When a visual web scraper detects a change on a regulatory portal, it outputs the modified information as a raw text string wrapped inside a structured JSON (JavaScript Object Notation) data payload. For non-technical operators, receiving a wall of raw code containing nested brackets and variables can cause immediate operational paralysis.
To turn this raw payload into an actionable training task inside your company manual, you must use middleware to cleanly parse the text. Here is the exact architectural setup:
First, inside your Make.com environment, set up an inbound custom webhook module to act as your data gateway. Copy the unique webhook URL provided by Make and paste it directly into the notification settings of your visual scraper (such as Hexomatic). Configure the scraper to execute an HTTP POST request to this URL the exact second a text mutation occurs on the targeted page.
Second, run a test execution to allow Make to automatically determine the data structure. The incoming JSON string will typically break down into key-value pairs, including variables like {{scraped_text}}, {{source_url}}, and {{timestamp}}.
Third, link this module straight to the native Trainual integration module inside Make. Select the action block labeled Create a Content Topic. Map the parsed {{scraped_text}} directly into the body description container of your Trainual topic, and insert the {{source_url}} as a mandatory validation link. By establishing this exact structural bridge, raw internet data is automatically converted into clean, human-readable employee training cards without a single manual copy-paste intervention.