No Selectors. No Setup. Just Captured Data.
RTILA X listens to page API calls and generates extraction commands from structured JSON automatically.
The Promise of Zero-Config Extraction
Traditional scraping requires configuration. You inspect a page, choose selectors, map columns, and handle pagination. That process can take more time than the actual data collection, especially on a site that is new to you. Zero-config extraction removes most of that setup when the target site uses background API traffic.
RTILA X watches the network activity of the page you are viewing. When it sees JSON responses that contain arrays of similar objects, it treats those arrays as potential datasets. It then generates extraction commands and previews the detected structure. You confirm the fields you want, and the automation is ready.
How Detection Works
The interception layer observes XHR and Fetch requests without modifying the page. When a response arrives, RTILA X parses the JSON, scans for arrays, and checks whether each array contains objects with consistent keys. That pattern usually indicates a list of records: products, users, articles, or search results.
RTILA X then proposes a dataset based on those objects. Nested objects may be flattened into columns automatically, and common fields receive sensible names. You can review the proposal and adjust column names before saving the extraction command.
No Manual API Reverse Engineering
You do not need to identify API endpoints, read network tabs, or reconstruct query parameters. The interception layer works with the traffic the page itself creates during normal browsing. This avoids many of the technical steps that make API-based scraping intimidating.
The result is still transparent. The generated workflow includes the extraction commands and field mappings, so you can see exactly how the data was captured. If the site changes its API shape later, you can update those commands just like any other workflow.
When Selectors Are Still Useful
Zero-config extraction is not intended to replace selector-based scraping. Some sites render everything server-side and do not use obvious API arrays. Others hide important fields in HTML that never appears in network responses. In those cases, the dataset builder and visual selectors remain the right approach.
The best workflows often use both. Start with zero-config to capture the bulk API-backed data, then add selector-based fields for the few values that are only visible in the rendered page. This gives you speed without sacrificing coverage.