Build a batch brand ad corpus
Search several brand or competitor names in one run and combine the matching ad records for review or analysis.
Meta Ad Library Scraper — Ad Creatives, Spend & Targetingkhadinakbar/meta-ad-library-scraper
Ad ID
Facebook Page ID
Page Name (Advertiser)
Ad Body Text
+34 fieldsTextNumberBooleanListObject
Input
Multiple keywords (batch search):nike+2
Countries:US+1
Ad status:ALL
Media type:ALL
Max ads to return:10
Sort results by:most_recent
Enrich with auto-analysis:true
Use provider fallback:true
Output fields
Ad ID
Facebook Page ID
Page Name (Advertiser)
Ad Body Text
Headline
Link Caption (Domain)
Landing Page URL
Landing Page Domain
Ad Snapshot URL
Image URLs
Video URLs
CTA Type (from Facebook)
Carousel Cards
Spend Lower Bound
Spend Upper Bound
Currency
Impressions Lower Bound
Impressions Upper Bound
EU Total Reach
Ad Delivery Start Date
Ad Delivery Stop Date
Ad Creation Time
Is Active
Publisher Platforms
Ad Languages
Demographic Distribution
Delivery by Region
Detected CTA
Ad Category
Running Days
Word Count
Hashtag Count
Emoji Count
Ad Summary (LLM-ready)
Search Query Used
Country Filter Applied
Data Mode
Scraped Timestamp
Sign up on Apify01
Create your Apify account to access the Meta Ad Library Scraper — Ad Creatives, Spend & Targeting.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
