Scrape Stock Prices & Mutual Fund Data | Actowiz Solutions

 

Introduction

In today's data-driven investing landscape, individuals and institutions rely on accurate and timely financial information to make informed decisions. Platforms like Yahoo Finance and Groww provide real-time data on stock prices, mutual fund NAVs, and portfolio performance—but for analysts, fintech startups, and investment platforms, manual access isn’t scalable.

Whether you're tracking market volatility, building algorithmic trading models, or benchmarking fund performance, the ability to scrape financial data reliably and in real time is critical.

This is where Actowiz Solutions steps in—offering powerful and compliant financial data scraping capabilities that enable mutual fund return tracking, investment portfolio scraping, and real-time stock price extraction from platforms like Yahoo Finance and Groww.

Why Scrape Financial Data?

While APIs exist, they often come with:

  • Limited request quotas

  • High licensing costs

  • Incomplete asset coverage

  • Lack of support for mutual fund data in India

Scraping data directly from trusted sources like Yahoo Finance and Groww enables:

  • Real-time price alerts for stocks and mutual funds

  • NAV and return tracking for financial products

  • Market sentiment analysis

  • Competitor fund benchmarking

  • Portfolio performance aggregation

Platforms Scraped by Actowiz

Yahoo Finance (Global)

  • Stock price data across NYSE, NASDAQ, NSE, BSE

  • Historical charts, P/E ratios, market cap

  • Company news, dividend history, and earnings

  • Mutual fund and ETF tracking for U.S., UK, India, and more

Groww (India)

  • Mutual fund NAVs (direct and regular plans)

  • Risk ratios (Sharpe, alpha, beta)

  • 1Y, 3Y, 5Y, and SIP returns

  • Stock market updates and portfolio view for Indian retail investors

Actowiz Financial Data Scraping Services

Actowiz builds scalable, automated scrapers for structured financial data collection:

  • Stock Prices
     Real-time & historical pricing by ticker

  • Mutual Fund NAVs
     Daily NAVs from AMCs & distributors

  • Return Rates
     1D, 1M, 1Y, 3Y, 5Y, and YTD return calculations

  • Risk Metrics
     Volatility, Sharpe ratio, beta values

  • Sector Exposure
     Holdings breakdown for mutual fund portfolios

  • Benchmark Indexes
     Comparison to major indexes like Nifty, Sensex, S&P500

  • Portfolio Snapshots
     Aggregated return tracking and performance summaries


Use Cases Powered by Actowiz

1️. Fintech Dashboards & Robo-Advisors

Companies building retail investor platforms use scraped Groww and Yahoo Finance data to:

  • Display live returns across funds and stocks

  • Compare fund performance to Nifty/Sensex

  • Alert users to top gainers/losers in their portfolio

  • Suggest fund switches based on performance

Example: “HDFC Flexi Cap fund underperformed Nifty 50 by 3% this quarter.”

2️. Quantitative Investment Firms

Quant firms and hedge funds use Yahoo Finance scraping to:

  • Ingest live price feeds for stock modeling

  • Track volume spikes, RSI changes, or volatility indicators

  • Combine stock movement data with sentiment or news triggers

Example: Combine stock drops with high trading volume to identify short targets.

3️. Mutual Fund Rating Platforms

Data aggregators building rating engines scrape:

  • Fund return history

  • Rolling return consistency

  • Risk-adjusted ratios

  • Expense ratios and exit loads

These platforms rank funds, provide recommendations, and export the data for API clients.

4️. Market Research & Journalism

Finance writers, bloggers, and analysts use scraped financial data to support:

  • Monthly fund comparison reports

  • SIP performance breakdowns

  • Sector allocation visualizations

  • Global index movement tracking

Sample Data Output (Yahoo Finance + Groww)

HDFC Flexi Cap (INF179K01DT3)

  • Type: Mutual Fund

  • NAV: ₹86.72

  • 1-Year Return: 15.43%

  • Sharpe Ratio: 0.87

  • Expense Ratio: 1.06%

  • Platform: Groww

TCS (TCS.NS)

  • Type: Stock

  • Price: ₹3,728

  • 1-Year Return: 9.1%

  • Sharpe Ratio: 0.61

  • Expense Ratio: NA

  • Platform: Yahoo Finance

SBI Bluechip (INDO5EQ)

  • Type: Mutual Fund

  • NAV: ₹71.93

  • 1-Year Return: 17.58%

  • Sharpe Ratio: 0.93

  • Expense Ratio: 0.94%

  • Platform: Groww

Sample Mutual Fund Return Tracker View

Axis Growth Opportunities

  • NAV (Today): ₹37.22

  • 1-Month Return: +2.1%

  • 3-Month Return: +6.4%

  • 1-Year Return: +13.5%

  • 3-Year Return: +19.2%

  • 5-Year Return: +18.7%

  • SIP CAGR: 16.3%

  • Parag Parikh Flexi Cap

    • NAV (Today): ₹72.88

    • 1-Month Return: +1.8%

    • 3-Month Return: +5.9%

    • 1-Year Return: +18.1%

    • 3-Year Return: +24.0%

    • 5-Year Return: +22.5%

    • SIP CAGR: 20.1%


Scraping Architecture by Actowiz

1. Input Feed

  • Ticker list, fund house name, or AMC ID

  • Category filter: equity, debt, hybrid, small-cap, etc.

2. Scraping Logic

  • DOM-based parsing + browser automation for JavaScript-heavy pages

  • Proxy rotation for global and region-specific views (IN, US, UK)

  • IP throttling & captcha handling

3. Data Pipeline

  • Clean JSON/CSV via REST API

  • Google Sheets / Excel sync

  • MongoDB / PostgreSQL storage

  • Dashboard delivery (Power BI, Looker, Tableau)

4. Refresh Frequency

  • 15-min for stock tickers

  • Daily after 9 PM IST for mutual funds

  • Weekly snapshot archive

Real-Time Alerts & Custom Filters

Actowiz supports:

  • Price drop alerts by % or INR

  • Return filters (e.g., “Top funds >15% 3Y CAGR”)

  • Volatility spikes detection

  • SIP outperformers flag

  • Daily delivery via Slack, Email, FTP, or webhook

Compliance & Ethical Standards

Actowiz adheres to:

  • Public data scraping only (no account login-based access)

  • No interference with platform operations

  • Fully rate-limited and IP-distributed crawlers

  • Data delivered for research, analysis, and user-side modeling only

  • Custom legal guidance per client’s jurisdiction

Data from Yahoo Finance and Groww is extracted in compliance with fair use practices for market research and financial benchmarking.

Who Uses Actowiz’s Financial Data Solutions?

Fintech Platforms
 Use real-time data to power portfolio trackers and mutual fund investment apps.

Investment Advisors
 Track NAVs, compare funds, and monitor pricing to guide client decisions.

Quantitative Traders
 Use return rates, Sharpe ratios, and volatility as inputs for algorithmic trading models.

Financial Publishers
 Generate daily reports, SIP return comparisons, and top fund lists.

Tax & Wealth Management Tools
 Aggregate investment data to simplify income tax filings and wealth tracking.

EdTech Platforms
 Integrate financial data into courses and tools that teach investing, portfolio building, and risk analysis.

Advanced Analytics Add-ons

Actowiz offers:

  • Price charts & performance visualizations

  • Back-testing modules using scraped fund/stock data

  • AMC-wise leaderboard tools

  • ML models for return forecasting

Future Features in Development

  • Real-time ETF tracking across platforms

  • SIP suggestion engine based on past performance

  • Fund vs Index vs ETF comparative analytics

  • WhatsApp / Telegram-based return alerts

  • AI-based “Fund Health Score”

Conclusion

In an age where milliseconds matter, financial intelligence demands real-time data—whether it’s stock prices, mutual fund NAVs, or return analytics.

Actowiz Solutions enables fintechs, traders, advisors, and researchers to scrape stock and fund data from platforms like Yahoo Finance and Groww, power their dashboards, drive smarter recommendations, and automate investment portfolio scraping.

Don’t just rely on slow APIs or incomplete feeds—scrape smarter with Actowiz.

Learn More >> 

Originally published at:- https://www.actowizsolutions.com

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