Hello R Studio Data Scientists,
I have a script that I posted the other day. I can run the script on any court opinion on justia dot com and it will pull the values in R Studio no problem. I haven't created a data frame.
I just would like to pass the collected data; which is in 21 different p_nodes[1:21] which gathered the data I needed using Xpath and rvest package.
The following variable names that have picked up the data I need to learn how to pass to a MariaDB local database. (I can connect to the database; query the server; see what table is there; and see if tables exist with TRUE or FALSE) -- all working.
I was even able to get an almost working line which was the following:
"dbWriteTable(con, "F.2d", p_text, append = TRUE);"
interesting enough... I get this error:
dbWriteTable(con, "F.2d", export_1, append = TRUE);
Error in normalizePath(value, winslash = "/", mustWork = TRUE) :
path="1 F.2d 935 (1924)": No such file or directory
I am running Debian Linux 9 Stretch. I checked the working directory; which is /home/brandon ; same as the user logged into R-Studio.
Variables Names Grabbed when entering a justia URL court opinion into the script I posted on my last thread.
p_text = extracted_op_case_cite
p_text = extracted_op_case_parties
p_text = extracted_op_case_number
p_text = extracted_op_case_juris
p_text = extracted_op_case_date
p_text = extracted_plaintiff_attorneys
p_text = extracted_pinpoints
p_text = extracted_defense_attorneys
p_text = extracted_defense2_attorneys
p_text = extracted_judge
p_text = extracted_opinion_p1
p_text = extracted_opinion_p2
p_text = extracted_opinion_p3
p_text = extracted_opinion_p4
p_text = extracted_opinion_p5
p_text = extracted_opinion_p6
p_text = extracted_opinion_p7
p_text = extracted_opinion_p8
p_text = extracted_opinion_p9
p_text = extracted_opinion_p10
p_text = extracted_title
What I would like to do is take p_text - p_text or the stored variables from the scraped justia court opinion.
Then pass these into a table "F.2d" onto a row with all the p_text 1 - p_text 21 as the columns and have it so it allows appending; row after row; from URL scrape to URL scrape).
Trying to populate a database using this script that did work to get the data targeted.
Any help would be greatly appreciated! Thank you and God speed!