# Hero Content Analyzer - B2B Proof Gap Audit (`shashghosh/hero-content-analyzer`) Actor

Analyze a company website for customer proof, transformation-story signals, weak evidence, and missing proof sections.

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

## Pricing

$2.00 / 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 Content Analyzer — Audit Proof Gaps on B2B Websites

Hero Content Analyzer audits B2B websites for customer proof, transformation-story signals, weak evidence, and missing proof sections.

### What it does

Give the Actor a company website. It crawls accessible public pages and returns structured rows showing where the site has strong proof, weak proof, missing customer evidence, or potential hero-story opportunities.

### Best for

- B2B founders checking whether their website has enough proof
- Marketing and content teams preparing a website refresh
- Agencies doing fast proof/content audits
- GTM teams checking whether an account’s website has credible customer evidence

### Example input

```json
{
  "companyWebsite": "https://www.freshworks.com/",
  "companyName": "Freshworks",
  "maxPages": 3,
  "contentTypes": "case-studies,testimonials,customers"
}
```

### Output

The dataset includes fields such as `recordType`, `companyName`, `sourceActor`, `sourceType`, `url`, `title`, `snippet`, `heroScore`, `confidence`, `status`, and `recommendation`.

### Recommended workflow

Start here if you do not know which Hero Suite Actor to run first. The buyer question is simple: **where is this website weak on customer proof?**

Then use:

1. Hero Customer Discovery v2 to find proof/customer candidates.
2. Hero LinkedIn Evidence Analyzer to analyze supplied social evidence.
3. Hero Report Generator to package the final executive report.

### Limitations

Some websites block crawling. When that happens, the Actor returns structured `no_signal` or low-evidence rows instead of pretending coverage is complete. This is a proof/content diagnostic, not a full SEO crawler.

# Actor input Schema

## `companyWebsite` (type: `string`):

Start URL to crawl.

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

Optional company name for output rows.

## `contentTypes` (type: `string`):

Comma-separated focus areas.

## `maxPages` (type: `integer`):

Maximum number of pages to crawl/analyze from the website.

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

Run a fast deterministic smoke test without crawling external pages.

## Actor input object example

```json
{
  "companyWebsite": "https://www.freshworks.com/",
  "companyName": "",
  "contentTypes": "case-studies,testimonials,customers,blog",
  "maxPages": 10,
  "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 = {
    "companyWebsite": "https://www.freshworks.com/"
};

// Run the Actor and wait for it to finish
const run = await client.actor("shashghosh/hero-content-analyzer").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 = { "companyWebsite": "https://www.freshworks.com/" }

# Run the Actor and wait for it to finish
run = client.actor("shashghosh/hero-content-analyzer").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 '{
  "companyWebsite": "https://www.freshworks.com/"
}' |
apify call shashghosh/hero-content-analyzer --silent --output-dataset

```

## MCP server setup

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

```

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/eJjrs3CuC11FyLz1T/builds/GgHI0wkfWvbMKY4IK/openapi.json