scrapy-playwright VS Scrapy

scrapy-playwright is an integration between Scrapy and Playwright. It enables scraping dynamic web pages with Scrapy by processing the web scraping requests using a Playwright instance.

To integrate Playwright with Scrapy, we will use the scrapy-playwright library. Then, we will scrape https://www.mintmobile.com/product/google-pixel-7-pro-bundle/ to demonstrate how to extract data from a website using Playwright and Scrapy.

Scrapy-playwright

your website is a dynamic there is many integration on scrappy can help you This the best best one https://github.com/scrapy-plugins/scrapy-playwright

This concern should be lifted if you are a Scrapy lover. There is a Scrapy integration for playwright, that gives you a lot of freedom and lets you operate from a Scrapy spider.

Now we need to modify scrapy's settings to allow it to work with playwright. Instructions can be found on playwright's GitHub page. We need to add settings for DOWNLOAD_HANDLERS and TWISTED_REACTOR. New settings that were added can be found between ###. This is what the settings file should look like:

You can use something like scrapy-playwright[0] to run a headless browser framework as your download handler. I think there are versions for some of the other headless systems, if you prefer those.

[0] https://github.com/scrapy-plugins/scrapy-playwright

[1]: https://github.com/scrapy-plugins/scrapy-playwright/issues/61

BeautifulSoup4 Scrapy

While there is no specific library for SERP, there are some web scraping libraries that can do the Google Search Page Ranking. One of them which is quite famous is Scrapy - It is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It offers rich developer community support and has been used by more than 50+ projects.

If you're looking for a turn-key solution, I'd have to dig a little. I generally write a scraper in python that dumps into a database or flat file (depending on number of records I'm hunting).

Scraping is a separate subject, but once you write one you can generally reuse relevant portions for many others. If you can get adept at a scraping framework like Scrapy you can do it fairly quickly, but there aren't many tools that work out of the box for every site you'll encounter.

Once you've written the spider, it's generally able to be rerun for updates unless the site code is dramatically altered. It really comes down to how brittle the spider is coded (i.e. hunting for specific heading sizes or fonts or something) instead of grabbing the underlying JSON/XHR that doesn't usually change frequently.

1. https://scrapy.org

Scrapy capitalizes headers for request

Scrapy is a web scraping toolkit

I know this might not be a good answer, as it's not .NET, but we use https://scrapy.org/ (Python).