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, Docker should be more popular than Apify. It has been mentiond 73 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.
The first thing you need is Docker running on your machine. Encore uses this to automatically setup and manage your local databases. - Source: dev.to / 3 months ago
The other config files specify how the app should be containerized, started, and deployed to the cloud. That's the reason why none of them were used to run the app locally just a moment ago. (There is another way to run it locally, with the help of Docker, and we'll take a look at that shortly.) The .*ignore files for this app filter out content that doesn't have anything to do with an app's functionality:. - Source: dev.to / 4 months ago
Docker (You need Docker to run Encore applications with databases locally.). - Source: dev.to / 5 months ago
With this code in place, Encore will automatically create the database using Docker when you run the command encore run locally. - Source: dev.to / 6 months ago
This recipe allows you to deploy your app in a redistributable, virtualized, os agnostic, self-contained and self-configured software image and run it in virtualization engines such as Docker or Podman. It even includes things out of the box like the supervisor's tidy configuration for handling your queues, nice defaults for php, opcache and php-fpm, nginx, etc. - Source: dev.to / 8 months 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 / 9 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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