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This repository contains the idea that I have done to scrap web pages and use those data for real time analysis

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KannaVenkatesan/Web-Scrapping-using-R

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Web-Scrapping-using-R

Installing all required packages Run the following lines first in R console to install required packages:

for (pkg in c("rvest","httr","dplyr","stringr","XML","RCurl","ggplot2","reshape","tm","ggmap")){ if (!pkg %in% rownames(installed.packages())){install.packages(pkg)} } Checking out this repository Then, in RStudio,

Tutorials

*EPS trend difference by industry from Yahoo Finance (yahoo-finance.rmd) by @jasminehao *Basic principles of web scraping by URL patterns and HTML parsers.

*Real-time data mining from Yahoo Finance (yahoo-realtime.rmd) by @jasminehao *Web scraping for data that are chaging real-time.

*Economic literature analysis from AER abstracts (aer-articles.rmd) by @chiyahn *HTML/CSS analysis using SelectorGadget and developer tools for rvest & principles of basic text analysis with beautiful wordclouds.

*Cross-industry firm location differences from SEC website (sec-location.rmd) by @chiyahn and @jasminehao *Web scraping from query-based webpages and geocoding.

Resources

Relevant R packages and developer tools:

rvest (HTML parsing): https://github.com/hadley/rvest tm (text mining and analysis): http://tm.r-forge.r-project.org/ SelectorGadget (HTML/CSS analysis): https://selectorgadget.com/

Useful R packages for data cleaning:

PSID: https://github.com/floswald/psidR The World Wealth and Income Database: https://github.com/WIDworld/wid-r-tool The Survey of Professional Forecasters: https://github.com/joergrieger/Survey

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This repository contains the idea that I have done to scrap web pages and use those data for real time analysis

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