golang 提取html数据,从网页中提取表格

I would suggest to keep them as list of dataframes and to distinguish the tables, name them with the caption available

library(dplyr)

library(rvest)

url

url %>%

read_html() %>%

html_table() %>%

setNames(., url %>%

read_html() %>%

html_nodes("caption") %>%

html_text())

#$`Resident tax rates for 2016-17`

# Taxable income Tax on this income

#1 0 – $18,200 Nil

#2 $18,201 – $37,000 19c for each $1 over $18,200

#3 $37,001 – $87,000 $3,572 plus 32.5c for each $1 over $37,000

#4 $87,001 – $180,000 $19,822 plus 37c for each $1 over $87,000

#5 $180,001 and over $54,232 plus 45c for each $1 over $180,000

#$`Resident tax rates for 2015-16`

# Taxable income Tax on this income

#1 0 – $18,200 Nil

#2 $18,201 – $37,000 19c for each $1 over $18,200

#3 $37,001 – $80,000 $3,572 plus 32.5c for each $1 over $37,000

#4 $80,001 – $180,000 $17,547 plus 37c for each $1 over $80,000

#5 $180,001 and over $54,547 plus 45c for each $1 over $180,000

#......

If you want it as one single dataframe, we can use bind_rows with .id parameter

url %>%

read_html() %>%

html_table() %>%

setNames(., url %>%

read_html() %>%

html_nodes("caption") %>%

html_text()) %>%

bind_rows(.id = "id")