# 💬 Reddit Scraper (`taroyamada/reddit-data-scraper`) Actor

Scrape Reddit posts and comments from any subreddit via official JSON API. Sort by hot, new, top, rising with time filters. No browser or API key needed. Great for sentiment analysis.

- **URL**: https://apify.com/taroyamada/reddit-data-scraper.md
- **Developed by:** [太郎 山田](https://apify.com/taroyamada) (community)
- **Categories:** Social media, Automation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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 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

Scrape Reddit posts and comments from any subreddit via official JSON API. Sort by hot, new, top, rising. No browser or API key needed.

### Store Quickstart

Start with the **Quickstart** template (1 subreddit, hot, 25 posts). For sentiment analysis, use **Deep Scrape** with comments enabled.

### Key Features

- 💬 **Official Reddit JSON API** — Uses old.reddit.com/r/{sub}/{sort}.json
- 🔀 **Multiple sort modes** — hot, new, top, rising with time filters
- 💭 **Comments included** — Optional nested comment extraction
- 📊 **Post metadata** — Score, author, subreddit, created_utc, num_comments
- 🧩 **Self + link posts** — Both text posts and URL submissions
- 🔑 **No API key needed** — Uses public JSON endpoints

### Use Cases

| Who | Why |
|-----|-----|
| **Market researchers** | Analyze consumer sentiment on brand/product subreddits |
| **Crisis monitoring** | Track negative mentions in real-time |
| **Content marketers** | Discover trending topics and user pain points |
| **Gaming/media analysts** | Monitor fan community reactions |
| **Academic researchers** | Collect Reddit datasets for NLP research |

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| subreddits | string[] | (required) | Subreddit names (max 20) |
| sort | string | hot | hot, new, top, rising |
| maxItems | integer | 25 | Max posts per subreddit (1-500) |
| includeComments | boolean | false | Include nested comments |

### Input Example

```json
{
  "subreddits": ["programming", "technology"],
  "sort": "hot",
  "maxItems": 50,
  "includeComments": true
}
````

### Output Example

```json
{
  "title": "New JavaScript framework released",
  "author": "dev_user",
  "score": 1250,
  "url": "https://example.com/framework",
  "selftext": "Detailed writeup inside...",
  "subreddit": "programming",
  "createdUtc": 1712345678,
  "numComments": 342,
  "comments": [{"author": "...", "body": "..."}]
}
```

### FAQ

**Does Reddit block this?**

Reddit may IP-block datacenters. If Apify infrastructure is blocked, use PROXY\_URL env var with residential proxy.

**Can I scrape private subreddits?**

No. Only public subreddits accessible to unauthenticated users.

**How many comments per post?**

Top-level comments only, limited to ~200 per post (Reddit API default).

**What's the difference from Apify's reddit-scraper-lite?**

No DOM dependency, cleaner output schema, proxy fallback built-in.

### Related Actors

DevOps & Tech Intel cluster — explore related Apify tools:

- [🌐 DNS Propagation Checker](https://apify.com/taroyamada/dns-propagation-checker) — Check DNS propagation across 8 global resolvers (Google, Cloudflare, Quad9, OpenDNS).
- [🔍 Subdomain Finder](https://apify.com/taroyamada/subdomain-finder) — Discover subdomains for any domain using Certificate Transparency logs (crt.
- [🧹 CSV Data Cleaner](https://apify.com/taroyamada/csv-data-cleaner) — Clean CSV data: trim whitespace, remove empty rows, deduplicate by columns, sort.
- [📦 NPM Package Analyzer](https://apify.com/taroyamada/npm-package-intelligence) — Analyze npm packages: download stats, dependencies, licenses, deprecation status.

### Cost

**Pay Per Event**:

- `actor-start`: $0.01 (flat fee per run)
- `dataset-item`: $0.003 per output item

**Example**: 1,000 items = $0.01 + (1,000 × $0.003) = **$3.01**

No subscription required — you only pay for what you use.

# Actor input Schema

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

Subreddit names without r/ (max 50).

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

Sort order for results

## `timeFilter` (type: `string`):

Time window filter (hour, day, week, month, year, all)

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

Maximum number of items to return

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

Include comments in output

## `timeoutMs` (type: `integer`):

Request timeout in milliseconds

## `delivery` (type: `string`):

Where to send results: dataset or webhook

## `webhookUrl` (type: `string`):

Webhook URL to POST results to (if delivery=webhook)

## `dryRun` (type: `boolean`):

Run without saving results (for testing)

## Actor input object example

```json
{
  "subreddits": [
    "javascript"
  ],
  "sort": "hot",
  "timeFilter": "all",
  "maxItems": 100,
  "includeComments": false,
  "timeoutMs": 15000,
  "delivery": "dataset",
  "dryRun": false
}
```

# 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 = {
    "subreddits": [
        "javascript"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("taroyamada/reddit-data-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 = { "subreddits": ["javascript"] }

# Run the Actor and wait for it to finish
run = client.actor("taroyamada/reddit-data-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 '{
  "subreddits": [
    "javascript"
  ]
}' |
apify call taroyamada/reddit-data-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "💬 Reddit Scraper",
        "description": "Scrape Reddit posts and comments from any subreddit via official JSON API. Sort by hot, new, top, rising with time filters. No browser or API key needed. Great for sentiment analysis.",
        "version": "0.1",
        "x-build-id": "hd3AlUCfxfXdZ9J85"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/taroyamada~reddit-data-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-taroyamada-reddit-data-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/taroyamada~reddit-data-scraper/runs": {
            "post": {
                "operationId": "runs-sync-taroyamada-reddit-data-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/taroyamada~reddit-data-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-taroyamada-reddit-data-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "subreddits"
                ],
                "properties": {
                    "subreddits": {
                        "title": "Subreddits",
                        "type": "array",
                        "description": "Subreddit names without r/ (max 50).",
                        "items": {
                            "type": "string"
                        }
                    },
                    "sort": {
                        "title": "Sort",
                        "enum": [
                            "hot",
                            "new",
                            "top",
                            "rising",
                            "controversial"
                        ],
                        "type": "string",
                        "description": "Sort order for results",
                        "default": "hot"
                    },
                    "timeFilter": {
                        "title": "Time Filter",
                        "enum": [
                            "hour",
                            "day",
                            "week",
                            "month",
                            "year",
                            "all"
                        ],
                        "type": "string",
                        "description": "Time window filter (hour, day, week, month, year, all)",
                        "default": "all"
                    },
                    "maxItems": {
                        "title": "Max Items per Subreddit",
                        "minimum": 1,
                        "maximum": 500,
                        "type": "integer",
                        "description": "Maximum number of items to return",
                        "default": 100
                    },
                    "includeComments": {
                        "title": "Include Comments",
                        "type": "boolean",
                        "description": "Include comments in output",
                        "default": false
                    },
                    "timeoutMs": {
                        "title": "Timeout (ms)",
                        "minimum": 1000,
                        "maximum": 30000,
                        "type": "integer",
                        "description": "Request timeout in milliseconds",
                        "default": 15000
                    },
                    "delivery": {
                        "title": "Delivery",
                        "enum": [
                            "dataset",
                            "webhook"
                        ],
                        "type": "string",
                        "description": "Where to send results: dataset or webhook",
                        "default": "dataset"
                    },
                    "webhookUrl": {
                        "title": "Webhook URL",
                        "type": "string",
                        "description": "Webhook URL to POST results to (if delivery=webhook)"
                    },
                    "dryRun": {
                        "title": "Dry Run",
                        "type": "boolean",
                        "description": "Run without saving results (for testing)",
                        "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```