# SaaS Voice-of-Customer Battlecard — evidence-based themes (`egeusta/saas-voice-of-customer-battlecard`) Actor

Turn review datasets into recurring pains, strengths, feature requests, switching reasons, competitor mentions, trends, and an action-ready SaaS battlecard with traceable evidence.

- **URL**: https://apify.com/egeusta/saas-voice-of-customer-battlecard.md
- **Developed by:** [Ege Usta](https://apify.com/egeusta) (community)
- **Categories:** Automation, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 review analyzeds

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

## SaaS Voice-of-Customer Battlecard

Convert customer-review datasets into traceable product and competitive intelligence. The Actor accepts reviews directly or reads another Apify Actor's dataset; it does not scrape review sites itself and ignores reviewer identities.

### Outputs

Structured `theme` rows contain:

- theme and category
- frequency and severity
- sentiment and date-aware trend
- evidence count and short representative evidence
- explicit competitor mentions

The final `battlecard` row groups the strongest findings into strengths, weaknesses, common complaints, missing features, switching reasons, competitive opportunities, and product opportunities.

### Why deterministic first

The Actor uses transparent phrase dictionaries, ratings, dates, and user-supplied custom themes. It does not send review text to an LLM, so there is no model/API key requirement, no invented quote, and no uncontrolled token bill. Evidence excerpts come from the supplied review text and remain short.

### Quick start

```json
{
  "productName": "Acme Cloud",
  "reviews": [
    { "text": "Easy to use, but reports are slow and sometimes crash.", "rating": 3, "date": "2026-07-01" },
    { "text": "Please add a native Salesforce integration.", "rating": 3, "date": "2026-08-01" }
  ],
  "competitorNames": ["RivalCo"]
}
```

### Pricing

The intended model is low-cost pay per review analyzed, with platform usage included. Theme rows and the battlecard are included. Current exact prices appear on the Store page. If a maximum run charge stops processing, the battlecard is marked partial.

### Limitations

Keyword analysis is explainable but cannot understand every idiom, language, sarcasm, or implicit product comparison. Trend requires enough dated reviews and reports `unknown` on small samples. Frequency reflects the supplied sample, not the entire customer base. Do not use the output to profile individuals or make automated high-impact decisions.

# Actor input Schema

## `productName` (type: `string`):

Label used in theme and battlecard output rows.

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

Text is required. Rating and date improve sentiment and trend analysis. Author identity is ignored.

## `datasetId` (type: `string`):

Ignored when pasted reviews are present.

## `competitorNames` (type: `array`):

Only explicit mentions in review text are reported.

## `customThemes` (type: `array`):

Optional objects with theme, category, and keywords. Categories: strength, weakness, feature\_request, switching.

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

Hard cap on review records analyzed in one run.

## Actor input object example

```json
{
  "productName": "Acme Cloud",
  "reviews": [
    {
      "id": "r1",
      "text": "Easy to use, but reports are slow and sometimes crash.",
      "rating": 3,
      "date": "2026-07-01"
    },
    {
      "id": "r2",
      "text": "Please add a native Salesforce integration.",
      "rating": 3,
      "date": "2026-08-01"
    }
  ],
  "competitorNames": [],
  "customThemes": [],
  "maxReviews": 1000
}
```

# 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 = {
    "productName": "Acme Cloud",
    "reviews": [
        {
            "id": "r1",
            "text": "Easy to use, but reports are slow and sometimes crash.",
            "rating": 3,
            "date": "2026-07-01"
        },
        {
            "id": "r2",
            "text": "Please add a native Salesforce integration.",
            "rating": 3,
            "date": "2026-08-01"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("egeusta/saas-voice-of-customer-battlecard").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 = {
    "productName": "Acme Cloud",
    "reviews": [
        {
            "id": "r1",
            "text": "Easy to use, but reports are slow and sometimes crash.",
            "rating": 3,
            "date": "2026-07-01",
        },
        {
            "id": "r2",
            "text": "Please add a native Salesforce integration.",
            "rating": 3,
            "date": "2026-08-01",
        },
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("egeusta/saas-voice-of-customer-battlecard").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 '{
  "productName": "Acme Cloud",
  "reviews": [
    {
      "id": "r1",
      "text": "Easy to use, but reports are slow and sometimes crash.",
      "rating": 3,
      "date": "2026-07-01"
    },
    {
      "id": "r2",
      "text": "Please add a native Salesforce integration.",
      "rating": 3,
      "date": "2026-08-01"
    }
  ]
}' |
apify call egeusta/saas-voice-of-customer-battlecard --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,egeusta/saas-voice-of-customer-battlecard"
        }
    }
}

```

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/hTwnC8JK5KWjrBrJx/builds/fuS7QyYlVjlKBDtkh/openapi.json