Airline Web Check-in Data Extraction with Ollama AI, Google Sheets & Postgres Vector DB

Manually searching airline check-in pages takes time. This workflow makes it easier by collecting check-in links, reading them using AI, and giving clean, organized results. It is designed to help travel teams, support agents, or apps save effort and avoid errors.

• No need to visit multiple airline websites
• Clean, structured check-in details in one place
• Saves time for travel teams and automation tools
• Reduces human error and speeds up workflows
• Easy to update and scale as airline info changes

If you want to know more about this workflow, visit here: Official Workflow Page

1. Start with a webhook – It listens for requests with airline names.
2. Search check-in pages – AI fetches the right pages using search terms.
3. Extract full HTML – The raw content of the check-in page is pulled.
4. Understand the content – A language model reads and extracts the important info.
5. Format and send results – Clean data is returned as a structured, easy-to-read response.

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