The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Brand Lookalike Watch listing page.
Give your agent a live feed of new Shopify stores, including pre-launch ones (still behind their password page), plus a Shopify checker for any list of domains. One flat JSON object per store, pay per result, no personal data.
The tool runs on Apify and is served by the official Apify MCP server, so any MCP client (Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, n8n, LangChain, CrewAI) can use it.
Want the full raw database directly? Download the fresh snapshot (1,300+ stores) for $4.99 — one CSV, no subscription, no agent needed.
Also in this repo: Brand Lookalike Watch — phishing and typosquatting domains imitating a brand, from the same CT logs, as an MCP tool.
Remote (recommended, sign in with Apify in the browser): add this to your client's MCP config
Local (stdio, with an Apify API token): see clients/local-stdio.json.
Claude Code: claude mcp add --transport http new-shopify-stores "https://mcp.apify.com/?tools=prelaunch-radar/new-shopify-stores-pre-launch-radar"
{"mode": "feed", "sinceDays": 1, "status": "pre-launch", "countries": ["US"]}{"mode": "enrich", "domains": ["example.com"]}maxItems caps billed results, so spend is bounded before the call.Fields: store_domain, store_name, status (live | pre-launch), niche, country,
region, currency, products, collections, ships_to, product_types, sample_titles,
domain_registered (RDAP), first_detected.
No server to run. Import integrations/n8n/new-shopify-stores-daily.json
into n8n (Workflows → Import from file):
webhookUrl, sinceDays (1),
status (any, pre-launch or live), countries (e.g. US, GB, empty = all) and
maxItems (100), which caps what one run can bill.Authorization, value Bearer <your Apify API token>.integrations/n8n/new-shopify-stores-lead-scoring.json
goes further: it skips stores already seen in earlier runs, scores each new store from 0 to 10
(pre-launch, your target niches and countries, small catalog, ships abroad, young domain) with
the reasons written out, logs every store in Google Sheets (updated by domain), sends one Slack
alert per hot store and one digest for the warm ones. Sample data is pinned, so a first test
run needs no Apify token.
A niches filter can be added to the Apify request body. The feed holds
business-level public data only; any contact enrichment you add downstream is your own
processing, under your own compliance.
Public Certificate Transparency logs (RFC 6962) → public DNS records pointing to Shopify →
official RDAP registry → each store's public /meta.json and /products.json.
This dataset is provided for market research, trend analysis, and competitive intelligence purposes only, on an "as-is" and "as-available" basis without warranties of any kind. Records originate exclusively from publicly accessible sources (Certificate Transparency logs, public DNS and RDAP registries, and stores' public storefront metadata); no personally identifiable information (PII) is collected or sold. Independently developed, not affiliated with, authorized, or endorsed by Shopify Inc. or Apify. By accessing this data, you agree that the provider shall not be liable for any direct or indirect damages resulting from its use; in any event, liability is limited to the purchase price.