Shopify Stores Running Meta Ads - Agency Lead Finder

Find Shopify brands that are spending money on Meta ads right now - and get them as verified, contactable leads with proof attached.

Enter the niche you sell services into, such as pet supplements, organic skincare, or home fragrance. The Actor sweeps the Meta Ad Library for active advertisers in that niche, verifies which of them run on Shopify, deep-analyzes only the verified stores, and delivers qualified leads with contact email, live-ad evidence links, missing-app gaps, and a transparent 0-100 fit score.

A brand paying for traffic today has budget and urgency today. That is the moment to pitch them email flows, CRO, subscriptions, reviews, or loyalty - before their agency does.

Why use this instead of a store directory?

Store databases tell you a pixel was installed at some point. This Actor shows you who is actively buying traffic this week, with links to the live ads as proof:

• Live ad evidence, not stale pixels. Every lead links to its ads in the Meta Ad Library, including a one-click "all active ads by this page" link you can open during outreach.
• Verified Shopify, verified for free. Non-Shopify advertisers (marketplaces, retailers, app stores) are filtered out with free storefront checks before any paid analysis happens.
• You only pay for delivered leads. Advertisers that turn out to be unreachable, unverifiable, or a bad fit are never charged for.
• Never pay for the same lead twice. The Actor remembers every store it has delivered to you (in a private key-value store in your account) and skips them on re-runs - so a weekly schedule keeps producing only fresh leads. You can also paste your own exclusion list (existing clients, CRM contacts).
• Service-fit filtering. Tell it what you sell (email/SMS, CRO, subscriptions, reviews, loyalty) and it returns only stores that are missing that part of their stack - with the already-installed tools listed so you never pitch Klaviyo to a Klaviyo store.
• Transparent scoring. Every lead carries a deterministic score breakdown (ad traction, contactability, gap fit, store maturity, dropshipper-risk penalty). No black box.

How to use it

1. Enter your niche keyword (the market your service targets).
2. Optionally pick your service focus so results are filtered to stores missing that app category.
3. Click Start. A typical default run finishes in a few minutes.
4. Open the Qualified leads table, or export JSON/CSV/Excel from the dataset for your CRM or outreach tool.

Input

Field	Default	What it does
niche	-	Meta Ad Library search phrase, e.g. pet supplements
extraKeywords	[]	Up to 4 extra search phrases to widen the sweep
serviceFocus	general	Filter to stores missing your service (email/SMS, CRO, subscriptions, reviews, loyalty)
maxLeads	10	Stop after this many qualified leads - you only pay for what is delivered
requireEmail	false	Only deliver leads that include a contact email
rememberDeliveredLeads	true	Skip (and never re-charge) stores delivered in previous runs
excludeDomains	[]	Your own skip-list: existing clients, CRM contacts, competitors
country	US	Ad Library country code
maxAds	50	Active ads to scan before deduplicating advertisers
maxStoreAnalyses	12	Verified Shopify stores to deep-analyze
minFitScore	0	Deliver only leads at or above this 0-100 score

Output

Each qualified lead is one dataset row. Simplified example:

{
    "domain": "wuffes.com",
    "storeUrl": "https://wuffes.com",
    "brandName": "Wuffes",
    "fitScore": 78,
    "fitGrade": "B",
    "scoreBreakdown": { "adTraction": 27, "contactability": 20, "gapFit": 14, "storeMaturity": 17, "riskPenalty": 0 },
    "email": "hello@wuffes.com",
    "activeAdsSeen": 5,
    "adFirstSeen": "2026-05-14",
    "adLastSeen": "2026-07-29",
    "adPlatforms": ["FACEBOOK", "INSTAGRAM"],
    "sampleAdHeadline": "Vet-Formulated Hip & Joint Chews",
    "adLibraryUrls": ["https://www.facebook.com/ads/library/?id=1996093830997140"],
    "adLibraryPageUrl": "https://www.facebook.com/ads/library/?active_status=active&view_all_page_id=234739369891224&country=US",
    "shopifyVerified": true,
    "shopifyEvidence": "products-json",
    "likelyShopifyPlus": false,
    "monthlyRevenueUsdEstimate": 85000,
    "customerSegment": "mid-market",
    "dropshipperRisk": "low",
    "serviceFocus": "email_sms",
    "gapMatched": true,
    "missingStack": ["Email & SMS marketing", "Loyalty program", "Subscriptions"],
    "detectedTools": [],
    "pitchAngles": ["No subscriptions - pitch recurring revenue for consumables."]
}

You can download the dataset in JSON, CSV, Excel, or HTML formats, or pull it through the API.

Main data fields

Field	Meaning
fitScore, fitGrade, scoreBreakdown	Deterministic 0-100 agency-fit score with every component exposed
email, phone, socials	Best discovered contact routes (emails are sanitized and de-junked)
activeAdsSeen, adFirstSeen, adLastSeen	Ad traction observed in the scan window
adLibraryPageUrl, adLibraryUrls	Live proof links to the brand's ads in the Meta Ad Library
shopifyEvidence	How the store was verified (products-json, shopify-headers, html-markers)
missingStack, detectedTools, gapMatched	What the store lacks vs. already has for your service focus
monthlyRevenueUsdEstimate, customerSegment, dropshipperRisk, isScaling	Qualification signals from the store deep-analysis
pitchAngles	Ready-to-use opening angles based on detected gaps

How much does a run cost?

Pricing is pay-per-event: you are charged only for each qualified lead actually delivered, plus a negligible run-start fee. Leads filtered out by verification, missing email, or gap mismatch cost you nothing from this Actor.

The two upstream Actors bill their usage separately at their own rates: the Meta Ad Library scan (about $0.04 for the default 50-ad sweep) and the store deep-analysis (about $0.02 per verified store, at most maxStoreAnalyses). The Actor pins hard budget ceilings on both nested calls, and it never analyzes stores it could not deliver within your run budget. A typical default run delivering ~9 leads costs about $0.20 of upstream usage in total.

Tips for better lead lists

• Niche down the keyword. pet supplements beats pets; the Ad Library keyword search is literal, so use the phrase a brand would put in its own ad copy.
• Use serviceFocus. A 10-lead list of stores that all lack your exact service converts far better than a general list.
• Raise maxAds for thin niches. If a narrow niche yields few advertisers, scan 100-150 ads to surface more unique brands.
• Turn on requireEmail when you feed the output straight into a cold-email tool.
• Re-run weekly. Active advertisers rotate constantly; fresh campaigns (recent adLastSeen) are your warmest openers - "I saw the ad you launched this week" is a real line you can use. With rememberDeliveredLeads on (the default), every re-run returns only stores you have never seen before.

Limitations and fair use

• The Meta Ad Library keyword search matches ad text, not product taxonomy, so an occasional off-niche advertiser can appear; the Shopify verification and scoring layers push these to the bottom.
• Ad counts reflect the scanned sample, not the brand's entire campaign portfolio.
• Revenue figures are estimates derived from public storefront signals and should be treated as directional.
• The Actor reads only publicly available data (public ad archive, public storefront pages). Use the contact data responsibly and comply with applicable outreach and privacy laws (CAN-SPAM, GDPR, etc.) in your jurisdiction.

Support

Found an issue or want an extra signal (TikTok ads, Google ads, more app categories)? Open an issue on the Actor's Issues tab - feedback directly shapes the roadmap.