Build Web Scraper to Extract Business Owner Leads from NY Court Filings
Budget: $30 – $250 USD
Build Web Scraper to Extract Business Owner Leads from NY Court Filings
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Project Description
I need a web scraper built to collect business owner lead information from the New York court filing system.
Website:
https://iapps.courts.state.ny.us/nyscef/CaseSearch
The scraper should search for specific merchant cash advance lenders such as:
BizFund
Kalamata Capital Group
Vox Funding
RDM Capital Funding
LCF Group
The scraper should identify lawsuits filed by these lenders and extract the defendant business and owner information from the complaint documents.
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Data Needed
The final output should include:
Company Name
Owner First Name
Owner Last Name
Mailing Address
Business Address (if different)
This information will be used for skip tracing to obtain phone numbers.
⸻
How the Scraper Should Work
1. Search the court system for the lender names listed above.
2. Extract the defendant business name from the case caption.
3. Open the complaint or summons documents for the case.
4. Extract the owner / guarantor name and address listed in the complaint.
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Output
Export the results as a CSV or Excel file containing the fields listed above.
⸻
Preferred technologies:
Python + Playwright
Python + Selenium
The script should allow additional lender names to be added later.
⸻
Project Description
I need a web scraper built to collect business owner lead information from the New York court filing system.
Website:
https://iapps.courts.state.ny.us/nyscef/CaseSearch
The scraper should search for specific merchant cash advance lenders such as:
BizFund
Kalamata Capital Group
Vox Funding
RDM Capital Funding
LCF Group
The scraper should identify lawsuits filed by these lenders and extract the defendant business and owner information from the complaint documents.
⸻
Data Needed
The final output should include:
Company Name
Owner First Name
Owner Last Name
Mailing Address
Business Address (if different)
This information will be used for skip tracing to obtain phone numbers.
⸻
How the Scraper Should Work
1. Search the court system for the lender names listed above.
2. Extract the defendant business name from the case caption.
3. Open the complaint or summons documents for the case.
4. Extract the owner / guarantor name and address listed in the complaint.
⸻
Output
Export the results as a CSV or Excel file containing the fields listed above.
⸻
Preferred technologies:
Python + Playwright
Python + Selenium
The script should allow additional lender names to be added later.
Related categories:
PHP
Python
Data Processing
Excel
Web Scraping
Data Mining
Web Development
Data Extraction
Selenium
Automation