Lead data
Ecommerce leads, built from live stores
Search 7,708,982 live online stores by platform, country, tech stack, catalogue size and page speed — then export the ones worth contacting.
The database
7,708,982 live stores across 110 countries and 29 platforms, each carrying the same 99 fields. A filter means the same thing in every market, which is what makes two countries comparable at all.
The contacts
68% of the 5,070,862 stores whose contact pages we have read publish an email address. Stores never measured are excluded from that figure rather than counted as having none.
The export
CSV, Google Sheets or the API — the same rows, the same fields, whichever way you take them. Nothing is trapped inside the interface.
A list of company names is not a lead list
What separates the two is whether the row tells you anything you can act on.
What each row carries
- The platform the store actually runs, detected from the store itself.
- Where it trades, and in which language and currency.
- How large its catalogue is — the difference between a hobby shop and a business.
- Its apps, theme and tech stack, so you can find the stores already paying for tools like yours.
- Page speed and SEO scores, measured rather than estimated.
- Published contact details, where the store publishes them.
Why that matters for outreach
A list of ten thousand stores is not ten thousand prospects. The stores worth your first hundred emails are the ones that already run a competing app, or sit on a platform you integrate with, or load slowly enough to need what you sell. Those are filters, not guesses — and filtering before you write beats writing more emails.
You can see the same fields for any single store before you trust the set: the free tools answer for one store what the database answers for millions.
Start from a platform
Or from a market
Common questions
What is an ecommerce lead list?
A list of online stores you can sell to, with enough detail to decide which ones are worth contacting — the platform each store runs, where it trades, how big its catalogue is, what its site is built with, and how to reach the people behind it. A list of company names without those fields is a spreadsheet, not a lead list, because nothing in it tells you who to call first.
How many ecommerce stores can I search?
7,708,982 live stores across 110 countries and 29 platforms, as of 22 September 2026. Every one carries the same fields, so a filter means the same thing in every market.
Do you have contact details for these stores?
Yes, where the store publishes them. 68% of the 5,070,862 stores whose contact pages we have read publish an email address. Stores we have not measured are left out of that figure rather than counted as having none — we would rather quote a smaller honest number than a larger guessed one.
Can I filter by platform?
Yes. Shopify, WooCommerce, Wix, BigCommerce, Magento, Squarespace, PrestaShop and 22 more, and you can combine a platform with any other field — country, catalogue size, page speed, the apps a store runs, the theme it uses.
Is the data exported, or do I work inside the tool?
Either. Filter in the grid, then export to CSV or straight into Google Sheets, or pull the same results through the API. Nothing is locked inside the interface.
How current is it?
This page was built from the snapshot of 22 September 2026. Stores are re-crawled continuously rather than bought in as a static file, which is why a store that went offline stops being counted.
What does it cost to start?
There is a free trial with the full dataset and every filter, and its allowance resets daily rather than expiring. You can see what the data holds before deciding anything.
Build your list on the real data
Free trial with the full dataset and every filter, and the allowance resets daily rather than expiring.