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Build a language-filtered ad corpus

Build a corpus of ads written in one language so teams can study copy, creative patterns, and landing-page themes.

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Meta Ad Library Scraper — Ad Creatives, Spend & Targeting
Meta Ad Library Scraper — Ad Creatives, Spend & Targetingkhadinakbar/meta-ad-library-scraper
Page Name (Advertiser)
Ad Body Text
Headline
Landing Page Domain
+14 fields
Text
Number
Boolean
List
Object

Input

Search keyword or phrase:travel deals
Countries:US+1
Content languages:es
Max ads to return:25
Sort results by:most_recent

Output fields

Page Name (Advertiser)
Ad Body Text
Headline
Landing Page Domain
CTA Type (from Facebook)
Detected CTA
Ad Category
Image URLs
Video URLs
Is Active
Running Days
Spend Lower Bound
Spend Upper Bound
Currency
Impressions Lower Bound
Impressions Upper Bound
Ad Summary (LLM-ready)
Data Mode

How it works

Sign up on Apify or log in

The Meta Ad Library Scraper — Ad Creatives, Spend & Targeting Actor is ready to run with the inputs already set for "Build a language-filtered ad corpus". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a language-filtered ad corpus" task

The Meta Ad Library Scraper — Ad Creatives, Spend & Targeting Actor will start running based on the input automatically. You can also change all the input fields, like search keyword or phrase, countries, and more, to match your specific use case.

Receive the "Build a language-filtered ad corpus" 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 (advertiser), ad body text, headline, 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 language-filtered ad corpus" task via API.

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Integrate "Build a language-filtered ad corpus" into your workflow

Connect "Build a language-filtered ad corpus" with 100+ integrations, or run it via API or MCP.

Webhook

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