Composable store filters
Combine platform, country, language, currency, payment gateway, technology and installed-app filters instead of cleaning a spreadsheet by hand.
OpenData is a global database of ecommerce stores for teams selling into online retail. Filter stores by platform, installed apps, payment gateways, market and public business contact availability — with especially deep coverage across Southeast Asia.
Paste a storefront URL to preview the kind of signals OpenData records.
Do not buy a generic dump of websites. Start with the stores that can actually use, integrate with or resell your product.
Combine platform, country, language, currency, payment gateway, technology and installed-app filters instead of cleaning a spreadsheet by hand.
See signals for reviews, loyalty, subscriptions, chat, search, upsells and other storefront apps so your outreach can reference the store's real setup.
Watch target segments for platform migrations, newly detected payment methods, app installs and storefront technology changes.
Active stores are rechecked on a weekly target cycle. Every record keeps a source URL and observation date so your team can audit where a signal came from.
Paid exports can include publicly listed generic business mailboxes such as sales, support or contact addresses. Sample files keep contact details hidden.
Download deduplicated store records with the fields your CRM needs — no oversized, messy technology dump to repair before outreach.
Four teams use store intelligence the same way: find the right stores, skip the rest.
Find stores on your platform that have not installed your app yet — or that just installed a competitor's.
Research a niche before pitching: which stores run which stack, in which market, at what scale of tooling.
Spot stores missing your gateway or shipping option — especially across Southeast Asia's local payment rails.
Track platform and app adoption by country and category with dated, auditable records instead of anecdotes.
These are illustrative sample rows, not a live extract. Business email values are fully hidden in every public sample.
| Sample store | Market | Platform | Payments detected | Installed-app signals | Business email |
|---|---|---|---|---|---|
| Sample Beauty Store 01Health & beauty storefront | Singapore | Shopify | Stripe · PayPal | Reviews · Loyalty | 🔒 Available |
| Sample Fashion Store 02Apparel storefront | Malaysia | WooCommerce | Xendit · Cards | Subscriptions · Search | 🔒 Available |
| Sample Electronics Store 03Consumer electronics | Indonesia | Magento | Midtrans · QRIS · OVO · DANA | Live chat · Upsells | 🔒 Available |
| Sample Home Store 04Home & living | Thailand | Shopify | PromptPay · Cards | Reviews · Bundles | 🔒 Available |
| Sample Grocery Store 05Specialty food | Philippines | WooCommerce | GCash · Maya · Cards | Loyalty · Delivery slots | 🔒 Available |
| Sample Sports Store 06Sporting goods | United States | BigCommerce | Stripe · Klarna | Product recommendations | 🔒 Available |
| Sample Pet Store 07Pet supplies | Australia | Wix | PayPal · Afterpay | Bookings · Subscriptions | 🔒 Available |
Enter a valid work email to unlock the sample. Free webmail addresses are not accepted for this B2B sample. The request is saved in this browser with a timestamp.
No sample requests recorded yet.
Paid records are designed to include the store domain, platform, market signals, detected technologies and apps, payment gateways, public generic business contact where available, source URL and last-observed date.
Records are not copied from another vendor's database. OpenData collects public storefront signals itself and keeps provenance for audit and removal.
Compare plansLower overhead, a narrower dataset and self-serve exports — built for independent app teams, agencies and regional expansion teams. Every plan includes CSV exports; no plan hides them behind an enterprise tier.
For validating a niche and building your first targeted store lists.
For active outbound, app partnerships and Southeast Asia expansion research.
OpenData is designed around public storefront facts, self-collected records and fast suppression. If your business appears in the dataset, you can request removal.
Use a business email and the store domain to remove. This demo form stores the request locally in your browser; production requests are reviewed against the suppression list.
No removal requests recorded yet.
Straight answers about what OpenData contains, where records come from and how removal works.
A record is designed to include the store domain, platform, market signals, detected technologies, installed-app signals, payment gateways, public generic business contact availability, source URL and last-observed date.
OpenData discovers candidate stores from public web indexes and scans public storefront pages itself. It does not purchase or copy another vendor's proprietary database.
The operating target is a weekly refresh for active stores, with more valuable segments prioritised. Each record should carry the date it was last observed so users can judge freshness for themselves.
Public samples are deliberately redacted. An “Available” marker shows that a generic business contact is present in the full record without exposing the address in a downloadable demo file.
Submit the removal form with the store domain. Valid requests are targeted for completion within 48 hours and the domain is added to permanent suppression so it is not intentionally re-added.
It launches with a narrower self-serve product, lower overhead and a focused store dataset rather than decades of web-wide history and enterprise features. The trade-off is explicit: less historical depth, but a lower price and stronger focus on ecommerce stores and Southeast Asian payment signals.