The data you see on the screen is not HTML. You can use packages like "httr2" or "httr" to request the data from various links gathered from network
section. Which can be found in the developer tools.
This is an example for the dataset in the bottom right.
"http://ncpscxx.moa.gov.cn/product/livestock-product-feed/trend/count" %>%
request() %>%
req_user_agent("Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/104.0.5112.102 Safari/537.36 Edg/104.0.1293.63") %>%
req_body_json(list(
varietyCode = "AL01001",
queryEndTime = "2020",
queryStartTime = "2011"
)) %>%
req_perform() %>%
resp_body_json(simplifyVector = TRUE) %>%
getElement(4) %>%
as_tibble
# A tibble: 7 x 3
AMOUNT_FEED CHANGE_RATE REPORT_TIME
<int> <chr> <chr>
1 8612 - 2014<U+5E74>
2 7949 -7.7 2015<U+5E74>
3 8298 4.39 2016<U+5E74>
4 9078 9.4 2017<U+5E74>
5 9584 5.57 2018<U+5E74>
6 7651 -20.17 2019<U+5E74>
7 8874 15.98 2020<U+5E74>
