Website Contact Data Extraction
Budget: $250 – $750 USD
I need accurate contact information pulled directly from websites and placed into a clean, well-structured spreadsheet. Each entry should capture at minimum the company name, contact person (if listed), email address, phone number, and the page URL where the details were found.
You may rely on any combination of manual copy-paste, browser extensions, or automated scripts (Python, BeautifulSoup, Selenium, etc.) so long as the final dataset is complete and error-free. Please double-check for duplicate or invalid emails before submitting.
Deliverables
• A spreadsheet (Excel or Google Sheets) containing the extracted contact fields
• A brief note on the method or toolset you used, so I can reproduce or update the data later
Acceptance criteria
• 100 % of the target sites processed
• No empty mandatory fields
• Consistent formatting (e.g., emails in lowercase, phone numbers with country code)
Feel free to suggest efficient workflows or validation steps you already use—accuracy is more important to me than speed.
You may rely on any combination of manual copy-paste, browser extensions, or automated scripts (Python, BeautifulSoup, Selenium, etc.) so long as the final dataset is complete and error-free. Please double-check for duplicate or invalid emails before submitting.
Deliverables
• A spreadsheet (Excel or Google Sheets) containing the extracted contact fields
• A brief note on the method or toolset you used, so I can reproduce or update the data later
Acceptance criteria
• 100 % of the target sites processed
• No empty mandatory fields
• Consistent formatting (e.g., emails in lowercase, phone numbers with country code)
Feel free to suggest efficient workflows or validation steps you already use—accuracy is more important to me than speed.
Related categories:
Python
Data Entry
Web Scraping
Google App Engine
Data Mining
Data Extraction
BeautifulSoup
Selenium