How to Clean and Validate Your Airtable Email List

Bad email addresses are a silent problem. They look like valid data sitting in your Airtable table, but when you actually try to use them -- sending outreach, sharing documents, triggering automations -- they bounce, fail silently, or reach inboxes that nobody checks.

The consequences compound: high bounce rates damage your sender reputation, disposable emails inflate your contact count without representing real people, and typos in email addresses mean legitimate contacts never hear from you.

Airtable validates that an email field contains an "@" symbol and a domain, but that is where its validation ends. It cannot tell you whether john@gmial.com is a typo, whether user@tempmail.org is a throwaway address, or whether info@nonexistent-domain.xyz has a mail server that can actually receive email.

This guide covers how to validate and clean email addresses in your Airtable tables using Filla's Email Validator tool.

Cleaning up your Airtable email list Filla's Email Validator checks format, MX records, disposable providers, and typos across your entire table

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What email validation actually checks

Email validation is not a single check -- it is a series of progressively deeper verifications. Filla's Email Validator runs four distinct checks, each catching a different category of problem:

Format check (RFC 5322)

The most basic level. Verifies that the email address follows the RFC 5322 standard for email syntax. Catches clearly malformed addresses like john@, john@.com, @example.com, or addresses with spaces and illegal characters.

This catches data entry errors where someone typed something that is not structurally an email address at all.

MX record check

A DNS lookup that verifies the domain has a mail exchanger (MX) record -- meaning there is a mail server configured to receive email for that domain. An address like john@nonexistent-company.xyz will pass format validation but fail the MX check because no mail server exists.

This is a network request per unique domain (not per email), so it adds processing time but provides valuable signal about whether emails can actually be delivered.

Disposable email detection

Identifies throwaway email providers like Mailinator, Guerrilla Mail, Temp Mail, and hundreds of similar services. People use these addresses when they want to sign up for something without providing their real email. The addresses work temporarily but are abandoned quickly.

If your Airtable table contains contacts from form submissions or lead generation, disposable email detection helps you distinguish between real contacts and people who had no intention of engaging.

Typo suggestions

Detects common domain misspellings and appends a correction hint to the validation result. For example, john@gmial.com is flagged with a suggestion to correct to john@gmail.com. Similarly, john@yaho.com suggests john@yahoo.com.

This does not automatically correct the email -- it flags it so you can review and fix it. A single corrected typo can mean the difference between losing a lead and reaching them.

Step-by-step: Validate emails in Airtable

Step 1: Prepare your table

You need two fields:

Source field: An Email or Single Line Text field containing the email addresses to validate.
Output field: A text field where Filla will write the validation status result. Create a new Single Line Text field called something like "Email Status" or "Validation Result."

Step 2: Create an Email Validator tool in Filla

In your Filla workspace, open the base containing your email data. Create a new processor tool and select Email Validator. Name it something like "Contact Email Validation" or "Lead List Cleanup."

Step 3: Map the source and output fields

Select the source table, then choose the source field (your email field) and the output field (where validation results will be written).

Step 4: Choose which checks to enable

Enable the validation checks that match your needs:

Format check: Almost always enable this. Catches structurally invalid addresses.
MX record check: Enable if you want to verify that the domain can receive email. Recommended for any list you plan to send communications to.
Disposable email detection: Enable if your list comes from form submissions, signups, or lead generation where throwaway addresses are common.
Typo suggestions: Enable to catch correctable mistakes. Especially valuable for manually entered data.

Step 5: Configure handling options

Skip empty fields: Skip records where the email field is blank.
Overwrite existing output: When enabled, re-validates records that already have a validation status. When disabled, skips already-validated records for incremental processing.

Step 6: Preview results

Filla provides an interactive preview showing validation results for a sample of your records. This lets you see how the checks perform on your actual data before processing the full table.

Step 7: Run the validator

Click Run to start validation. The tool processes records in the background with real-time progress tracking. When complete, your output field will contain the validation status for each email address.

What to do with validation results

After running the validator, use Airtable views and filters to act on the results:

Filter for invalid format. These are clearly broken addresses. Either correct them if the right address is obvious, or remove them from your active list.

Filter for failed MX checks. These domains do not have mail servers. The addresses cannot receive email. Move them to an inactive segment or delete them.

Filter for disposable emails. These are intentionally temporary addresses. Unless you have a specific reason to keep them, exclude them from outreach and communication workflows.

Review typo suggestions. These are your highest-value fixes. Each corrected typo recovers a potentially valid contact. Review the suggestions, update the email addresses in Airtable, and re-validate to confirm the corrections.

Create a "clean list" view. Build an Airtable view that filters to only records with passing validation status. Use this view as the source for any downstream workflow that sends emails -- whether through Airtable automations, third-party tools, or Filla's form confirmation emails.

Preventing bad emails at the point of entry

Validation after the fact is necessary for existing data, but preventing bad emails from entering your table in the first place is more efficient.

Filla's form builder includes email validation features at the field level that catch problems during submission:

Block free email providers: Reject emails from Gmail, Yahoo, Hotmail, and other free providers. Useful for B2B forms where you want business email addresses only.
Block disposable emails: Reject throwaway addresses at submission time, powered by the MailChecker library. The form shows an error and the submission is not accepted.
Typo detection: When a respondent enters an email with a common domain typo, the form shows a suggestion ("Did you mean gmail.com?") before they submit.
OTP verification: Send a one-time code to the entered email address. The respondent must enter the code to confirm they own the address. This is the strongest verification -- it proves the address is real, active, and accessible to the person submitting the form.

Using these form-level checks alongside periodic bulk validation of your existing data gives you the most comprehensive email data quality.

How often to validate

Email data degrades over time. People change jobs, domains expire, and mail servers go offline. A clean list today will have invalid addresses in six months.

After every major import. Run validation on newly imported data before using it in any workflow.

Quarterly for active lists. If you maintain a contact list in Airtable that you communicate with regularly, validate quarterly to catch degraded addresses.

Before any large outreach. Before sending a campaign or bulk communication, validate the recipient list. A single batch of bounced emails can damage your sender reputation more than months of regular sends.

After form collection periods. If you run a signup form, event registration, or lead generation campaign, validate the collected emails afterward to assess data quality, especially if you did not use form-level validation during collection.

FAQ

Does the Email Validator actually send emails to verify addresses?

No. Filla's Email Validator does not send any emails. It performs format checking (syntax analysis), DNS lookups (MX record verification), database lookups (disposable provider detection), and pattern matching (typo suggestions). No test emails are sent to the addresses being validated.

Can I validate phone numbers the same way?

Filla's Email Validator is specifically for email addresses. For phone number validation, Filla's form builder includes phone format validation powered by libphonenumber-js, which validates numbers against country-specific formats at submission time. There is not currently a bulk phone validation processor tool.

What does the validation status output look like?

The output field receives a text value summarizing the validation result for each email. This includes which checks passed, which failed, and any typo suggestions. You can then filter and sort on this field in Airtable to segment your records.

How long does validation take for large lists?

Processing time depends on which checks are enabled. Format and disposable checks are near-instant. MX record checks require a DNS lookup per unique domain, which adds time but is cached per domain -- so 1,000 emails across 50 domains only requires 50 DNS lookups. Most lists of a few thousand records complete in under a minute.

Can I validate emails in fields other than Email type?

Yes. The source field can be either an Email field or a Single Line Text field. This is useful if your email addresses are stored in a generic text column, which sometimes happens with imported data.

Clean email data powers reliable workflows

Every Airtable workflow that involves email communication -- confirmations, notifications, outreach, document sharing -- depends on having valid email addresses. Invalid addresses do not just fail silently; they actively harm deliverability and waste resources.

Filla's Email Validator gives Airtable teams a way to audit and clean email data in bulk, while Filla's form builder prevents bad emails from entering the table in the first place. Together, they keep your email data reliable.

Try the Email Validator → or explore all of Filla's Airtable processor tools.

Ready to build smarter Airtable workflows? Start with Filla's form builder -- forms, processor tools, and document generation, all Airtable-native.