Email Finder
Find a person's professional email from their name and company domain. You have names and companies (leads, event attendees, a CRM export) and need a professional email for each person.
Credits: 1 search credit when an email is found (+5 per phone with enrich_mobile). Lookups that find nothing cost nothing. See Pricing and limits.
Inputs and options
Any one of these input combinations:
domain(Company domain) +first_name(First name) +last_name(Last name)domain(Company domain) +full_name(Full name)company(Company name) +first_name(First name) +last_name(Last name)company(Company name) +full_name(Full name)
| Option | Type | Default | Description |
|---|---|---|---|
enrich_mobile | BOOLEAN | false | Also look up mobile phones (+5 credits per phone found). |
Try one value
Code
The call returns the result as a VARIANT (example values, shortened):
Code
status is found, not_found, invalid or error; results holds the output columns and data the complete
Tomba record.
Run it over a table
Create a small table to try it (or use one of yours, after granting the app access):
Code
Run the tool, then read the results:
Code
Signature: find_emails(input_table STRING, domain_column STRING, first_name_column STRING, last_name_column STRING, output_table STRING, max_rows INT DEFAULT 100000)
Other inputs with run_tool
With a full name and a company name instead of a domain:
Code
Start with a small max_rows (like 100) to check the match rate on your
data, then run the whole table, in the background if
it is large.
Output columns
Each row starts with INPUT_<name> columns (your values, unchanged) and then has:
EMAIL, SCORE, VERIFICATION_STATUS, FIRST_NAME, LAST_NAME, FULL_NAME, POSITION, DEPARTMENT, COMPANY, WEBSITE_URL, COUNTRY, LINKEDIN, TWITTER, EMAIL_TYPE, ACCEPT_ALL, PHONE_NUMBER, followed by the common columns
(LOOKUP_STATUS, CREDITS, DATA, SOURCE, …).
Tips
SCOREis Tomba's confidence (0–100);VERIFICATION_STATUStells you whether the address was verified.- The table procedure takes domain + first + last name. For full names or company names, use
run_toolas shown above. - Add
{'enrich_mobile': true}inrun_tooloptions to also get a mobile number (+5 credits per phone found).