# Crypto Fear Greed Index Scraper (`zerobreak/crypto-fear-greed-index-scraper`) Actor

Crypto Fear and Greed Index Scraper is a Python tool designed to extract real-time market sentiment scores, historical sentiment trends, sentiment classifications (e.g., Extreme Fear, Greed), and update timestamps. It exports clean sentiment datasets into structured CSV or JSON formats.

- **URL**: https://apify.com/zerobreak/crypto-fear-greed-index-scraper.md
- **Developed by:** [ZeroBreak](https://apify.com/zerobreak) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Fear & Greed Index Scraper — Historical Sentiment Scores and Market Trends

![Crypto Fear & Greed Index Scraper cover](https://images.bigibyte.com/cdn-cgi/image/width=1260,height=540,fit=cover,format=webp/apify-actors-covers/crypto-fear-greed-index-scraper-cover.png)

### Overview

Collect historical Crypto Fear & Greed Index data for cryptocurrency market sentiment analysis. Choose how many days of historical data to collect, set a maximum number of records, and export structured results in JSON, CSV, Excel, or other supported dataset formats.

Each record contains the sentiment score, classification, timestamp, and time remaining until the next update when available.

### Features

- **Historical data collection:** Retrieve recent index observations or all available history.
- **Configurable history:** Select the number of days to collect.
- **Record limits:** Control the maximum number of saved items.
- **Sentiment classifications:** Capture labels such as Extreme Fear, Fear, Neutral, Greed, and Extreme Greed when returned.
- **Duplicate prevention:** Deduplicate records using their timestamps.
- **Structured exports:** Prepare data for spreadsheets, dashboards, and further analysis.
- **Scheduled collection:** Refresh sentiment records periodically using Apify scheduling.

### Use Cases

- **Market sentiment dashboards:** Track daily sentiment scores and visualize changes over time.
- **Trading research:** Compare historical sentiment classifications with personal trading indicators.
- **Sentiment alerts:** Monitor when the index enters Extreme Fear or Extreme Greed.
- **Historical archives:** Build datasets for long-term market research.
- **Quantitative analysis:** Calculate sentiment averages, identify trends, and compare market conditions.

### Input Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `mode` | String | `history` | Selects historical index collection. |
| `days` | Integer | `30` | Number of historical days to request. Use `0` for all available history. |
| `maxItems` | Integer | `100` | Maximum number of records to save, up to 1000. |
| `requestDelaySecs` | Number | `1` | Configured delay in seconds between requests, where applicable. |

### Example Input

```json
{
  "mode": "history",
  "days": 30,
  "maxItems": 50,
  "requestDelaySecs": 1
}
```

This configuration requests 30 days of historical data and saves up to 50 records.

### What Data Does This Actor Extract?

The actor collects daily Crypto Fear & Greed Index observations, including the numerical score and its corresponding sentiment classification.

### Extracted Data Fields

| Field | Description |
|---|---|
| `value` | Numerical Fear & Greed Index score, generally on a scale from 0 to 100. |
| `value_classification` | Text classification describing market sentiment. |
| `timestamp` | Timestamp associated with the index observation. |
| `time_until_update` | Time remaining until the next update, when provided. |
| `scraped_at` | Date and time when the record was collected. |

### Example Output

```json
{
  "value": "69",
  "value_classification": "Greed",
  "timestamp": "1791763200",
  "time_until_update": "66942",
  "scraped_at": "2026-10-26T00:00:00+00:00"
}
```

The example illustrates the record structure. Actual scores, classifications, timestamps, and optional fields vary depending on the collected data.

### Working with Your Dataset

Once collection is complete, open the dataset in Apify to inspect the records or export them in your preferred format.

- **JSON:** Use structured records in data-processing scripts and applications.
- **CSV:** Analyze historical sentiment in spreadsheet software.
- **Excel:** Create charts, summaries, and reports.
- **Other supported formats:** Choose from the available dataset export options.

### Important Notes

- Set `days` to `0` to request all available historical observations.
- Use `maxItems` to control the maximum number of records saved per run.
- The number of records collected depends on the available history and configured limits.
- The `time_until_update` field may be absent from historical observations.
- Sentiment scores describe market sentiment and do not guarantee future cryptocurrency price movements.

### FAQ

**Who is this actor for?**

This actor is suitable for cryptocurrency researchers, traders, analysts, and developers who need historical market sentiment data.

**What export formats are available?**

You can export the dataset as JSON, CSV, Excel, and other formats supported by Apify.

**Can I collect all available historical records?**

Yes. Set `days` to `0` to request all available history. Adjust `maxItems` to control the number of records saved.

**Can I schedule recurring collections?**

Yes. Configure an Apify schedule to run the actor at your preferred interval.

**Why might some records not contain `time_until_update`?**

The update countdown is generally provided for the latest observation and may not be included in older historical records.

### Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, sponsored by, or officially associated with Alternative.me. The collected data is provided for informational and research purposes only. Cryptocurrency markets involve risk, and sentiment indicators should not be treated as financial advice or guarantees of investment performance.

### Is Web Scraping Legal?

Collecting information that is already public is generally legal. Scraping is not the same thing as hacking, and there is no single law that bans it. The limits are the usual ones: do not break into accounts, do not take private or confidential data, and be careful with personal data and copyrighted works. A site's terms can also restrict how you access it. Facts such as a public name, price, or rating are not the same thing as republishing someone's article or photo.

This actor collects information from public pages. It does not log in and it does not bypass access controls.

For a longer explanation, see Apify's article [Is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/).

# Actor input Schema

## `mode` (type: `string`):

What to scrape. Index history loads Alternative.me Fear and Greed values.

## `days` (type: `integer`):

Days of history to request (0 = all available).

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

Stop after this many successful rows. Hard max is 1000.

## `requestDelaySecs` (type: `number`):

Seconds to wait between requests.

## `userAgent` (type: `string`):

User-Agent header sent with each request.

## `timeoutSecs` (type: `integer`):

Overall run budget in seconds.

## `requestTimeoutSecs` (type: `integer`):

Per-request timeout in seconds.

## `proxyConfiguration` (type: `object`):

Optional proxy. Leave off unless you need it.

## Actor input object example

```json
{
  "mode": "history",
  "days": 30,
  "maxItems": 100,
  "requestDelaySecs": 1,
  "userAgent": "ActorResearch/1.0",
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

Dataset rows in the overview table.

## `dataset` (type: `string`):

Full dataset for this run.

## `items` (type: `string`):

Dataset items as JSON.

# 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("zerobreak/crypto-fear-greed-index-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("zerobreak/crypto-fear-greed-index-scraper").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 zerobreak/crypto-fear-greed-index-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,zerobreak/crypto-fear-greed-index-scraper"
        }
    }
}
```

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/yyKVdd2vpbcyLDidr/builds/2x5eMMF1uuytWKEDy/openapi.json