-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 meta-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/meta-ad-scraper .opencode/skills/meta-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 "meta-ad-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/meta-ad-scraper into .opencode/skills/meta-ad-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-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: meta-ad-scraper
GitHub stars: 1.2k
Used in: 1 other repo
Token cost: ~1.2k tokens
SKILL.md length: 363 words
Files: 3 (incl. scripts)
Skills in repo: 273
Repo updated: Oct 8, 2026
First seen: Oct 9, 2026
Licence: MIT

At a glance

Scrape competitor ads from Meta's Ad Library (Facebook, Instagram, Messenger, Threads, WhatsApp).

Works in 3 steps: Competitor Ad Research → Industry Ad Landscape → Compare Multiple Competitors
Competitive ad research
SKILL.md covers Quick Start, How It Works, Resolving Company Name → Ads and CLI Reference, plus 5 more sections
Runs Python scripts from its folder; calls python3 and pip; reaches facebook.com and nike.com; needs APIFY_API_TOKEN

What it does

Meta Ad Scraper is an agent skill from gooseworks-ai/goose-skills. Scrape competitor ads from Meta's Ad Library (Facebook, Instagram, Messenger, Threads, WhatsApp). Search by company name, Facebook Page URL, or keyword. Returns ad creatives, spend estimates, reach, impressions, and campaign details. Use for competitive ad research, messaging analysis, and creative inspiration.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/search_meta_ads.py` and `skill.meta.json`).

It sits in Data & Analytics, covering Web scraping. It works with Instagram, WhatsApp 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
Messaging analysis
Creative inspiration

Example prompts

“/meta-ad-scraper”

Requirements

Python 3
A credential in APIFY_API_TOKEN

Workflow steps

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

Competitor Ad Research
Industry Ad Landscape
Compare Multiple Competitors

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. 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
- pip
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:
- facebook.com
- nike.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

Meta Ad Scraper loads about 1.2k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 363 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~82
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k

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 c650c6d, republished under its MIT licence (© gooseworks-ai). 363 words, ~1,214 tokens.

Download SKILL.mdSave it as .claude/skills/meta-ad-scraper/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.

name: meta-ad-scraper
description: Scrape competitor ads from Meta's Ad Library (Facebook, Instagram, Messenger, Threads, WhatsApp). Search by company name, Facebook Page URL, or keyword. Returns ad creatives, spend estimates, reach, impressions, and campaign details. Use for competitive ad research, messaging analysis, and creative inspiration.

Meta Ad Library Scraper

Scrape ads from Meta's Ad Library using the Apify apify/facebook-ads-scraper actor. Covers Facebook, Instagram, Messenger, Threads, and WhatsApp.

Quick Start

Requires APIFY_API_TOKEN env var (or --token flag). Install dependency: pip install requests.

bash

# Search ads by company name
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --company "Nike"

# Search with country filter
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --company "Shopify" --country US

# Search by keyword (broader than company name)
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --company "project management software"

# Limit results
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --company "HubSpot" --max-ads 20

# Search by Facebook Page URL directly
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --page-url "https://www.facebook.com/nike"

# Only active ads (default), or all ads
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --company "Salesforce" --ad-status all

# Human-readable summary
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --company "Stripe" --output summary

How It Works

Takes a company name, keyword, or Facebook Page URL
Constructs a Meta Ad Library URL with the search query and filters
Calls the Apify apify/facebook-ads-scraper actor via REST API
Polls until the run completes, then fetches the dataset
Parses and outputs ad data as JSON or human-readable summary

Resolving Company Name → Ads

The script handles the advertiser lookup automatically:

Company name: Constructs a search URL like facebook.com/ads/library/?q=CompanyName — the Apify actor searches Meta's Ad Library for matching advertisers
Page URL: If you have the Facebook Page URL, pass it via --page-url for exact matching
Domain: You can also pass a domain and the script will search for it

No need to manually find Page IDs. The Apify actor resolves the search internally.

CLI Reference

Flag	Default	Description
`--company`	required*	Company name or keyword to search
`--page-url`	none	Facebook Page URL for exact advertiser match
`--country`	ALL	2-letter country code (US, GB, DE, etc.) or ALL
`--ad-status`	active	`active` or `all` (includes inactive)
`--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 the Apify run

*Either --company or --page-url is required.

Show full SKILL.md (118 more words)Show less

Output Fields

Each ad in the output contains:

json

{
  "ad_id": "123456789",
  "page_name": "Nike",
  "page_id": "123456789",
  "ad_text": "Just Do It. Shop the latest...",
  "ad_creative_link_title": "Nike.com",
  "ad_creative_link_description": "Free shipping on orders...",
  "ad_creative_link_url": "https://nike.com/...",
  "image_url": "https://...",
  "video_url": "https://...",
  "ad_delivery_start_time": "2026-01-15",
  "ad_delivery_stop_time": null,
  "currency": "USD",
  "spend_lower": 100,
  "spend_upper": 499,
  "impressions_lower": 1000,
  "impressions_upper": 4999,
  "platforms": ["facebook", "instagram"],
  "status": "ACTIVE"
}

Cost

~$5 per 1,000 ads scraped on Apify Free plan. Paid plans are cheaper ($3.40-$5/1K).

Common Workflows

1. Competitor Ad Research

bash

python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --company "Competitor Name" --country US --max-ads 100 --output summary

2. Industry Ad Landscape

bash

# Search by keyword to see all advertisers in a space
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --company "CRM software" --max-ads 50

3. Compare Multiple Competitors

Run the script multiple times for each competitor and compare creative approaches, messaging, and spend ranges.

Important Notes

EU/UK ads are most complete: Meta archives all ads shown in EU/UK. For US-only ads, coverage may be limited to political/issue ads.
Active vs All: By default only active ads are returned. Use --ad-status all to include historical ads.
Rate limits: Apify handles rate limiting internally. For large scrapes, increase --timeout.

Configuration

See references/apify-config.md for detailed API configuration, token setup, and rate limits.

Files

SKILL.md and 2 other files (scripts) in skills/ads/capabilities/meta-ad-scraper of gooseworks-ai/goose-skills.

SKILL.md
scripts/search_meta_ads.py
skill.meta.json

Open the folder on GitHubat commit c650c6d

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/meta-ad-scraper

Compare with similar skills

Meta Ad Scraper next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Meta Ad Scraper compared with similar skills
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Apify Google Maps Leadsapify/awesome-skills	266	—	~3.8k	Automated safety check: Pass	Apache-2.0	18 days ago
Apify Ultimate Scrapersickn33/agentic-awesome-skills	47k	2 repos	~2.7k	Automated safety check: Notes	MIT	2 days ago
Apify Audience Analysissickn33/agentic-awesome-skills	47k	2 repos	~1.3k	Automated safety check: Notes	MIT	2 days ago
Apify Brand Reputation Monitoringsickn33/agentic-awesome-skills	47k	2 repos	~1.2k	Automated safety check: Notes	MIT	2 days ago

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Works with

Questions about Meta Ad Scraper

What does Meta Ad Scraper do?

Scrape competitor ads from Meta's Ad Library (Facebook, Instagram, Messenger, Threads, WhatsApp). Meta Ad Scraper is an agent skill from gooseworks-ai/goose-skills. Scrape competitor ads from Meta's Ad Library (Facebook, Instagram, Messenger, Threads, WhatsApp).

When should I use Meta Ad Scraper?

Meta Ad Scraper fits situations like: competitive ad research; messaging analysis; creative inspiration.

How do I install Meta Ad Scraper in Claude Code?

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

How do I install Meta Ad Scraper in Codex?

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

Can I use Meta 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 meta-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/meta-ad-scraper, .gemini/skills/meta-ad-scraper, .github/skills/meta-ad-scraper and .opencode/skills/meta-ad-scraper in your project.

What does Meta Ad Scraper need to run?

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

Does Meta Ad Scraper access the network?

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

Is Meta 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 Meta Ad Scraper use?

Meta 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 Meta Ad Scraper use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 Meta Ad Scraper?

Skills that share tags, products or a category with Meta Ad Scraper: Ig Audience Insights (sergebulaev/instagram-skills, 347 stars), Apify Google Maps Leads (apify/awesome-skills, 266 stars), Apify Ultimate Scraper (sickn33/agentic-awesome-skills, 47k stars) and Apify Audience Analysis (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 Meta Ad Scraper?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 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 Meta 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

Meta Ad Library Scraper

Quick Start

How It Works

Resolving Company Name → Ads

CLI Reference

Output Fields

Cost

Common Workflows

1. Competitor Ad Research

2. Industry Ad Landscape

3. Compare Multiple Competitors

Important Notes

Configuration

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from gooseworks-ai/goose-skills

Related

Questions about Meta Ad Scraper