# SubReddit Comments Search Scraper (`easyapi/subreddit-comments-search-scraper`) Actor

Extract Reddit comments from any subreddit's search results with advanced filtering. Get detailed comment data including timestamps, user info, votes, and more. Perfect for market research, trend analysis and community insights.

- **URL**: https://apify.com/easyapi/subreddit-comments-search-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Social media
- **Features:** Limited permissions
- **Stats:** 41 total users, 0 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $2.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## SubReddit Comments Search Scraper 🔍

Extract comments from Reddit search results with rich metadata and advanced filtering options.

### 🎯 Features

- Search and extract comments from any subreddit
- Advanced sorting options (relevance, top, new, comments, hot)
- Safe search filtering
- Configurable maximum items limit
- Rich metadata extraction

### 📊 Output Data Structure

Each scraped comment includes:

- Comment ID and Post ID
- Subreddit name
- Author name and profile URL
- Author avatar URL (when available)
- Creation timestamp (ISO format)
- Comment content
- Vote count
- Comment count
- Post title and URL
- Comment score

### 💡 Use Cases

- Market research and sentiment analysis
- Community feedback monitoring
- Content discovery
- User behavior analysis
- Competitive research
- Social media monitoring
- Academic research
- Trend identification

### 🔧 Input Parameters

| Parameter | Type | Description |
|-----------|------|-------------|
| query | String | Search keyword or phrase |
| subReddit | String | Target subreddit name (without 'r/') |
| sort | String | Sort results by: 'relevance', 'top', 'new', 'comments', or 'hot' |
| safeSearch | String | Enable/disable safe search ('0' for safe, '1' for unsafe) |
| maxItems | Integer | Maximum number of items to scrape |

#### Input Example

A full explanation of an input example in JSON.

```
{
    "query": "ai",
    "subReddit": "AppIdeas",
    "sort": "relevance",
    "safeSearch": "0",
    "maxItems": 45
}
```

#### Output sample

The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

```
[
	{
		"comment_id": "t1_lv2y3tb",
		"post_id": "t3_1gi6v3q",
		"subreddit": "AppIdeas",
		"author": "tdaawg",
		"created_time": "2024-11-02T21:30:48.658Z",
		"score": 5,
		"author_url": "https://www.reddit.com/user/tdaawg/",
		"title": "What are you working on right now? Let’s share ideas!",
		"url": "https://www.reddit.com/r/AppIdeas/comments/1gi6v3q/what_are_you_working_on_right_now_lets_share_ideas/",
		"comment_content": "Looks cool.\n  \n    I’m working on https://appflows.ai - a free tool to help product managers and founders plan their apps.",
		"votes": 6,
		"comments": 16
	},
	{
		"comment_id": "t1_lur9mgq",
		"post_id": "t3_1ggiwgu",
		"subreddit": "AppIdeas",
		"author": "coconutappl",
		"created_time": "2024-10-31T20:51:35.200Z",
		"score": 7,
		"author_url": "https://www.reddit.com/user/coconutappl/",
		"title": "What are you building right now? Let’s share!",
		"url": "https://www.reddit.com/r/AppIdeas/comments/1ggiwgu/what_are_you_building_right_now_lets_share/",
		"comment_content": "not an app but i am just building free web tools on one site. i have ai, music, design, dev tools, games.\n  \n    justbuildthings.com",
		"votes": 11,
		"comments": 84
	},
    ...
]
```

# Actor input Schema

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

Keyword or phrase to search for

## `subReddit` (type: `string`):

Target subreddit name (without 'r/')

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

How to sort the search results

## `safeSearch` (type: `string`):

Enable or disable safe search

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

Maximum number of items to scrape (default: 100)

## `proxyConfiguration` (type: `object`):

Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking.

## Actor input object example

```json
{
  "query": "app",
  "subReddit": "AppIdeas",
  "sort": "relevance",
  "safeSearch": "0",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "query": "app",
    "subReddit": "AppIdeas",
    "sort": "relevance",
    "safeSearch": "0",
    "maxItems": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/subreddit-comments-search-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 = {
    "query": "app",
    "subReddit": "AppIdeas",
    "sort": "relevance",
    "safeSearch": "0",
    "maxItems": 100,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("easyapi/subreddit-comments-search-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "app",
  "subReddit": "AppIdeas",
  "sort": "relevance",
  "safeSearch": "0",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call easyapi/subreddit-comments-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/subreddit-comments-search-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/LxUqDITji6HDRpq5t/builds/dAiujBVcCarp3wpMV/openapi.json