<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/66f138e14bff455caea7519a638d58fd&quot; frameborder=&quot;0&quot; width=&quot;1096&quot; height=&quot;822&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>822</height><width>1096</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>822</thumbnail_height><thumbnail_width>1096</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/66f138e14bff455caea7519a638d58fd-ed23ddf9969911eb.gif</thumbnail_url><duration>266.189</duration><title>Self Healing Web Scraper with Bright Data</title><description>This Loom demonstrates Scrapverse, a self-healing web data extraction scraper built by Team Hakkaholex. It uses Bright Data Scraper terminals to run collectors and return collector IDs, then detects silent data failures, diagnoses why extraction breaks, and automatically switches extraction strategies to repair results without changing downstream pipelines. The system includes a Demo UI showing records, counts, health, and streaming progress logs, plus an option to run a modified collector with “save broken” to compare before and after health deltas and download a healed JSON. The video also mentions a README for quick local setup and a feature to run “AI heal” with expandable CLI logs and an explain plan.</description></oembed>