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Facebook Ads Library Scraper
A Python tool to extract ad data from the Facebook Ads Library for research, analysis, or competitive insights.
Pricing
from $50.00 / 1,000 results
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a month ago
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A Python-based tool to scrape public ads from the Facebook Ads Library, including advertiser names, ad links, and descriptions. Designed for research, competitive analysis, and ad intelligence.
Features
- Extracts advertiser names, ad links, and ad descriptions
- Handles multiple ads per advertiser
- Outputs structured data ready for CSV or JSON
- Supports dynamic content loading via browser automation
Data Structure
Each scraped ad contains:
- Name: Advertiser or brand name
- Link: URL of the ad or landing page
- Description: Text or creative of the ad
Usage
- Set your search parameters such as keywords, advertiser, or location
- Run the scraper to collect ads
- Export results to CSV or JSON if needed
Example Output
| Name | Link | Description |
|---|---|---|
| Brand A | https://brand.com/landing | Buy now and save 30% |
| Brand B | https://shop.example.com | Limited time offer |
Notes
- Only public ads are accessible
- Scraping large volumes may trigger CAPTCHA or temporary blocks
- Use visible browser mode for best results
- Respect Facebook’s Terms of Service and local laws
Use Cases
- Ad creative research
- Competitor ad monitoring
- Market trend analysis
- Marketing intelligence dashboards
Limitations
- Cannot access private or unpublished ads
- Facebook UI changes may require updates to the scraper
- Heavy usage may require proxies to avoid blocks
