# Reddit Trend Analyzer (`mapsize17/reddit-trend-analyzer`) Actor

Analyze Reddit trends, hot topics, and community sentiment. Track subreddit activity, post engagement, and emerging discussions across communities.

- **URL**: https://apify.com/mapsize17/reddit-trend-analyzer.md
- **Developed by:** [Rey-An](https://apify.com/mapsize17) (community)
- **Categories:** Social media
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## 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 Trend Analyzer

Searches Reddit for trending topics and discussions. Returns posts with scores, comments, awards, and metadata.

### Features

- Browse subreddits by sort order (hot, new, top, rising)
- Search by keyword across all of Reddit
- Fetches top comments for high-scoring posts
- No authentication required

### Input

| Field | Type | Description |
|-------|------|-------------|
| subreddit | String | Subreddit name without r/ (optional) |
| query | String | Search keyword (optional) |
| sort | String | Sort order: hot, new, top, rising (default: hot) |
| limit | Integer | Max posts (default: 25, max: 100) |

### Output

Each dataset item contains:

- `title` - Post title
- `selftext` - Post body text
- `subreddit` - Source subreddit
- `author` - Poster username
- `score` - Upvote score
- `upvoteRatio` - Upvote percentage
- `numComments` - Comment count
- `topComments` - Top 5 comments with scores
- `flair` - Post flair
- `awardCount` - Number of awards

### Use Cases

- Market research
- Trend spotting
- Sentiment analysis
- Content ideation

# Actor input Schema

## `subreddit` (type: `string`):

Subreddit name (without r/). Optional if query is provided.

## `query` (type: `string`):

Keyword to search for. Optional if subreddit is provided.

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

How to sort results

## `limit` (type: `integer`):

Maximum number of posts to return (max 100)

## Actor input object example

```json
{
  "subreddit": "entrepreneur",
  "query": "print on demand",
  "sort": "hot",
  "limit": 25
}
```

# 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 = {
    "subreddit": "entrepreneur",
    "query": "print on demand",
    "sort": "hot",
    "limit": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("mapsize17/reddit-trend-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 = {
    "subreddit": "entrepreneur",
    "query": "print on demand",
    "sort": "hot",
    "limit": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("mapsize17/reddit-trend-analyzer").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 '{
  "subreddit": "entrepreneur",
  "query": "print on demand",
  "sort": "hot",
  "limit": 25
}' |
apify call mapsize17/reddit-trend-analyzer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=mapsize17/reddit-trend-analyzer",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/EAcNETWPtyFHdj4jw/builds/Bf1rKUXC3YxCtPMcA/openapi.json