How do I go from a Workflow to a Grid?
Running a workflow once is useful. Running it across hundreds of rows automatically is transformative. Connecting an AirOps Workflow to a Grid lets you execute the same automated task at scale across your full dataset. This tutorial covers how to set up that connection.
Key takeaways
- Connecting a Workflow to a Grid turns a single automated task into a repeatable process that runs across every row of your dataset.
- Your Workflow must be published before you can connect it to a Grid; draft Workflows won't appear in the column selector.
- Map Grid columns to Workflow input variables carefully; test with a small batch before running across the full dataset.
- You can choose between manual and automatic run modes, and a single Grid can have multiple Workflow columns chained together.
- Failed rows can be re-run individually without reprocessing the entire Grid.
Tutorial overview
AirOps Grids let you run any Workflow across hundreds of rows of data from a single interface. Instead of executing a Workflow one input at a time, you connect it to a Grid column so it processes every row automatically.
This tutorial walks you through the full setup: adding a Workflow column to your Grid, selecting the right Workflow, and mapping its inputs to your existing columns. You also configure whether rows run manually or automatically, so you stay in control of when and how your content gets processed.
Once you've mapped your inputs, you can process an entire spreadsheet of URLs, keywords, or product data in a single click. Refreshing 500 blog posts or generating meta descriptions for thousands of product pages follows the same setup. The connection takes minutes to configure, and the time savings compound with every batch you run.
Practice
Go from a Workflow to a Grid in AirOps
Scale an existing Workflow into a Grid for bulk execution across multiple rows of data. Connect your Workflow to a Grid so it runs automatically at scale across your full dataset.