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Count how many ads a page runs before you pay

Runs in count mode: for each advertiser you name, it returns the Ad Library's own total number of matching ads and no ad rows at all, which costs nothing beyond the start event. Use it to size a job, to compare share of voice between advertisers, or to check that a page has ads running before you spend on a full pull.

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Facebook Ads Library Scraper - Ad Library & Spy
Facebook Ads Library Scraper - Ad Library & Spyautomation_craft/facebook-ads-library-scraper
Library ID
Advertiser
Active
Started
+11 fields
Text
Number
Boolean
List
Object

Input

Advertiser names:Gymshark+1
Countries:US
Only count matching ads (free):true

Output fields

Library ID
Advertiser
Active
Started
Days running
Format
Platforms
Ad text
Headline
CTA
Landing domain
Spend
Impressions
Creative reuse
Ad Library URL

How it works

Sign up on Apify or log in

The Facebook Ads Library Scraper - Ad Library & Spy Actor is ready to run with the inputs already set for "Count how many ads a page runs before you pay". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Count how many ads a page runs before you pay" task

The Facebook Ads Library Scraper - Ad Library & Spy Actor will start running based on the input automatically. You can also change all the input fields, like advertiser names, countries, and more, to match your specific use case.

Receive the "Count how many ads a page runs before you pay" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as library id, advertiser, active, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Count how many ads a page runs before you pay" task via API.

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Integrate "Count how many ads a page runs before you pay" into your workflow

Connect "Count how many ads a page runs before you pay" with 100+ integrations, or run it via API or MCP.

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