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Connectors / Data and analytics · HTTP Connector

Automate Supadata with Tray.ai

Create a transcript batch in Supadata. Connect Supadata to the rest of your data and analytics stack with Tray.ai.

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What can you do with Supadata on Tray.ai?

Supadata is an API that turns videos into text transcripts and web pages into Markdown, covering YouTube, TikTok, Instagram, X and Facebook plus website scraping. Tray.ai connects to Supadata through the HTTP Connector, so your workflows can call the Supadata API alongside the rest of your stack.

Connects through
HTTP Connector
Authentication
An API key in a request header
Base URL
https://api.supadata.ai/v1

What the Supadata API covers

6 resources and 18 documented actions, each one a call the HTTP Connector can make from a Tray.ai workflow.

Transcripts

  • Get a video transcript
  • Get a transcript job result
  • Translate a YouTube transcript

Media metadata

  • Fetch media metadata
  • Get YouTube video metadata

YouTube

  • Search YouTube
  • Get channel metadata
  • Get playlist metadata
  • Get channel video IDs

Batches

  • Create a transcript batch
  • Create a video batch
  • Get batch results

Web

  • Scrape a web page
  • Map a website
  • Crawl a website
  • Get crawl status

Extract

  • Extract structured video data
  • Get an extract result

Checked against Supadata's own documentation on 2026-10-22

docs.supadata.ai/api-reference/introduction

Frequently asked questions

What can a Tray.ai workflow do in Supadata?

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The Supadata API documents 18 actions across 6 resources (Transcripts, Media metadata, YouTube, Batches, Web, Extract). For example: Get a video transcript; Fetch media metadata; Search YouTube. A workflow can make any documented call through the HTTP Connector.

How does Tray.ai authenticate with Supadata?

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The Supadata API uses an API key in a request header. You save it once as a Tray.ai authentication, and the HTTP Connector adds it to every request.

See Supadata working against your stack.

We'll walk through a tailored demo with your systems plugged in.

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