

Connectors / Integration
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.
Typeform + Airtable integration
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.
Manually exporting Typeform responses and importing them into Airtable is slow, error-prone, and creates delays that hurt teams making decisions based on that data. Automating the integration with tray.ai keeps your databases fresh, your records complete, and your team focused on analysis instead of data entry. Whether you're running a customer research survey, a job application process, an event registration, or a product feedback loop, submissions are immediately structured, tagged, and visible in Airtable the moment they arrive. It goes beyond simple record creation too. tray.ai lets you build conditional logic that routes different form answers into different Airtable tables, triggers follow-up workflows, or pulls in data from other connected tools.
Automate & integrate Typeform + Airtable
Automating Typeform and Airtable business processes or integrating data is made easy with Tray.ai.
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.
- Zero data entry lag — leads appear in Airtable the moment they submit
- Consistent field mapping prevents missing or mislabeled lead data
- Sales teams can filter, sort, and prioritize leads immediately in Airtable
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.
- Real-time attendee list always reflects the latest registrations
- Structured Airtable views make capacity planning and logistics straightforward
- Automated deduplication checks prevent duplicate attendee records
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.
- Hiring teams see new applications instantly without manual data imports
- All candidate data is structured and searchable in one Airtable base
- Application volume metrics and pipeline stages stay accurate and current
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.
- Feedback data is instantly available for trend analysis in Airtable
- Conditional routing flags low NPS scores for urgent follow-up
- No more periodic CSV exports — feedback is always current
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.
- Responses are formatted consistently regardless of answer type
- Real-time response counts help researchers track survey completion progress
- Clean, structured data reduces time spent on pre-analysis data cleaning
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.
- Client onboarding records are created before the first internal meeting
- All intake information is centralized and accessible to the entire team
- Faster project kickoffs because client context is available immediately
Challenges Tray.ai solves
Common obstacles when integrating Typeform and Airtable — and how Tray.ai handles them.
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 helps
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 helps
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 helps
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.
Templates
Pre-built workflows for Typeform and Airtable you can deploy in minutes.
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.
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.
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.
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.
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.
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.
How Tray.ai makes this work
Typeform + Airtable runs on the full Tray.ai platform
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