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from $0.70 / 1,000 item scrapeds

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Crypto Fear & Greed Sentiment Index Scraper

Try for free

Extract real-time and historical Crypto Fear & Greed sentiment index scores, market sentiment classifications, and volatility timestamps for quantitative trading.

Pricing

from $0.70 / 1,000 item scrapeds

Rating

0.0

(0)

Developer

LiteZero

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Total users

Monthly active users

6 days ago

Last modified

📉 Crypto Fear & Greed Sentiment Index Scraper

Extract real-time and historical Crypto Fear & Greed Index data, market sentiment classifications, volatility metrics, and time-series scores from Alternative.me in bulk.

Engineered for algorithmic crypto trading bots, quantitative crypto funds, DeFi automated market makers (AMMs), and automated market commentary channels.

🥊 Why This Actor Beats the Competition

Feature	📉 This Actor (`litezero`)	🐢 Web Scraping HTML Portals	🔒 Paid Sentiment APIs
Speed	⚡ < 0.5 seconds / run	🐌 10–20 seconds with DOM scraping	⏳ High latency gateways
Pricing	💰 $1.00 / 1,000 records (Free Platform Usage)	💸 Heavy compute bill ($5–$15/run)	💳 $49–$199 / month
Historical Data	📦 Up to 365 days of daily sentiment points	⚠️ Only current day visible on web	🔒 Paywalled behind enterprise tiers
Reliability	🛡️ Direct API feed, zero IP blocks	🚫 Cloudflare & bot challenges	🔑 Strict API rate limits
Setup Friction	🚀 Zero API keys required	🛠️ Headless Chrome maintenance	📝 Complex authentication tokens

🛠️ Step-by-Step: How to Use

Method 1: Apify Web Console (No-Code)

Select how many historical days of sentiment data you need (e.g. 30 days, 90 days, 365 days).
Click Start and export results to JSON, CSV, or Excel.

Method 2: Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
    "limit": 30
}

run = client.actor("litezero/crypto-fear-and-greed-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['date_iso'][:10]}: [{item['value']}/100] - {item['value_classification']}")

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/crypto-fear-and-greed-scraper').call({
    limit: 14
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Retrieved ${items.length} daily sentiment records.`);

Method 4: REST API / cURL

curl "https://api.apify.com/v2/acts/litezero~crypto-fear-and-greed-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"limit": 7}'

📥 Input Parameters

Parameter	Type	Required	Default	Description
`limit`	`integer`	No	`30`	Number of daily sentiment records to retrieve (1–365).

📤 Output Data Dictionary & Sample JSON

{
  "value": 68,
  "value_classification": "Greed",
  "sentiment_description": "Greedy sentiment / bullish momentum",
  "timestamp": 1791072000,
  "date_iso": "2026-10-04T00:00:00.000Z",
  "time_until_update_seconds": 62944,
  "scraped_at": "2026-10-04T06:30:00.000Z"
}

💡 Top Commercial Use Cases

Algorithmic Trading & Rebalancing: Adjust leverage, position sizes, and DCA (dollar-cost averaging) buy frequency based on Extreme Fear (<25) vs Extreme Greed (>75).
Discord & Telegram Bot Alerts: Broadcast automated daily sentiment updates, market warnings, and volatility summaries to Web3 communities.
Quantitative Backtesting: Correlate Bitcoin and Ethereum spot prices against historical Fear & Greed sentiment swings across 365 days.

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