LAGIC
Lead Audience Growth Intelligence Computing
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Store Leads (14M E-Commerce Leads) — Store Leads | Lagic

Built ForSaaS & App DevelopmentMarketing & Advertising AgenciesFinancial Services

Get targeted e-commerce leads from a database of over 14 million stores.

Curated by Lagic·Verified working

Configure Agent

Ecommerce platform to get leads from

Page number (100 leads per page)

Filter by 2-letter country code (e.g., US, GB, DE)

Only return leads with email addresses

Only return leads with phone numbers

Filter by business category (partial match, case insensitive, e.g., skin,art,beauty,toy,gift,decor..)

Filter by city name (partial match, case insensitive, e.g., paris,london,amsterdam..)

Filter by technology stack (partial match, case insensitive, e.g., apple,pos,mastercard,cloudflare,paypal,klarna..)

Results to deliver

200 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

2 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Store domain and merchant nameContact emails and phone numbers (where available)Store location including city, region, and countryBusiness categories (e.g., fashion, electronics, home goods)List of detected technologies (e.g., Cloudflare, Mastercard, Google Analytics)List of installed apps (e.g., Klaviyo, Yotpo, Pagefly)
Sample Text...contact@...309Value...Value...Value...
Sample Text...contact@...879Value...Value...Value...
..................
Exports as:CSVXLSXJSON

Overview

Access a massive database of e-commerce stores and filter them by platform, country, category, installed apps, and technologies to find your ideal sales prospects.

This tool provides direct access to the Store Leads database, a collection of over 14 million active e-commerce businesses. Instead of manually searching for potential clients, you can build hyper-specific lead lists based on concrete data. ### Who is this for? This is designed for B2B companies that sell to e-commerce businesses. Common users include: * **SaaS and App Developers:** Find stores using a competitor's app or lacking a specific type of tool (like loyalty or reviews). * **Marketing & Ad Agencies:** Build targeted outreach lists for clients based on store niche, location, and current marketing stack. * **Payment & Fintech Companies:** Identify merchants using specific payment processors (like PayPal or Klarna) to offer better rates or new services. * **Web Development Firms:** Pinpoint stores on older platforms like Magento for migration offers, or those using specific themes that could be customized. ### How it Works You can precisely filter the entire database to get the leads you need. For example, you can find all Shopify stores in the UK, in the 'beauty' category, that use Klaviyo for email marketing and have an active Instagram profile. The tool returns key data points for each store, including their domain, merchant name, location, contact information (if available), and a list of the technologies and apps they use.

Key Capabilities

  • Store domain and merchant name
  • Contact emails and phone numbers (where available)
  • Store location including city, region, and country
  • Business categories (e.g., fashion, electronics, home goods)
  • List of detected technologies (e.g., Cloudflare, Mastercard, Google Analytics)
  • List of installed apps (e.g., Klaviyo, Yotpo, Pagefly)
  • The store's current website theme
  • Links to social media profiles including Facebook, Instagram, TikTok, and more
  • A Shopify app developer can find all stores that have installed a competitor's review app, like 'Judge.me'.
  • A UK-based marketing agency can generate a list of all WooCommerce stores in London in the 'fashion' category.
  • A payment provider can identify all BigCommerce stores that use PayPal, to target them with a competitive offer.
  • A sales team can build a prospect list of US-based stores that have a TikTok profile but are not yet on YouTube.
  • A logistics company can find enterprise-level stores by filtering for platforms like Magento or Demandware in specific countries.
  • A freelance developer can find all Squarespace stores in Australia that use Afterpay to offer custom integration services.
  • A B2B content marketer can find all stores in the 'pet supplies' niche with a Facebook page to target with ad campaigns.

Field Dictionary

How To Run This Extractor

1

Select the e-commerce platform you want to target, such as 'Shopify' or 'WooCommerce'.

2

Apply filters like 'Country Code', 'City', or 'Category' to narrow down your search.

3

To get more specific, filter by the 'Technologies' or 'Apps' the stores use.

4

Use the checkboxes to require contact details like an email, phone number, or a specific social media profile.

5

Set the 'Page' number to start from (each page contains 100 leads).

6

Run the tool and download your targeted lead list as a CSV or Excel file.

Frequently Asked Questions

Do I need technical skills to use this?
No, you just need to fill in the filter fields and run the tool. No coding is required.
In what format can I export the leads?
Is it legal to use this data for outreach?
How many leads can I get at once?
Can I use this for client work?
How is this different from just searching on Google?
How up-to-date is the data?
Can I schedule this to run automatically?
How much does it cost?
What does 'partial match' mean for filters like 'Category' or 'Apps'?
Can I find stores that use a very specific app, like 'ReCharge Subscriptions'?
What happens if I check both 'Has Email' and 'Has Phone'?