# Brand Lookalike Watch

**Category:** 💻 Developer Tools  
**Repository:** https://github.com/yzf75011-ui/prelaunch-radar-mcp  
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**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/brand-lookalike-watch

## Description
Phishing and typosquatting domains imitating a brand, from public CT logs. Risk score, DNS, RDAP.

## Claude Desktop Quick Installation
Heuristic fallback — verify the package name and runner against the repository README before running it. Uses `npx` (confidence: low):

```json
"mcpServers": {
  "brand-lookalike-watch": {
    "command": "npx",
    "args": ["-y","brand-lookalike-watch"]
  }
}
```

## Documentation & README

# New Shopify Stores — MCP tool for AI agents

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](https://slama13.gumroad.com/l/full-snapshot) — one CSV, no subscription, no agent needed.

> **Also in this repo:** [Brand Lookalike Watch](https://github.com/yzf75011-ui/prelaunch-radar-mcp/blob/HEAD/brand-lookalike-watch/) — phishing and
> typosquatting domains imitating a brand, from the same CT logs, as an MCP tool.

## Connect in one paste

**Remote (recommended, sign in with Apify in the browser):** add this to your client's MCP config

```json
{
  "mcpServers": {
    "new-shopify-stores": {
      "url": "https://mcp.apify.com/?tools=prelaunch-radar/new-shopify-stores-pre-launch-radar"
    }
  }
}
```

**Local (stdio, with an Apify API token):** see [`clients/local-stdio.json`](https://github.com/yzf75011-ui/prelaunch-radar-mcp/blob/HEAD/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"`

## What the agent can ask

- "List today's new Shopify stores in the US that are still pre-launch." → `{"mode": "feed", "sinceDays": 1, "status": "pre-launch", "countries": ["US"]}`
- "Which of these domains run on Shopify, and when were they registered?" → `{"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`.

## Automate it: new stores into Clay, n8n, Make or your CRM

No server to run. Import [`integrations/n8n/new-shopify-stores-daily.json`](https://github.com/yzf75011-ui/prelaunch-radar-mcp/blob/HEAD/integrations/n8n/new-shopify-stores-daily.json)
into n8n (**Workflows → Import from file**):

1. **Every morning at 8** triggers the workflow.
2. **Set your settings** holds everything you change: `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.
3. **Get new Shopify stores (Apify)** calls the Actor. Add a *Header Auth* credential:
   name `Authorization`, value `Bearer <your Apify API token>`.
4. **Keep store fields** keeps domain, name, status, niche, country, currency, products and dates.
5. **Send each store to your webhook** posts one JSON object per store to any URL:
   a Clay table webhook, a Make custom webhook, Slack, HubSpot, your own endpoint.

### Lead scoring version: ranked stores into Google Sheets and Slack

[`integrations/n8n/new-shopify-stores-lead-scoring.json`](https://github.com/yzf75011-ui/prelaunch-radar-mcp/blob/HEAD/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.

## Links

- Apify Store page: https://apify.com/prelaunch-radar/new-shopify-stores-pre-launch-radar
- Free sample + daily stats on Hugging Face: https://huggingface.co/datasets/jowalker/new-shopify-stores
- Want the full raw database directly? [Download the fresh snapshot (1,300+ stores) for $4.99](https://slama13.gumroad.com/l/full-snapshot)
- Prefer a spreadsheet? Always-fresh CSV membership: https://slama13.gumroad.com/l/smjncx

## How it works

Public Certificate Transparency logs (RFC 6962) → public DNS records pointing to Shopify →
official RDAP registry → each store's public `/meta.json` and `/products.json`.

## LEGAL DISCLAIMER

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.