Ecommerce & Website Leads Database: 52M+ Sites, Emails & Phones
Pricing
from $1.50 / 1,000 website leads
Ecommerce & Website Leads Database: 52M+ Sites, Emails & Phones
Bulk B2B website leads from WordPress, Shopify, WooCommerce, Magento & more. Filter by country, keyword, email, phone or 59 columns. Verified emails, phones & socials. 1 site = 1 row.
Pricing
from $1.50 / 1,000 website leads
Rating
5.0
(1)
Developer
Apivault Labs
Maintained by CommunityActor stats
2
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17
Total users
11
Monthly active users
4 days ago
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Ecommerce & Website Leads Database — 36M Sites, Emails, Phones, Tech Stack
The largest pre-built B2B website leads database on Apify. 52 million sites across 13 ecommerce and CMS platforms — enriched with verified emails, phone numbers, social profiles, tech stack, firmographics and geo. New records are added daily and existing ones are re-enriched on a rolling basis.
1 site = 1 row. Pick platforms, apply filters, choose columns, export. No scraping, no wait — instant results from a live database.
Platforms (13)
| Platform | Sites | Description |
|---|---|---|
| WordPress | 12.0M | 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 |
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 100,000 per run.
- 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 updated continuously. New sites are added daily from platform discovery crawls, and existing records are re-enriched on a rolling schedule (contact info, tech stack, rankings). The Last Found and Last Indexed columns tell you exactly when each record was last refreshed.
Local run
pip install -r requirements.txtset NEON_SHARDS=<your shard JSON>python -m src
Limitations
keywordusesILIKE '%...%'(full table scan, no substring index). The LIMIT cuts early, but a rare keyword can scan a whole shard.- No cross-platform deduplication (shards within one platform do not overlap).
- LIVE streams and non-video TikTok content are not applicable to this actor.