Scrape and analyze Dark Web data with Robin AI and ChatGPT | Alpha | PandaiTech

Scrape and analyze Dark Web data with Robin AI and ChatGPT

How to use the Robin AI interface to search the dark web, filter for real threats using AI, and export the findings to Markdown.

Learning Timeline
Key Insights

Handling Tor Latency

The web app may load before the Tor network is fully connected. If searches yield no results initially, click 'Stop' in the interface, wait a few moments for the connection to stabilize ('let it bake'), and retry the search.

AI Filtering vs. Dead Links

While the AI drastically reduces noise (filtering hundreds of results down to a few dozen), expect that some generated links may still be dead or 'bad' due to the volatile nature of Dark Web hosting.

Export Format Compatibility

The export function generates a Markdown file specifically optimized for import into knowledge base tools like Obsidian.
Step by Step

Executing AI-Driven Dark Web Investigations

  1. Launch the Robin AI application and wait for the terminal to confirm the 'handshake' connection to the Tor network.
  2. Open a standard web browser and navigate to the local host URL (typically `localhost:8501`).
  3. Select the desired Large Language Model (LLM) from the left-hand sidebar options.
  4. Input a broad threat intelligence keyword (e.g., 'ransomware') into the center search bar.
  5. Allow the system time to execute the 'Refining Query' and 'Scraping' phases, where the AI automatically filters raw results (e.g., reducing 900+ hits to relevant entries).
  6. Review the 'Investigation' panel to analyze the AI-generated report, including threat actor profiles, service pricing, and suggested mitigation steps.
  7. Click the 'Download' button located near the summary to export the findings as a Markdown file.

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