niespodd

    niespodd/browser-fingerprinting

    Analysis of Bot Protection systems with available countermeasures 🚿. How to defeat anti-bot system πŸ‘» and get around browser fingerprinting scripts πŸ•΅οΈβ€β™‚οΈ when scraping the web?

    automation
    abck
    arkose
    aws-waf-token
    bot
    bot-detection
    JavaScript
    5.2K stars
    278 forks
    5.2K GitHub watchers
    Updated Oct 28, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 4 contributors on GitHub.

    Gained 69% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Analyzes anti-bot protection systems and provides countermeasures to bypass browser fingerprinting and bot detection during web scraping.
    • Offers detailed, practical guidance and curated tools to evade advanced bot detection techniques, enabling more reliable and stealthy scraping.
    • Use for developing web scrapers that need to bypass sophisticated browser fingerprinting on e-commerce and social media sites.
    • Use for selecting and integrating proxy and captcha-solving services to handle geographically restricted or JavaScript-protected websites.
    • Use for researching and testing anti-bot evasion strategies and stealth browser configurations to improve automation reliability.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    No license detected

    No license file detected by GitHub: unless the project grants one elsewhere, the default is all rights reserved.

    Community files

    • README: present

    Watch-outs

    • Warning: No license file detected by GitHub: unless the project grants one elsewhere, you generally have no permission to use, modify or distribute the code.
    • No GitHub releases; pin a commit or tag instead of a release.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    This repository's development would not have been possible without the support of many partners and sponsors. One of these partners is ScrapingBee, which is a cloud web scraping service with some neat built-in anti-bot detection features.

    ScrapingBee - Sign up for a free trial and get -10% on the first invoice with code "NIESPODD"

    Whether you're just starting to build a web scraper from scratch and wondering what you're doing wrong because your solution isn't working, or you've already been working with crawlers for a while and are stuck on a page that gives you an error saying you're a bot, you can't go any further, keep reading.

    Anti-bot solutions have evolved in recent years. More and more websites are introducing security measures: from simple ones, such as filtering IP addresses according to their geolocation, to advanced ones based on in-depth analysis of browser parameters and behavioral analysis. All this makes web scraping content more difficult and costly than a few years ago. Nevertheless, it is still possible. Here I highlight a few tips that you may find helpful.

    Excerpt from the niespodd/browser-fingerprinting README on GitHub. Β© its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    278+4

    Open issues

    15+5

    Compared with peers in Automation

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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    Category median22.7K+3.0K60β€”

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