Scrape Verified Retail Jeweller Listings
Budget: ₹1,500 – ₹12,500 INR
I need a comprehensive, fully-verified database of retail jewellers operating in Delhi, Jaipur, Jodhpur and Chandigarh. For every store the dataset must include:
• Business name
• Complete street address
• Working contact number
Accuracy comes first, so before we move to the full run I’ll review a sizeable sample. Please share at least 2,000 records in a single Excel workbook; I’ll spot-check phone numbers and addresses to confirm authenticity. Any entry that fails verification will be rejected, so your process should already cover deduplication, address standardisation and phone validation.
Once the sample is cleared, I’ll expect the complete, cleaned file plus a brief note on the sources and tools you used. Feel free to rely on Python, Scrapy, Selenium, Google Maps API—or any stack you trust—so long as the final data is accurate, up-to-date and refreshable later if needed.
Drop me a quick outline of your scraping approach and timeline, and we can get started right away.
• Business name
• Complete street address
• Working contact number
Accuracy comes first, so before we move to the full run I’ll review a sizeable sample. Please share at least 2,000 records in a single Excel workbook; I’ll spot-check phone numbers and addresses to confirm authenticity. Any entry that fails verification will be rejected, so your process should already cover deduplication, address standardisation and phone validation.
Once the sample is cleared, I’ll expect the complete, cleaned file plus a brief note on the sources and tools you used. Feel free to rely on Python, Scrapy, Selenium, Google Maps API—or any stack you trust—so long as the final data is accurate, up-to-date and refreshable later if needed.
Drop me a quick outline of your scraping approach and timeline, and we can get started right away.
Related categories:
Python
Data Entry
Web Scraping
Google App Engine
Data Mining
Google Maps API
Scrapy
Data Scraping
Selenium
Data Collection