Shopify & WooCommerce Store Leads — Email Finder

Turn a list of online-store web addresses into clean, ready-to-use sales leads — no login, no browser automation, no manual digging.

Give it domains like gymshark.com; get back one tidy row per store with the platform, catalogue size, price range, and the owner's email, phone and social links.

Perfect for agencies, suppliers, dropshipping tools, app developers and sales teams who need to find and reach e-commerce store owners at scale.

What it does

For each domain you provide, the Actor:

1. Detects the platform — Shopify or WooCommerce (and flags other platforms where it can).
2. Reads the store's public product feed — Shopify's products.json and WooCommerce's read-only Store API. This returns the catalogue size, vendors, product types and price range. Headless (Hydrogen) Shopify stores are handled via their *.myshopify.com domain automatically.
3. Finds contact details — scans the homepage and contact page for email, phone (tel: links) and social profiles (Instagram, Facebook, TikTok, YouTube, X/Twitter, LinkedIn, Pinterest).

It uses plain HTTPS requests routed through Apify Proxy — no headless browser, so runs are fast and cheap.

Input

Field	Meaning
Store domains or URLs	One per line, e.g. gymshark.com. Full URLs are fine — only the domain is used.
Find contact details	On by default. Reads homepage/contact page for email, phone, socials.
Also output each product	Off by default. On = also emit one row per product (Shopify).
Max products per store	Cap for the option above.
Stores processed at once	Concurrency. 10 is a safe default.
Proxy	Apify Proxy. Residential gives the best hit rate — the store feeds rate-limit by IP.

Output (one row per store)

{
  "recordType": "store",
  "domain": "allbirds.com",
  "url": "https://allbirds.com",
  "platform": "shopify",
  "productCount": 412,
  "priceMin": 4.0,
  "priceMax": 165.0,
  "currency": null,
  "vendors": ["Allbirds"],
  "productTypes": ["Shoes", "Socks", "Apparel"],
  "storeName": "Allbirds | Wool & Tree Shoes",
  "email": "help@allbirds.com",
  "emails": ["help@allbirds.com"],
  "phone": "+18448807192",
  "socials": { "instagram": "https://instagram.com/allbirds", "facebook": "..." },
  "appearsActive": true,
  "error": null,
  "scrapedAt": "2026-10-18T12:00:00+00:00"
}

Export the dataset as CSV, Excel, JSON or HTML, or pull it via the API.

Good to know

• Hit rate ~65–70%. Some stores sit behind Cloudflare/Vercel challenges or aren't Shopify/WooCommerce — those come back with an error and whatever contact details were still readable. Residential proxies maximise the rate.
• No store discovery yet. You supply the domains; the Actor enriches them. (Discovery is on the roadmap.)
• Pricing is pay-per-result: you're charged per store lead returned.

Use cases

• Build a B2B list of Shopify/WooCommerce store owners to pitch.
• Enrich an existing domain list with contact + catalogue data.
• Competitor / supplier catalogue research (price range, product types).
• Feed a CRM or cold-outreach tool.

FAQ

How do I find the email of a Shopify store owner? Give the Actor the store's web address. It reads the store's own homepage and contact page for the public email, phone (tel:) and social links, alongside the platform, catalogue size and price range.

Does it work on WooCommerce too? Yes. It auto-detects Shopify and WooCommerce and reads each one's public product feed — no login required.

Can I build a B2B lead list of online stores? Yes. Feed it a list of domains and get one clean lead row per store, ready for a CRM or cold-outreach tool. (You supply the domains; store discovery by keyword/country is on the roadmap.)

How accurate is the contact data? It comes straight from each store's own public pages — nothing invented. Hit rate is ~65–70%; residential proxies maximise it. Always follow applicable anti-spam rules (CAN-SPAM / GDPR) when you reach out.

What's the difference vs. the Shopify Product Scraper? This returns one lead row per store (contacts + catalogue summary). The Shopify Product Scraper returns one row per product. Use them together: find the stores here, pull their full catalogues there.