# Reddit Scraper - Product Mentions & Complaints (`focused_vanguard/reddit-product-mentions-scraper`) Actor

Search Reddit for product mentions, complaints, and feedback. Extract posts/comments with dates, scores, subreddit info. Filter by sentiment. Export to JSON/CSV/Excel. Perfect for brand monitoring and VOC research.

- **URL**: https://apify.com/focused\_vanguard/reddit-product-mentions-scraper.md
- **Developed by:** [Focused Vanguard](https://apify.com/focused_vanguard) (community)
- **Categories:** Lead generation, Integrations, Other
- **Stats:** 12 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

$2.99 / 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/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 Product Mentions Scraper

Search Reddit for product mentions, complaints, and negative reviews. Perfect for brand monitoring, competitive analysis, and customer sentiment tracking.

### What This Actor Does

- **Searches all of Reddit** or specific subreddits for your product/company mentions
- **Finds negative feedback** - complaints, issues, criticism using sentiment analysis
- **Extracts posts AND comments** (optional) for comprehensive coverage
- **Returns structured data** ready for analysis

### Use Cases

- **Brand Monitoring**: Track what people are saying about your product
- **Competitive Intelligence**: Monitor competitor mentions and complaints
- **Customer Insights**: Find common pain points and feature requests
- **PR Crisis Detection**: Catch negative sentiment before it spreads
- **Product Research**: Understand market needs and gaps

### Input Parameters

| Field | Type | Description |
|-------|------|-------------|
| productName | string | Product or company name to search (required) |
| subreddits | array | Specific subreddits to search (empty = all Reddit) |
| maxResults | integer | Maximum posts to return (default: 50, max: 200) |
| includeComments | boolean | Also scrape comments (default: false) |
| negativeOnly | boolean | Only negative sentiment posts (default: true) |
| lookbackDays | integer | Only posts from last N days |

### Output Data

Each result includes:

```json
{
  "id": "reddit-abc123",
  "type": "post",
  "product_name": "Postman",
  "subreddit": "webdev",
  "title": "Anyone else having issues with Postman?",
  "content": "The app has been crashing constantly since the last update...",
  "author": "dev_user123",
  "score": 45,
  "num_comments": 23,
  "date_posted": "2025-12-15T14:30:00Z",
  "url": "https://www.reddit.com/r/webdev/comments/..."
}
```

### Pricing

Recommended Apify Store pricing (Pay per result): **$2.99 / 1,000 items** (posts/comments).

Notes:

- `subreddits` is optional (leave empty to search all of Reddit)
- Enable `includeComments` for deeper coverage (more items returned)

### Example Queries

1. **Find Postman complaints**:
   - productName: "Postman"
   - negativeOnly: true

2. **Monitor Slack in tech subreddits**:
   - productName: "Slack"
   - subreddits: \["webdev", "devops", "sysadmin"]

3. **Full brand audit with comments**:
   - productName: "Notion"
   - includeComments: true
   - maxResults: 100

# Actor input Schema

## `productName` (type: `string`):

Name of the product or company to search for on Reddit. Example: Postman, Slack, Notion

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

Optional. Specific subreddits to search. Leave empty to search all of Reddit.

## `maxResults` (type: `integer`):

Maximum number of posts/comments to return (default: 50, max: 200)

## `includeComments` (type: `boolean`):

Also scrape comments from found posts (slower but more comprehensive)

## `negativeOnly` (type: `boolean`):

If enabled, filters results using simple negative keywords. Off by default to maximize recall.

## `lookbackDays` (type: `integer`):

Only return posts from the last N days

## `fetchFullContent` (type: `boolean`):

Fetches actual post body content via Reddit's API instead of search snippets.

## Actor input object example

```json
{
  "productName": "Postman",
  "subreddits": [],
  "maxResults": 50,
  "includeComments": false,
  "negativeOnly": false,
  "fetchFullContent": true
}
```

# Actor output Schema

## `reviews` (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 = {
    "productName": "Postman",
    "subreddits": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("focused_vanguard/reddit-product-mentions-scraper").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 = {
    "productName": "Postman",
    "subreddits": [],
}

# Run the Actor and wait for it to finish
run = client.actor("focused_vanguard/reddit-product-mentions-scraper").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 '{
  "productName": "Postman",
  "subreddits": []
}' |
apify call focused_vanguard/reddit-product-mentions-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/Wvc1eggrJmydBOkHL/builds/9QcrnSKqVPMUIOK5v/openapi.json