Crypto Fear Greed Index Scraper avatar

Crypto Fear Greed Index Scraper

Pricing

from $2.99 / 1,000 results

Go to Apify Store
Crypto Fear Greed Index Scraper

Crypto Fear Greed Index Scraper

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.

Pricing

from $2.99 / 1,000 results

Rating

0.0

(0)

Developer

ZeroBreak

ZeroBreak

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

Categories

Share

Crypto Fear & Greed Index Scraper cover

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

ParameterTypeDefaultDescription
modeStringhistorySelects historical index collection.
daysInteger30Number of historical days to request. Use 0 for all available history.
maxItemsInteger100Maximum number of records to save, up to 1000.
requestDelaySecsNumber1Configured delay in seconds between requests, where applicable.

Example Input

{
"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

FieldDescription
valueNumerical Fear & Greed Index score, generally on a scale from 0 to 100.
value_classificationText classification describing market sentiment.
timestampTimestamp associated with the index observation.
time_until_updateTime remaining until the next update, when provided.
scraped_atDate and time when the record was collected.

Example Output

{
"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.

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?.