# Reddit Scraper - Posts, Comments & Subreddits (`viralanalyzer/reddit-scraper`) Actor
Extract Reddit posts, comments, subreddit data, and user profiles.
- **URL**: https://apify.com/viralanalyzer/reddit-scraper.md
- **Developed by:** [viralanalyzer](https://apify.com/viralanalyzer) (community)
- **Categories:** Social media, News
- **Stats:** 27 total users, 3 monthly users, 79.4% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars
## Pricing
$5.00 / 1,000 post scrapeds
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
> 🔗 [View on Apify Store](https://apify.com/viralanalyzer/reddit-scraper) | 🇺🇸 English | [🇧🇷 Português](#português)
Scrape Reddit posts, comment trees, and sentiment from any subreddit or global search query. Get scores, upvote ratios, flair, and full recursive comment trees. No API key needed.
### ✨ Features
- 🔍 **Subreddit scraping** — hot, new, top, rising, controversial posts
- 🌐 **Global search** — search across all of Reddit
- 🌳 **Recursive comment tree** — configurable depth and limit
- 💬 **Sentiment analysis** — PT-BR + EN support (positivo/neutro/negativo)
- 🧹 **content_clean** — HTML-stripped text ready for ML/AI training
- ⚡ **Lightweight** — pure HTTP + JSON, no browser required
- ✅ **Validated output** — every item checked before delivery
- 🌐 **Apify Proxy** — built-in proxy support for reliability
### 📥 Input
| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `subreddits` | `string[]` | `["brasil"]` | List of subreddits to scrape |
| `searchQuery` | `string` | `""` | Global search query (overrides subreddits) |
| `sort` | `enum` | `"hot"` | Sort: hot, new, top, rising, controversial |
| `time` | `enum` | `"week"` | Time filter: hour, day, week, month, year, all |
| `maxPosts` | `integer` | `10` | Maximum posts to collect |
| `includeComments` | `boolean` | `true` | Fetch comment trees |
| `commentsDepth` | `integer` | `3` | Max depth for comment tree recursion |
| `commentsLimit` | `integer` | `10` | Max top-level comments per post |
#### Example Input
```json
{
"subreddits": ["brasil", "technology"],
"sort": "hot",
"time": "week",
"maxPosts": 5,
"includeComments": true,
"commentsDepth": 2,
"commentsLimit": 5
}
````
### 📤 Output
Each post produces one object:
| Field | Type | Description |
|-------|------|-------------|
| `post_id` | `string` | Reddit post ID |
| `subreddit` | `string` | Subreddit name |
| `title` | `string` | Post title |
| `selftext` | `string` | Post body text |
| `author` | `string` | Author username |
| `score` | `integer` | Net upvotes |
| `upvote_ratio` | `float` | Ratio of upvotes (0.0–1.0) |
| `num_comments` | `integer` | Total comment count |
| `url` | `string` | Post URL |
| `permalink` | `string` | Reddit permalink |
| `created_utc` | `integer` | Unix timestamp |
| `flair` | `string\|null` | Post flair text |
| `is_video` | `boolean` | Whether the post is a video |
| `content_clean` | `string` | ML-ready text (no HTML) |
| `comments_tree` | `array` | Recursive comment tree |
#### Comment Tree Structure
```json
{
"id": "m6p2abc",
"author": "user123",
"body": "Great post!",
"score": 42,
"created_utc": 1707753600,
"sentiment": "positivo",
"depth": 1,
"replies": [
{
"id": "m6p3def",
"author": "user456",
"body": "Agreed!",
"score": 15,
"sentiment": "positivo",
"depth": 2,
"replies": []
}
]
}
```
### 📋 Use Cases
- **AI/ML Training Data** — Clean text with `content_clean` field, ready for NLP
- **Market Research** — Monitor discussions about brands, products, or industries
- **Sentiment Analysis** — Track community sentiment over time
- **Competitor Intelligence** — Monitor what people say about competitors
- **Content Ideas** — Find popular topics and discussions in your niche
- **Academic Research** — Collect structured data from Reddit communities
- **Community Monitoring** — Track subreddit health and engagement
### ❓ FAQ
**Q: Do I need a Reddit API key?**
A: No! This actor works without any API credentials.
**Q: What proxy should I use?**
A: Apify Proxy with residential proxies is recommended for best results.
**Q: Can I search across all of Reddit?**
A: Yes! Use the `searchQuery` field to search globally instead of specific subreddits.
**Q: How deep can the comment tree go?**
A: Up to any depth you configure with `commentsDepth`. Default is 3 levels.
**Q: Does it support Portuguese content?**
A: Yes! Sentiment analysis supports both PT-BR and English keywords.
### 💰 Pricing
This actor uses **Pay Per Event (PPE)** pricing:
| Metric | Cost |
|--------|------|
| Per post extracted | $0.005 |
| Per comment extracted | $0.001 |
### 🔗 Related Actors
- [Instagram Reels Scraper](https://apify.com/viralanalyzer/instagram-reels-scraper) — Instagram metrics
- [YouTube Fast Scraper](https://apify.com/viralanalyzer/youtube-fast-scraper) — YouTube video data
- [TikTok Video Scraper](https://apify.com/viralanalyzer/tiktok-viral-scanner) — TikTok video data
### 📝 Changelog
#### v1.5 (Current)
- ✅ Improved reliability and proxy handling
- ✅ Enhanced sentiment analysis (PT-BR + EN)
- ✅ Better comment tree extraction
#### v1.0
- Initial release
***
## Reddit Scraper
> [🇺🇸 English](#reddit-scraper) | 🇧🇷 Português
Raspe posts, árvore de comentários e sentimento de qualquer subreddit ou busca global no Reddit. Obtenha scores, upvote ratios, flair e árvore completa de comentários. Sem necessidade de API key.
### ✨ Funcionalidades
- 🔍 **Raspagem de subreddits** — posts hot, new, top, rising, controversial
- 🌐 **Busca global** — pesquise em todo o Reddit
- 🌳 **Árvore de comentários recursiva** — profundidade e limite configuráveis
- 💬 **Análise de sentimento** — suporte PT-BR + EN (positivo/neutro/negativo)
- 🧹 **content\_clean** — texto limpo pronto para ML/IA
- ⚡ **Leve** — HTTP puro + JSON, sem navegador
- ✅ **Output validado** — cada item verificado antes da entrega
- 🌐 **Apify Proxy** — suporte a proxy integrado para confiabilidade
### 📥 Entrada
| Campo | Tipo | Padrão | Descrição |
|-------|------|--------|-----------|
| `subreddits` | `string[]` | `["brasil"]` | Lista de subreddits para raspar |
| `searchQuery` | `string` | `""` | Busca global (substitui subreddits) |
| `sort` | `enum` | `"hot"` | Ordenação: hot, new, top, rising, controversial |
| `time` | `enum` | `"week"` | Filtro de tempo: hour, day, week, month, year, all |
| `maxPosts` | `integer` | `10` | Máximo de posts a coletar |
| `includeComments` | `boolean` | `true` | Buscar árvores de comentários |
| `commentsDepth` | `integer` | `3` | Profundidade máxima dos comentários |
| `commentsLimit` | `integer` | `10` | Máx comentários de nível superior por post |
#### Exemplo de Entrada
```json
{
"subreddits": ["brasil", "technology"],
"sort": "hot",
"time": "week",
"maxPosts": 5,
"includeComments": true,
"commentsDepth": 2,
"commentsLimit": 5
}
```
### 📤 Saída
Cada post produz um objeto:
| Campo | Tipo | Descrição |
|-------|------|-----------|
| `post_id` | `string` | ID do post |
| `subreddit` | `string` | Nome do subreddit |
| `title` | `string` | Título do post |
| `selftext` | `string` | Texto do corpo |
| `author` | `string` | Nome do autor |
| `score` | `integer` | Votos líquidos |
| `upvote_ratio` | `float` | Proporção de upvotes (0.0–1.0) |
| `num_comments` | `integer` | Total de comentários |
| `url` | `string` | URL do post |
| `permalink` | `string` | Permalink do Reddit |
| `created_utc` | `integer` | Timestamp Unix |
| `flair` | `string\|null` | Flair do post |
| `is_video` | `boolean` | Se o post é um vídeo |
| `content_clean` | `string` | Texto limpo para ML |
| `comments_tree` | `array` | Árvore recursiva de comentários |
### 📋 Casos de Uso
- **Dados para IA/ML** — Texto limpo com `content_clean`, pronto para NLP
- **Pesquisa de mercado** — Monitore discussões sobre marcas e produtos
- **Análise de sentimento** — Acompanhe o sentimento da comunidade ao longo do tempo
- **Inteligência competitiva** — Monitore o que falam sobre concorrentes
- **Ideias de conteúdo** — Encontre tópicos populares no seu nicho
- **Pesquisa acadêmica** — Colete dados estruturados de comunidades do Reddit
- **Monitoramento de comunidade** — Acompanhe engajamento de subreddits
### ❓ Perguntas Frequentes
**P: Preciso de API key do Reddit?**
R: Não! Este actor funciona sem nenhuma credencial de API.
**P: Qual proxy devo usar?**
R: Apify Proxy com proxies residenciais é recomendado.
**P: Posso buscar em todo o Reddit?**
R: Sim! Use o campo `searchQuery` para busca global.
**P: Até que profundidade vai a árvore de comentários?**
R: Até qualquer profundidade configurada em `commentsDepth`. Padrão é 3 níveis.
**P: Suporta conteúdo em português?**
R: Sim! A análise de sentimento suporta palavras-chave PT-BR e inglês.
### 💰 Preços
Este actor usa precificação **Pay Per Event (PPE)**:
| Métrica | Custo |
|---------|-------|
| Por post extraído | $0.005 |
| Por comentário extraído | $0.001 |
### 🔗 Actors Relacionados
- [Instagram Reels Scraper](https://apify.com/viralanalyzer/instagram-reels-scraper) — Métricas do Instagram
- [YouTube Fast Scraper](https://apify.com/viralanalyzer/youtube-fast-scraper) — Dados do YouTube
- [TikTok Video Scraper](https://apify.com/viralanalyzer/tiktok-viral-scanner) — Dados do TikTok
# Actor input Schema
## `subreddits` (type: `array`):
List of subreddits to scrape (e.g. \['brasil', 'technology', 'worldnews'])
## `searchQuery` (type: `string`):
Search term across all Reddit (alternative to subreddit). Leave empty to use subreddits list.
## `sort` (type: `string`):
How to sort posts
## `time` (type: `string`):
Time range for 'top' sort
## `maxPosts` (type: `integer`):
Maximum number of posts to extract per subreddit
## `includeComments` (type: `boolean`):
Fetch comment trees for each post (increases runtime)
## `commentsDepth` (type: `integer`):
Max depth of nested comment replies to fetch
## `commentsLimit` (type: `integer`):
Max top-level comments per post
## `proxyConfiguration` (type: `object`):
Proxy settings for bypassing Reddit's IP blocks. US residential proxies recommended. Leave empty to use automatic fallback (residential → datacenter → direct).
## Actor input object example
```json
{
"subreddits": [
"AskReddit"
],
"sort": "hot",
"time": "week",
"maxPosts": 3,
"includeComments": true,
"commentsDepth": 1,
"commentsLimit": 5,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
}
```
# Actor output Schema
## `results` (type: `string`):
Dataset containing all scraped results. Each item follows the dataset schema.
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"subreddits": [
"AskReddit"
],
"maxPosts": 3,
"includeComments": false,
"commentsDepth": 1,
"commentsLimit": 5,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("viralanalyzer/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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"subreddits": ["AskReddit"],
"maxPosts": 3,
"includeComments": False,
"commentsDepth": 1,
"commentsLimit": 5,
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
"apifyProxyCountry": "US",
},
}
# Run the Actor and wait for it to finish
run = client.actor("viralanalyzer/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 '{
"subreddits": [
"AskReddit"
],
"maxPosts": 3,
"includeComments": false,
"commentsDepth": 1,
"commentsLimit": 5,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
}' |
apify call viralanalyzer/reddit-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=viralanalyzer/reddit-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Reddit Scraper - Posts, Comments & Subreddits",
"description": "Extract Reddit posts, comments, subreddit data, and user profiles.",
"version": "1.5",
"x-build-id": "lRVOd1G7tKkCNqX5g"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/viralanalyzer~reddit-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-viralanalyzer-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/viralanalyzer~reddit-scraper/runs": {
"post": {
"operationId": "runs-sync-viralanalyzer-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/viralanalyzer~reddit-scraper/run-sync": {
"post": {
"operationId": "run-sync-viralanalyzer-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",
"properties": {
"subreddits": {
"title": "Subreddits",
"type": "array",
"description": "List of subreddits to scrape (e.g. ['brasil', 'technology', 'worldnews'])",
"items": {
"type": "string"
}
},
"searchQuery": {
"title": "Search Query",
"type": "string",
"description": "Search term across all Reddit (alternative to subreddit). Leave empty to use subreddits list."
},
"sort": {
"title": "Sort By",
"enum": [
"hot",
"new",
"top",
"rising"
],
"type": "string",
"description": "How to sort posts",
"default": "hot"
},
"time": {
"title": "Time Filter (for 'top' sort)",
"enum": [
"hour",
"day",
"week",
"month",
"year",
"all"
],
"type": "string",
"description": "Time range for 'top' sort",
"default": "week"
},
"maxPosts": {
"title": "Max Posts",
"minimum": 1,
"maximum": 100,
"type": "integer",
"description": "Maximum number of posts to extract per subreddit",
"default": 10
},
"includeComments": {
"title": "Include Comments",
"type": "boolean",
"description": "Fetch comment trees for each post (increases runtime)",
"default": true
},
"commentsDepth": {
"title": "Comments Depth",
"minimum": 1,
"maximum": 10,
"type": "integer",
"description": "Max depth of nested comment replies to fetch",
"default": 3
},
"commentsLimit": {
"title": "Comments Limit",
"minimum": 1,
"maximum": 500,
"type": "integer",
"description": "Max top-level comments per post",
"default": 10
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Proxy settings for bypassing Reddit's IP blocks. US residential proxies recommended. Leave empty to use automatic fallback (residential → datacenter → direct).",
"default": {
"useApifyProxy": true
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```