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.
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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 / 14 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
Benchmarking: Benchmarking is the process of testing the performance of your application under a specific workload or set of conditions. You can use tools like Apache Bench or Siege to simulate load on your application and measure how it performs. - Source: dev.to / about 1 year ago
While the server creation is still somewhat more imperative in nature, client connections are now handled via an object which inherits off socketserver.BaseRequestHandler. This requires the implementing class to define a handle() method, which for TCP will expose self.request to hold a socket referencing the connection. Now to show multiple connections working I'll utilize the Apache HTTP server benchmarking tool.... - Source: dev.to / almost 2 years ago
Using the example above, I’ll send some traffic to the endpoint using Apache Benchmark. - Source: dev.to / almost 2 years ago
Apache Bench aka "ab" ab -n 1000 -c 100 http://localhost:3000/ 1000 requests with a concurrency of 100 https://httpd.apache.org/docs/2.4/programs/ab.html. - Source: Hacker News / about 2 years ago
Apache Testbench is an option. It's a cli tool that simulate some level of traffic. Source: about 2 years ago
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