The Lead Excavator
The web is full of leaky data. Use advanced Google Operators (Dorks) to find the lists others forgot to hide.
A Google dork for lead generation is a search query built from advanced operators that pulls public lead lists out of Google's index. You combine operators like site:, filetype:, and intitle: with your niche and location in quotes. For example, filetype:xlsx "Real Estate Agents" "Miami" "email" surfaces public spreadsheets of agents with contact columns. This tool assembles four such queries for you and opens them in Google.
How it works
Enter your target niche (e.g., "Real Estate Agents").
Enter your target location (e.g., "Miami").
Optionally add a target domain (e.g., "@gmail.com").
Click one of the 4 search vectors to launch a Google Dork query.
Each vector targets a different type of public data leak.
Sample queries
Each vector below is generated from the same sample inputs - niche "Real Estate Agents", location "Miami", domain "@gmail.com" (domain only used by the Spreadsheet Hunter):
| Search vector | Generated dork query |
|---|---|
| Spreadsheet Hunter | filetype:xls OR filetype:xlsx OR filetype:csv "Real Estate Agents" "Miami" "email" OR "phone" "@gmail.com" |
| Trello Leak | site:trello.com "Real Estate Agents" "Miami" "email" |
| Attendee List | site:eventbrite.com OR site:meetup.com "Real Estate Agents" "Miami" "attendee list" |
| Directory Scanner | intitle:"index of" "contacts" OR "leads" "Real Estate Agents" "Miami" |
Why it matters
Google indexes everything - including files people thought were private. Companies leave 'Leads.xlsx' on public servers. Sales teams use public Trello boards. Conferences publish attendee lists. This tool constructs the precise 'Google Dork' queries needed to unearth these assets. It's not magic; it's just asking Google the right question.
The Logic
Spreadsheet Hunter = filetype:xlsx "niche" "location"
"email"
Trello Leak = site:trello.com "niche" "email"
Directory Scanner = intitle:"index of" "leads"
"niche"
Disclaimer
Use ethically. Just because data is public doesn't mean it wasn't an accident.