Store Leads Scraper: E-commerce Store Data at Scale (2026)

A census of independent e-commerce

Store Leads is the closest thing to a census of the independent e-commerce world: hundreds of thousands of Shopify, WooCommerce and BigCommerce merchants, each profiled with revenue estimates, traffic, employee counts and — crucially — their full technology stack. For agencies and SaaS vendors selling to merchants, it answers the only question that matters: who exactly should we talk to?

The dashboard is built for browsing. Your prospecting process needs the data in bulk.

What you can extract

Per store, 80+ fields including:

Domain, store name and merchant name
E-commerce platform (Shopify, WooCommerce, BigCommerce…)
Estimated monthly and yearly sales
Estimated visits and pageviews
Employee and product counts
Average product price
Installed technologies and apps
Contact info and Trustpilot rating

The technical challenge

Store Leads is an authenticated product: full profiles require your API key or session cookies, and unauthenticated domain lookups return only a basic preview. The extraction problems are therefore less about anti-bot warfare and more about:

Session handling — using your credentials cleanly and safely.
Filter fidelity — reproducing your dashboard segments (platform, country, revenue band, installed app) as inputs.
Field volume — 80+ fields per store demand disciplined schema management downstream; LLM-powered extraction helps when you fold in unstructured sources afterwards.

DIY or a ready-made Actor?

Our Store Leads Scraper on Apify takes either a list of domains or your filtered dashboard URLs, authenticates with your API key (recommended) or cookies, and returns the full 80+ field profiles as JSON or CSV. Pay-per-result at about $0.01 per store.

A practical workflow

Segment — build your filter in Store Leads: platform, country, revenue band, apps installed (or missing).
Extract — run the segment through the Actor; thousands of profiles arrive structured.
Prioritize — score by fit: revenue × tech stack × Trustpilot rating.
Reach out with context — see our guide on automated lead generation with web data for the enrichment and outreach layer.

Use cases that pay off

Agency prospecting — target merchants by platform, size and stack; pitch what they demonstrably need.
App vendor lead gen — find stores running a competitor’s app, or missing yours.
Market sizing — count merchants by platform, country and revenue band for GTM and investment decisions.
Competitor tracking — watch competing stores’ sales estimates and technology choices move over time.

The legal boundaries

Respect your Store Leads plan — you’re extracting data your account is entitled to access; stay within its terms and limits.
Contacts are personal data — emails fall under GDPR/CCPA once stored; keep a lawful basis and honor opt-outs.
Estimates are estimates — sales and traffic figures are modeled; treat them as ranking signals, not accounting facts.

Getting started

Run the Store Leads Scraper on one saved segment and you’ll have a scored prospect list before the day ends. To verify the companies behind the stores, pair it with the North Data scraper; to find who’s importing the products, the ImportYeti scraper. Full prospecting machines — extraction, scoring, CRM sync — are what we build at SilentFlow.