Shopify & Ecommerce Store Finder — Emails, Phones & Tech (60M)
Pricing
from $8.00 / 1,000 store records
Shopify & Ecommerce Store Finder — Emails, Phones & Tech (60M)
Find Shopify & ecommerce stores at scale: 60M+ sites across Shopify, WooCommerce, Wix, WordPress and more. Verified emails, phones, tech stack and 59 firmographic fields. Filter by platform, country and tech. 1 store = 1 row.
Pricing
from $8.00 / 1,000 store records
Rating
5.0
(1)
Developer
Apivault Labs
Maintained by CommunityActor stats
4
Bookmarked
263
Total users
113
Monthly active users
0.12 hours
Issues response
2 days ago
Last modified
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Ecommerce & Website Leads Database — 60M Sites, Emails, Phones, Tech Stack
The largest pre-built B2B website leads database on Apify. 60 million sites across 14 ecommerce and CMS platforms — enriched with verified emails, phone numbers, social profiles, tech stack, firmographics and geo. New records and platforms are added over time, and existing ones are periodically re-enriched.
1 site = 1 row. Pick platforms, apply filters, choose columns, and export fast results from a continuously updated database.
Platforms (14)
| Platform | Sites | Description |
|---|---|---|
| WordPress | 20.6M | Sites built on WordPress CMS |
| Wix | 8.9M | Websites and stores built on Wix |
| Shopify | 7.0M | Shopify storefronts worldwide |
| WooCommerce | 6.5M | WordPress + WooCommerce stores |
| ASP.NET | 4.6M | Sites on the Microsoft ASP.NET stack |
| Mastercard | 4.6M | Merchants accepting Mastercard online |
| WooCommerce Checkout | 3.5M | WooCommerce sites with active checkout |
| Squarespace | 2.9M | Squarespace-powered sites with ecommerce |
| Mailchimp | 920K | Sites using Mailchimp for email marketing |
| Joomla | 770K | Sites built on Joomla CMS |
| PrestaShop | 174K | PrestaShop ecommerce stores |
| Magento | 105K | Magento / Adobe Commerce stores |
| BigCommerce | 37K | BigCommerce storefronts |
| Angular | Growing | Websites built with Angular |
Select All platforms (default) or pick one or more.
What you get per site (59 fields)
- Domain & company — Root Domain, Primary Domain, Company, Vertical
- Contact data — Emails (verified), Telephones (international format), Owner/People
- Social profiles — Facebook, Instagram, LinkedIn, X/Twitter, TikTok, YouTube, Pinterest, GitHub, Vimeo, Threads, Weibo, Vk
- Firmographics — Sales Revenue, Employees, SKU count, Technology Spend, Ticker
- Tech stack — eCommerce Platform, CMS Platform, CRM Platform, Marketing Automation, Payment Platforms, Hosting Provider, AI tools
- Rankings & performance — Overall Score, Tranco, Page Rank, Majestic, Umbrella, CRuX Rank, Cloudflare Rank, Performance, Accessibility, SEO, Best Practices
- Geo — City, State, Zip, Country
- Dates — First Detected, Last Found, First Indexed, Last Indexed
- Other — Has Ads, Agency, Compliance, Exclusion, Verified Profiles
Leave Output columns empty to get all 59 fields (fully enriched rows), or select only the ones you need.
Filters
Narrow your results without re-running or paying more:
| Filter | How it works |
|---|---|
| Countries | One or more ISO-2 codes (DE, US, IT…) |
| Keyword | Substring match in domain or company name |
| Only with email | Skip sites without a verified email |
| Only with phone | Skip sites without a phone number |
| Phone country code | E.g. +44 — keeps sites with at least one matching phone |
| Extra filters | JSON conditions on ANY column — equals, contains, starts_with, in_list, not_empty and more (9 operators). Combine multiple conditions with AND. |
Example extra filter
[{ "column": "Payment Platforms", "operator": "contains", "value": "PayPal" },{ "column": "City", "operator": "equals", "value": "Berlin" }]
Sorting & limits
- Sort by — Overall Score, Tranco, Sales Revenue, Employees, Technology Spend, Page Rank, SKU, Performance, SEO, Last Found. Get the top leads instead of a random slice.
- Max rows — up to 250,000 per run (no total cap — use offset to page further across runs).
- Deduplicate by domain — no repeated Root Domain values.
- Count only — preview how many sites match your filters before exporting (costs almost nothing).
Output example
[{"Root Domain": "ripcurl.com.au","Company": "Rip Curl","Country": "AU","City": "Torquay","Emails": "estore@ripcurl.com.au;service_centre@ripcurl.com.au","Telephones": "+61-3-0098-9014","eCommerce Platform": "Shopify","Sales Revenue": "$50M-$100M","Employees": "1,001-5,000","Overall Score": "87","_platform": "Shopify"},{"Root Domain": "seawitchcandles.co.uk","Company": "Sea Witch Candles","Country": "GB","City": "Penzance","Emails": "info@seawitchcandles.co.uk","Telephones": "+44-1736-731035","eCommerce Platform": "Shopify","Sales Revenue": "","Employees": "","Overall Score": "","_platform": "Shopify"}]
_platformfield appears only when multiple platforms are queried. Leave Output columns empty to receive all 59 fields.
Export (CSV / JSON / XML / Excel)
Every run stores results in a dataset. Download in any format — no re-run needed:
- In the app: open the run → Storage / Export → pick format.
- Via API:
https://api.apify.com/v2/datasets/{datasetId}/items?format=csv(alsojson,xml,xlsx,html,jsonl).
Use cases
- Web agencies — find businesses on outdated platforms, pitch redesigns
- SaaS sales — target stores by tech stack, revenue or employee count
- Lead generation — bulk export emails + phones filtered by country and vertical
- Market research — analyze platform market share, payment adoption, geo distribution
- SEO & marketing — discover sites by performance score, ranking, ad presence
Data freshness
The database is expanded and re-enriched over time: new sites and platforms are
added, and existing records are periodically refreshed with updated contact data,
technology information, and rankings. Use the Last Found and Last Indexed
columns to check when a given record was last refreshed.
Limitations
- Keyword searches cover a very large dataset, so rare or highly specific searches can take longer than common filters.
- Data availability and freshness vary by platform and field. Use
Last FoundandLast Indexedwhen recency is important.
Is it legal, and how should I use this data?
This Actor returns publicly available business (B2B) information — it does not access private, paywalled, or login-protected data.
Some fields (for example an email, phone number, or a person's name tied to a small business) can qualify as personal data under laws such as the EU/UK GDPR and the California CCPA/CPRA. When you run this Actor and export results, you — not Apify or the Actor developer — act as the data controller for how you use them, and you are responsible for:
- having a lawful basis (for B2B outreach this is usually legitimate interest);
- honoring data-subject rights (access, correction, deletion, opt-out);
- following marketing/outreach rules (e.g. GDPR/ePrivacy, CAN-SPAM, CASL) before contacting anyone;
- keeping the data secure and using it only for the stated purpose.
Responsible use
- Intended for B2B lead generation, sales, and market research — prefer business contacts (e.g.
info@,contact@) over personal details. - Do not use the data for spam, harassment, or any purpose prohibited by applicable law.
- Comply with the privacy, marketing, and data-protection rules of the jurisdictions you operate in and target.
This section is general information, not legal advice. If you are unsure how these rules apply to your use case, consult a qualified lawyer.