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meta-ad-scraper

meta-ad-scraper

github.com/gooseworks-aiMarketing & growth1.3k63 installsUpdated 3d ago
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About meta-ad-scraper

meta-ad-scraper is a Python CLI skill for researching ads in Meta's Ad Library by company, keyword, Facebook Page URL, or domain. It uses Apify's Facebook ads scraper and returns results as JSON or a readable summary, with country and ad-status filters.

Key features

  1. 01Search by company, keyword, or page URL
  2. 02Filter by country and ad status
  3. 03Set a maximum result count
  4. 04Output JSON or readable summaries
  5. 05Retrieve ads through the Apify actor

Use cases

  1. 01Review a competitor's active ads
  2. 02Explore ads for an industry keyword
  3. 03Compare messaging across advertisers

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/gooseworks-ai/goose-skills --skill meta-ad-scraper

After installing, type/meta-ad-scraperin Claude Code to confirm it loaded.

Bundled filesscripts/search_meta_ads.pyskill.meta.json

Details

From the project README

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

  1. Takes a company name, keyword, or Facebook Page URL
  2. Constructs a Meta Ad Library URL with the search query and filters
  3. Calls the Apify apify/facebook-ads-scraper actor via REST API
  4. Polls until the run completes, then fetches the dataset
  5. 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

FlagDefaultDescription
--companyrequired*Company name or keyword to search
--page-urlnoneFacebook Page URL for exact advertiser match
--countryALL2-letter country code (US, GB, DE, etc.) or ALL
--ad-statusactiveactive or all (includes inactive)
--max-ads50Maximum number of ads to return
--outputjsonOutput format: json or summary
--tokenenv varApify token (prefer APIFY_API_TOKEN env var)
--timeout300Max 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 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.

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