🗂️Data Source

Airtable Data Source — Automate Social Content from Your Airtable Bases

Connect your Airtable bases to Storylayer and let AI transform your structured records — CRM contacts, product catalogues, property listings, project trackers — into branded social media content and blog articles, published on autopilot.

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All Airtable field types supported
Image attachment support for post backgrounds
Field-to-template variable mapping
Record creation and update detection
View filtering for scoped data access
Traceability from Airtable record to published post

What the Airtable Integration Does

The Storylayer Airtable connector reads records from your Airtable bases and uses them as structured data for AI-powered content generation. Airtable's rich field types — single line text, long text, attachments, checkboxes, single select, linked records, dates, currencies, and formulas — are all supported. When records are created or updated in your Airtable base, Storylayer detects the change and can trigger content creation automatically. This bridges the gap between your operational database and your social media presence: the same Airtable base your team uses to manage listings, track inventory, or run a CRM becomes the source of truth for your published content.

How to Connect Airtable

In your Storylayer project, add a new data source and select Airtable. You'll authenticate using an Airtable personal access token, which you can generate from your Airtable account settings. Once authenticated, Storylayer displays your available bases and tables. Select the table you want to use and Storylayer reads its schema — field names, types, and sample data. You can then map Airtable fields to Storylayer template variables and content fields. A "Name" field might map to the headline overlay, a "Price" field to the price badge, and an "Image" attachment field to the post background. Storylayer polls your table for changes at your configured interval.

Supported Field Types

Storylayer supports the full range of Airtable field types. Text fields (single line and long text) are used for headlines, descriptions, and caption context. Number and currency fields populate price badges, statistics, and data points in templates. Attachment fields are particularly powerful — Storylayer can use Airtable image attachments directly as post backgrounds or featured images, eliminating the need for a separate image source. Single select and multi-select fields help the AI categorise content and select appropriate templates. Date fields enable time-based triggers ("post 3 days before event date"). Checkbox fields can gate content — only records marked "Ready to Post" will trigger generation.

Example Use Cases

A property developer manages their portfolio in Airtable with fields for address, price, photos, features, and status. When a listing's status changes to "Active," Storylayer generates a branded Instagram post, a LinkedIn market update, and a Ghost blog listing — all within minutes, all from the same Airtable record. A product-based business tracks their catalogue in Airtable and auto-posts new product announcements when a record is added with the "Published" checkbox ticked. A conference organiser stores speaker profiles in Airtable and publishes daily speaker spotlight posts during the lead-up to their event. A recruitment firm posts new job openings from their Airtable pipeline to LinkedIn and X with role-specific graphics and AI-written descriptions.

Storylayer Features That Work with Airtable

Airtable is one of Storylayer's most powerful data sources because of its structured, typed data. Field mapping connects Airtable fields directly to Creatomate template elements — drop a currency value into a price badge, an attachment into the background layer, a formula result into a stat counter. The AI caption engine receives all mapped field values as context, writing captions that reference specific data points naturally. Automation triggers can fire on record creation, field updates, or formula threshold crossings. The approval queue shows you exactly which Airtable record generated each post, so you maintain traceability from database to published content. View filtering lets you scope the connector to a specific Airtable view, so only pre-filtered records trigger content.

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