# Crypto Social Sentiment Aggregator (`gochujang/social-sentiment-aggregator`) Actor

Aggregates crypto/stock social sentiment from Reddit, Alternative.me Fear & Greed, and LunarCrush. Keyword-based scoring, momentum tracking, and activity tiers. No API key required.

- **URL**: https://apify.com/gochujang/social-sentiment-aggregator.md
- **Developed by:** [Hojun Lee](https://apify.com/gochujang) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 symbol analyzeds

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/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

## Crypto Social Sentiment Aggregator

**Crypto Social Sentiment Aggregator** aggregates **Reddit mentions, keyword sentiment scores, Fear & Greed index, and optional LunarCrush metrics** for any crypto or stock symbol — no API key required, no proxy needed. Get a normalized -100 to +100 sentiment score, mention count, sentiment momentum, and Fear & Greed regime in a single run.

Social sentiment is one of the few leading indicators in crypto: retail activity on Reddit often precedes price moves by 12–48 hours in both directions. This actor automates that scan across multiple subreddits and symbols simultaneously.

***

### Why use Crypto Social Sentiment Aggregator?

1. **Sentiment as a leading signal** — Reddit post volume and sentiment precede price moves in crypto. A surge in bullish mentions for a mid-cap altcoin often precedes a pump within 24–48 hours.
2. **Fear & Greed regime context** — Extreme Fear readings (below 20) have historically been the best time to buy; Extreme Greed (above 80) precedes corrections. The 7-day moving average shows whether the market is in a recovery or deterioration trend.
3. **Multi-symbol monitoring** — Track BTC, ETH, SOL, and key altcoins simultaneously. Compare sentiment momentum to identify which assets are gaining or losing community momentum.
4. **Contrarian signal detection** — Extreme positive sentiment (very_bullish) on a coin that's already up 50% is often a sell signal. Extreme negative sentiment after a crash can be a buy signal. Use `sentiment_label` for regime classification.
5. **Portfolio alerts** — Detect when sentiment for a held coin shifts from bullish to bearish before the price confirms the reversal.

***

### How to use

1. Open the actor on Apify Store and click **Try for free**.
2. Set `symbols` to your list of tickers (e.g. `["BTC", "ETH", "SOL"]`).
3. Optionally customize `redditSubreddits` for more targeted community sampling.
4. Enable `includeLunarCrush` for additional social volume data (may occasionally be unavailable).
5. Click **Start**. Returns one sentiment record per symbol.

***

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `symbols` | string\[] | `["BTC","ETH","SOL","DOGE"]` | Symbols to analyze |
| `redditLimit` | integer | `25` | Posts per subreddit per symbol (5–100) |
| `includeLunarCrush` | boolean | `true` | Fetch LunarCrush Galaxy Score and social volume |
| `redditSubreddits` | string\[] | `["CryptoCurrency","CryptoMarkets","Bitcoin","ethfinance"]` | Subreddits to search |
| `maxAgeDays` | integer | `1` | Only count posts from last N days |

***

### Output

```json
{
  "symbol": "ETH",
  "mention_count_24h": 847,
  "sentiment_score": 42,
  "sentiment_label": "bullish",
  "top_positive_posts": ["ETH hitting key support, expecting bounce", "..."],
  "top_negative_posts": ["ETH underperforming BTC again", "..."],
  "fear_greed_value": 61,
  "fear_greed_label": "Greed",
  "fear_greed_7d_avg": 55,
  "reddit_activity_tier": "viral",
  "sentiment_momentum": "improving",
  "lunarcrush_galaxy_score": 72,
  "lunarcrush_alt_rank": 3,
  "lunarcrush_social_volume_24h": 124500,
  "scanned_at": "2026-08-29T14:00:00Z"
}
```

#### Output fields

| Field | Type | Description |
|-------|------|-------------|
| `mention_count_24h` | integer | Reddit posts mentioning the symbol in the last 24h |
| `sentiment_score` | integer | -100 (extreme bear) to +100 (extreme bull) |
| `sentiment_label` | string | `very_bullish`, `bullish`, `neutral`, `bearish`, `very_bearish` |
| `fear_greed_value` | integer | Alternative.me Fear & Greed index (0–100) |
| `fear_greed_label` | string | `Extreme Fear`, `Fear`, `Neutral`, `Greed`, `Extreme Greed` |
| `fear_greed_7d_avg` | float | 7-day average Fear & Greed value (momentum signal) |
| `reddit_activity_tier` | string | `viral` (≥200 mentions) / `high` (≥50) / `medium` (≥15) / `low` |
| `sentiment_momentum` | string | `improving`, `stable`, or `deteriorating` vs. 7-day average |

***

### Sentiment scoring

Sentiment is computed via keyword matching — fast, predictable, no API cost.

**Positive keywords**: moon, bullish, pump, ath, breakout, buy, green, gains, rally, bullrun, mooning, surge, soar, boom, opportunity

**Negative keywords**: crash, dump, bearish, sell, rekt, rug, scam, dead, bear, fear, plunge, collapse, bubble, fraud, down

Each post title is tokenized; +1 per positive word, -1 per negative word, normalized to -100..+100 across all posts for the symbol.

***

### Cost estimation

**Pay-Per-Event: $0.001 per actor start + $0.01 per symbol analyzed.**

| Use case | Symbols | Estimated cost |
|----------|---------|----------------|
| 4 default symbols | 4 | ~$0.041/run |
| Top 10 altcoins | 10 | ~$0.101/run |
| Hourly portfolio check (5 symbols) | 5 | ~$0.051/hour = ~$1.22/day |
| Daily sentiment sweep | 20 | ~$0.20/day |

***

### FAQ

**Is the sentiment score based on machine learning?**
No — it uses keyword matching for speed and predictability. The list of positive/negative keywords is fixed. This makes results deterministic and fast (no LLM call cost), but it won't catch sarcasm or complex sentiment.

**What's LunarCrush and when is it unavailable?**
LunarCrush is a social intelligence platform with a public API tier. The actor gracefully skips it when the public tier is rate-limited or unavailable — all Reddit and Fear & Greed fields are still returned.

**Fear & Greed is listed once — does it apply to all symbols?**
Yes — Fear & Greed is a market-wide crypto index from Alternative.me, not per-symbol. All symbols in a run share the same `fear_greed_value` and `fear_greed_7d_avg`.

**Can I use this for stock tickers like AAPL or TSLA?**
Yes — set `redditSubreddits` to `["wallstreetbets", "stocks", "investing"]` and pass stock tickers. The sentiment scoring works the same way for equities.

***

### Related actors

- [Crypto News Sentiment Analyzer](https://apify.com/gochujang/crypto-news-sentiment) — NLP-based news sentiment from CoinDesk/CoinTelegraph/The Block (complements Reddit sentiment)
- [Crypto Whale Flow Monitor](https://apify.com/gochujang/crypto-whale-flow-monitor) — On-chain whale signals (contrast with social sentiment for divergence detection)
- [Hyperliquid Whale Tracker](https://apify.com/gochujang/hyperliquid-whale-tracker) — Whale perpetuals positions on Hyperliquid

### Feedback

If this actor is useful, a quick review helps other sentiment traders find it: [Leave a review on Apify Store](https://apify.com/gochujang/social-sentiment-aggregator#reviews)

***

**Keywords:** crypto social sentiment, Reddit sentiment analysis, Fear and Greed Index, LunarCrush data scraper, social hype score, crypto FOMO signal, sentiment momentum tracker, social to price lead, bot activity detection, Reddit mention count, influencer signal crypto, sentiment aggregator, stock social sentiment, crypto sentiment monitor

# Actor input Schema

## `symbols` (type: `array`):

List of ticker symbols to analyze (e.g. BTC, ETH, SOL, DOGE).

## `redditLimit` (type: `integer`):

Number of recent Reddit posts to fetch per symbol (max 100).

## `includeLunarCrush` (type: `boolean`):

Fetch additional social metrics from LunarCrush public API.

## `redditSubreddits` (type: `array`):

Subreddits to search for sentiment data.

## `maxAgeDays` (type: `integer`):

Only include Reddit posts from the last N days for 24h mention counting.

## Actor input object example

```json
{
  "symbols": [
    "BTC",
    "ETH",
    "SOL",
    "DOGE"
  ],
  "redditLimit": 25,
  "includeLunarCrush": true,
  "redditSubreddits": [
    "CryptoCurrency",
    "CryptoMarkets",
    "Bitcoin",
    "ethfinance"
  ],
  "maxAgeDays": 1
}
```

# Actor output Schema

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

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("gochujang/social-sentiment-aggregator").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("gochujang/social-sentiment-aggregator").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 '{}' |
apify call gochujang/social-sentiment-aggregator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gochujang/social-sentiment-aggregator"
        }
    }
}
```

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/OT9PDtUruKVR8rizq/builds/WKVVU9MjgP3fa4bqO/openapi.json