hrbrmstr / htmlunit

🕸🧰☕️Tools to Scrape Dynamic Web Content via the 'HtmlUnit' Java Library
Apache License 2.0
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htmlunit javascript r r-cyber rstats web-scraping

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htmlunit

Tools to Scrape Dynamic Web Content via the ‘HtmlUnit’ Java Library

Description

‘HtmlUnit’ (https://htmlunit.sourceforge.net/) is a “‘GUI’-Less browser for ‘Java’ programs”. It models ‘HTML’ documents and provides an ‘API’ that allows one to invoke pages, fill out forms, click links and more just like one does in a “normal” browser. The library has fairly good and constantly improving ‘JavaScript’ support and is able to work even with quite complex ‘AJAX’ libraries, simulating ‘Chrome’, ‘Firefox’ or ‘Internet Explorer’ depending on the configuration used. It is typically used for testing purposes or to retrieve information from web sites. Tools are provided to work with this library at a higher level than provided by the exposed ‘Java’ libraries in the ‘htmlunitjars’ package.

What’s Inside The Tin

The following functions are implemented:

DSL

Just the Content (pls)

Content++

Installation

install.packages("htmlunit", repos = c("https://cinc.rud.is", "https://cloud.r-project.org/"))
# or
remotes::install_git("https://git.rud.is/hrbrmstr/htmlunit.git")
# or
remotes::install_git("https://git.sr.ht/~hrbrmstr/htmlunit")
# or
remotes::install_gitlab("hrbrmstr/htmlunit")
# or
remotes::install_bitbucket("hrbrmstr/htmlunit")
# or
remotes::install_github("hrbrmstr/htmlunit")

NOTE: To use the ‘remotes’ install options you will need to have the {remotes} package installed.

Usage

library(htmlunit)
library(tidyverse) # for some data ops; not req'd for pkg

# current verison
packageVersion("htmlunit")
## [1] '0.5.0'

Something xml2::read_html() cannot do, read the table from https://hrbrmstr.github.io/htmlunitjars/index.html:

test_url <- "https://hrbrmstr.github.io/htmlunitjars/index.html"

pg <- xml2::read_html(test_url)

html_table(pg)
## list()

☹️

But, hu_read_html() can!

pg <- hu_read_html(test_url)

html_table(pg)
## [[1]]
##      X1   X2
## 1   One  Two
## 2 Three Four
## 3  Five  Six

All without needing a separate Selenium or Splash server instance.

Content++

We can also get a HAR-like content + metadata dump:

xdf <- wc_inspect("https://rstudio.com")

colnames(xdf)
## [1] "method"         "url"            "status_code"    "message"        "content"        "content_length"
## [7] "content_type"   "load_time"      "headers"

select(xdf, method, url, status_code, content_length, load_time)
## # A tibble: 36 x 5
##    method url                                                                       status_code content_length load_time
##    <chr>  <chr>                                                                           <int>          <dbl>     <dbl>
##  1 GET    https://rstudio.com/                                                              200          14621       495
##  2 GET    https://metadata-static-files.sfo2.cdn.digitaloceanspaces.com/pixel/lp.js         200           3576       221
##  3 GET    https://snap.licdn.com/li.lms-analytics/insight.min.js                            200           1576       162
##  4 GET    https://connect.facebook.net/en_US/fbevents.js                                    200          34269       138
##  5 GET    https://connect.facebook.net/signals/config/151855192184380?v=2.9.23&r=s…         200         134841        66
##  6 GET    https://munchkin.marketo.net/munchkin-beta.js                                     200            752       230
##  7 GET    https://munchkin.marketo.net/159/munchkin.js                                      200           4810        27
##  8 GET    https://x.clearbitjs.com/v1/pk_60c5aa2221e3c03eca10fb6876aa6df7/clearbit…         200          86568       483
##  9 GET    https://cdn.segment.com/analytics.js/v1/gO0uTGfCkO4DQpfkRim9mBsjdKrehtnu…         200          62860       243
## 10 GET    https://static.hotjar.com/c/hotjar-1446157.js?sv=6                                200           1708       212
## # … with 26 more rows

group_by(xdf, content_type) %>% 
  summarise(
    total_size = sum(content_length), 
    total_load_time = sum(load_time)/1000
  )
## # A tibble: 7 x 3
##   content_type             total_size total_load_time
##   <chr>                         <dbl>           <dbl>
## 1 application/javascript       431338           2.58 
## 2 application/json               4118           1.37 
## 3 application/x-javascript     176248           0.623
## 4 image/gif                        35           0.232
## 5 text/html                     16640           1.36 
## 6 text/javascript              254971           0.996
## 7 text/plain                       28           0.189

DSL

wc <- web_client(emulate = "chrome")

wc %>% wc_browser_info()
## < Netscape / 5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.105 Safari/537.36 / en-US >

wc <- web_client()

wc %>% wc_go("https://usa.gov/")

# if you want to use purrr::map_ functions the result of wc_html_nodes() needs to be passed to as.list()

wc %>%
  wc_html_nodes("a") %>%
  sapply(wc_html_text, trim = TRUE) %>% 
  head(10)
##  [1] "Skip to main content"               ""                                   "Español"                           
##  [4] "1-844-USA-GOV1"                     "All Topics and Services"            "About the U.S."                    
##  [7] "American Flag"                      "Branches of the U.S. Government"    "Budget of the U.S. Government"     
## [10] "Data and Statistics about the U.S."

wc %>%
  wc_html_nodes(xpath=".//a") %>%
  sapply(wc_html_text, trim = TRUE) %>% 
  head(10)
##  [1] "Skip to main content"               ""                                   "Español"                           
##  [4] "1-844-USA-GOV1"                     "All Topics and Services"            "About the U.S."                    
##  [7] "American Flag"                      "Branches of the U.S. Government"    "Budget of the U.S. Government"     
## [10] "Data and Statistics about the U.S."

wc %>%
  wc_html_nodes(xpath=".//a") %>%
  sapply(wc_html_attr, "href") %>% 
  head(10)
##  [1] "#content"                "/"                       "/espanol/"               "/phone"                 
##  [5] "/#tpcs"                  "#"                       "/flag"                   "/branches-of-government"
##  [9] "/budget"                 "/statistics"

Handy function to get rendered plain text for text mining:

wc %>% 
  wc_render("text") %>% 
  substr(1, 300) %>% 
  cat()
## Official Guide to Government Information and Services | USAGov
## Skip to main content
## An official website of the United States government Here's how you know
## 
## 
## Main Navigation
## Search
## Search
## Search
## 1-844-USA-GOV1
## All Topics and Services
## Benefits, Grants, Loans
## Government Agencies and Elected Officials

htmlunit Metrics

Lang # Files (%) LoC (%) Blank lines (%) # Lines (%)
R 14 0.70 341 0.72 188 0.70 377 0.82
Java 3 0.15 52 0.11 23 0.09 3 0.01
Rmd 1 0.05 41 0.09 52 0.19 75 0.16
Maven 1 0.05 30 0.06 0 0.00 1 0.00
make 1 0.05 10 0.02 4 0.01 4 0.01

clock Package Metrics for htmlunit

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.