Stealth Fetch FAQs

Question 1

What level of control does Stealth Fetch provide over network requests?

Accepted Answer

Stealth Fetch gives users extensive control over `curl_cffi` session and per-request options. You can customize headers, proxies, timeouts, follow redirects, set specific HTTP versions, and even apply low-level CurlOpt overrides for precise request tuning.

Question 2

How does Stealth Fetch handle website blocking and detection?

Accepted Answer

It leverages `curl_cffi` to mimic the TLS/HTTP fingerprints of real web browsers (e.g., Chrome). This makes its requests appear legitimate, significantly reducing the chances of detection and blocking compared to standard Python HTTP libraries.

Question 3

What types of content can Stealth Fetch extract from websites?

Accepted Answer

Stealth Fetch offers specialized tools to extract various content types, including raw HTML, cleaned readability-style text, JSON from APIs (GET/POST), links with filtering, metadata (Open Graph, Twitter Cards, JSON-LD), HTML tables, and structured data from RSS/Atom feeds.

Question 4

What is Stealth Fetch?

Accepted Answer

Stealth Fetch is a Python MCP server designed for resilient web content fetching and parsing. It uses browser-grade TLS fingerprint impersonation via `curl_cffi` to bypass common website blocking and ensure reliable data extraction.

Question 5

Can I fetch multiple URLs concurrently with Stealth Fetch?

Accepted Answer

Yes, the `stealth_fetch_bulk` tool is specifically designed for concurrent fetching of multiple URLs. It includes features like error isolation, configurable concurrency limits, and delays to manage requests efficiently and robustly.

Stealth Fetch

Stealth Fetch

Key Features

Use Cases

Key Features

Use Cases