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Ads Library Scraper Task

Scrape ads for Nike shoes on Facebook, Google and Linkedin

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Ad Library Scraper — Google, Meta & LinkedIn
Ad Library Scraper — Google, Meta & LinkedInmediocre_interest/ads-library-scraper
Platform
Advertiser
Title
Format
+5 fields
Text
Number
Boolean
List
Object

Input

Platforms:google+2
Search terms:running shoes
Domains:nike.com
Match mode:phrase
Drop irrelevant ads:true
Countries:US
Max advertisers per term:3
Ad status:all
Media type:all
Ad type:all
Fetch full ad details:true
Max ads per query:20
Max requests per crawl:1000
Include raw payload:true

Output fields

Platform
Advertiser
Title
Format
First shown
Last shown
Active
Impressions
Ad

How it works

Sign up on Apify or log in

The Ad Library Scraper — Google, Meta & LinkedIn Actor is ready to run with the inputs already set for "Ads Library Scraper Task". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Ads Library Scraper Task" task

The Ad Library Scraper — Google, Meta & LinkedIn Actor will start running based on the input automatically. You can also change all the input fields, like platforms, search terms, and more, to match your specific use case.

Receive the "Ads Library Scraper Task" 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 platform, advertiser, title, 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 "Ads Library Scraper Task" task via API.

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Integrate "Ads Library Scraper Task" into your workflow

Connect "Ads Library Scraper Task" with 100+ integrations, or run it via API or MCP.

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