# Reddit Pain Point Monitor (`runtime/reddit-pain-point-monitor`) Actor

Turn Reddit posts and comments into prioritized pain point, buying-intent, competitor, and lead opportunity records for sales and product teams.

- **URL**: https://apify.com/runtime/reddit-pain-point-monitor.md
- **Developed by:** [scraping automation](https://apify.com/runtime) (community)
- **Categories:** Lead generation, Social media, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $40.00 / 1,000 reddit opportunities

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Reddit Pain Point Monitor

Turn Reddit discussions into scored pain point, buying intent, competitor, and lead opportunity records.

### Who this is for

- B2B founders
- Product marketers
- Sales teams
- Market researchers

### What it helps you do

- Find pain points in Reddit posts and comments
- Detect buying intent and competitor mentions
- Prioritize opportunities with evidence

### Inputs you can use

- Reddit items or manual text
- Pain and intent keywords
- Competitors
- Minimum score

### Data you get

- opportunity
- score
- pain keywords
- intent keywords
- competitor
- permalink
- evidence

### How to get better results

- Start with a narrow, specific query or a small list of source URLs.
- Use realistic limits for the first run, then increase the volume once the output looks right.
- Keep source URLs, dates, and location context when you need repeatable market monitoring.
- Review a few sample records before connecting the dataset to a larger workflow.

### Notes

- Results depend on what the public source exposes at run time.
- Some pages may hide, delay, rename, or remove fields, so individual records can have partial data.
- Use the built-in output table to inspect results before exporting to spreadsheets, dashboards, or automation tools.

### Support

If a run returns unexpected data, open an issue from the Actor page with the input used, the run ID, and the result you expected.

# Actor input Schema

## `redditItems` (type: `array`):

Reddit post or comment records, for example items exported by Reddit Scraper lightExtract or full extraction.

## `manualItems` (type: `array`):

Alias for redditItems, useful for bundles and examples.

## `painKeywords` (type: `array`):

Words or phrases that indicate frustration, blocked workflows, bugs, expensive tools, missing features, or alternatives.

## `buyingIntentKeywords` (type: `array`):

Words or phrases that indicate search for a tool, vendor, product, replacement, or recommendation.

## `competitorKeywords` (type: `array`):

Optional competitor, product, brand, or category keywords to detect.

## `mustIncludeKeywords` (type: `array`):

Optional keywords required for an item to be saved.

## `excludeKeywords` (type: `array`):

Optional keywords that exclude an item from the dataset.

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

Maximum number of Reddit items to analyze.

## `minOpportunityScore` (type: `integer`):

Only save records whose opportunity score is at or above this value.

## `failOnNoResults` (type: `boolean`):

Fail the run when no Reddit pain point records are saved.

## Actor input object example

```json
{
  "redditItems": [
    {
      "permalink": "https://www.reddit.com/r/SaaS/comments/example/crm_sync_is_painful/",
      "headline": "CRM sync is painful for our sales team",
      "textBody": "We keep losing leads because our CRM and email tools do not sync. Looking for an alternative that is less expensive.",
      "communityTag": "r/SaaS",
      "voteScore": 42,
      "commentTotal": 18
    }
  ],
  "manualItems": [],
  "painKeywords": [
    "pain",
    "problem",
    "issue",
    "bug",
    "broken",
    "blocked",
    "expensive",
    "alternative",
    "looking for"
  ],
  "buyingIntentKeywords": [
    "looking for",
    "recommend",
    "alternative",
    "switching",
    "tool",
    "software",
    "vendor",
    "solution"
  ],
  "competitorKeywords": [],
  "mustIncludeKeywords": [],
  "excludeKeywords": [],
  "maxItems": 500,
  "minOpportunityScore": 30,
  "failOnNoResults": false
}
```

# Actor output Schema

## `opportunities` (type: `string`):

No description

## `evidence` (type: `string`):

No description

## `segments` (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 = {
    "redditItems": [
        {
            "permalink": "https://www.reddit.com/r/SaaS/comments/example/crm_sync_is_painful/",
            "headline": "CRM sync is painful for our sales team",
            "textBody": "We keep losing leads because our CRM and email tools do not sync. Looking for an alternative that is less expensive.",
            "communityTag": "r/SaaS",
            "voteScore": 42,
            "commentTotal": 18
        }
    ],
    "manualItems": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("runtime/reddit-pain-point-monitor").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 = {
    "redditItems": [{
            "permalink": "https://www.reddit.com/r/SaaS/comments/example/crm_sync_is_painful/",
            "headline": "CRM sync is painful for our sales team",
            "textBody": "We keep losing leads because our CRM and email tools do not sync. Looking for an alternative that is less expensive.",
            "communityTag": "r/SaaS",
            "voteScore": 42,
            "commentTotal": 18,
        }],
    "manualItems": [],
}

# Run the Actor and wait for it to finish
run = client.actor("runtime/reddit-pain-point-monitor").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 '{
  "redditItems": [
    {
      "permalink": "https://www.reddit.com/r/SaaS/comments/example/crm_sync_is_painful/",
      "headline": "CRM sync is painful for our sales team",
      "textBody": "We keep losing leads because our CRM and email tools do not sync. Looking for an alternative that is less expensive.",
      "communityTag": "r/SaaS",
      "voteScore": 42,
      "commentTotal": 18
    }
  ],
  "manualItems": []
}' |
apify call runtime/reddit-pain-point-monitor --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/dInm2PLaZ9XEtQUyl/builds/KYofZjL0yazs1BijX/openapi.json