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

Extract Reddit comments with their complete thread structure, including nested replies, user information, and engagement metrics. Perfect for analyzing discussions, sentiment analysis, and tracking community engagement on Reddit posts.

- **URL**: https://apify.com/easyapi/reddit-comments-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Social media, Lead generation, Other
- **Features:** Limited permissions
- **Stats:** 288 total users, 1 monthly users, 100.0% runs succeeded, 7 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $4.99 / 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

## Reddit Comments Scraper 💬

Extract complete comment threads from Reddit posts with full conversation context and rich metadata.

### 🌟 Features

- Extract complete comment threads with nested replies
- Capture user information and avatars
- Track comment engagement metrics
- Support for various content types (text, images)
- Duplicate comment detection

### 📊 Output Data Structure

Each comment includes:

- Comment ID and metadata
- Author information and avatar
- Parent-child relationship tracking
- Creation timestamp (ISO format)
- Content and content type
- Engagement metrics (upvotes)
- Moderation status
- Nested replies array

### 💡 Use Cases

- Sentiment analysis
- Discussion tracking
- User engagement analysis
- Content moderation monitoring
- Community feedback analysis
- Market research
- Academic research
- Social media monitoring

### 🔧 Input Parameters

| Parameter | Type | Description |
|-----------|------|-------------|
| postUrl | String | URL of the Reddit post to scrape |
| maxItems | Integer | Maximum number of comments to scrape |
| proxyConfiguration | Object | Optional proxy settings |

#### Input Example

A full explanation of an input example in JSON.

```
{
    "postUrl": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/",
     "maxItems": 100
}
```

#### 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_lhk1f7n",
		"post_id": "t3_1epeshq",
		"author": "AutoModerator",
		"permalink": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/comment/lhk1f7n/",
		"upvotes": 1,
		"content_type": "text",
		"parent_id": null,
		"author_avatar": "https://styles.redditmedia.com/t5_1yz875/styles/profileIcon_klqlly9fc4l41.png?width=64&height=64&frame=1&auto=webp&crop=64:64,smart&s=d2d22c53cc8b2756dc0cfabd790128c50c94a74d",
		"userUrl": "https://www.reddit.com/user/AutoModerator",
		"contentText": "Moderator Announcement\n          Read More »\n        \n      \n          \n    \n    Hey u/Maxie445!\n  \n    If your post is a screenshot of a ChatGPT conversation, please reply to this message with the conversation link or prompt.\n  \n    If your post is a DALL-E 3 image post, please reply with the prompt used to make this image.\n  \n    Consider joining our public discord server! We have free bots with GPT-4 (with vision), image generators, and more!\n  \n    🤖\n  \n    Note: For any ChatGPT-related concerns, email support@openai.com\n  \n    I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.",
		"created_time": "2024-08-11T07:12:09.272000+0000"
	},
	{
		"comment_id": "t1_lhkeis2",
		"post_id": "t3_1epeshq",
		"author": "Alternative_Lynx_155",
		"permalink": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/comment/lhkeis2/",
		"upvotes": 1434,
		"content_type": "text",
		"parent_id": null,
		"author_avatar": "https://styles.redditmedia.com/t5_4g5czk/styles/profileIcon_729ggyg69ivd1.jpeg?width=64&height=64&frame=1&auto=webp&crop=64:64,smart&s=3efec1c537ca85a1aeacaa9a0c7a58b052181ef3",
		"userUrl": "https://www.reddit.com/user/Alternative_Lynx_155",
		"contentText": "That is crazy. When I was younger I thought thispersondoesnotexist.com was scary, but this is something completly different.",
		"created_time": "2024-08-11T09:39:54.843000+0000",
		"replies": [
			{
				"comment_id": "t1_lhmhxjf",
				"post_id": "t3_1epeshq",
				"author": "who_am_i_to_say_so",
				"permalink": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/comment/lhmhxjf/",
				"upvotes": 279,
				"content_type": "text",
				"parent_id": "t1_lhkeis2",
				"author_avatar": "https://styles.redditmedia.com/t5_9nppax/styles/profileIcon_kmdpkdhclabd1.png?width=64&height=64&frame=1&auto=webp&crop=64:64,smart&s=a0b6857e2d06bc9b7e7df01e5cea98fc4eacb31e",
				"userUrl": "https://www.reddit.com/user/who_am_i_to_say_so",
				"contentText": "I just spent 30 mins f5'ing that page. It's so addicting!",
				"created_time": "2024-08-11T18:22:16.497000+0000"
			}
		]
	},
    ...
]
```

# Actor input Schema

## `postUrl` (type: `string`):

URL of the Reddit post to scrape

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

Maximum number of comments to scrape

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

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

## Actor input object example

```json
{
  "postUrl": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/",
  "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 = {
    "postUrl": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/",
    "maxItems": 30,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/reddit-comments-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 = {
    "postUrl": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/",
    "maxItems": 30,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("easyapi/reddit-comments-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 '{
  "postUrl": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/",
  "maxItems": 30,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call easyapi/reddit-comments-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/reddit-comments-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/gc3dciRNOhC9Ko1bz/builds/ArwGvmA7WJVqu9aEI/openapi.json
