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playwrightvsskyvern

Apache-2.0 613 29 86,137
185.2 million (month) Jan 23 2015 1.59.1(2026-04-11 23:54:46 ago)
21,046 17 148 AGPL-3.0
Feb 01 2024 250.9 thousand (month) 1.0.29(2026-04-02 14:42:44 ago)

Playwright is a Node.js library that provides a high-level API to automate web browsers. It allows you to automate browser tasks such as generating screenshots, creating PDFs, and testing web pages by simulating user interactions. Playwright is similar to Puppeteer, but it supports more browsers and it also provide capabilities for automation of browser like Microsoft Edge and Safari.

Playwright is commonly used for web scraping, end-to-end testing, and browser automation.
Playwright is a spiritual successor to Puppeter and is available in more languages and has access to more browser types.

Skyvern is an AI-powered browser automation tool that uses large language models (LLMs) and computer vision to interact with websites. Instead of relying on DOM selectors, Skyvern takes screenshots of web pages and uses visual understanding to identify and interact with elements, making it highly resilient to website changes.

Key features include:

  • Vision-based interaction Uses screenshots and computer vision (multimodal LLMs) to understand page layout and identify interactive elements visually, rather than through DOM inspection alone.
  • No selectors needed Describe tasks in natural language and Skyvern figures out what to click, type, and navigate without CSS selectors or XPath.
  • Complex workflow automation Can handle multi-step workflows like form filling, navigation through menus, file uploads, and multi-page processes.
  • Self-correcting When actions fail, Skyvern can analyze the resulting page state and adjust its approach, recovering from errors autonomously.
  • API-first design Provides a REST API for triggering and managing automation tasks programmatically.
  • Open source with cloud option Core engine is open source and can be self-hosted. Also available as a managed cloud service.

Skyvern is particularly effective for automating tasks on websites with complex or dynamic UIs where traditional selector-based automation breaks frequently. It achieved 85.85% accuracy on the WebVoyager benchmark.

Highlights


ai-powerednatural-languageanti-detect

Example Use


```javascript const { chromium } = require('playwright'); (async () => { const browser = await chromium.launch(); const context = await browser.newContext(); const page = await context.newPage(); await page.goto('https://www.example.com/form'); // fill in the form await page.fill('input[name="name"]', 'John Doe'); await page.fill('input[name="email"]', 'johndoe@example.com'); await page.selectOption('select[name="country"]', 'US'); // submit the form await page.click('button[type="submit"]'); // wait for the page to load after the form is submitted await page.waitForNavigation(); // take a screenshot await page.screenshot({path: 'form-submission.png'}); await browser.close(); })(); ```
```python import requests # Skyvern runs as a service - interact via REST API SKYVERN_API = "http://localhost:8000/api/v1" # Create a task with natural language instructions task = requests.post( f"{SKYVERN_API}/tasks", json={ "url": "https://example.com/contact", "navigation_goal": "Fill out the contact form with test data and submit it", "data_extraction_goal": "Extract the confirmation message after submission", "navigation_payload": { "name": "John Doe", "email": "john@example.com", "message": "Hello, this is a test message", }, }, ).json() task_id = task["task_id"] # Check task status result = requests.get(f"{SKYVERN_API}/tasks/{task_id}").json() print(result["status"]) # "completed" print(result["extracted_information"]) # confirmation message ```

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