Scraping dynamic table in R with POST

Question

I\'m trying to scrape this table using R. So far, I\'ve managed to get only 27 lines of it, using the code below. I would like to get all the entries back and, ideally, modi

Answer 1

The table in question has a "Export to CSV" link:

If you click on it, you get the 6.36MB CSV file directly, which is good. I'm assuming that you need/want to do this programmatically, so this worked for me:

Steps to Programmatically "Click Export-to-CSV"

1. I'm using Firefox, but Chrome has a similar capability: Inspector. I opened it (Ctrl-Shift-I) and went to the "Network" tab.
2. Click on the "Export to CSV" button. You should see a new "POST" line in the inspector frame. When it's complete ...

3. Right-click on the "POST" line and select "Copy POST Data"; this provides:

   __EVENTTARGET
   __EVENTARGUMENT
   __VIEWSTATE=...
   ctl00$ctl00$ctl00$ctl00$ctl00$ContentPlaceHolderDefault$pageBody$pageBody$rightColumn$ctl01$AlligatorHarvestExport_6$RadGrid1$ctl00$ctl02$ctl00$ExportToCsvButton=+
   ctl00$ctl00$ctl00$ctl00$ctl00$ContentPlaceHolderDefault$pageBody$pageBody$rightColumn$ctl01$AlligatorHarvestExport_6$RadGrid1$ctl00$ctl02$ctl03$FilterTextBox_Year
   ctl00$ctl00$ctl00$ctl00$ctl00$ContentPlaceHolderDefault$pageBody$pageBody$rightColumn$ctl01$AlligatorHarvestExport_6$RadGrid1$ctl00$ctl02$ctl03$FilterTextBox_AreaNumber
   ctl00$ctl00$ctl00$ctl00$ctl00$ContentPlaceHolderDefault$pageBody$pageBody$rightColumn$ctl01$AlligatorHarvestExport_6$RadGrid1$ctl00$ctl02$ctl03$FilterTextBox_AreaName
   ctl00$ctl00$ctl00$ctl00$ctl00$ContentPlaceHolderDefault$pageBody$pageBody$rightColumn$ctl01$AlligatorHarvestExport_6$RadGrid1$ctl00$ctl03$ctl01$PageSizeComboBox=20
   ctl00_ctl00_ctl00_ctl00_ctl00_ContentPlaceHolderDefault_pageBody_pageBody_rightColumn_ctl01_AlligatorHarvestExport_6_RadGrid1_ctl00_ctl03_ctl01_PageSizeComboBox_ClientState
   ctl00_ctl00_ctl00_ctl00_ctl00_ContentPlaceHolderDefault_pageBody_pageBody_rightColumn_ctl01_AlligatorHarvestExport_6_RadGrid1_rfltMenu_ClientState
   ctl00_ctl00_ctl00_ctl00_ctl00_ContentPlaceHolderDefault_pageBody_pageBody_rightColumn_ctl01_AlligatorHarvestExport_6_RadGrid1_ClientState
   __VIEWSTATEGENERATOR=CA0B0334
   

   (I replaced the long base64-string with "...".) The notable line is the fourth, ending in $ExportToCsvButton=+. This is the parameter you need to include in your POST data (param).

4. Using your code above up through and including defining param, continue with:

   param$`ctl00$ctl00$ctl00$ctl00$ctl00$ContentPlaceHolderDefault$pageBody$pageBody$rightColumn$ctl01$AlligatorHarvestExport_6$RadGrid1$ctl00$ctl02$ctl00$ExportToCsvButton` <- "+"
   request <- httr::POST(url, body = param, encode = 'form')
   

You'll now have:

request
# Response [http://myfwc.com/wildlifehabitats/managed/alligator/harvest/data-export/]
#   Date: 2017-06-01 18:09
#   Status: 200
#   Content-Type: text/csv; charset-UTF-8;
#   Size: 6.36 MB
# <U+FEFF>"Year","Area Number","Area Name","Carcass Size","Harvest Date","Location"
# "2000","101","LAKE PIERCE","11 ft. 5 in.","09-22-2000",""
# "2000","101","LAKE PIERCE","9 ft. 0 in.","10-02-2000",""
# "2000","101","LAKE PIERCE","8 ft. 10 in.","10-06-2000",""
# "2000","101","LAKE PIERCE","8 ft. 0 in.","09-25-2000",""
# "2000","101","LAKE PIERCE","8 ft. 0 in.","10-07-2000",""
# "2000","101","LAKE PIERCE","8 ft. 0 in.","09-22-2000",""
# "2000","101","LAKE PIERCE","7 ft. 2 in.","09-21-2000",""
# "2000","101","LAKE PIERCE","7 ft. 1 in.","09-21-2000",""
# "2000","101","LAKE PIERCE","6 ft. 11 in.","09-25-2000",""
# ...

Side note: the website starts the file with <U+FEFF>, a unicode character. This throws off read.csv and gives you a column name of X.U.FEFF.Year, is entirely cosmetic.

Saving to File

If you don't care about the suggested filename, you can simply do

write(as.character(request), file="quux.csv")

If you want to use the filename the website suggests for it, you can find it with:

httr::headers(request)$`content-disposition`
# [1] "inline;filename=\"FWCAlligatorHarvestData.csv\""

Parsing that should be straight-forward.

Immediate Consumption

If you don't want/need to save to an intermediate file, you can always consume it immediately:

head(read.csv(textConnection(as.character(request))))
# Invalid encoding : defaulting to UTF-8.
#   X.U.FEFF.Year Area.Number   Area.Name Carcass.Size Harvest.Date Location
# 1          2000         101 LAKE PIERCE 11 ft. 5 in.   09-22-2000         
# 2          2000         101 LAKE PIERCE  9 ft. 0 in.   10-02-2000         
# 3          2000         101 LAKE PIERCE 8 ft. 10 in.   10-06-2000         
# 4          2000         101 LAKE PIERCE  8 ft. 0 in.   09-25-2000         
# 5          2000         101 LAKE PIERCE  8 ft. 0 in.   10-07-2000         
# 6          2000         101 LAKE PIERCE  8 ft. 0 in.   09-22-2000