Morningstar Scraper Use Cases
Investment Strategy Development
Enhance portfolio performance by extracting key financial metrics from Morningstar to inform investment decisions.
Market Trend Analysis
Gain insights into industry movements by aggregating and analyzing historical market data from Morningstar sources.
Competitor Benchmarking
Assess competitor performance by extracting financial ratios and comparing them across sectors using Morningstar data.
Risk Assessment
Improve risk management strategies by collecting and evaluating credit ratings and asset performance information from Morningstar.
Highly rated by the world's leading review platforms
Sample Dataset
Sample Data
Download
[
{"Fund_ID":"MS101","Fund_Name":"Vanguard 500 Index Fund","Fund_Type":"Mutual Fund","Category":"Equity Large Cap","NAV_USD":380.25,"Expense_Ratio":"0.04%","Rating":5,"Risk_Level":"Medium","AUM_USD_Million":50000,"Inception_Date":"2000-05-15"},
{"Fund_ID":"MS102","Fund_Name":"Fidelity Growth Company Fund","Fund_Type":"Mutual Fund","Category":"Equity Growth","NAV_USD":150.50,"Expense_Ratio":"0.85%","Rating":4,"Risk_Level":"High","AUM_USD_Million":12000,"Inception_Date":"1995-08-01"},
{"Fund_ID":"MS103","Fund_Name":"T. Rowe Price Blue Chip Fund","Fund_Type":"Mutual Fund","Category":"Equity Large Cap","NAV_USD":95.30,"Expense_Ratio":"0.70%","Rating":5,"Risk_Level":"Medium","AUM_USD_Million":8000,"Inception_Date":"1998-03-12"},
{"Fund_ID":"MS104","Fund_Name":"Vanguard Total Bond Market","Fund_Type":"Mutual Fund","Category":"Bond","NAV_USD":110.50,"Expense_Ratio":"0.05%","Rating":4,"Risk_Level":"Low","AUM_USD_Million":40000,"Inception_Date":"2001-07-10"},
{"Fund_ID":"MS105","Fund_Name":"BlackRock Global Allocation","Fund_Type":"Mutual Fund","Category":"Hybrid","NAV_USD":75.60,"Expense_Ratio":"0.65%","Rating":4,"Risk_Level":"Medium","AUM_USD_Million":15000,"Inception_Date":"2005-09-20"},
{"Fund_ID":"MS106","Fund_Name":"Franklin India Smaller Cos","Fund_Type":"Mutual Fund","Category":"Equity Mid Cap","NAV_USD":45.80,"Expense_Ratio":"1.10%","Rating":3,"Risk_Level":"High","AUM_USD_Million":500,"Inception_Date":"2010-06-25"},
{"Fund_ID":"MS107","Fund_Name":"HDFC Balanced Advantage Fund","Fund_Type":"Mutual Fund","Category":"Hybrid","NAV_USD":60.75,"Expense_Ratio":"0.90%","Rating":4,"Risk_Level":"Medium","AUM_USD_Million":2000,"Inception_Date":"2012-11-15"},
{"Fund_ID":"MS108","Fund_Name":"ICICI Prudential Bluechip","Fund_Type":"Mutual Fund","Category":"Equity Large Cap","NAV_USD":85.90,"Expense_Ratio":"0.75%","Rating":4,"Risk_Level":"Medium","AUM_USD_Million":3500,"Inception_Date":"2008-02-20"},
{"Fund_ID":"MS109","Fund_Name":"SBI Magnum Midcap Fund","Fund_Type":"Mutual Fund","Category":"Equity Mid Cap","NAV_USD":50.25,"Expense_Ratio":"1.20%","Rating":3,"Risk_Level":"High","AUM_USD_Million":1500,"Inception_Date":"2011-10-05"},
{"Fund_ID":"MS110","Fund_Name":"Kotak Standard Multicap Fund","Fund_Type":"Mutual Fund","Category":"Hybrid","NAV_USD":40.50,"Expense_Ratio":"1.00%","Rating":4,"Risk_Level":"Medium","AUM_USD_Million":1200,"Inception_Date":"2014-04-18"}
]
| Fund_ID | Fund_Name | Fund_Type | Category | NAV_USD | Expense_Ratio | Rating | Risk_Level | AUM_USD_Million | Inception_Date |
|---|---|---|---|---|---|---|---|---|---|
| MS101 | Vanguard 500 Index Fund | Mutual Fund | Equity Large Cap | 380.25 | 0.04% | 5 | Medium | 50000 | 2000-05-15 |
| MS102 | Fidelity Growth Company Fund | Mutual Fund | Equity Growth | 150.5 | 0.85% | 4 | High | 12000 | 1995-08-01 |
| MS103 | T. Rowe Price Blue Chip Fund | Mutual Fund | Equity Large Cap | 95.3 | 0.70% | 5 | Medium | 8000 | 1998-03-12 |
| MS104 | Vanguard Total Bond Market | Mutual Fund | Bond | 110.5 | 0.05% | 4 | Low | 40000 | 2001-07-10 |
| MS105 | BlackRock Global Allocation | Mutual Fund | Hybrid | 75.6 | 0.65% | 4 | Medium | 15000 | 2005-09-20 |
| MS106 | Franklin India Smaller Cos | Mutual Fund | Equity Mid Cap | 45.8 | 1.10% | 3 | High | 500 | 2010-06-25 |
| MS107 | HDFC Balanced Advantage Fund | Mutual Fund | Hybrid | 60.75 | 0.90% | 4 | Medium | 2000 | 2012-11-15 |
| MS108 | ICICI Prudential Bluechip | Mutual Fund | Equity Large Cap | 85.9 | 0.75% | 4 | Medium | 3500 | 2008-02-20 |
| MS109 | SBI Magnum Midcap Fund | Mutual Fund | Equity Mid Cap | 50.25 | 1.20% | 3 | High | 1500 | 2011-10-05 |
| MS110 | Kotak Standard Multicap Fund | Mutual Fund | Hybrid | 40.5 | 1.00% | 4 | Medium | 1200 | 2014-04-18 |
Access web data at scale to make or break your business
Get high-priority web data for your business, when you want it.
Customized Scrapers tailored to your unique requirements
Zero Coding
Rely on the automated process, eliminating the coding on your part.
Seamless Integration
Automated data crawls and delivery integrations for a smooth and seamless integration experience.
Top Quality Assurance
Continuous monitoring of data quality by a robust QA infrastructure to ensure accuracy and reliability.
Easy Large Scale
Access vast amounts of data from multiple sources in an organized and readable structure; XLs, CSV, JSON.
Defying Constraints
Websites often use anti-bot measures, but we navigate through them to provide you with top-quality data.
Streamlined Collaboration
Our platform enhances teamwork for both on-site and remote teams, fostering seamless communication on progress and data initiatives.
Put an end to your web scraping woes
With more than 12 years of dedicated service to enterprises’ data sourcing needs, we have the proficiency to adeptly collect and deliver top-tier web data.
Empower your business with data-driven decisions. Whether you’re a startup or a large international enterprise, our services can assist you in:
- Scaling your capacity to meet growing demands
- Automating labor-intensive workflows
- Optimizing your current data collection systems for improved ROI
Let's talk solutions
Most inquired questions
What types of data can Grepsr extract from Morningstar?
Grepsr can extract a range of data from Morningstar, including investment fund details, stock performance metrics, financial ratios, and analyst ratings.
How frequently can data be extracted from Morningstar using Grepsr?
Data can be extracted on a schedule that meets your business needs, ranging from real-time updates to daily or weekly intervals.
How does Grepsr ensure the accuracy of the data extracted from Morningstar?
Grepsr employs automated quality checks and validation processes to ensure the data extracted from Morningstar is accurate and reliable.
Can Grepsr integrate Morningstar data with existing business systems?
Yes, Grepsr can seamlessly integrate extracted data into your existing business systems, such as CRMs, databases, or BI tools, via APIs or direct uploads.
What are the typical use cases for leveraging Morningstar data through Grepsr?
Common use cases include financial market analysis, investment portfolio management, competitor benchmarking, and data-driven decision making in finance.
