Meta Ad Library Scraper
Search and scrape competitor ads from Facebook, Instagram, and other Meta platforms.
Installation
- Make sure Claude is on your device and in your terminal.
Skills load from
~/.claude/skills/when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then runclaudein any terminal to verify.One-time setupnpm i -g @anthropic-ai/claude-codeAlready have it? Skip ahead.
- Paste into Claude Code or into your terminal.
This copies the whole skill folder into
~/.claude/skills/meta-ad-scraper-gooseworks-ai/— the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.Faster alternative (instruction-only skills)
Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.
Quick install (SKILL.md only)Sign up to copy - Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from
~/.claude/skills/). New skills are picked up on startup. - Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.
Prefer to read the source first? Open on GitHub.
When Claude uses it
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.
What this skill does
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.
# 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-scraperactor 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-urlfor 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.
Output Fields
Each ad in the output contains:
{
"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
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
--company "Competitor Name" --country US --max-ads 100 --output summary
2. Industry Ad Landscape
# 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 allto 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.
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