Stop getting 403 Forbidden. A specialized httpx-like toolkit for WAF evasion.

DarkMatter - A high-performance web-security and proxy validation tool

Scrapers for MLS real estate data with escalating anti-bot strategies: from HTTP requests to managed browsers, bypassing CAPTCHAs and blocks.

Multi-engine web search CLI — queries Google, DuckDuckGo, Brave, Yahoo, Mojeek, Startpage, and Presearch in parallel with browser impersonation. Async API, no API keys required.

High-performance Google Maps scraper using Grid Search algorithm & Docker. Extracts unlimited business leads with 100% coverage. Bypasses limits via geospatial tiling.

Browserless scraper for O'Reilly Auto Parts — Bypasses Akamai Bot Manager v2 using TLS fingerprint impersonation (curl_cffi)

Asynchronous library for browser‑like HTTP scenarios with controlled offline rendering and two‑way state transfer.

Massively parallel async web scraper through Tor — 230K pages/hr peak, 1.2M pages scraped, <1% Cloudflare block rate. HTTP/2 multiplexed, browser TLS fingerprints, adaptive WAF throttling.

F-14 Tomcat: An advanced, high-speed NoSQL injection framework. Features WAF evasion (JA3/TLS impersonation), binary search extraction, and auto-authentication.

A blazingly fast FastAPI wrapper for some hentai website metadata. Because apparently they don't have an official API. Features CloudFlare bypass, async scraping, and questionable life choices.

Async web scraping tool for HTTP and browser-based scraping

18K+ products scraped from Alibaba's Goofish — MTOP SDK bypass with curl_cffi TLS impersonation and Playwright hybrid approach

22.do temporary mailbox client with pure-request inbox polling via Python and Node.js

A minimal, reproducible setup to call curl_cffi from Node.js using gRPC

Descargador de videos multiplataforma

Efficient and reliable Discord username validation with alot of filters.

A Python TUI/CLI/API for movie torrent and subtitle search. Uses curl_cffi and Textual.

This is the part 1 of a GraphRAG system, which implements the Data Pipeline orchestrated by Dagster, where the data is ingested from multiple sources for building a knowledge graph in Neo4j Aura and an embedding model in Pinecone. The domain: ‘Electronic’ music genre. Contact me to see a demo.

This is the part 2 of a GraphRAG system, in which the user interacts with the data through 2 data structures: vector database (Pinecone) and graph database (Neo4j). I leverage the probabilism of vector embedding and the determinism of a knowledge graph to minimize hallucination and maximise explainability. The domain: ‘Electronic’ music genre.