r-web-scraping-cheat-sheet | Guide , reference and cheatsheet on web | Learning library

 by   yusuzech R Version: Current License: MIT

kandi X-RAY | r-web-scraping-cheat-sheet Summary

kandi X-RAY | r-web-scraping-cheat-sheet Summary

r-web-scraping-cheat-sheet is a R library typically used in Tutorial, Learning applications. r-web-scraping-cheat-sheet has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Guide, reference and cheatsheet on web scraping using rvest, httr and Rselenium.
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            kandi-support Support

              r-web-scraping-cheat-sheet has a low active ecosystem.
              It has 344 star(s) with 97 fork(s). There are 22 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of r-web-scraping-cheat-sheet is current.

            kandi-Quality Quality

              r-web-scraping-cheat-sheet has 0 bugs and 0 code smells.

            kandi-Security Security

              r-web-scraping-cheat-sheet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              r-web-scraping-cheat-sheet code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              r-web-scraping-cheat-sheet is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              r-web-scraping-cheat-sheet releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            r-web-scraping-cheat-sheet Key Features

            No Key Features are available at this moment for r-web-scraping-cheat-sheet.

            r-web-scraping-cheat-sheet Examples and Code Snippets

            No Code Snippets are available at this moment for r-web-scraping-cheat-sheet.

            Community Discussions

            QUESTION

            R / Rvest / RSelenium: scrape data from JS Sites
            Asked 2020-Sep-13 at 12:24

            I am new to the web scraping topic with R and Rvest. With rvest you can scrape static HTML but I have found out that rvest struggeling to scrape data from heavy JS based Sites.

            I found some articels or blog posts but they seems depricated like https://awesomeopensource.com/project/yusuzech/r-web-scraping-cheat-sheet

            In my case i want scrape odds from Sport Betting Sites but with rvest and SelectorGadget this isnt possible in my Opinion because of the JS.

            There is an Articel from 2018 about scraping Odds from PaddyPower(https://www.r-bloggers.com/how-to-scrape-data-from-a-javascript-website-with-r/) but this is out dated too, because PhantomJS isnt available anymore. RSelenium seems to be an option but the repo has many issues https://github.com/ropensci/RSelenium.

            So is it possible to work with RSelenium in its current state or what options do I have instead of RSelenium?

            kind regards

            ...

            ANSWER

            Answered 2020-Sep-13 at 12:24

            I've had no problems using RSelenium with the help of the wdman package, which allowed me to just not bother with Docker. wdman also fetches all binaries you need if they aren't already available. It's nice magic.
            Here's a simple script to spin up a Selenium instance with Chrome, open a site, get the contents as xml and then close it all down again.

            Source https://stackoverflow.com/questions/63869578

            QUESTION

            Scraping Javascript-Rendered Content in R from a Webpage without Unique URL
            Asked 2020-Apr-13 at 22:56

            I want to scrape historical results of South African LOTTO draws (especially Total Pool Size, Total Sales, etc.) from the South African National Lottery website. By default one sees links to results for the last ten draws, or one can select a date range to pull up a larger set of links to draws (which will still display only ten per page).

            Hovering in the browser over a link e.g. 'LOTTO DRAW 2012' we see javascript:void(); so it is clear that the draw results will be rendered using Javascript. Reading advice on an R Web Scraping Cheat Sheet, I realized that I needed to open Google Chrome Developer tools, then open Network tab, and then click the link to the draw 'LOTTO DRAW 2012'. When I did so, I could see that this url is being called with an initiator

            When I right-click on the initiator and select 'Copy Response', I can see the data I need inside a 'drawDetails' object in what appears to be JSON code.

            ...

            ANSWER

            Answered 2020-Apr-13 at 20:57

            You are right - the contents on the page are updated by javascript via an ajax request. The server returns a json string in response to an http POST request. With POST requests, the server's response is determined not only by the url you request, but by the body of the message you send to the server. In this case, your body is a simple form with 3 fields: gameName, which is always LOTTO, isAjax which is always true, and drawNumber, which is the field you want to vary.

            If you are using httr, you specify these fields as a named list in the body parameter of the POST function.

            Once you have the response for each draw, you will want to parse the json into an R-friendly format such as a list or data frame using a library such as jsonlite. From looking at the structure of this particular json, it makes most sense to extract the component $data$drawDetailsand make that a one-row dataframe. This will allow you to bind several draws together into a single data frame.

            Here is a function that does all that for you:

            Source https://stackoverflow.com/questions/61187053

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install r-web-scraping-cheat-sheet

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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