Based on our record, GitHub Actions should be more popular than Scrapy. It has been mentiond 277 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.
If you have chosen to host some of your codebases on Github, you should know that there is a built-in tool allowing you to implement CI/CD workflows, called Github Actions. - Source: dev.to / 13 days ago
To realize continuous integration in practice, we rely on version control systems(VCS) such as Git, code repositories such as GitHub, and build automation tools such as GitHub Actions. - Source: dev.to / 21 days ago
GitHub, as one of the leading web-based Git repository hosting service, provides a powerful suite of CI/CD tools in the form of GitHub Actions. These are directly integrated into the platform which empowers developers to increase the speed, efficiency and reliability of delivering products. In this brief article, we will take a look at what CI/CD is, why we should use it, as well as some of its applications in my... - Source: dev.to / about 1 month ago
GitHub Actions is a modern CI/CD tool integrated natively on GitHub. Itenables the rapid automation of build, test, deployment, and other custom workflows on GitHub with no need for external tools. - Source: dev.to / about 1 month ago
GitHub Actions is GitHub's CI/CD solution. You can use it to run automated tasks each time you change your code. Although the platform lacks a built-in Kubernetes integration, third-party plugins such as Azure's Deploy to Kubernetes Cluster action can automate deployments and manage different rollout strategies. - Source: dev.to / about 2 months ago
Scrapy is an open-source Python-based web scraping framework that extracts data from websites. With Scrapy, you create spiders, which are autonomous scripts to download and process web content. The limitation of Scrapy is that it does not work very well with JavaScript rendered websites, as it was designed for static HTML pages. We will do a comparison later in the article about this. - Source: dev.to / 19 days ago
While there is no specific library for SERP, there are some web scraping libraries that can do the Google Search Page Ranking. One of them which is quite famous is Scrapy - It is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It offers rich developer community support and has been used by more than 50+ projects. - Source: dev.to / 6 months ago
If you're looking for a turn-key solution, I'd have to dig a little. I generally write a scraper in python that dumps into a database or flat file (depending on number of records I'm hunting). Scraping is a separate subject, but once you write one you can generally reuse relevant portions for many others. If you can get adept at a scraping framework like Scrapy you can do it fairly quickly, but there aren't many... - Source: Hacker News / 11 months ago
I know this might not be a good answer, as it's not .NET, but we use https://scrapy.org/ (Python). Source: 12 months ago
Take a look at Scrapy. It has a fairly advanced throttling mechanism for you to not get banned. Source: almost 1 year ago
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Wildfire - With Wildfire, companies & agencies can easily build & launch social media marketing campaigns within minutes. Campaign formats include quizzes, contests, coupons, virtual gifts and more.
Scraper API - Easily build scalable web scrapers
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.