Apify is a JavaScript & Node.js based data extraction tool for websites that crawls lists of URLs and automates workflows on the web. With Apify you can manage and automatically scale a pool of headless Chrome / Puppeteer instances, maintain queues of URLs to crawl, store crawling results locally or in the cloud, rotate proxies and much more.
Based on our record, .NET should be more popular than Apify. It has been mentiond 51 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For deployment, we'll use the Apify platform. It's a simple and effective environment for cloud deployment, allowing efficient interaction with your crawler. Call it via API, schedule tasks, integrate with various services, and much more. - Source: dev.to / about 2 months ago
We already have a fully functional implementation for local execution. Let us explore how to adapt it for running on the Apify Platform and transform in Apify Actor. - Source: dev.to / 3 months ago
We've had the best success by first converting the HTML to a simpler format (i.e. markdown) before passing it to the LLM. There are a few ways to do this that we've tried, namely Extractus[0] and dom-to-semantic-markdown[1]. Internally we use Apify[2] and Firecrawl[3] for Magic Loops[4] that run in the cloud, both of which have options for simplifying pages built-in, but for our Chrome Extension we use... - Source: Hacker News / 10 months ago
Developed by Apify, it is a Python adaptation of their famous JS framework crawlee, first released on Jul 9, 2019. - Source: dev.to / 10 months ago
Hey all, This is Jan, the founder of [Apify](https://apify.com/)—a full-stack web scraping platform. After the success of [Crawlee for JavaScript](https://github.com/apify/crawlee/) today! The main features are: - A unified programming interface for both HTTP (HTTPX with BeautifulSoup) & headless browser crawling (Playwright). - Source: Hacker News / 11 months ago
1.Dot net is the most performant framework 2.EF Core has gotten better and provides a slew of performance steps 3.PostgreSQL is a powerful, open source object-relational database that safely stores and scales the most complicated data workloads. 4.Delta An efficient approach to implementing a 304 Not Modified leveraging DB change tracking. - Source: dev.to / 4 days ago
Editing PDF files programmatically is a common requirement in enterprise applications — whether you're modifying invoices, generating reports, or enabling users to fill and save forms. The .NET ecosystem lacks native support for advanced PDF editing, which makes third-party libraries crucial. - Source: dev.to / about 1 month ago
Dotnet (.NET 9 is used for this article) and C# decompiler. - Source: dev.to / 3 months ago
C# was developed by Microsoft in the early 2000s as part of its .NET initiative, led by Anders Hejlsberg. Originally designed as an alternative to Java, C# evolved into a powerful language for Windows applications, backend services, game development (via Unity), and cloud computing. The introduction of .NET Core made C# fully cross-platform, allowing it to run on Windows, Linux, and macOS. - Source: dev.to / 4 months ago
This blog post details how to implement social authentication and provide users with several social login options and how we can handle the users' data obtained as a result of these logins in our application. In this blog post, we’ll look at how we can integrate Google and Facebook login authentications. We will see how this can be implemented from the server side of an application using .NET 6; Microsoft's own... - Source: dev.to / 10 months ago
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