Apify
import.io
Scrapy
ParseHub
Octoparse
Zyte
Bright Data
Data Miner
Azure DevOps
Jenkins
CircleCI
Travis CI
Helix ALM
Git
GitLab
GitHub
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 Azure DevOpsBased on our record, Azure DevOps should be more popular than Apify. It has been mentiond 99 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 / 19 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 / 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 / 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
Although, I never saw a public announcement of this discontinuation, ADO is kind of abandoned AFAICT and even their landing page hints to use GitHub Enterprise instead [1]. [1] https://azure.microsoft.com/en-us/products/devops. - Source: Hacker News / 2 months ago
Azure DevOps is a comprehensive set of tools and services provided by Microsoft. It is one of the most used DevOps AI tools when integrated with Azure’s AI and machine learning services. This integration enhances CI/CD processes, test automation, and infrastructure management. - Source: dev.to / 2 months ago
By default ACI deploys containers from a registry, which means if you want to setup a CI/CD pipeline, you need to configure some addional services like Azure Container Registry to store your images and Azure DevOps to build your images. - Source: dev.to / 2 months ago
Microsoft's Azure DevOps team saw 80% fewer customer-reported bugs in 6 months with automated testing. - Source: dev.to / 7 months ago
Azure DevOps: Comprehensive CI/CD by Microsoft for software delivery. - Source: dev.to / 8 months ago
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.
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
Scrapy - Scrapy | A Fast and Powerful Scraping and Web Crawling Framework
CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.
ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.
Travis CI - Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CI’s precision syntax—all with the developer in mind.