# AI Online Store Scam Checker — Cited Risk Report (`rumi7911/ecommerce-scam-checker`) Actor

Give it a shopping site's URL or an ad/deal you're suspicious of and get back a scam-risk assessment: a real domain-age check, matched red-flag patterns, a confidence rating, and the source URLs behind every claim — live Google Search grounding, not a stale guess.

- **URL**: https://apify.com/rumi7911/ecommerce-scam-checker.md
- **Developed by:** [Muhammad Sohaib Roomi](https://apify.com/rumi7911) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $120.00 / 1,000 store checkeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

## AI Online Store Scam Checker — Cited Risk Report

Give it a shopping site's URL or an ad/deal you're suspicious of and get back a scam-risk assessment: a **real domain-registration-age check** (not a model guess), matched red-flag patterns, a confidence rating, and the source URLs behind every claim. Runs live Google Search grounding through Gemini for every request.

### What you can use this for

- **Shoppers** — a sanity check before entering payment details on an unfamiliar store, especially from a social-media ad.
- **Ad platforms / marketplaces** — an automated screening layer for suspicious storefronts before they run ads or list products.
- **Consumer-protection tools / browser extensions** — a backend for a "check this store" feature.

### Why this one's different

Most "is this a scam" tools ask an LLM to guess. This one does a real **RDAP domain-registration lookup** on the store's URL — a brand-new domain (under ~90 days old) selling physical goods is one of the single strongest, most objective scam-storefront signals there is, and it's a hard fact this Actor actually checks rather than asking the model to estimate.

### Input

| Field | Description | Default |
|---|---|---|
| `storeDescription` | Describe the store, product, and deal (or paste the ad text) | a classic fake-flash-sale example |
| `storeUrl` | The site's URL (optional but recommended — enables the domain-age check) | — |
| `storeName` | Store/brand name (optional) | — |
| `platform` | Where you saw it, e.g. Instagram ad (optional) | — |
| `model` | Gemini model | `gemini-3.8-flash` |
| `apiKey` | Your own Gemini API key (optional — leave blank to use the Actor's key) | — |

Every field has a working default — hit **Start** with no changes and you'll get a result.

### Output

```json
{
  "storeSummary": "...",
  "storeName": "LuxeCartOutlet",
  "verdict": "likely_scam",
  "confidence": "high",
  "redFlags": ["Domain registered 4 days ago", "Irreversible-only payment methods (crypto/wire)", "No contact info or return address", "Price far below retail with countdown pressure"],
  "positiveSignals": [],
  "dealAssessment": "A $600 designer handbag for $39.99 is far outside any realistic markdown range.",
  "domainAge": { "domain": "luxecartoutlet.com", "registeredAt": "2026-09-04T00:00:00Z", "ageDays": 4 },
  "sources": [{ "url": "https://...", "title": "..." }],
  "searchQueries": ["..."],
  "groundingUsed": true,
  "model": "gemini-3.8-flash",
  "verifiedAt": "2026-09-08T12:00:00.000Z"
}
```

### Pricing

Pay-per-event: **$0.12 per store/deal checked**. No subscription, no minimum.

# Actor input Schema

## `storeDescription` (type: `string`):

Describe the store, product, and deal (or paste the ad text). Mention the discount/price if relevant.

## `storeUrl` (type: `string`):

The site's web address. Enables a real domain-registration-age check, the single strongest scam-storefront signal.

## `storeName` (type: `string`):

The store or brand's name, if different from the URL.

## `platform` (type: `string`):

e.g. Instagram ad, TikTok ad, Google Shopping, direct link.

## `model` (type: `string`):

Which Gemini model to use for research and synthesis.

## `apiKey` (type: `string`):

Leave blank to use the Actor's own configured key.

## Actor input object example

```json
{
  "storeDescription": "Saw an Instagram ad for 'LuxeCartOutlet' selling a $600 designer handbag for $39.99, 24-hour flash sale countdown, only accepts payment via crypto or wire transfer, no phone number or return address listed.",
  "storeUrl": "",
  "storeName": "",
  "platform": "",
  "model": "gemini-3.8-flash"
}
```

# Actor output Schema

## `riskReports` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("rumi7911/ecommerce-scam-checker").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("rumi7911/ecommerce-scam-checker").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call rumi7911/ecommerce-scam-checker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rumi7911/ecommerce-scam-checker"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Dju3wec7eFHK3S8oj/builds/Ha7vjcQlefvfA6BN9/openapi.json