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Tags: Automation, bots, and scraping
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1–24 of 25 · Most stars

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 50+ tests passed.

🗃 Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...

  • pocket
  • wget
  • browser-bookmarks
  • pinboard

Translated🎬 A bot and website for 人人影视 (YYeTs, "everyone's film and TV"), containing all of 人人影视's resources as well as the cloud drive shares of many netizens

Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML

xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows, macOS, and Excel on the web.

Playwright that anti-bots cannot see, so no captchas: same API, anti-detect stealth headless Firefox, undetected fingerprint, bypass bot detection, Python web scraping and browser automation.

  • datadome
  • perimeterx
  • akamai
  • antidetect-browser

TranslatedAutomatically claims the daily check-in points and all Growth Center rewards for WorkBuddy / Qoder CN — Buddy travel gifts, dispatching Buddy, opening blind boxes, claiming tasks, consecutive-login redemption, and make-up check-ins for broken login streaks are all covered. No extra dependencies to install; with one sentence, you can have AI automatically set up a Windows / macOS scheduled task, running silently with zero Token usage.

MERK is an open source, cross-platform, multiple-document interface GUI IRC client for Windows, Linux, and macOS written in Python, PyQt5, and Twisted.

  • python3
  • pyqt5
  • gplv3
  • irc-client

AWSDoor is a red team automation tool designed to simulate advanced attacker behavior in AWS environments