# Reddit Comments Search Scraper (`easyapi/reddit-comments-search-scraper`) Actor

Search and extract Reddit comments with advanced filtering options. Get detailed metadata including comment content, author info, post context, and engagement metrics. Perfect for sentiment analysis, trend research, and social media monitoring.

- **URL**: https://apify.com/easyapi/reddit-comments-search-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Social media
- **Stats:** 344 total users, 23 monthly users, 98.7% runs succeeded, 5 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?

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 Comments Search Scraper 🔍

Extract Reddit comments matching your search query with rich metadata and context information.

### 🌟 Features

- Search comments across all Reddit communities
- Multiple sorting options (relevance, top, new, hot)
- Safe search filtering
- Rich metadata extraction
- Support for text, image, and video content

### 📊 Output Structure

Each comment includes:

- Timestamps and scores
- Full comment content (text/image/video)
- Complete post context
- Subreddit information
- Author details

### 💡 Use Cases

- Content Research
- Sentiment Analysis
- Market Research
- Brand Monitoring
- Trend Analysis
- Academic Research
- Community Engagement Analysis
- Competition Analysis

### 🔧 Input Parameters

| Parameter | Type | Description |
|-----------|------|-------------|
| query | String | Search term for finding comments |
| sort | String | Sort order (relevance, top, new, hot) |
| safeSearch | String | Enable/disable safe search (0/1) |
| maxItems | Integer | Maximum number of comments to extract |
| proxyConfiguration | Object | Optional proxy settings |

#### Input Example

A full explanation of an input example in JSON.

```
{
    "query": "ai",
    "sort": "relevance",
    "safeSearch": "0",
    "maxItems": 30
}
```

#### 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.

```
[
	{
		"post": {
			"title": "Elon Musk's xAI buys social media platform X for $45 billion",
			"url": "https://www.reddit.com/r/news/comments/1jm6dhu/elon_musks_xai_buys_social_media_platform_x_for/",
			"score": 0,
			"comment_count": 0
		},
		"subreddit": {
			"name": "Elon Musk's xAI buys social media platform X for $45 billion"
		},
		"author": {
			"name": "lawn_question_guy"
		},
		"contentText": "\"$45 billion\" of xAI stock... so you have to accept xAI's totally specious $75B valuation in order to believe this transaction is actually worth $45 billion.  What a joke.\n  \n    xAI has raised around $20 billion from investors and sells nothing but vaporware.",
		"content_type": "text",
		"created_timestamp": "2025-03-28T21:37:57.077000+0000"
	},
    ...
]
```

# Actor input Schema

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

Search term to find comments

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

How to sort the search results

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

Enable (1) or disable (0) safe search

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

Maximum number of comments to extract

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

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

## Actor input object example

```json
{
  "query": "ai",
  "sort": "relevance",
  "safeSearch": "0",
  "maxItems": 30,
  "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": "ai",
    "sort": "relevance",
    "safeSearch": "0",
    "maxItems": 30,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/reddit-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": "ai",
    "sort": "relevance",
    "safeSearch": "0",
    "maxItems": 30,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("easyapi/reddit-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": "ai",
  "sort": "relevance",
  "safeSearch": "0",
  "maxItems": 30,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call easyapi/reddit-comments-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/reddit-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/TzgbQsMEVgy5erOkt/builds/fXFv86ai69uUzvuFS/openapi.json