# AI Job Scam Checker — Cited Risk Report (`rumi7911/job-scam-checker`) Actor

Describe a job posting or recruiter message and get back a scam-risk assessment: matched red-flag patterns, a company-legitimacy check, a confidence rating, and the real source URLs behind every claim — live Google Search grounding, not a stale guess.

- **URL**: https://apify.com/rumi7911/job-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 job posting 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 Job Scam Checker — Cited Risk Report

Describe a job posting or recruiter message and get back a scam-risk assessment: matched red-flag patterns, a company-legitimacy check, a confidence rating, and — critically — the real source URLs behind every claim. This runs live Google Search grounding through Gemini for every request, so it reflects what's actually findable right now, not stale training data.

### What you can use this for

- **Job seekers** — a sanity check before handing over your SSN, bank details, or accepting checks to deposit.
- **Job boards / classifieds sites** — an automated screening layer flagging suspicious postings before they go live.
- **Career-services / university placement offices** — a backend for a "check this posting" tool for students.

### Input

| Field | Description | Default |
|---|---|---|
| `jobDescription` | The posting or recruiter message text | a classic check-cashing scam example |
| `companyName` | Company name (optional) | — |
| `recruiterName` | Recruiter/contact name (optional) | — |
| `platform` | Where you were contacted, e.g. LinkedIn, WhatsApp (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
{
  "postingSummary": "...",
  "companyName": "Acme Logistics",
  "role": "Data Entry Clerk",
  "verdict": "likely_scam",
  "confidence": "high",
  "redFlags": ["Check-cashing / reshipping scheme", "Requests SSN and bank details before any offer", "Interview conducted only via WhatsApp", "Pay far above market for unskilled work"],
  "positiveSignals": [],
  "companyLegitimacyAssessment": "No verifiable hiring presence or company records found for 'Acme Logistics' matching this description.",
  "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 job posting checked**. No subscription, no minimum.

# Actor input Schema

## `jobDescription` (type: `string`):

Paste the job posting, recruiter DM, or email text.

## `companyName` (type: `string`):

Checked for a real hiring presence and complaint reports.

## `recruiterName` (type: `string`):

Checked for scam/complaint reports.

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

e.g. LinkedIn, Indeed, WhatsApp, Telegram, email.

## `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
{
  "jobDescription": "Remote 'Data Entry Clerk' role, $45/hour, no interview required. Recruiter messaged me on WhatsApp, says the company will mail me checks to deposit and I keep 10% before wiring the rest to a 'vendor'. Needs my SSN and bank details today to get started.",
  "companyName": "",
  "recruiterName": "",
  "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/job-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/job-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/job-scam-checker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rumi7911/job-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/mTydAW1G0TQtFAWOp/builds/HlcoTLZtzXhOD2ExX/openapi.json