Bulk Phone Finder: Using Emails, LinkedIn Profiles, or Websites
Quickly find phone numbers in bulk by uploading a list of professional emails, LinkedIn profile URLs, or company websites.
Getting Started
Go to the Bulks page
Click on Phone Finder
Select + New Bulk, name your task
Upload your file
📄 Accepted formats: .CSV or .TXT
📌 Accepted input types (one per row):
Email addresses (e.g.,
[email protected])LinkedIn profile URLs (e.g.,
https://www.linkedin.com/in/johndoe/)Company websites/domains (e.g.,
tomba.io)
Processing & Results
Once the file is uploaded, Tomba will:
✅ Search for associated phone numbers
✅ Validate and score each phone number
You'll be able to:
See a summary of results by status
Download the full result file in CSV format
Choose to export all results or only valid phone numbers
Output File Details
The downloaded .csv will include:
Column | Description |
| Your original value (email, LinkedIn URL, or domain) |
| Phone number found and validated |
| Confidence score (in percentage) |
| Can be: |
- Valid: Confirmed and usable |
|
- Invalid: Not usable |
|
- Unknown: Could not be determined – use with caution |
|
Best Practices
✅ One value per line
✅ Max file size: 4MB
✅ Max 10,000 rows per file
✅ Avoid using special characters or empty lines
Managing Your Tasks
For every uploaded bulk, you can:
Sort: By task name, status, or creation date
Search: Locate specific tasks
Rename or Delete via dropdown options
Using the API for Bulk Phone Finding
You can also automate phone lookup via API:
from tomba.client import Client from tomba.services.phone import Phone client = Client().set_key('ta_xxxx').set_secret('ts_xxxx') phone_finder = Phone(client) result = phone_finder.phone_finder('[email protected]') # or LinkedIn/domain✅ Works with emails, LinkedIn URLs, or domains
✅ SDKs available in Python, PHP, Go, JavaScript, and more
Need Help?
Questions or issues?
Contact our support team — we’re happy to help!