# Hero Report Generator - Executive Hero Suite Reports (`shashghosh/hero-report-generator`) Actor

Combine Hero Suite dataset rows into an executive-ready customer proof, signal, and content-gap report.

- **URL**: https://apify.com/shashghosh/hero-report-generator.md
- **Developed by:** [Shashwat Ghosh](https://apify.com/shashghosh) (community)
- **Categories:** AI, Automation, Developer tools
- **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 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?

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

## Hero Report Generator — Package Hero Suite Outputs into an Executive Report

Hero Report Generator turns structured Hero Suite outputs into a packaged executive report.

### What it does

It combines outputs from customer discovery, signal detection, content analysis, LinkedIn evidence analysis, ratings intelligence, or manually supplied rows. The output is an executive-ready summary of proof gaps, customer-story signals, and recommended next actions.

### Best for

- Consultants creating client-ready proof audits
- Agencies packaging customer-story research
- Founders summarizing public proof gaps
- Customer marketing teams building a story backlog

### Example input

```json
{
  "companyName": "Freshworks",
  "reportType": "comprehensive",
  "outputFormat": "json",
  "datasetRows": [
    {
      "recordType": "hero_signal",
      "companyName": "Freshworks",
      "sourceActor": "signals-collector-web",
      "sourceType": "sample",
      "url": "https://www.freshworks.com/",
      "title": "Sample signal",
      "snippet": "Customer proof and CX automation signals found.",
      "heroScore": 72,
      "confidence": 0.81,
      "persona": "VP Customer Support",
      "heartDimensions": ["Happiness", "Task Success"],
      "status": "signal_found",
      "recommendation": "Develop a customer hero story around measurable support outcomes."
    }
  ]
}
```

### Output

The Actor returns a `hero_report` row and summary object with key findings, proof gaps, signal highlights, and recommended next actions.

### Recommended workflow

Run the discovery, content, signal, or evidence actors first. Then feed their structured rows into this Actor.

### Limitations

This is a packager, not a first-run discovery actor. Report quality depends on evidence quality.

# Actor input Schema

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

Company name used in the generated Hero Intelligence report.

## `analysisData` (type: `object`):

Object containing rows/outputs from Hero Suite actors.

## `datasetRows` (type: `array`):

Optional array of canonical rows copied from suite actor datasets.

## `reportType` (type: `string`):

Depth and style of report to generate.

## `outputFormat` (type: `string`):

Preferred report output style.

## `testMode` (type: `boolean`):

Run a fast deterministic smoke test using sample suite rows.

## Actor input object example

```json
{
  "companyName": "Freshworks",
  "analysisData": {},
  "datasetRows": [],
  "reportType": "comprehensive",
  "outputFormat": "json",
  "testMode": false
}
```

# Actor output Schema

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

Structured canonical rows produced by the actor.

## `summary` (type: `string`):

Human/agent-readable run summary stored in the default key-value store.

# 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 = {
    "companyName": "Freshworks"
};

// Run the Actor and wait for it to finish
const run = await client.actor("shashghosh/hero-report-generator").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 = { "companyName": "Freshworks" }

# Run the Actor and wait for it to finish
run = client.actor("shashghosh/hero-report-generator").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 '{
  "companyName": "Freshworks"
}' |
apify call shashghosh/hero-report-generator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,shashghosh/hero-report-generator"
        }
    }
}

```

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/aprTropjJYU4btsBv/builds/ka9yGp1ivOKVBTMaY/openapi.json