# Competitor Review Intelligence (`symphony_bots/competitor-review-intelligence`) Actor

Turn product and app reviews into sentiment, pain points, satisfaction drivers, feature requests, and actionable opportunities.

- **URL**: https://apify.com/symphony\_bots/competitor-review-intelligence.md
- **Developed by:** [Sinan Kuşdoğan](https://apify.com/symphony_bots) (community)
- **Categories:** AI, E-commerce, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $20.00 / 1,000 review intelligence 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/platform/actors/running/actors-in-store#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

## Competitor Review Intelligence

Convert product, app, and competitor reviews into structured customer intelligence without an external AI key.

### Output

One dataset row is written per entity with:

- review count and average rating
- positive, neutral, and negative sentiment counts plus a normalized index
- satisfaction drivers and pain points ranked by mentions
- explicit feature requests
- concise opportunity statements
- sources and generation time

Paste review records directly for reliable analysis, or provide public pages that expose Schema.org `Review` JSON-LD. CSS selectors are available for server-rendered review lists.

### Example input

```json
{
  "reviews": [
    {"entity":"Acme","text":"Fast and easy dashboard.","rating":5,"source":"survey"},
    {"entity":"Acme","text":"Exports are slow. Please add CSV export.","rating":2,"source":"store"}
  ]
}
```

### Method and privacy

The MVP uses transparent lexical sentiment, ratings, frequency-ranked topics, and explicit request patterns. Results are deterministic and do not send review text to a third-party model. Verify conclusions against the source material before making business decisions.

Only process public data or data you are authorized to use. Respect site terms, robots policies, privacy rules, and applicable law. The Actor does not bypass authentication.

### Billing

The recommended Store model is pay per event: one billable result per entity summary, plus a small Actor-start event for fixed run cost.

# Actor input Schema

## `reviews` (type: `array`):

Review records grouped by product, app, or competitor name.

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

Optional pages containing Review JSON-LD or reviews addressable with CSS selectors.

## `reviewSelector` (type: `string`):

Optional selector for a repeated review container.

## `ratingSelector` (type: `string`):

Optional nested selector whose text contains a numeric 0–5 rating.

## `maxConcurrency` (type: `integer`):

Maximum number of public review pages processed in parallel.

## `maxRequestsPerMinute` (type: `integer`):

Global request-rate limit for public review page extraction.

## Actor input object example

```json
{
  "reviews": [
    {
      "entity": "Acme Analytics",
      "text": "The dashboard is fast, useful and very easy to learn.",
      "rating": 5,
      "source": "demo"
    },
    {
      "entity": "Acme Analytics",
      "text": "Exports are slow and confusing. Please add scheduled CSV export.",
      "rating": 2,
      "source": "demo"
    },
    {
      "entity": "Acme Analytics",
      "text": "Reliable alerts, but the mobile experience is missing key filters.",
      "rating": 4,
      "source": "demo"
    }
  ],
  "startUrls": [],
  "maxConcurrency": 5,
  "maxRequestsPerMinute": 120
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `summary` (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("symphony_bots/competitor-review-intelligence").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("symphony_bots/competitor-review-intelligence").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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 symphony_bots/competitor-review-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=symphony_bots/competitor-review-intelligence",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/nzt6SBcAfBM1iwUmN/builds/zDOscBh5GdqlIm9Hi/openapi.json