Scrape Fresno Case Manager Contacts
Budget: $10 – $30 USD
I am looking for a reliable data-scraping solution that gathers a current list of case managers and social workers who operate in Fresno County, California. The information must come only from publicly available directories; I’m deliberately avoiding sources such as LinkedIn or individual company sites.
What I need captured for every professional is simple and clear: their full name together with any contact details the directory publishes—typically email addresses and direct phone numbers. No job history or additional background is required.
Please deliver the final, de-duplicated dataset in a single Google Sheets file that I can share with my team. Make sure column headings are logical (e.g., Name, Title, Organization, Email, Phone, Source URL) and that each entry links back to the exact directory page for easy verification.
Before you begin, outline the specific public directories you intend to use and your approach to bypassing common anti-scraping measures while staying within each site’s terms of service. When the scrape is complete, I will spot-check a sample of rows against the source URLs; accuracy there will serve as the acceptance criterion for payment.
What I need captured for every professional is simple and clear: their full name together with any contact details the directory publishes—typically email addresses and direct phone numbers. No job history or additional background is required.
Please deliver the final, de-duplicated dataset in a single Google Sheets file that I can share with my team. Make sure column headings are logical (e.g., Name, Title, Organization, Email, Phone, Source URL) and that each entry links back to the exact directory page for easy verification.
Before you begin, outline the specific public directories you intend to use and your approach to bypassing common anti-scraping measures while staying within each site’s terms of service. When the scrape is complete, I will spot-check a sample of rows against the source URLs; accuracy there will serve as the acceptance criterion for payment.
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Data Entry
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Data Mining
Data Scraping
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