Link = (item.Elements().First(i => i.Name.LocalName = "link").Value).StartsWith("/") ? "" + item.Elements().First(i => i.Name.LocalName = "link").Value : item.Elements().First(i => i.Name.LocalName = "link").Value, Var entries = from item in ().First(i => i.Name.LocalName = "channel").Elements().Where(i => i.Name.LocalName = "item")Ĭontent = item.Elements().First(i => i.Name.LocalName = "description").Value, XDocument doc = XDocument.Load("" + authorId + "/rss") We are passing C# Corner author id to this method and get all the author post details from RSS feeds. We have created a “CreatePosts” method inside the API controller. Return BadRequest("Invalid Author Id / Unhandled error. _(_(x => x.AuthorId = authorId)) įoreach (ArticleMatrix articleMatrix in articleMatrices)Īwait _(articleMatrix) _ = int.TryParse(like.InnerText, out int likes) _ = decimal.TryParse(articleMatrix.Views, out decimal viewCount) If (htmlDocument.GetElementbyId("ImgCategory") != null)Ĭategory = htmlDocument.GetElementbyId("ImgCategory").GetAttributeValue("title", "") ĪrticleMatrix.ViewsCount = decimal.Parse(articleMatrix.Views) * 1000000 Įlse if (('k'))ĪrticleMatrix.ViewsCount = decimal.Parse(articleMatrix.Views) * 1000 If (result.StatusCode = HttpStatusCode.OK) Var result = httpClient.GetAsync("").Result Public MyDbContext(DbContextOptions options) MyDbContext.cs using Microsoft.EntityFrameworkCore We can create our DB context class for Entity framework. This class will be used to get information for each article / blog once we get after web scraping.ĪrticleMatrix.cs using We can create an ArticleMatrix class inside the Models folder. This class will be used to get required information from C# Corner RSS feeds.įeed.cs namespace Analyitcs.NET6._0.Models We can create a Feed class inside a Models folder. "ConnStr": "Data Source=(localdb)\\MSSQLLocalDB Initial Catalog=AnalyticsDB Integrated Security=True ApplicationIntent=ReadWrite MultiSubnetFailover=False"ĭatabase connection string will be used by entity framework to connect SQL database and parallel task counts will be used by web scraping parallel foreach code. We can add database connection string and parallel task counts inside the appsettings.
Reddit webscraper install#
We must install the libraries below using NuGet package manger. This will create a swagger documentation for our project. We have also chosen the default Open API support. We have chosen the ASP.NET Core Web API template from Visual Studio and given a valid name to the project. We can use Visual Studio 2022 to create an ASP.NET Core Web API with. Create ASP.NET Core Web API using Visual Studio 2022
Reddit webscraper code#
We will use Entity Framework and code first approach to connect SQL server database. So that we can use this data for future usage like article statistics. We will add this information to an SQL database. We will use HtmlAgilityPack library to crawl the data for each article / blog post and get required information. We can get information like articles / blogs link, published date, title, feed type, author name from these RSS feeds. C# Corner gives RSS feeds for each author. We will use our C# Corner site itself for web scraping. HtmlAgilityPack is a common library used in. Some third-party libraries allow us to scrape data from various sites. Python has various libraries available for web scraping. Python is the most popular language in the current days used for web scraping. In that circumstance, it is best to use web scraping to scrape the site for information. This is often the most excellent choice, but there are other sites that do not allow users to get massive amounts of information in an organized format or they are not that innovatively progressed.
Many websites allow you to get to their information in an organized format. These incorporate using online administrations, specific API’s or indeed making your code for web scraping from scratch. There are many distinctive ways to perform web scraping to get information from websites. Most of this information is unstructured information in an HTML format which is at that point changed over into organized information in a spreadsheet or a database so that it can be used in different applications. Web scraping is a programmed strategy to get enormous amounts of information from websites.
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