Build a LinkedIn ad corpus for a date window

Created by

Khadin Akbar

Actor

LinkedIn Ad Library Search Scraper

Collect public LinkedIn ad records that fall within a start and end date for evidence-based campaign review or archiving.

Try for free

LinkedIn Ad Library Search Scraperkhadinakbar/linkedin-ad-library-search-scraper

Advertiser

Ad run start

Ad run end

Estimated impressions

+3 fields

Input

Creative keywords:data warehouse

Start date:2026-01-01

End date:2026-06-30

Maximum ad records:10

Maximum pages per search:1

Fetch optional details:true

Response format:concise

Output fields

Advertiser

Ad run start

Ad run end

Estimated impressions

Impression countries

Targeting summary

Ad URL

How it works

Sign up on Apify or log in

The LinkedIn Ad Library Search Scraper Actor is ready to run with the inputs already set for "Build a LinkedIn ad corpus for a date window". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a LinkedIn ad corpus for a date window" task

The LinkedIn Ad Library Search Scraper Actor will start running based on the input automatically. You can also change all the input fields, like creative keywords, start date, and more, to match your specific use case.

Receive the "Build a LinkedIn ad corpus for a date window" 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 advertiser, ad run start, ad run end, 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 "Build a LinkedIn ad corpus for a date window" task via API.