# Competitor Review Miner & AI Ad Hook Generator (`linenlike_summer/ai-review-miner`) Actor

Extract competitor product reviews and use Google Gemini AI to instantly generate high-converting TikTok & Meta ad hooks and market research reports.

- **URL**: https://apify.com/linenlike_summer/ai-review-miner.md
- **Developed by:** [walid sayed Abbas Taha](https://apify.com/linenlike_summer) (community)
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $500.00 / 1,000 results

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 🚀 AI Competitor Review Miner & Ad Hook Generator

Stop guessing what your customers want. This powerful actor scrapes reviews from your competitors' products (even behind Cloudflare protection) and uses **Google Gemini AI** to transform raw feedback into a goldmine of marketing intelligence.

### 🎯 What it does in seconds:

1. **Bypasses Anti-Scraping**: Uses advanced stealth fingerprints to extract reviews.
2. **Analyzes Sentiment**: Feeds the raw data directly into Google's Gemini AI.
3. **Generates Ready-to-Use Marketing Assets**: Outputs a structured JSON report containing:
   - 🚨 **Top 3 Structural Flaws**: Know exactly where your competitor is failing.
   - ❤️ **Unmet Desires**: Discover exactly what the market is begging for.
   - 📱 **TikTok & Meta Ad Hooks**: Get 5 highly converting, direct-response video hooks ready for your media buyer.

### 💡 Perfect For:

- **E-commerce Brand Owners**: Find the winning angle for your next product launch.
- **Dropshippers**: Write converting product descriptions based on real pain points.
- **Performance Marketers & Agencies**: Generate endless ad creatives and scripts.

### 🛠️ How to use:

1. Enter the target product review URL (e.g., Trustpilot, Shopify stores, etc.).
2. Paste your **Google Gemini API Key** (You can get it completely for FREE from Google AI Studio in 30 seconds).
3. Set the maximum number of reviews to analyze.
4. Click **Start** and download your AI-generated market research report from the **Dataset/Storage** tab!

# Actor input Schema

## `startUrls` (type: `array`):

ضع روابط صفحات التقييمات للمنتج المنافس (يدعم Trustpilot ومتاجر شوبيفاي).

## `geminiApiKey` (type: `string`):

ضع مفتاح Google GenAI الخاص بك هنا لتحليل التقييمات السلبية واستخراج الخطافات الإعلانية.

## `maxReviews` (type: `integer`):

الحد الأقصى لعدد التقييمات السلبية التي سيتم سحبها وتحليلها.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.trustpilot.com/review/shein.com"
    }
  ],
  "maxReviews": 30
}
```

# Actor output Schema

## `results` (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 = {
    "startUrls": [
        {
            "url": "https://www.trustpilot.com/review/shein.com"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("linenlike_summer/ai-review-miner").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 = { "startUrls": [{ "url": "https://www.trustpilot.com/review/shein.com" }] }

# Run the Actor and wait for it to finish
run = client.actor("linenlike_summer/ai-review-miner").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 '{
  "startUrls": [
    {
      "url": "https://www.trustpilot.com/review/shein.com"
    }
  ]
}' |
apify call linenlike_summer/ai-review-miner --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,linenlike_summer/ai-review-miner"
        }
    }
}
```

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/5gKtPDWkYDdFCibky/builds/4meaBrvVlbs3tcEsc/openapi.json