100k Indian Distributor Leads
Budget: ₹1,500 – ₹12,500 INR
The task is to assemble a fresh, accuracy-checked database of roughly 100 000 distributors and wholesalers operating in India’s Tier 2 and Tier 3 cities. Every record must contain three fields pulled directly from Google Maps:
• Phone number (mandatory and up-to-date)
• Business name
• Full address
I will audit a sample of the file for validity and pay strictly on the count of numbers that pass that check, so please factor in your own verification routine (auto-dial, recent review dates, etc.). No outdated or disconnected numbers, please.
Preferred format is an Excel or CSV sheet, one row per business. Start with a pilot batch (about 500 lines) so we can confirm quality, then scale to the full 1 lac target.
If you already have proven scraping workflows—Python + Selenium/BeautifulSoup, Google Maps API rotations, or similar—and can meet a ≥95 % connect rate, let’s move forward quickly.
• Phone number (mandatory and up-to-date)
• Business name
• Full address
I will audit a sample of the file for validity and pay strictly on the count of numbers that pass that check, so please factor in your own verification routine (auto-dial, recent review dates, etc.). No outdated or disconnected numbers, please.
Preferred format is an Excel or CSV sheet, one row per business. Start with a pilot batch (about 500 lines) so we can confirm quality, then scale to the full 1 lac target.
If you already have proven scraping workflows—Python + Selenium/BeautifulSoup, Google Maps API rotations, or similar—and can meet a ≥95 % connect rate, let’s move forward quickly.
Related categories:
Python
Data Entry
Excel
Web Scraping
Data Mining
Google Maps API
Data Scraping
Data Management