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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Based on our record, Apify should be more popular than Colly. It has been mentiond 26 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 1 month 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 / 9 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
In this blog, we will be covering the basics of web scraping in Go using the Fiber and Colly frameworks. Colly is an open-source web scraping framework written in Go. It provides a simple and flexible API for performing web scraping tasks, making it a popular choice among Go developers. Colly uses Go's concurrency features to efficiently handle multiple requests and extract data from websites. It offers a wide... - Source: dev.to / over 2 years ago
I wrote a script in Go to scrape jobs from these companies. If you are interested in writing scraper with Go, check out http://go-colly.org/ a potent tool for scraping in Go. I scrape every day just to keep up to date with the jobs. Source: over 2 years ago
In addition the article mention that "Also, C++ is not good for creating web crawlers, is programming language is great for simple web scraping" but in reality when you need a fast and performant crawler C++ will be beat languages like ruby and python from performance perspective , the same for golang programming language which will perform better most of the programming languages written on the article and has... Source: almost 3 years ago
Strange that the author didn’t mention the most popular and, frankly, convenient way: Colly. Source: almost 3 years ago
I’m not sure about “best” but I’ve been using Colly (written in Go) and it’s been pretty slick. Haven’t run in to anything it can’t do. http://go-colly.org/. - Source: Hacker News / almost 3 years ago
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