Deep Web Research FAQs

Question 1

What are the key features of Deep Web Research?

Accepted Answer

Key features include an intelligent search queue system with rate limiting, enhanced content extraction with TF-IDF relevance scoring, Google search integration, webpage content extraction, a 'visit webpage' tool with Markdown conversion, and an agentic research prompt for guided research.

Question 2

How does Deep Web Research integrate with Claude?

Accepted Answer

After installation, Deep Web Research can be configured in Claude's `claude_desktop_config.json` file, allowing Claude to automatically start the web research server when needed. You can then use the `deep_research`, `parallel_search`, and `visit_page` tools within Claude.

Question 3

What are the prerequisites for using Deep Web Research?

Accepted Answer

You need Node.js version 18 or higher and the Claude Desktop app. After installation, you also need to run `npx playwright install chromium` to install the necessary browser dependencies.

Question 4

What is Deep Web Research?

Accepted Answer

Deep Web Research enhances web research capabilities for Large Language Models (LLMs) by providing intelligent search queuing, advanced content extraction, and seamless integration, enabling more comprehensive and insightful data collection from the web.

Question 5

How can I resolve rate limiting issues?

Accepted Answer

If you encounter 'Too many requests' errors, try increasing the `SEARCH_DELAY_MS` environment variable or decreasing the `MAX_PARALLEL_SEARCHES` variable. This will reduce the frequency of search requests.

Deep Web Research

Deep Web Research

Key Features

Use Cases

Key Features

Use Cases