# Reddit Scraper (`morph_coder/reddit-scraper`) Actor

Scrape Reddit posts and comments by direct URL. Returns full content, engagement metrics (score, upvote ratio, awards), and metadata.

- **URL**: https://apify.com/morph\_coder/reddit-scraper.md
- **Developed by:** [Morph Coder](https://apify.com/morph_coder) (community)
- **Categories:** SEO tools, Social media, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 result items

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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 Scraper — Direct URL Post & Comment Scraper

Reddit Scraper is an easy-to-use tool designed to extract content, engagement metrics, and metadata from Reddit posts and comments using direct URLs. 

Instead of searching or scraping whole subreddits, you provide specific post or comment links, and this tool extracts precisely those items.

---

### 🚀 Features

- **Direct Post Scraping**: Extract post titles, bodies (text & HTML), authors, subreddits, dates, and full metadata.
- **Direct Comment Scraping**: Extract specific comments by direct link—only the comment content, its author, and its unique engagement metrics are collected, without bloating your datasets with parent post details.
- **Reach & Engagement Metrics**: Scrapes scores, upvote ratios, awards (counts), gilded status, and comment controversiality.
- **Comment Trees Support**: Optionally crawl first-level comments under a post (up to a custom limit).

---

### ⚙️ How It Works

The scraper uses headless browser automation powered by Puppeteer to load Reddit pages, wait for content to render, and extract the post or comment data directly. It uses a combination of page-context API calls and DOM fallbacks to ensure robust extraction and bypass blocking.

---

### 💳 Pricing Policy

This actor uses the **Pay-Per-Result** model, charging per successfully scraped item (via the `reddit-scrape-item` event). 

- **Platform Resource Costs**: Platform compute resource usage (CPU, RAM, network) is billed directly to your Apify account. *Note: We will monitor resource usage over the first month to potentially include compute costs directly in the event price in future updates.*
- **Discount Plans**:
  - **Free Plan**: Baseline price per 1,000 results.
  - **Paid Subscription**: Discounted price per 1,000 results.
  *(Refer to the **Pricing** tab on the Actor page for the current active rates.)*

---

### 📥 Input Parameters

The actor accepts the following parameters (defined in `input_schema.json`):

| Field | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `urls` | Array | (Required) | List of direct Reddit post or comment URLs to scrape. |
| `includeComments` | Boolean | `false` | Whether to scrape comments for post URLs. |
| `maxComments` | Integer | `100` | Maximum number of first-level comments to scrape per post. |
| `requestDelayMs` | Integer | `1000` | Base delay between crawler requests (to prevent rate limits). |
| `maxConcurrency` | Integer | `4` | Maximum concurrent requests. |
| `debugMode` | Boolean | `false` | Enable detailed debugging logs. |

#### Input Example
```json
{
  "urls": [
    "https://www.reddit.com/r/programming/comments/1fjsg57/writing_code_is_easy_reading_code_is_hard/",
    "https://www.reddit.com/r/Gonewildpale/comments/1fjsg57/_/lnq8dkj/"
  ],
  "includeComments": true,
  "maxComments": 5
}
````

***

### 💻 API Integration

You can easily trigger this actor from your applications or scripts via Apify's API.

#### Run via cURL

```bash
curl --request POST \
  --url "https://api.apify.com/v2/acts/morph_coder~reddit-scraper/runs?token=YOUR_API_TOKEN" \
  --header 'content-type: application/json' \
  --data '{
    "urls": [
      "https://www.reddit.com/r/programming/comments/1fjsg57/writing_code_is_easy_reading_code_is_hard/"
    ],
    "includeComments": true,
    "maxComments": 10
  }'
```

#### Run via Apify Python SDK

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

## Start the actor and wait for it to finish
run = client.actor("morph_coder/reddit-scraper").call(
    run_input={
        "urls": ["https://www.reddit.com/r/programming/comments/1fjsg57/writing_code_is_easy_reading_code_is_hard/"],
        "includeComments": True,
        "maxComments": 10,
    }
)

## Fetch results from the run's dataset
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

#### Run via Apify JavaScript SDK

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

// Start the actor and wait for it to finish
const run = await client.actor('morph_coder/reddit-scraper').call({
    urls: ['https://www.reddit.com/r/programming/comments/1fjsg57/writing_code_is_easy_reading_code_is_hard/'],
    includeComments: true,
    maxComments: 10,
});

// Fetch results
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

***

### ⚖️ Disclaimer & Non-Affiliation

- **Public Data Only**: This actor extracts only publicly available information that is accessible without authentication. It does not access private messages, personal account settings, or bypass age/consent gates.
- **Non-Affiliation**: This tool is an independent software project. It is not affiliated with, sponsored by, authorized by, or in any way officially connected with Reddit, Inc., or any of its subsidiaries or affiliates. Reddit is a registered trademark of Reddit, Inc.

# Actor input Schema

## `urls` (type: `array`):

Reddit post or comment direct URLs to scrape.

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

If enabled and the URL is a post, scrape first-level comments as well (up to maxComments). Direct comment URLs will always scrape the comment itself regardless of this setting.

## `maxComments` (type: `integer`):

Maximum number of comments to scrape per post (first level only).

## `proxy` (type: `object`):

Apify proxy configuration. Residential proxy recommended.

## `requestDelayMs` (type: `integer`):

Pause before each page load (±25% jitter). Default 1000. Use 1500–3000 to reduce rate limits; lower values are faster but may increase 403 errors.

## `maxConcurrency` (type: `integer`):

Maximum parallel requests.

## `debugMode` (type: `boolean`):

Enable verbose logging.

## Actor input object example

```json
{
  "urls": [
    "https://www.reddit.com/r/pics/comments/1egpvkx/this_is_a_test/"
  ],
  "includeComments": false,
  "maxComments": 100,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "requestDelayMs": 1000,
  "maxConcurrency": 4,
  "debugMode": false
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset items from this run.

# 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 = {
    "urls": [
        "https://www.reddit.com/r/pics/comments/1egpvkx/this_is_a_test/"
    ],
    "proxy": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("morph_coder/reddit-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 = {
    "urls": ["https://www.reddit.com/r/pics/comments/1egpvkx/this_is_a_test/"],
    "proxy": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("morph_coder/reddit-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 '{
  "urls": [
    "https://www.reddit.com/r/pics/comments/1egpvkx/this_is_a_test/"
  ],
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call morph_coder/reddit-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Reddit Scraper",
        "description": "Scrape Reddit posts and comments by direct URL. Returns full content, engagement metrics (score, upvote ratio, awards), and metadata.",
        "version": "0.0",
        "x-build-id": "AAQ2vdhrF9ODbpHkH"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/morph_coder~reddit-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-morph_coder-reddit-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/morph_coder~reddit-scraper/runs": {
            "post": {
                "operationId": "runs-sync-morph_coder-reddit-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/morph_coder~reddit-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-morph_coder-reddit-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "urls"
                ],
                "properties": {
                    "urls": {
                        "title": "URLs",
                        "type": "array",
                        "description": "Reddit post or comment direct URLs to scrape.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "includeComments": {
                        "title": "Include comments",
                        "type": "boolean",
                        "description": "If enabled and the URL is a post, scrape first-level comments as well (up to maxComments). Direct comment URLs will always scrape the comment itself regardless of this setting.",
                        "default": false
                    },
                    "maxComments": {
                        "title": "Max comments",
                        "minimum": 1,
                        "maximum": 1000,
                        "type": "integer",
                        "description": "Maximum number of comments to scrape per post (first level only).",
                        "default": 100
                    },
                    "proxy": {
                        "title": "Proxy",
                        "type": "object",
                        "description": "Apify proxy configuration. Residential proxy recommended."
                    },
                    "requestDelayMs": {
                        "title": "Delay between requests (ms)",
                        "minimum": 0,
                        "maximum": 30000,
                        "type": "integer",
                        "description": "Pause before each page load (±25% jitter). Default 1000. Use 1500–3000 to reduce rate limits; lower values are faster but may increase 403 errors.",
                        "default": 1000
                    },
                    "maxConcurrency": {
                        "title": "Max concurrency",
                        "minimum": 1,
                        "maximum": 10,
                        "type": "integer",
                        "description": "Maximum parallel requests.",
                        "default": 4
                    },
                    "debugMode": {
                        "title": "Debug mode",
                        "type": "boolean",
                        "description": "Enable verbose logging.",
                        "default": false
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```