# Sweep for typosquat domains impersonating your brand

**Use case:** 

Generates 200 misspellings, character swaps, hyphenations and alternative TLDs of your official domain, checks which ones are registered and live, and has AI judge whether each one impersonates the brand. The output is a ranked list of lookalike domains worth a UDRP or a registrar complaint.

## Input

```json
{
  "brandName": "Lululemon",
  "officialDomains": [
    "lululemon.com"
  ],
  "checks": [
    "typosquat_domains"
  ],
  "productKeywords": [
    "Wayfarer",
    "Aviator"
  ],
  "brandContext": "Sold only through opticians and our own site. Any standalone shop offering 70% off is not authorized.",
  "minRiskScore": 60,
  "maxCandidates": 200,
  "pagesPerQuery": 2,
  "domainVariants": 200,
  "countryCode": "gb",
  "marketplaces": [
    "aliexpress.com",
    "dhgate.com"
  ],
  "socialPlatforms": [
    "facebook.com",
    "instagram.com"
  ],
  "ignoredDomains": [
    "sunglasshut.com"
  ],
  "fetchPages": true,
  "saveEvidence": true,
  "onlyInfringements": false,
  "model": "google/gemini-2.5-flash",
  "concurrency": 8,
  "maxRetries": 3,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "url": {
    "label": "URL",
    "format": "string"
  },
  "verdictLabel": {
    "label": "Verdict label",
    "format": "string"
  },
  "isInfringement": {
    "label": "Infringement",
    "format": "boolean"
  },
  "riskScore": {
    "label": "Risk score",
    "format": "integer"
  },
  "confidence": {
    "label": "Confidence",
    "format": "string"
  },
  "discoveredVia": {
    "label": "Discovered via",
    "format": "string"
  },
  "reasoning": {
    "label": "Reasoning",
    "format": "string"
  },
  "recommendedAction": {
    "label": "Recommended action",
    "format": "string"
  },
  "evidenceUrl": {
    "label": "Evidence snapshot",
    "format": "string"
  },
  "checkedAt": {
    "label": "Checked at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Brand Protection: Fake Shop, Counterfeit & Typosquat Finder](https://apify.com/fayoussef/brand-abuse-counterfeit-detector.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/fayoussef/brand-abuse-counterfeit-detector.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/fayoussef/brand-abuse-counterfeit-detector.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).