Ecommerce & Website Leads Database: 52M+ Sites, Emails & Phones avatar

Ecommerce & Website Leads Database: 52M+ Sites, Emails & Phones

Pricing

from $1.50 / 1,000 website leads

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Ecommerce & Website Leads Database: 52M+ Sites, Emails & Phones

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

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Developer

Apivault Labs

Apivault Labs

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2

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11

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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)

PlatformSitesDescription
WordPress12.0MSites built on WordPress CMS
Wix8.9MWebsites and stores built on Wix
Shopify7.0MShopify storefronts worldwide
WooCommerce6.5MWordPress + WooCommerce stores
ASP.NET4.6MSites on the Microsoft ASP.NET stack
Mastercard4.6MMerchants accepting Mastercard online
WooCommerce Checkout3.5MWooCommerce sites with active checkout
Squarespace2.9MSquarespace-powered sites with ecommerce
Mailchimp920KSites using Mailchimp for email marketing
Joomla770KSites built on Joomla CMS
PrestaShop174KPrestaShop ecommerce stores
Magento105KMagento / Adobe Commerce stores
BigCommerce37KBigCommerce 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:

FilterHow it works
CountriesOne or more ISO-2 codes (DE, US, IT…)
KeywordSubstring match in domain or company name
Only with emailSkip sites without a verified email
Only with phoneSkip sites without a phone number
Phone country codeE.g. +44 — keeps sites with at least one matching phone
Extra filtersJSON 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"
}
]

_platform field 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 (also json, 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.txt
set NEON_SHARDS=<your shard JSON>
python -m src

Limitations

  • keyword uses ILIKE '%...%' (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.