Meta Ad Library Scraper Nike Example Task

Created by

Mary Lou

Actor

Meta (Facebook & Instagram) Ads Library Scraper

Example task that scrapes Nike's ads from the Meta (Facebook & Instagram) Ad Library for competitor analysis. Extracts ad creatives, copy, start dates, platforms, and reach — ready to adapt for any brand or advertiser page.

Try for free

Meta (Facebook & Instagram) Ads Library Scraperjmlp/meta-ad-library-scraper

Page name

Active

Format

Headline

+8 fields

Input

Page ID or name:15087023444

Active status:active

Country:ALL

Proxy:{2 fields}

Max concurrency:4

Max ads:100

Delay between pages (ms):300

Page size:10

Raw output:false

Proxy rotation attempts:3

Checkpoint progress:true

Continue from last run:false

Shard split threshold:1500

TLS fingerprint:chrome146

Output fields

Page name

Active

Format

Headline

Ad copy text

Button text

Landing page

Start date

End date

Platforms

Variant count

Ad ID

How it works

Sign up on Apify or log in

The Meta (Facebook & Instagram) Ads Library Scraper Actor is ready to run with the inputs already set for "Meta Ad Library Scraper Nike Example Task". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Meta Ad Library Scraper Nike Example Task" task

The Meta (Facebook & Instagram) Ads Library Scraper Actor will start running based on the input automatically. You can also change all the input fields, like page id or name, active status, and more, to match your specific use case.

Receive the "Meta Ad Library Scraper Nike Example 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 page name, active, format, 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 "Meta Ad Library Scraper Nike Example Task" task via API.