Phone Number Scraping Specialist Needed
Budget: $30 – $250 USD
I want to build a fresh, well-targeted database of phone numbers pulled from public websites and reputable online directories. At the moment I do not have a predefined list of sites, so I need your guidance on which sources are most likely to yield accurate, up-to-date contacts in the niches we decide on together.
The scope is strictly phone numbers—emails or social profiles can remain optional for later phases. Please propose the platforms you would mine, outline the techniques or tools you prefer (Python, Scrapy, BeautifulSoup, Selenium, API access, etc.), and tell me how you will stay within each site’s terms of service.
Deliverables
• A clean CSV or Excel file containing: phone number, source URL, and any immediately available contextual data (name, company, location).
• A brief methods note so I understand how the data was gathered and can replicate or update it if needed.
Accuracy, deduplication, and transparency in your process are essential. Let me know your estimated timeframe and any preliminary questions so we can get started right away.
The scope is strictly phone numbers—emails or social profiles can remain optional for later phases. Please propose the platforms you would mine, outline the techniques or tools you prefer (Python, Scrapy, BeautifulSoup, Selenium, API access, etc.), and tell me how you will stay within each site’s terms of service.
Deliverables
• A clean CSV or Excel file containing: phone number, source URL, and any immediately available contextual data (name, company, location).
• A brief methods note so I understand how the data was gathered and can replicate or update it if needed.
Accuracy, deduplication, and transparency in your process are essential. Let me know your estimated timeframe and any preliminary questions so we can get started right away.
Related categories:
Python
Web Scraping
Software Architecture
Data Mining
Scrapy
Data Scraping
BeautifulSoup
Data Collection