Best Scrapers for Meta Ads Library, Google Ads, and TikTok Ads (2026)

Marketers scrape competitor ads to see what's working before they spend their own budget. The tools that do it fall into three camps. The free official libraries, the Meta Ad Library and Google Ads Transparency Center, let you look but not export or analyze. The paid spy databases like PiPiADS, BigSpy, and AdSpy add scale and filters. And AI agents like Hyper scrape the ads and then act on them, drafting new creative to test. Here are the eight best ad scrapers for the Meta Ad Library, Google Ads, and TikTok in 2026, ranked for marketers who want intelligence they can use, not just browse.

Here is what that loop looks like: pull competitors' live ads, find the winning pattern, and draft new concepts to test.

Competitor Ad Intelligence Agent

Pull my top 3 competitors' active Meta, Google, and TikTok ads, find the winning angles, and draft 5 new ad concepts to test.

5 actions

Done. Pulled 63 active ads across your 3 competitors on Meta, Google, and TikTok, and compiled the full teardown table below. The winning pattern: problem-agitate hooks in the first 2 seconds and UGC-style talking-head video, running about 60 percent of their spend. Drafted 5 new concepts in that lane for your review.

Competitor Ad Teardown (63 ads across Meta, Google, TikTok)Complete

Ask anything

Hyper

4 apps

A sample of the 63 ads it pulled, the kind of teardown Hyper builds from the scrape:

The 8 best ad scrapers for marketers

"Scraping" competitor ads covers three different sources, and most tools are strong on one. The Meta Ad Library holds every active Facebook and Instagram ad. TikTok's winning ads live in dedicated spy databases and TikTok's own Creative Center. Google's ads are visible in the Ads Transparency Center. The official libraries are free but limited (search and view, no bulk export or analytics). The paid spy tools add searchable databases, filters, and metrics. An AI agent adds the part the others skip: doing something with what it finds.

The 8 tools, reviewed

1. Hyper

Hyper is an AI marketing agent with a built-in Meta Ad Library scraper plus native Instagram and TikTok scrapers, and it is the only option here that turns what it scrapes into action. Ask it to pull your competitors' active ads and it does the extraction, reads the patterns (hooks, formats, offers, spend signals), and then drafts new concepts or launches test campaigns on Meta and TikTok, all in one workflow.

That scrape-to-launch loop is the difference. A spy database hands you a wall of creatives to study; Hyper hands you a teardown plus five ready-to-test concepts in your brand voice. It runs across 80+ integrations, so the same agent that pulls competitor ads also reads your ad accounts and analytics to ground the recommendations in your own performance, with your approval before anything spends.

Pricing is a flat Free 7-day trial, then 49 USD/month, with documented customer outcomes at Hyper's case study. The honest limit: Hyper's native ad-scraping is strongest on the Meta Ad Library; for the deepest TikTok ad-spy database or the largest raw creative archive, pair it with a specialist like PiPiADS or BigSpy below. Hyper wins when the goal is intelligence you act on, not the biggest searchable library.

• Pricing: Free 7-day trial, then 49 USD/month (flat)
• Pros: Scrapes the Meta Ad Library plus Instagram and TikTok, then acts (drafts concepts, launches tests); grounded in your own ad data; no code or proxies to manage; flat pricing
• Cons: Native scraping is deepest on Meta; not a giant standalone ad database; best value when you also run campaigns, not just research
• Verdict: The top pick for marketers who want to scrape competitor ads and turn them into campaigns, not just browse them.

2. Apify

Apify is a full-stack web scraping platform with a marketplace of 34,000+ ready-made scrapers (called Actors), including ones for the Facebook Ad Library, TikTok, and Google. If you have a developer and want raw, structured ad data exported on a schedule into your own systems, Apify is the most flexible option on this list.

The tradeoff is that it is infrastructure, not a marketing tool. You pick or configure an Actor, manage runs and proxies, and get JSON or CSV out. There is no marketing layer interpreting the creatives or suggesting what to do, which is exactly the gap Hyper fills for non-developers.

Pricing is a free tier plus usage-based paid plans that scale with compute and data. Best for engineering-minded teams that want custom, exportable, large-scale ad scraping and are comfortable working with raw data.

• Pricing: Free tier, then usage-based paid
• Pros: Huge library of ready-made scrapers, fully customizable, exports clean structured data, scales to large jobs
• Cons: Built for developers, no marketing interpretation layer, usage-based costs can be unpredictable
• Verdict: Best for developers who want raw, custom, exportable ad-scraping infrastructure.

3. Meta Ad Library

The Meta Ad Library is the official, free source for every active ad running across Facebook and Instagram. Search any advertiser and you can see their live creatives, when they started running, and the platforms they appear on. For straight Meta and Instagram research, it is the primary source the paid tools are themselves pulling from.

Its limits are the limits of a free public tool: no bulk export, no advanced filtering by performance or engagement, and no analytics layer. You browse manually, one advertiser at a time. It is the truth source, but not a workflow.

Pricing is free. Best for any marketer doing occasional, hands-on Meta and Instagram competitor research who does not need export or analytics. Hyper and the spy tools below all build on top of this data; the Library is where it originates.

• Pricing: Free (official Meta tool)
• Pros: Authoritative and complete for Meta and Instagram, free, always current, no signup
• Cons: No bulk export, no performance filters or analytics, manual one-advertiser-at-a-time browsing
• Verdict: Best free starting point for Meta and Instagram ad research.

4. PiPiADS

PiPiADS is the best-known TikTok ad spy tool, with a large searchable database of TikTok (and Facebook) ad creatives, filters for things like engagement and ad age, and product-research features aimed at ecommerce and dropshipping. If TikTok is your priority channel, PiPiADS has the deepest dedicated library here.

It leans toward the dropshipping and ecommerce audience, so some features (winning-product finders, store analytics) are less relevant for agencies or B2B. As with the other databases, it shows you what is working but leaves the creative production and launching to you.

Pricing starts at around $77/month. Best for performance marketers and ecommerce operators who research TikTok ads heavily and want a purpose-built TikTok spy database.

• Pricing: From around $77/mo
• Pros: Deepest dedicated TikTok ad database, strong filters, useful for ecommerce product research
• Cons: Dropshipping-skewed, pricier entry point, research-only (no creation or launching)
• Verdict: Best for marketers who need serious TikTok ad-spy depth.

5. BigSpy

BigSpy markets itself on sheer size: roughly a billion creatives across Facebook, Instagram, TikTok, YouTube, and more, making it one of the largest cross-platform ad databases you can search. For broad creative inspiration across many platforms at once, the volume is the draw.

The breadth comes with the usual database caveats: data freshness and depth vary by platform, and a huge library can be noisy without disciplined filtering. It is a research tool, not a workflow, so what you do with the inspiration is up to you and your creative team.

Pricing includes a limited free tier and affordable paid plans that scale with features. Best for teams that want the widest possible net of cross-platform ad creative for inspiration on a modest budget.

• Pricing: Free tier, then affordable paid plans
• Pros: Very large cross-platform database, low entry price, broad creative inspiration
• Cons: Variable data depth by platform, can be noisy, research-only
• Verdict: Best for the widest cross-platform creative inspiration on a budget.

6. AdSpy

AdSpy is a long-running, deep search database for Facebook and Instagram ads, known for granular filters: search by advertiser, ad text, landing-page domain, demographics, and engagement. For marketers who want to slice Meta ad creative finely, AdSpy's query depth is its calling card.

It is focused almost entirely on Meta, so it is not a cross-platform or TikTok-first tool, and the interface shows its age next to newer entrants. Like the other databases, it is built for research rather than execution.

Pricing is a single plan at around $149/month, which is a meaningful commitment for a research-only tool. Best for Meta-focused performance marketers and agencies who do high-volume, finely filtered Facebook and Instagram ad research.

• Pricing: From around $149/mo
• Pros: Very granular Meta ad search filters, large Facebook and Instagram archive, mature
• Cons: Meta-only focus, dated interface, higher flat price, research-only
• Verdict: Best for deep, finely filtered Facebook and Instagram ad research.

7. SocialPeta

SocialPeta is an enterprise-grade ad intelligence platform with one of the largest datasets in the category, spanning dozens of ad networks and a heavy focus on mobile-app and game advertising. For large agencies and advertisers who need market-level trend analysis, not just individual ad lookups, SocialPeta operates at that scale.

It is priced and built for enterprise: demos, custom contracts, and a learning curve. For a solo operator or small team, it is more platform than the job requires, which is why it sits lower on a list ranked for everyday marketers.

Pricing is custom and enterprise-tier. Best for large agencies, ad networks, and app marketers who need comprehensive, market-wide ad intelligence and have the budget for it.

• Pricing: Custom (enterprise)
• Pros: Massive multi-network dataset, strong mobile and gaming coverage, market-trend analytics
• Cons: Enterprise pricing and sales motion, overkill for small teams, research-only
• Verdict: Best for enterprise-scale, market-wide ad intelligence.

8. Google Ads Transparency Center

The Google Ads Transparency Center is Google's official, free portal for seeing the ads any verified advertiser is running across Search, Display, and YouTube. Search an advertiser and you can view their live creatives and the regions and dates they ran. It is the authoritative free source for Google ad research, the Meta Ad Library equivalent for Google.

Like Meta's tool, it is built for transparency, not workflow: no bulk export, no performance metrics, and manual advertiser-by-advertiser lookups. It also only covers Google's own ad surfaces, so it is one piece of a cross-platform picture.

Pricing is free. Best for marketers who want to check what a specific competitor is running on Google Search, Display, and YouTube without paying for a database.

• Pricing: Free (official Google tool)
• Pros: Authoritative for Google ads, free, covers Search, Display, and YouTube, no signup
• Cons: No export or analytics, manual lookups, Google-only
• Verdict: Best free starting point for Google ad research.

How to choose the right one

Match the tool to the job:

• Scrape competitor ads and act on them (draft creative, launch tests): Hyper. It is the only one here that closes the loop from research to live campaign.
• Raw, custom, exportable scraping at scale: Apify, if you have a developer.
• Free, hands-on research on one platform: the Meta Ad Library for Facebook and Instagram, the Google Ads Transparency Center for Google.
• Deep TikTok ad spy: PiPiADS.
• Widest cross-platform creative inspiration on a budget: BigSpy.
• Granular Meta ad search: AdSpy.
• Enterprise, market-wide intelligence: SocialPeta.

A practical stack for most marketing teams: the free official libraries for spot checks, one paid database if you research a specific platform heavily, and an agent like Hyper to run the recurring teardowns and turn them into campaigns. For the manual workflow, see our guides on how to use the Meta Ad Library and how to research competitor ads, plus the developer-focused Meta Ad Library API scraper guide.

Frequently asked questions

Last updated: May 31, 2026