Pydoll — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Pydoll. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Apr 10, 2026 • Sentiment updated: May 7, 2026

GitHub Statistics

Community Sentiment

Community Buzz: As one Reddit user noted, 'I successfully used pydoll for those, but you need to test it for your case.' On HackerNews, a user shared a code snippet for bypassing Cloudflare Turnstile captcha using pydoll, stating 'Attempt to bypass Cloudflare Turnstile captcha when detected.',

Pros & Cons

What People Love

Reddit users praise pydoll's effectiveness in data scraping, Dev.to users appreciate pydoll's ability to bypass Cloudflare Turnstile captcha

Common Complaints

No significant complaints in recent discussions

Biggest Positive: Effective data scraping

Biggest Negative: No major issues

Why Pydoll Stands Out

Pydoll stands out from alternative browser automation frameworks due to its async-native and fully typed architecture, which enables fast and reliable browser automation. Its Pydantic-powered extraction engine simplifies data extraction and validation, making it an ideal choice for web scraping and data extraction tasks. Additionally, Pydoll's stealthy automation capabilities and support for shadow DOM and iframes make it a powerful tool for web crawling and browser automation.

Built With

Build a stealthy web scraping bot that evades anti-scraping measures — Pydoll's async-native and fully typed architecture enables fast and reliable browser automation, Build a research agent that extracts structured data from websites — Pydoll's Pydantic-powered extraction engine simplifies data extraction and validation, Build a browser automation framework for testing and quality assurance — Pydoll's high-level API and low-level CDP access provide fine-grained control over browser behavior, Build a web crawling platform that handles shadow DOM and iframes — Pydoll's support for shadow roots and cross-origin iframes enables comprehensive web page analysis, Build a custom browser extension that interacts with web pages — Pydoll's network control and interception capabilities allow for customized browser behavior

Getting Started

  1. Install Pydoll using pip: `pip install pydoll-python`
  2. Import Pydoll in your Python script: `from pydoll.browser import Chrome`
  3. Create a new Chrome browser instance: `async with Chrome() as browser:`
  4. Configure the browser instance to use a specific user agent or browser preferences: `await browser.start()`
  5. Try extracting structured data from a website using Pydoll's extraction engine: `await tab.extract()` to verify it works

About

Pydoll is a library for automating chromium-based browsers without a WebDriver, offering realistic interactions.

Official site: https://pydoll.tech/

Category & Tags

Category: data

Tags: anti-detection, automation, browser-automation, cdp, chromium, crawler, e2e-tests, fingerprinting, headless, playwright, puppeteer, recaptcha-v3, scraping, selenium, testing, testing-tools, turnstile-solver, web-scraping, webdriver

Market Context

pydoll is positioned as a competitor to Selenium in the data scraping market