Web Scraping & Data Extraction Specialist: Healthcare Directory (Excel / Google Sheets)

Project Overview: ​We are looking for a reliable, detail-oriented freelancer to extract and compile structured healthcare-related business data from 2–3 specified directory websites into an organized Excel / Google Sheets workbook. ​The directory covers healthcare entities categorized by location (City, State) and category, including images/photographs where available. ​Key Responsibilities: ​Target Categories: ​Hospitals & Clinics ​Doctors / Specialists ​Medical Stores / Pharmacies ​Diagnostic Centers & Pathology Labs ​Required Data Fields (Columns): ​Location: State, City, Area/Locality, Full Address, Pincode ​Entity Info: Business/Entity Name, Category, Sub-Category/Specialization (e.g., Cardiologist, Dental Clinic, 24x7 Pharmacy) ​Contact Details: Phone Number(s), Email Address, Official Website URL ​Operating Details: Working Hours/Timings, Emergency Services Available (Yes/No, if applicable) ​Media/Photographs: Direct image URLs of the facility/storefront/doctor profile (or locally downloaded and organized in a cloud folder matching the Record ID) ​Source: Original profile/listing URL ​Data Quality & Hygiene: ​Ensure 100% duplicate-free records. ​Standardize phone number formats, text casing (Title Case), and addresses. ​Validate that all image URLs are active and accessible. ​Deliverables: ​Clean, well-structured Microsoft Excel (.xlsx) and/or Google Sheets file. ​Separate tabs/sheets organized by State/City or filtered by Category as agreed. ​Google Drive folder containing images named systematically (if image downloads are requested). ​Required Skills & Qualifications: ​Proven experience in Web Scraping, Data Mining, or Data Entry. ​Proficiency with tools like Python (BeautifulSoup, Scrapy, Selenium), Octoparse, ParseHub, or manual curation tools. ​Advanced Excel/Google Sheets skills (data formatting, data validation, deduplication). ​Strong attention to detail and zero tolerance for missing/corrupted fields. ​To Apply, Please Provide: ​Brief summary of your experience with similar data extraction/directory projects. ​Estimated turnaround time for a sample batch (e.g., 5000–1,0000 records). ​Preferred tools/methods (automated scraper vs. manual extraction). ​Any relevant portfolio or sample sheets from past web scraping jobs.