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.
Apify might be a bit more popular than JUnit. We know about 26 links to it since March 2021 and only 20 links to JUnit. 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.
Originally a simple tool designed to facilitate unit testing in Java, JUnit has grown into an indispensable component of the developer’s toolkit. Its evolution is a testament to its flexible, modular design and the contributions from volunteer developers across the globe. The ecosystem surrounding JUnit is well-documented in its active GitHub repository for JUnit 5 and on the official JUnit 5 website. The... - Source: dev.to / 2 months ago
Testing is a critical component of software development, ensuring that code is reliable and functions as intended. Utilizing testing frameworks like JUnit for Java or pytest for Python can greatly enhance the reliability of your code. Effective debugging methods are also crucial for quickly resolving issues. - Source: dev.to / 3 months ago
Testing is critical to maintaining the reliability of your SDK. For Java, tools Like JUnit and Mockito are Standard for unit testing and mocking. JUnit provides a simple, structured way to write tests, while Mockito allows you To mock objects in tests, which is particularly useful for API-driven SDKs where you need to simulate API responses. - Source: dev.to / 7 months ago
Introduction: JUnit is a widely recognized testing framework for Java applications. Known for its simplicity and utility, it also adapts well for testing APIs, allowing developers to leverage familiar tools. - Source: dev.to / 9 months ago
Unlike I expected, setting up the project with Junit proved to be really time-consuming for me. - Source: dev.to / over 1 year ago
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 / 7 days 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 / about 2 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 / 8 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 / 9 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 / 10 months ago
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