# Social Community Pain-Point Miner (`kayhermes/social-community-pain-point-miner`) Actor

- **URL**: https://apify.com/kayhermes/social-community-pain-point-miner.md
- **Developed by:** [Khoa Nguyen](https://apify.com/kayhermes) (community)
- **Categories:** Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.50 / 1,000 pain point evidences

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

## Social Community Pain-Point Miner

Extract evidence-backed customer pain points, cluster recurring issues, measure severity and purchase intent, and prioritize opportunities.

### Input

Provide `documents[]`, `records[]`, an Apify `datasetId`, or public CSV/JSON `sourceUrls`.

### Output

The Actor writes detailed records to the default Dataset, `OUTPUT` to the default Key-Value Store, and `REPORT.html` for review.

### Quality and limitations

- Deterministic logic with actor-specific tests.
- Public/authorized data only.
- Scores are decision support and require human review.
- No guarantee of sales, legal rights, virality, or product success.

# Actor input Schema

## `documents` (type: `array`):

Extract evidence-backed customer pain points, cluster recurring issues, measure severity and purchase intent, and prioritize opportunities.

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

Provide Source Dataset ID.

## `sourceUrls` (type: `array`):

Provide CSV or JSON source URLs.

## `options` (type: `object`):

Provide Analysis options.

## `stateStoreName` (type: `string`):

Provide Optional named state store.

## `maxItems` (type: `integer`):

Provide Maximum records.

## `webhookUrl` (type: `string`):

Provide Alert or completion webhook.

## Actor input object example

```json
{
  "documents": [
    {
      "documentId": "d1",
      "platform": "reddit",
      "segment": "small-business",
      "authorId": "a1",
      "text": "The setup is confusing and difficult. I wish onboarding had a guided checklist."
    },
    {
      "documentId": "d2",
      "platform": "forum",
      "segment": "small-business",
      "authorId": "a2",
      "text": "Getting started is extremely confusing. I need a solution that guides setup."
    },
    {
      "documentId": "d3",
      "platform": "reddit",
      "segment": "enterprise",
      "authorId": "a3",
      "text": "Customer support never replies and we may cancel."
    },
    {
      "documentId": "d4",
      "platform": "x",
      "segment": "enterprise",
      "authorId": "a4",
      "text": "The subscription is too expensive. We would pay for a smaller plan."
    }
  ],
  "sourceUrls": [],
  "options": {
    "similarityThreshold": 0.1,
    "includeEvidenceRows": true
  },
  "maxItems": 10000
}
```

# Actor output Schema

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

No description

## `reportUrl` (type: `string`):

No description

## `summaryUrl` (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("kayhermes/social-community-pain-point-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("kayhermes/social-community-pain-point-miner").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 kayhermes/social-community-pain-point-miner --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=kayhermes/social-community-pain-point-miner",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/ifIPybdIL21QZcPBL/builds/ol3FATmcMTadYSf0x/openapi.json