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Welcome

The Adflex API gives you access to one of the largest ad databases on the internet, with over 6 million ads scraped daily from the top advertising networks. From social to native platforms, we deliver structured, searchable ad data to help you build, grow, and scale your business.

Supported Ad Networks

We provide ad data from:

  • Meta Ad Library
  • Facebook Ads
  • Native Ads
  • YouTube Ads
  • Twitter Ads
  • Google Display Ads
  • Pinterest Ads
  • Reddit Ads

Why Adflex?

  • 6M+ ads daily – the largest ad scraping operation online
  • Advanced filtering options – search by keywords, domains, countries, languages, platforms, CTAs, and more
  • Consistent, integration‑friendly data across networks
  • Simple REST API – get exactly the data you need, fast

What Can You Build with Adflex?

With the Adflex API, you can build:

  • Competitive research tools for marketing teams
  • Dashboards for performance and trend analysis
  • AI‑powered ad idea generators or inspiration platforms
  • Competitor ad tracking and alert systems
  • Aggregated ad libraries for clients or internal use
  • Discovery tools for media buyers to find winning creatives

Data Coverage

Adflex operates three independent scraping engines that work independently to ensure high reliability and deep data coverage. Each engine is responsible for collecting data from multiple advertising platforms. After ads are downloaded, they are processed through our enrichment pipelines. These pipelines analyze the ad creative, scan the landing page, extract structured metadata, and gather detailed campaign‑level insights.

  • Current database: over 400 million ads and growing rapidly
  • Daily ingestion: over 6 million ads from all supported platforms

Daily Volume by Platform

These numbers reflect how many unique ads and total impressions we observe per platform each day:

PlatformUnique Ads per DayTotal Impressions Observed per Day
Meta Ad Library350,000900,000
Facebook Ads150,0001,200,000
Native Ads36,000900,000
YouTube Ads50,000500,000
Twitter (X)15,0001,600,000
Google Display20,000150,000
Pinterest Ads160,0001,100,000
Reddit Ads3,000130,000

Country Coverage per Platform

The number of countries (GEOs) in which we track ads varies by platform:

PlatformNumber of Countries (GEOs)
Meta Ad Library67
Facebook Ads230
Native Ads95
YouTube Ads230
Twitter (X)230
Google Display95
Pinterest Ads230
Reddit Ads230

Data Fields Provided per Platform

Below are the detailed fields we provide for each advertising platform. Each dataset is structured and enriched to maximize usability and insights.

Meta Ad Library

  • Countries where ad is visible
  • Age and gender of target audience (EU only)
  • Ad impressions (EU only)
  • Ad format (image or video)
  • Ad language
  • Call‑to‑action type
  • Ad status (active or inactive)
  • Whether ad falls under special categories
  • First and last seen dates
  • Fanpage details: email, followers, category, verification status, Instagram follower count
  • Landing page data: CMS, funnel structure, ecommerce platform, affiliate network, tracker presence, arbitrage detection
  • Domain data: age and traffic (via SimilarWeb)

Facebook Ads

  • Countries where ad is visible
  • Advertiser interest and behavior targeting
  • Exact age and gender targeting (based on advertiser data, not viewer data)
  • View count (based on number of observed appearances)
  • Ad format (image or video)
  • Ad language
  • CTA type
  • First and last seen dates
  • Fanpage metadata: email, followers, category, verification status
  • Engagement: likes, comments, views, shares
  • Landing page analysis: CMS, funnel, ecommerce stack, affiliate or arbitrage presence
  • Domain data: age and traffic

Native Ads

  • Countries where ad is visible
  • Ad networks supported: Taboola, Outbrain, Revcontent, Dianomi, MGID, Plista, AdNow, AdsKeeper, Engageya, Midas, Colombia, AdBlade, Microsoft, Yandex, Media Go, PopIn, Net Success, Ad Style, Media Force
  • Publisher domain (website where ad appeared)
  • View count (based on number of observed appearances)
  • Ad placements and banner size
  • Ad format (image or video)
  • Ad language
  • Device and operating system
  • First and last seen dates
  • Landing page data: CMS, funnel, ecommerce platform, affiliate networks, trackers, arbitrage signals
  • Domain information: age and traffic

YouTube Ads

  • Countries where ad is visible
  • Language targeting of the ad
  • View count (based on number of observed appearances)
  • Publisher (YouTube channel where ad appeared)
  • Ad category and placements
  • Call‑to‑action type
  • Operating system targeting
  • First and last seen dates
  • Publisher channel subscriber count
  • Engagement: video views, comment count
  • Landing page tech stack and purpose
  • Domain age and traffic

Twitter (X) Ads

  • Countries where ad is visible
  • Language targeting
  • View count (based on number of observed appearances)
  • Publisher account (profile where ad appeared)
  • Ad category and placements
  • CTA type
  • OS targeting
  • First and last seen dates
  • Publisher account followers
  • Engagement: likes, reposts, comments
  • Landing page data
  • Domain metadata: age and traffic

Google Display Ads

  • Countries where ad is visible
  • Supported ad networks: Criteo, Adform, Adition, Google Display Network, Webgains, Engageya
  • Publisher domain
  • View count (based on number of observed appearances)
  • Ad category and placement
  • Format: image, GIF, or video
  • Language used in creative
  • Device and OS targeting
  • First and last seen dates
  • Landing page structure and technologies
  • Domain metadata: age and traffic

Pinterest Ads

  • Countries where ad is visible
  • Advertiser specified interest targeting
  • Age and gender targeting (based on advertiser settings)
  • Language targeting
  • View count (based on number of observed appearances)
  • Ad category (as labeled by Pinterest)
  • Placement targeting
  • Ad language and format (image or video)
  • CTA type
  • OS and device
  • Video duration
  • First published and last seen dates
  • Profile data: follower count and verification
  • Engagement metrics: saves, repins, likes
  • Landing page metadata
  • Domain traffic and age

Reddit Ads

  • Countries where ad is visible
  • Interest targeting (from advertiser)
  • Gender and language targeting
  • View count (based on number of observed appearances)
  • Placement targeting
  • Format (image or video)
  • Ad language
  • CTA type
  • Device and OS
  • Publish and last seen dates
  • Reddit account data: total karma and registration date
  • Engagement metrics: upvotes and comments
  • Landing page data
  • Domain age and traffic

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Quick Start Guide