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January 26, 2026

Tools to Scrape Competitor Facebook Ads: What Actually Works

Let’s be honest: most Facebook ad “ideas” aren’t born from thin air. They come from seeing what’s already working and asking, why is that ad everywhere right now? If you’ve ever wondered how competitors seem to launch winning creatives on repeat, the answer usually isn’t luck. It’s research. Specifically, ad scraping and monitoring tools that reveal what brands are testing, scaling, and quietly killing off.

The good news? You don’t need insider access or a massive budget to do the same. Today, there are tools that make it surprisingly easy to track competitor Facebook ads, spot patterns, and reverse-engineer strategies, without crossing ethical or legal lines. In this guide, we’ll break down the tools marketers actually use, what they’re good at, and how to choose one without wasting money on features you’ll never touch.

Extuitive: AI-Driven Ad Validation as an Alternative to Scraping

At Extuitive, we help teams evaluate and improve advertising performance without relying on competitor ad scraping. Instead of collecting ads from third-party platforms, we use AI agents modeled on large, diverse consumer populations to simulate how real audiences respond to different creative concepts, messaging, and positioning.

Many teams explore scraping tools when they want insight into what performs well in Facebook ad environments, but the underlying need is usually faster learning and lower risk. We address that need by helping companies, agencies, and internal teams validate their own ad ideas against realistic consumer behavior before launch, reducing wasted spend and guesswork.

By focusing on predictive insight rather than direct data extraction, we help organizations iterate faster, make clearer decisions, and launch ads with more confidence across social advertising channels.

Tools That Help You Scrape and Analyze Competitor Facebook Ads

1. Apify

Built as a general-purpose scraping infrastructure, they’re usually brought in when teams need direct access to Facebook’s public data rather than a finished interface. In competitor ad research, they’re often used to pull ads from Facebook’s Ad Library and store them as structured datasets for further work.

Their strength is control. Instead of limiting how Facebook ad data is collected, they let teams decide how often to scrape, what fields to extract, and where that data ends up. This fits teams that treat competitor ads as raw input rather than final insight.

Key Highlights:

  • Flexible scraping setup for public Facebook data
  • Supports scheduled and large-scale data collection
  • Exports structured datasets for analysis
  • Works with both code and no-code workflows

Services:

  • Facebook Ad Library scraping
  • Facebook posts and page data extraction
  • Web scraping APIs and infrastructure
  • Data storage and integrations

Contact Information:

  • Website: apify.com
  • Email: hello@apify.com
  • Twitter: x.com/apify
  • LinkedIn: www.linkedin.com/company/apify
  • Address: Vodickova 704/36, 110 00 Prague 1, Czech Republic

2. PhantomBuster

They’re commonly used when teams want lightweight access to Facebook-related data without building scraping logic from scratch. The platform runs predefined automations that collect visible activity from Facebook pages and related Meta properties, then feeds that data into simple workflows.

In competitor Facebook ad research, they usually sit alongside other tools. Teams rely on them to monitor page behavior, content updates, or engagement patterns that help contextualize ad activity, rather than to build a full historical archive of ads.

Key Highlights:

  • Automation-driven data collection
  • Works across Facebook and other Meta platforms
  • Focus on monitoring activity over time
  • Minimal setup and no custom code required

Services:

  • Facebook page and content data extraction
  • Automated data workflows
  • Integration with CRM and outreach tools
  • Scheduled monitoring tasks

Contact Information:

  • Website: phantombuster.com
  • Facebook: www.facebook.com/phbuster
  • Twitter: x.com/officialpbuster
  • LinkedIn: www.linkedin.com/company/phantombuster-official
  • Instagram: www.instagram.com/officialphantombuster

3. Stevesie

This platform takes a more technical route without requiring users to write code. Instead of screen scraping, they rely on APIs and HAR files to collect structured data from platforms like Facebook. For competitor Facebook ad research, they’re often used to access data from the Facebook Ads Library in a way that’s stable and predictable. That makes them appealing to teams who want the data itself, not a visual research tool.

Key Highlights:

  • API-based approach instead of screen scraping
  • Facebook Ads Library data support
  • Focus on structured, exportable data
  • Works for non-technical users

Services:

  • Facebook Ads Library scraping
  • Social media data APIs
  • HAR-based data extraction
  • CSV and JSON exports

Contact Information:

  • Website: stevesie.com
  • Twitter: x.com/stevesiedata
  • LinkedIn: www.linkedin.com/company/stevesiedata

4. Foreplay

Where scraping tools focus on collecting data, this platform focuses on how teams actually work with competitor ads once they’ve been found. It connects directly to Facebook’s Ad Library and tracks ads visually over time. Teams use it less for exporting raw data and more for organizing, comparing, and reviewing competitor creatives. In practice, it often replaces spreadsheets when the goal is creative analysis rather than data science.

Key Highlights:

  • Built-in connection to Meta Ad Library
  • Visual tracking of competitor ads
  • Focus on creatives, hooks, and formats
  • Designed for team collaboration

Services:

  • Competitor ad tracking
  • Ad saving and swipe files
  • Creative analysis and reporting
  • Collaboration tools

Contact Information:

  • Website: www.foreplay.co
  • App Store: apps.apple.com/ca/app/foreplay-ad-swipe-file/id6466097243
  • Google Play: play.google.com/store/apps/details?id=co.foreplay.ForeplayMobile
  • Facebook: www.facebook.com/foreplay.co
  • Twitter: x.com/foreplay_co
  • LinkedIn: www.linkedin.com/company/foreplayco
  • Instagram: www.instagram.com/foreplay_co

5. Minea

They position themselves around monitoring competitor ads and spotting product patterns across Facebook and other platforms. In practice, teams use the tool to browse active ads, filter by different signals, and understand what types of products and creatives are being pushed at any given time.

For competitor Facebook ad research, they mainly serve people who want a visual overview rather than raw datasets. Ads are presented in a way that helps users quickly scan trends, compare formats, and track how often certain products appear in paid campaigns.

Key Highlights:

  • Focus on Facebook ad monitoring with visual browsing
  • Filtering and search to narrow down competitor ads
  • Tracks ads across multiple social platforms
  • Designed around product and creative discovery

Services:

  • Facebook ad spying and browsing
  • Competitor ad tracking
  • Cross-platform ad discovery
  • Creative and product research tools

Contact Information:

  • Website: www.minea.com
  • Facebook: www.facebook.com/groups/736583470385130
  • Instagram: www.instagram.com/mineaapp

6. AdSpy

This platform centers on searchable access to a very large collection of Facebook and Instagram ads. Instead of curating inspiration, it leans into letting users query ads by text, landing pages, comments, or advertiser details.

When used for scraping competitor Facebook ads, it functions more like a search engine than a dashboard. Teams typically rely on it to dig into specific angles, keywords, or advertiser behavior rather than browsing ads casually.

Key Highlights:

  • Search-driven access to Facebook and Instagram ads
  • Detailed filters based on ad content and metadata
  • Covers multiple countries and languages
  • Emphasis on historical and long-running ads

Services:

  • Facebook and Instagram ad search
  • Competitor advertiser research
  • Ad comment and engagement analysis
  • Landing page inspection

Contact Information:

  • Website: www.adspy.com
  • Twitter: x.com/adspytool

7. BigSpy

They focus on collecting ads from multiple advertising networks, including Facebook, and presenting them in a searchable interface. The tool is often used to quickly scan what types of creatives are active within a niche or region.

In competitor Facebook ad research, they’re typically used for early-stage exploration. Teams use it to get a sense of volume, creative direction, and repetition across advertisers without going deep into performance analysis.

Key Highlights:

  • Multi-platform ad collection including Facebook
  • Simple filters for creative and placement types
  • Supports international ad discovery
  • Visual-first browsing experience

Services:

  • Facebook ad browsing
  • Competitor creative discovery
  • Cross-network ad search
  • Basic ad filtering and sorting

Contact Information:

  • Website: bigspy.com
  • Email: natalie@bigspy.com
  • Twitter: x.com/BigSpyOfficial
  • LinkedIn: www.linkedin.com/company/bigspy

8. PowerAdSpy

This tool approaches competitor research by aggregating ads from Facebook and several other networks into one system. It’s often used by teams that want to monitor how advertisers shift messaging across channels.

For Facebook ads specifically, it allows users to track creatives, placements, and formats over time. The platform leans toward comparative research rather than raw scraping, helping users observe patterns rather than export datasets.

Key Highlights:

  • Facebook ad tracking alongside other networks
  • Focus on competitor strategy comparison
  • Filters by ad type, placement, and industry
  • Browser extension available for quick access

Services:

  • Facebook ad spying
  • Competitor campaign monitoring
  • Multi-network ad research
  • Ad format and placement analysis

Contact Information:

  • Website: poweradspy.com
  • Twitter: x.com/poweradspy
  • LinkedIn: www.linkedin.com/company/poweradspy
  • Phone: +1 628 345 5374

9. AdHeart

They offer a streamlined way to browse and filter Facebook ads with an emphasis on speed and simplicity. The interface is typically used by people who want to scan ads quickly without setting up complex searches. In the context of competitor Facebook ad scraping, they’re closer to a discovery tool than a data pipeline. Users rely on it to spot active ads, review creatives, and save examples for later reference.

Key Highlights:

  • Facebook-focused ad browsing
  • Lightweight interface for fast searches
  • Emphasis on creative visibility
  • Minimal setup required

Services:

  • Facebook ad discovery
  • Competitor creative tracking
  • Ad saving and filtering
  • Trend observation

Contact Information:

  • Website: adheart.me
  • Email: sales@adheart.me
  • Facebook: www.facebook.com/adheartofficial
  • LinkedIn: www.linkedin.com/company/adheart
  • Instagram: www.instagram.com/adheart_official
  • Address: 436518 Agias Faneromenis, 143; PATSIA COURT, 2nd floor, Flat/Office 201

Conclusion

Scraping competitor Facebook ads isn’t about copying what others are doing or chasing every new trend that pops up in the ad library. It’s really about context. These tools give you a way to see what’s being tested, what’s sticking around, and how different brands approach messaging, visuals, and offers over time.

What becomes clear pretty quickly is that no single tool fits every workflow. Some are better for raw data, some for visual scanning, and others for organizing ideas once you’ve already found them. The value comes from knowing what question you’re trying to answer before you open the tool. Are you looking for patterns, inspiration, proof of consistency, or just a sense of what’s crowded right now?

Used thoughtfully, competitor ad scraping becomes less about spying and more about learning. It helps you avoid obvious mistakes, spot overused angles, and notice gaps others may be ignoring. In the end, the tools don’t make the decisions for you. They just give you a clearer view of the playing field so you can make better ones on your own terms.

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