Comprehensive Bank Contact List for Special Asset Departments
Budget: $250 – $750 USD
? Job Title:
Web Scraper Needed to Build Full Contact List for All U.S. Banks (Special Assets / Workout Departments)
? Job Description:
I'm looking for a highly skilled and detail-oriented web scraper/data miner to build a comprehensive contact list of all banks in the United States, with a focus on finding individuals and departments related to:
Special Assets
Workout / Distressed Loans
Credit Risk / Recovery
REO (Real Estate Owned) Departments
Commercial Lending Contacts
? Deliverables:
A spreadsheet (CSV or Excel) with the following fields for each bank:
Bank Name
Website
Headquarters Address
Total Assets (optional, if public)
Department Name (Special Assets / Workout / REO / Commercial Lending)
Contact Name (if available)
Job Title
Email Address (official or work)
Phone Number
LinkedIn Profile (if found)
Notes / source URL (where data came from)
? Data Sources:
FDIC’s Bank Directory (https://banks.data.fdic.gov)
Federal Reserve’s NIC Database
Bank websites (scraped directly)
LinkedIn for additional enrichment
Email finders (Hunter.io, Clearbit, Apollo, etc.)
? Ideal Skills:
Python (Scrapy, BeautifulSoup, Selenium, etc.)
LinkedIn scraping / enrichment experience
Ability to bypass anti-bot systems (Cloudflare, CAPTCHAs)
Experience building large, accurate databases
Familiarity with U.S. financial institutions is a plus
⏱️ Timeline:
Ideally delivered within 1-2 weeks, but I’m flexible if needed.
? Budget:
Open to fixed price or hourly. Please send:
A brief summary of how you’d approach this project
A sample of past web scraping work (especially for large contact lists)
Your estimated timeline and cost
Web Scraper Needed to Build Full Contact List for All U.S. Banks (Special Assets / Workout Departments)
? Job Description:
I'm looking for a highly skilled and detail-oriented web scraper/data miner to build a comprehensive contact list of all banks in the United States, with a focus on finding individuals and departments related to:
Special Assets
Workout / Distressed Loans
Credit Risk / Recovery
REO (Real Estate Owned) Departments
Commercial Lending Contacts
? Deliverables:
A spreadsheet (CSV or Excel) with the following fields for each bank:
Bank Name
Website
Headquarters Address
Total Assets (optional, if public)
Department Name (Special Assets / Workout / REO / Commercial Lending)
Contact Name (if available)
Job Title
Email Address (official or work)
Phone Number
LinkedIn Profile (if found)
Notes / source URL (where data came from)
? Data Sources:
FDIC’s Bank Directory (https://banks.data.fdic.gov)
Federal Reserve’s NIC Database
Bank websites (scraped directly)
LinkedIn for additional enrichment
Email finders (Hunter.io, Clearbit, Apollo, etc.)
? Ideal Skills:
Python (Scrapy, BeautifulSoup, Selenium, etc.)
LinkedIn scraping / enrichment experience
Ability to bypass anti-bot systems (Cloudflare, CAPTCHAs)
Experience building large, accurate databases
Familiarity with U.S. financial institutions is a plus
⏱️ Timeline:
Ideally delivered within 1-2 weeks, but I’m flexible if needed.
? Budget:
Open to fixed price or hourly. Please send:
A brief summary of how you’d approach this project
A sample of past web scraping work (especially for large contact lists)
Your estimated timeline and cost