# Reddit App Idea & Product Gap Finder (`happyfhantum/reddit-wish-app-gap-finder`) Actor

Search Reddit for app ideas, unmet needs, alternatives, and product gaps.

- **URL**: https://apify.com/happyfhantum/reddit-wish-app-gap-finder.md
- **Developed by:** [Kelsey Todd](https://apify.com/happyfhantum) (community)
- **Categories:** Lead generation, Social media
- **Stats:** 6 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.01 / reddit query processed

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

## Reddit App Idea & Product Gap Finder

Search Reddit for app ideas, unmet needs, alternatives, and product gaps where people clearly describe problems they want solved.

### What it does

- Searches Reddit sitewide or within target subreddits.
- Uses default wish-language queries if you do not provide your own.
- Scores posts for willingness-to-pay, subscription fatigue, and opportunity strength.
- Tags likely verticals such as finance, e-commerce, ADHD, and developer workflows.
- Useful for founders, researchers, and product validation.

# Actor input Schema

## `searchTerms` (type: `array`):

Keywords or phrases to search for on Reddit.

## `subreddits` (type: `array`):

Optional subreddit names like analytics, excel, or businessintelligence. Leave empty for sitewide search.

## `maxPostsPerQuery` (type: `integer`):

Cap how many posts to return for each search term or subreddit-term pair.

## `includeTopComments` (type: `boolean`):

Fetch the first high-signal comment for extra context and intent tagging.

## `sort` (type: `string`):

Reddit search sort mode.

## `timeFilter` (type: `string`):

Reddit time window for the search.

## `requestTimeoutSecs` (type: `integer`):

Maximum time to wait for a Reddit request before skipping it.

## `useApifyProxy` (type: `boolean`):

Route Reddit requests through Apify Proxy. Recommended for cloud runs where Reddit blocks datacenter IPs.

## Actor input object example

```json
{
  "searchTerms": [
    "alternative to",
    "need a tool for"
  ],
  "subreddits": [
    "SaaS",
    "smallbusiness"
  ],
  "maxPostsPerQuery": 25,
  "includeTopComments": true,
  "sort": "relevance",
  "timeFilter": "year",
  "requestTimeoutSecs": 30,
  "useApifyProxy": true
}
```

# 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 = {
    "searchTerms": [
        "alternative to",
        "need a tool for"
    ],
    "subreddits": [
        "SaaS",
        "smallbusiness"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("happyfhantum/reddit-wish-app-gap-finder").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 = {
    "searchTerms": [
        "alternative to",
        "need a tool for",
    ],
    "subreddits": [
        "SaaS",
        "smallbusiness",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("happyfhantum/reddit-wish-app-gap-finder").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 '{
  "searchTerms": [
    "alternative to",
    "need a tool for"
  ],
  "subreddits": [
    "SaaS",
    "smallbusiness"
  ]
}' |
apify call happyfhantum/reddit-wish-app-gap-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=happyfhantum/reddit-wish-app-gap-finder",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/A3gelrkH0tfOzTcky/builds/2B9hJoFPUswQQhFjA/openapi.json