Record Once. Loop Across Every Item.

Recognizing Repetition

Many browser tasks follow the same pattern: open an item, capture a value, close the item, and move to the next one. During recording, RTILA X watches for these repeated sequences. When it recognizes a block of actions that occurs multiple times with the same structure, it can group that block into a loop placeholder.

This automatic detection reduces clutter in the command builder. Instead of seeing the same ten actions repeated forty times, you see one loop that describes the repeating process. You can then adjust the loop once rather than editing forty copies of each command.

Manual Loop Creation

You do not need to rely on automatic detection. After recording, you can select any group of steps in the visual builder and convert them into a loop. This is useful when the repeated pattern does not match exactly from item to item, or when you want to apply a recorded sequence across a dataset of URLs or values.

A manual loop gives you full control over the iteration source. The loop can iterate over items on the page, over a list of values collected from a previous step, or over a fixed number of repetitions. You can also add conditions that stop the loop early when a page condition changes.

Loops with Pagination

Loop recording pairs naturally with pagination. You might record a block of actions for the first page of results, then add a loop that repeats those actions after each pagination click. RTILA X handles the page transitions and preserves the loop context across each new page.

This is one of the most common patterns for e-commerce and directory scraping. You record how to open a product from a grid, capture its details, and return. Then the loop repeats that sequence for every product, and pagination continues when the page runs out of visible items.

Why Loops Matter for Scale

A workflow that works for one item is a demo. A workflow that loops correctly across all items is a production tool. Loop recording turns your first recorded pass into the foundation for large-scale data collection without requiring you to manually repeat the same actions dozens of times.

Once a loop is in place, you can add error handling and checkpoint support so the workflow continues reliably even when one item fails. That reliability is critical for long automations that may process thousands of records in a single run.