Ecommerce Store Lead Scraper

Extract high-quality ecommerce store leads with built-in intelligence. Go beyond basic scraping — get platform detection, tech stack analysis, revenue estimates, contact info, opportunity detection, and lead scoring (0–100).

Built for agencies, developers, and service providers who sell to ecommerce stores.

What makes this different

Most scrapers just collect URLs and emails. This Actor tells you:

• What platform they use (Shopify, WooCommerce, Magento, BigCommerce, Squarespace, PrestaShop, Wix)
• What tools they run (Klaviyo, Stripe, Yotpo, Google Analytics, Intercom, etc.)
• What's missing — services they don't have yet (opportunities to sell)
• Estimated revenue based on traffic signals, product count, and market
• Lead score (0–100) so you call the best leads first

Features

Multi-platform detection

Automatically fingerprints the ecommerce platform from HTML patterns and response headers. Supports Shopify, WooCommerce, Magento, BigCommerce, Squarespace, PrestaShop, and Wix.

Tech stack analysis

Detects installed tools across five categories:

Category	Tools detected
Email marketing	Klaviyo, Mailchimp, Omnisend, Drip
Reviews	Yotpo, Judge.me, Loox, Stamped
Payment	Stripe, PayPal, Square, Razorpay
Analytics	Google Analytics, Facebook Pixel
Live chat	Intercom, Drift, Tawk.to, Zendesk

Opportunity detection

When a store is missing a key tool, the Actor flags it as an opportunity with a suggested service, recommended tools, and a pitch line. Know exactly what to sell before you reach out.

Revenue estimation

Estimates monthly revenue range using traffic signals, product catalog size, country-specific average order values, and a standard 2% conversion rate. Directionally accurate (±30%) — useful for qualifying leads, not accounting.

Lead scoring (0–100)

Weighted scoring based on:

• Traffic level (30 pts)
• Contact email found (25 pts)
• Product count (15 pts)
• Social media presence (up to 14 pts)
• Tech stack completeness (up to 10 pts)
• Opportunity count (up to 10 pts)

Contact extraction

Extracts emails from homepage, header, footer, and contact/about pages. Also finds phone numbers and social media profiles (Instagram, Facebook, TikTok, X/Twitter, Pinterest, YouTube, LinkedIn).

Smart filtering

Filter results by platform, country, product count, traffic level, lead score, email requirement, and social media requirement.

Input

Parameter	Type	Description	Default
storeUrls	array	Store URLs to analyze (required)	—
platformFilter	array	Filter by platform	All
countryFilter	string	Filter by country/market	All
minProductCount	integer	Minimum products	10
maxProductCount	integer	Maximum products (0 = no limit)	0
trafficLevel	string	Filter by traffic (Low/Medium/High/Any)	Any
minLeadScore	integer	Minimum quality score (0–100)	40
requireEmail	boolean	Only return stores with email	true
requireSocialMedia	boolean	Only return stores with social media	false
detectOpportunities	boolean	Detect missing services	true
maxResults	integer	Max qualified leads to return	100
concurrency	integer	Parallel processing (1–50)	10
proxyConfiguration	object	Proxy settings for large runs	—

Output

Each qualified lead includes:

{
    "storeName": "Fashion Boutique",
    "url": "https://fashionboutique.com",
    "platform": "Shopify",
    "country": "US",
    "niche": "Fashion",
    "productCount": 350,
    "trafficLevel": "Medium",
    "estimatedRevenue": "$15,750-$28,350/month",
    "revenueRange": { "low": 15750, "high": 28350 },
    "email": "support@fashionboutique.com",
    "phone": "+1-555-0123",
    "socialMedia": {
        "instagram": "https://instagram.com/fashionboutique",
        "facebook": "https://facebook.com/fashionboutique",
        "tiktok": null,
        "twitter": null,
        "pinterest": null,
        "youtube": null,
        "linkedin": null
    },
    "socialMediaCount": 2,
    "techStack": {
        "email": null,
        "reviews": "Judge.me",
        "payment": "Stripe",
        "analytics": "Google Analytics",
        "chat": null
    },
    "opportunities": [
        {
            "type": "no_email_marketing",
            "service": "Email Marketing Setup",
            "tools": "Klaviyo, Mailchimp",
            "revenue": "$10-20k/month potential",
            "pitch": "Missing email marketing - losing ~900 emails/month"
        }
    ],
    "opportunityScore": 50,
    "leadScore": 78,
    "scrapedAt": "2026-03-13T15:30:00.000Z"
}

Dataset views

The Actor provides four organized views in the Output tab:

1. All Store Leads — All qualified leads sorted by score
2. Hot Leads (Score 70+) — Top quality leads to prioritize
3. Shopify Stores Only — Filtered for Shopify specialists
4. Stores with Missing Services — Sorted by opportunity score

Use cases

• Digital agencies: Find stores that need redesign, speed optimization, or email marketing
• Shopify/WooCommerce developers: Find stores that need custom apps, themes, or migrations
• Marketing consultants: Find stores missing email, ads, or review management
• SaaS founders: Find stores that don't have your tool yet

How to find store URLs

For v1, you provide URLs manually. Quick ways to find them:

• Google: site:myshopify.com beauty
• Google: site:myshopify.com fashion
• Instagram: search hashtags, extract bio links
• Industry directories and competitor research

Cost

CheerioCrawler (HTTP only, no browser) keeps costs very low:

Volume	Estimated cost
100 stores	~$0.50
1,000 stores	~$5
10,000 stores	~$50

Technical details

• Runtime: Node.js 22 + Apify SDK + Crawlee
• Crawler: CheerioCrawler (10x faster than browser-based crawlers)
• Throughput: ~500 stores/hour at concurrency 10
• Proxy support: Optional, recommended for 100+ URLs
• Rate limiting: Respects robots.txt with smart delays

License

Apache-2.0