![]() In order to get these details, we need to find the CSS Selectors for the data points. # Pythonįrom playwright.async_api import async_playwrightĬonst )įrom each product listing, we need to extract the following data points: Here in this article, we used asynchronous Playwright. But Node.js is asynchronous in nature, and hence Playwright only supports asynchronous operations in Node.js. In Python, Playwright supports both synchronous and asynchronous operations. Source Code on Github You can view the complete code here: Python: Javascript: Import the required libraries: We will collect the following data points: Let’s create a scraper using Playwright to scrape data of the first 3 listing pages from. ![]() How to build web scrapers quickly using Playwright Codegen Building a scraper You can also use playwright codegen to record actions and turn that into code. Npm install csv writer npm i objects-to-csv Install the required browsers: playwright install Install the python package: pip install playwright You can also read: How to Scrape Google Maps: Code and No-Code Approach Installation Python: ![]() ![]() We can also set up cookies, user agent, viewport, proxy, and enable/disable javascript for individual contexts. This delivers full test isolation with zero overhead. This is useful when performing multi-user functionality and web scraping with complete isolation. Browser context is equivalent to a brand new browser profile.
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