Typeform + Airtable
Connect Typeform and Airtable to Turn Form Responses into Structured Data, Automatically
Stop copying form submissions by hand and start building real-time databases from every Typeform response.
Why integrate Typeform and Airtable?
Typeform and Airtable are two of the most popular tools for collecting and organizing information, yet most teams still manage the data flow between them manually. When someone fills out a survey, registration form, or lead capture, that data needs to land somewhere useful. Airtable's flexible, relational database structure makes it a natural destination. Connecting them through tray.ai means every submission gets captured, enriched, and routed into the right Airtable base — no copy-pasting required.
Automate & integrate Typeform & Airtable
Use case
Capture Lead Form Submissions Directly into Airtable CRM
When a prospect completes a Typeform lead generation form, tray.ai instantly creates a new record in your Airtable CRM base with all submitted fields mapped to the correct columns. This eliminates the lag between a lead expressing interest and your sales team being able to act on it. Each record can be automatically tagged with source, timestamp, and lead score based on form answers.
Use case
Automate Event Registration and Attendee Tracking
Use Typeform to collect event registrations and automatically build a live attendee database in Airtable. Each registration creates a structured record with name, contact details, session preferences, and dietary requirements pulled straight from the form. Your events team gets a single source of truth for attendee management without any manual imports.
Use case
Route Job Applications Directly into Your Hiring Pipeline
When candidates submit a Typeform job application, tray.ai creates a corresponding Airtable record in your hiring pipeline with all application details mapped to the right fields. Recruiters can see new applicants right away, apply status tags, and start evaluating without waiting for CSV exports. The integration supports multiple job forms feeding into a single unified candidate database.
Use case
Collect and Organize Customer Feedback in Real Time
Route Typeform NPS surveys, post-purchase feedback forms, and product satisfaction questionnaires directly into an Airtable base for analysis. tray.ai maps each question response to a dedicated Airtable field, letting your team slice feedback by score, product, customer segment, or date without any manual processing. Negative sentiment responses can trigger immediate internal alerts.
Use case
Manage Research and Survey Data Collection Pipelines
Researchers using Typeform to gather survey data can automatically funnel all responses into a structured Airtable base with consistent formatting and field validation. tray.ai handles the transformation of free-text, multiple-choice, and rating-scale responses into clean, query-ready records. Large-scale studies benefit from real-time response tracking as submissions come in.
Use case
Automate New Client Onboarding Intake
When a new client completes a Typeform onboarding questionnaire, tray.ai automatically creates a client record in Airtable and fills it in with project requirements, timelines, contact details, and preferences captured in the form. Account managers and project teams have the context they need before the first internal meeting. The workflow can also trigger onboarding task creation in connected project management tools.
Use case
Track Contest Entries and Giveaway Submissions
Use Typeform to collect contest or giveaway entries and have tray.ai automatically log each submission in Airtable with participant details, entry timestamp, and any qualifying answers. Marketing teams get a live view of entry volume, can verify eligibility criteria programmatically, and can run winner selection directly from the Airtable base.
Get started with Typeform & Airtable integration today
Typeform & Airtable Challenges
What challenges are there when working with Typeform & Airtable and how will using Tray.ai help?
Challenge
Mapping Diverse Typeform Field Types to Airtable Column Types
Typeform supports a wide range of question types — including rating scales, opinion scales, file uploads, multiple-choice, dropdowns, and date pickers — each of which needs to be correctly transformed to match the corresponding Airtable field type. Mismatches cause broken records, import failures, or data loss that's difficult to diagnose after the fact.
How Tray.ai Can Help:
tray.ai's visual data mapper gives you explicit field-to-field control between Typeform response objects and Airtable columns, with built-in type coercion for common conversions like Typeform date formats to Airtable date fields and numeric scores to Airtable number columns. Custom transformation logic handles edge cases without writing complex code.
Challenge
Handling Partial or Incomplete Typeform Submissions
Typeform can capture partial responses when respondents abandon a form before completing it. Routing incomplete data directly to Airtable risks creating records with missing required fields, which breaks downstream workflows or reporting that depends on complete records.
How Tray.ai Can Help:
tray.ai lets you define completion conditions and field validation rules within the workflow. Partial submissions can be filtered out, held in a staging table for review, or sent to a separate Airtable base with an 'Incomplete' status flag — so your primary database only contains complete, actionable records.
Challenge
Keeping Multi-Form Workflows Organized Across Multiple Airtable Bases
Organizations often run dozens of active Typeform forms at once — across different departments, campaigns, or products — each needing to route into a different Airtable base or table. Managing this without a proper integration layer means maintaining separate connections for every form, which gets unmanageable fast.
How Tray.ai Can Help:
tray.ai supports dynamic routing logic that reads the source form ID from the Typeform webhook payload and sends the data to the correct Airtable base and table. A single tray.ai workflow can handle routing for an entire library of forms, with centralized logging and error handling across all of them.
Challenge
Avoiding Duplicate Records from Resubmissions or Webhook Retries
Users sometimes submit the same Typeform form more than once, and webhook delivery systems occasionally retry failed requests — both of which can result in duplicate records appearing in Airtable. Duplicate data corrupts reporting, inflates pipeline counts, and creates confusion for teams working off the Airtable base.
How Tray.ai Can Help:
tray.ai workflows can perform a lookup in the target Airtable table before creating a new record, using a unique identifier such as email address or Typeform response ID as the deduplication key. If a matching record is found, the workflow updates it rather than creating a duplicate, keeping your Airtable database clean and accurate.
Challenge
Managing Airtable API Rate Limits During High-Volume Form Campaigns
During peak periods like product launches, webinar registrations, or viral campaigns, Typeform submissions can arrive in rapid bursts that exceed Airtable's API rate limits. Without proper handling, this causes failed record creation, lost data, and gaps in the Airtable database that are difficult to fill retrospectively.
How Tray.ai Can Help:
tray.ai includes built-in rate limit handling and automatic retry logic with exponential backoff, so high-volume bursts of Typeform submissions are queued and processed reliably without data loss. Workflow monitoring dashboards give visibility into processing queues so teams can confirm all submissions have been successfully written to Airtable.
Start using our pre-built Typeform & Airtable templates today
Start from scratch or use one of our pre-built Typeform & Airtable templates to quickly solve your most common use cases.
Typeform & Airtable Templates
Find pre-built Typeform & Airtable solutions for common use cases
Template
New Typeform Response → Create Airtable Record
The foundational template that triggers whenever a new Typeform response is submitted and automatically creates a corresponding record in a specified Airtable base and table. All form fields are mapped to Airtable columns with full support for text, number, date, and multi-select field types.
Steps:
- Trigger fires when a new response is submitted to a specified Typeform form
- Response payload is parsed and individual fields are mapped to target Airtable columns
- A new record is created in the designated Airtable base and table with all mapped field values
Connectors Used: Typeform, Airtable
Template
Typeform Lead Form → Airtable CRM with Lead Scoring
Captures new Typeform lead form submissions, applies conditional lead scoring logic based on form answers such as company size or budget range, and creates an enriched lead record in Airtable with a calculated score field and priority tag.
Steps:
- Trigger fires on new Typeform lead form submission
- tray.ai evaluates qualification fields and computes a lead score based on defined rules
- Airtable record is created with all lead fields plus calculated score and priority classification
Connectors Used: Typeform, Airtable
Template
Typeform Survey Response → Airtable + Slack Alert for Low NPS Scores
Monitors incoming Typeform NPS survey responses and automatically logs them all in Airtable. When a response includes a low NPS score below a defined threshold, the workflow creates the Airtable record and sends a Slack notification to the customer success team for immediate follow-up.
Steps:
- Trigger fires on every new Typeform NPS survey submission
- Response is logged as a new record in the Airtable feedback base regardless of score
- Conditional logic checks NPS score — if below threshold, a Slack alert is dispatched to the designated channel
Connectors Used: Typeform, Airtable
Template
Typeform Job Application → Airtable Hiring Pipeline Record
Automatically ingests job applications from Typeform into a structured Airtable hiring pipeline. Each application creates a new candidate record with fields for name, contact, role applied, experience level, and application status set to 'New'. Supports multiple Typeform forms feeding into a single Airtable recruiter dashboard.
Steps:
- Trigger fires when a new Typeform job application form is submitted
- Applicant details are extracted and mapped to the Airtable hiring pipeline schema
- New Airtable record is created with status set to 'New Application' and timestamp recorded
Connectors Used: Typeform, Airtable
Template
Typeform Event Registration → Airtable Attendee List with Deduplication
Processes incoming Typeform event registrations and checks the Airtable attendee base for existing records matching the email address before creating a new entry. If a duplicate is detected, the workflow updates the existing record rather than creating a second one, keeping the attendee list clean and accurate.
Steps:
- Trigger fires on new Typeform event registration submission
- tray.ai queries the Airtable attendee table to check for an existing record with the same email address
- If no match is found, a new record is created; if a match exists, the existing record is updated with the latest submission data
Connectors Used: Typeform, Airtable
Template
Daily Typeform Response Summary → Airtable Metrics Dashboard Record
Runs on a scheduled daily basis to aggregate the previous day's Typeform response count and answer distributions, then logs a summary record into an Airtable metrics dashboard table. Teams can track form performance and response trends over time without manually reviewing individual submissions.
Steps:
- Scheduled trigger fires once daily at a defined time
- tray.ai fetches all Typeform responses submitted in the previous 24-hour window and aggregates key metrics
- A summary record is written to the Airtable metrics table with date, response count, and calculated averages
Connectors Used: Typeform, Airtable