B2B sales teams in India spend hours every week copying business names, phone numbers, and addresses from Google Maps and JustDial into spreadsheets. We built Datass to do that work for you — accurately, on a schedule, with zero copy-paste.
Datass scrapes public business directories on a cron schedule, normalizes the results into a unified CRM schema, deduplicates the same company across sources, and tracks every change. You log in, set a keyword + city + cadence, and walk away. Open the panel a day later and your CRM is full.
tenant_id; queries are scoped at the SQL layer, not just the application layer. Two customers scraping the same Mumbai freight forwarder get two separate rows in two separate scopes — neither sees the other's CRM. Admins see aggregate counts only.
Node.js · Express · Bull (Redis) · SQLite WAL · Puppeteer-extra with stealth · JWT + bcrypt for auth · Apache reverse proxy with Let's Encrypt SSL. Open-source backbone, hardened where it matters.
This is a small team building for India-first B2B sales workflows. If you'd like a custom adapter (your industry's directory, your trade-association website), drop us a note from inside the customer panel. We read everything.