Pyto VS Apify
Compare Pyto VS Apify and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
featured
Pyto
Koder Code Editor
Juno Connect
GitNotebooks
Textastic
Juno
Buffer Editor
Pythonista
Apify
import.io
Scrapy
ParseHub
Octoparse
Zyte
Bright Data
Data Miner
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.
ApifyNo features have been listed yet.
Based on our record, Apify seems to be a lot more popular than Pyto. While we know about 26 links to Apify, we've tracked only 1 mention of Pyto. 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.
Pythonista is nicer but ships older Python: https://omz-software.com/pythonista/ Pyto is maybe less approachable but more up to date, with clang compiler and LLVM bitcode interpreter: https://pyto.app/ Juno is Python notebooks: https://juno.sh/https://juno.sh/ In general I prefer Blink Code: https://docs.blink.sh/advanced/code. - Source: Hacker News / 10 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 / 2 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 1 month 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 / 8 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
Koder Code Editor - Koder Code comes with Syntax highlighting for PHP, HTML, CSS, JavaScript, SQL, JavaScript, Delphi, Visual Basic, Diff, Erlang, Groovy, Powershell, Latex, Scala etc.
import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.
Juno Connect - Connect to Jupyter servers and cloud-computing services from your iPad or iPhone
Scrapy - Scrapy | A Fast and Powerful Scraping and Web Crawling Framework
GitNotebooks - Jupyter Notebook Reviews Done Right!
ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.