将 httr GET 的 json 响应转换为 R 中的数据帧
Turn the json response of an httr GET into a dataframe in R
您好，我使用 httr 库从 API 中获取了一些数据。使用此代码
URL <- "https://spotpet.api.hasoffers.com/Apiv3/json?NetworkToken=XXXXXXXXXXXXXXXXX&Target=Report&Method=getStats&fields[]=Stat.date&fields[]=Stat.offer_id&fields[]=Stat.affiliate_id&fields[]=Affiliate.company&fields[]=Stat.impressions&fields[]=Stat.unique_clicks&fields[]=Stat.suspicious_clicks&fields[]=Stat.conversions&fields[]=Stat.gross_clicks&fields[]=Stat.payout&fields[]=Stat.revenue&fields[]=Stat.source&fields[]=Stat.sale_amount&filters[Stat.date][conditional]=GREATER_THAN_OR_EQUAL_TO&filters[Stat.date][values]=2020-12-01&totals=0"
data <- GET(URL)
如果我得到一个 csv 文件，我可以用这段代码把它变成一个数据框
new_data <- read.csv(text=content(data, type = "text", encoding="UTF-8"))
但这次响应是 json 格式
如何更改此代码以将 json 内容转换为数据框？
这是 json 的回复，抱歉它很长但是想要 post 全部所以你们可以试试
结果
dput(内容(数据))
list(request = list(Target = "Report", Format = "json", Service = "HasOffers",
Version = "2", NetworkToken = "xxxxxxxxxxxxxxx",
Method = "getStats", fields = list("Stat.date", "Stat.offer_id",
"Stat.affiliate_id", "Affiliate.company", "Stat.impressions",
"Stat.unique_clicks", "Stat.suspicious_clicks", "Stat.conversions",
"Stat.gross_clicks", "Stat.payout", "Stat.revenue", "Stat.source",
"Stat.sale_amount"), filters = list(Stat.date = list(
conditional = "GREATER_THAN_OR_EQUAL_TO", values = "2020-12-01")),
totals = "0"), response = list(status = 1L, httpStatus = 200L,
data = list(page = 1L, current = 50L, count = 16901L, pageCount = 339L,
data = list(list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "2", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "0", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "leadday0quoteform",
sale_amount = "0.00000"), Affiliate = list(company = "SPOT INTERNAL EMAIL")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "29", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "0", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "FB3.14",
sale_amount = "0.00000"), Affiliate = list(company = "Spot Pet Facebook")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "30", impressions = "0", unique_clicks = "5",
suspicious_clicks = "0", conversions = "4", gross_clicks = "7",
payout = "4.00000", revenue = "0.00000", source = "CMBIO",
sale_amount = "0.00000"), Affiliate = list(company = "Spot Pet Instagram")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "41", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "2", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "CesarArc",
sale_amount = "0.00000"), Affiliate = list(company = "Kendago")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "41", impressions = "0", unique_clicks = "2",
suspicious_clicks = "0", conversions = "4", gross_clicks = "3",
payout = "2.00000", revenue = "0.00000", source = "CesarArcCTA5",
sale_amount = "0.00000"), Affiliate = list(company = "Kendago")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "279", impressions = "51", unique_clicks = "0",
suspicious_clicks = "0", conversions = "0", gross_clicks = "0",
payout = "0.00000", revenue = "0.00000", source = "",
sale_amount = "0.00000"), Affiliate = list(company = "Cornelius Advisory Services")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "287", impressions = "0", unique_clicks = "20",
suspicious_clicks = "7", conversions = "12",
gross_clicks = "27", payout = "12.00000", revenue = "0.00000",
source = "", sale_amount = "0.00000"), Affiliate = list(
company = "Cesarsway.com")), list(Stat = list(
date = "2020-12-01", offer_id = "18", affiliate_id = "287",
impressions = "0", unique_clicks = "20", suspicious_clicks = "0",
conversions = "0", gross_clicks = "20", payout = "0.00000",
revenue = "0.00000", source = "CM-EM", sale_amount = "0.00000"),
Affiliate = list(company = "Cesarsway.com")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "287", impressions = "0", unique_clicks = "17",
suspicious_clicks = "0", conversions = "0", gross_clicks = "17",
payout = "0.00000", revenue = "0.00000", source = "cesarsway",
sale_amount = "0.00000"), Affiliate = list(company = "Cesarsway.com")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "287", impressions = "0", unique_clicks = "23",
suspicious_clicks = "2", conversions = "9", gross_clicks = "25",
payout = "8.00000", revenue = "0.00000", source = "cwemailindoctrination1",
sale_amount = "0.00000"), Affiliate = list(company = "Cesarsway.com")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "287", impressions = "0", unique_clicks = "25",
suspicious_clicks = "0", conversions = "4", gross_clicks = "26",
payout = "4.00000", revenue = "0.00000", source = "cwemailindoctrination2",
sale_amount = "0.00000"), Affiliate = list(company = "Cesarsway.com")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "289", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "0", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "partnerslogo",
sale_amount = "0.00000"), Affiliate = list(company = "WoofTrax")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "312", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "0", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "",
sale_amount = "0.00000"), Affiliate = list(company = "Benefit Hub")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "312", impressions = "0", unique_clicks = "11",
suspicious_clicks = "6", conversions = "22",
gross_clicks = "28", payout = "12.00000", revenue = "0.00000",
source = "EB.BenefitHub", sale_amount = "29.41000"),
Affiliate = list(company = "Benefit Hub")), list(
Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "319", impressions = "0", unique_clicks = "1",
suspicious_clicks = "1", conversions = "0",
gross_clicks = "1", payout = "0.00000", revenue = "0.00000",
source = "EB.ARO", sale_amount = "0.00000"),
Affiliate = list(company = "ARO")), list(Stat = list(
date = "2020-12-01", offer_id = "18", affiliate_id = "335",
impressions = "1", unique_clicks = "0", suspicious_clicks = "0",
conversions = "0", gross_clicks = "0", payout = "0.00000",
revenue = "0.00000", source = "", sale_amount = "0.00000"),
Affiliate = list(company = "Rich Kleiner")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "336", impressions = "0", unique_clicks = "2",
suspicious_clicks = "0", conversions = "0", gross_clicks = "2",
payout = "0.00000", revenue = "0.00000", source = "",
sale_amount = "0.00000"), Affiliate = list(company = "Spot the Rescue")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "343", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "2", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "EB.Insperity",
sale_amount = "0.00000"), Affiliate = list(company = "Insperity")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "348", impressions = "0", unique_clicks = "2",
suspicious_clicks = "0", conversions = "3", gross_clicks = "2",
payout = "2.00000", revenue = "0.00000", source = "EB.Abenity",
sale_amount = "38.00000"), Affiliate = list(company = "Abenity")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "367", impressions = "0", unique_clicks = "1",
suspicious_clicks = "1", conversions = "0", gross_clicks = "4",
payout = "0.00000", revenue = "0.00000", source = "",
sale_amount = "0.00000"), Affiliate = list(company = "Tarek")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "373", impressions = "0", unique_clicks = "24",
suspicious_clicks = "6", conversions = "49",
gross_clicks = "34", payout = "126.00000", revenue = "0.00000",
source = "eb.perkspot", sale_amount = "130.42000"),
Affiliate = list(company = "PerkSpot")), list(
Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "394", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "4",
gross_clicks = "1", payout = "2.00000", revenue = "0.00000",
source = "", sale_amount = "61.30000"), Affiliate = list(
company = "Vcheck Global")), list(Stat = list(
date = "2020-12-01", offer_id = "21", affiliate_id = "298",
impressions = "0", unique_clicks = "32", suspicious_clicks = "5",
conversions = "20", gross_clicks = "34", payout = "160.00000",
revenue = "0.00000", source = "", sale_amount = "167.43000"),
Affiliate = list(company = "Benzinga")), list(
Stat = list(date = "2020-12-01", offer_id = "21",
affiliate_id = "320", impressions = "0", unique_clicks = "135",
suspicious_clicks = "14", conversions = "74",
gross_clicks = "178", payout = "945.00000",
revenue = "0.00000", source = "ConsumerVoice",
sale_amount = "128.58000"), Affiliate = list(
company = "Consumer Voice")), list(Stat = list(
date = "2020-12-01", offer_id = "21", affiliate_id = "332",
impressions = "0", unique_clicks = "68", suspicious_clicks = "1",
conversions = "57", gross_clicks = "74", payout = "221.00000",
revenue = "0.00000", source = "", sale_amount = "157.04000"),
Affiliate = list(company = "Ad Practitioners, LLC")),
list(Stat = list(date = "2020-12-01", offer_id = "21",
affiliate_id = "357", impressions = "0", unique_clicks = "6",
suspicious_clicks = "1", conversions = "3", gross_clicks = "10",
payout = "18.00000", revenue = "0.00000", source = "",
sale_amount = "0.00000"), Affiliate = list(company = "Ad Practitioners, LLC 2")),
list(Stat = list(date = "2020-12-01", offer_id = "21",
affiliate_id = "358", impressions = "0", unique_clicks = "95",
suspicious_clicks = "6", conversions = "24",
gross_clicks = "117", payout = "308.75000", revenue = "0.00000",
source = "", sale_amount = "0.00000"), Affiliate = list(
company = "Ad Practitioners, LLC 3")), list(Stat = list(
date = "2020-12-01", offer_id = "21", affiliate_id = "385",
impressions = "0", unique_clicks = "5", suspicious_clicks = "1",
conversions = "4", gross_clicks = "5", payout = "20.00000",
revenue = "0.00000", source = "", sale_amount = "0.00000"),
Affiliate = list(company = "Apollo Interactive")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "292", impressions = "0", unique_clicks = "150",
suspicious_clicks = "19", conversions = "106",
gross_clicks = "177", payout = "1326.00000",
revenue = "0.00000", source = "", sale_amount = "310.47000"),
Affiliate = list(company = "Natural Intelligence")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "292", impressions = "0", unique_clicks = "0",
suspicious_clicks = "0", conversions = "0", gross_clicks = "3",
payout = "0.00000", revenue = "0.00000", source = "naturalint",
sale_amount = "0.00000"), Affiliate = list(company = "Natural Intelligence")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "295", impressions = "0", unique_clicks = "35",
suspicious_clicks = "2", conversions = "22",
gross_clicks = "41", payout = "315.00000", revenue = "0.00000",
source = "", sale_amount = "52.54000"), Affiliate = list(
company = "Better Impression")), list(Stat = list(
date = "2020-12-01", offer_id = "22", affiliate_id = "295",
impressions = "0", unique_clicks = "0", suspicious_clicks = "0",
conversions = "0", gross_clicks = "1", payout = "0.00000",
revenue = "0.00000", source = "betterim", sale_amount = "0.00000"),
Affiliate = list(company = "Better Impression")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "297", impressions = "0", unique_clicks = "312",
suspicious_clicks = "37", conversions = "229",
gross_clicks = "353", payout = "4460.00000",
revenue = "0.00000", source = "", sale_amount = "331.24000"),
Affiliate = list(company = "Search Vision")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "297", impressions = "0", unique_clicks = "0",
suspicious_clicks = "0", conversions = "0", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "searchvision",
sale_amount = "0.00000"), Affiliate = list(company = "Search Vision")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "301", impressions = "0", unique_clicks = "299",
suspicious_clicks = "8", conversions = "176",
gross_clicks = "402", payout = "2550.00000",
revenue = "0.00000", source = "", sale_amount = "516.91000"),
Affiliate = list(company = "Wickfire")), list(
Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "301", impressions = "0", unique_clicks = "0",
suspicious_clicks = "0", conversions = "0",
gross_clicks = "1", payout = "0.00000", revenue = "0.00000",
source = "wickfire", sale_amount = "0.00000"),
Affiliate = list(company = "Wickfire")), list(
Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "302", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "0",
gross_clicks = "1", payout = "0.00000", revenue = "0.00000",
source = "", sale_amount = "0.00000"), Affiliate = list(
company = "365 Pet Insurance")), list(Stat = list(
date = "2020-12-01", offer_id = "22", affiliate_id = "302",
impressions = "0", unique_clicks = "5", suspicious_clicks = "0",
conversions = "4", gross_clicks = "5", payout = "36.00000",
revenue = "0.00000", source = "365", sale_amount = "0.00000"),
Affiliate = list(company = "365 Pet Insurance")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "317", impressions = "0", unique_clicks = "2",
suspicious_clicks = "0", conversions = "2", gross_clicks = "2",
payout = "4.00000", revenue = "0.00000", source = "eb.bennie",
sale_amount = "29.58000"), Affiliate = list(company = "Bennie")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "324", impressions = "0", unique_clicks = "233",
suspicious_clicks = "15", conversions = "113",
gross_clicks = "251", payout = "1887.00000",
revenue = "0.00000", source = "", sale_amount = "107.60000"),
Affiliate = list(company = "LendEDU")), list(
Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "326", impressions = "0", unique_clicks = "43",
suspicious_clicks = "2", conversions = "4",
gross_clicks = "44", payout = "60.00000", revenue = "0.00000",
source = "", sale_amount = "0.00000"), Affiliate = list(
company = "Consumer Affairs")), list(Stat = list(
date = "2020-12-01", offer_id = "22", affiliate_id = "326",
impressions = "0", unique_clicks = "0", suspicious_clicks = "0",
conversions = "0", gross_clicks = "1", payout = "0.00000",
revenue = "0.00000", source = "consumeraffairs",
sale_amount = "0.00000"), Affiliate = list(company = "Consumer Affairs")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "331", impressions = "0", unique_clicks = "149",
suspicious_clicks = "12", conversions = "69",
gross_clicks = "185", payout = "1254.00000",
revenue = "0.00000", source = "", sale_amount = "142.65000"),
Affiliate = list(company = "How Stuff Works")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "331", impressions = "0", unique_clicks = "0",
suspicious_clicks = "0", conversions = "0", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "hsw",
sale_amount = "0.00000"), Affiliate = list(company = "How Stuff Works")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "334", impressions = "0", unique_clicks = "104",
suspicious_clicks = "5", conversions = "72",
gross_clicks = "116", payout = "700.00000", revenue = "0.00000",
source = "", sale_amount = "69.08000"), Affiliate = list(
company = "Natural Intelligence MOBILE")), list(
Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "351", impressions = "0", unique_clicks = "3",
suspicious_clicks = "0", conversions = "1",
gross_clicks = "3", payout = "10.00000", revenue = "0.00000",
source = "EB.AccessPerks", sale_amount = "0.00000"),
Affiliate = list(company = "Access Development")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "363", impressions = "0", unique_clicks = "444",
suspicious_clicks = "19", conversions = "228",
gross_clicks = "475", payout = "1135.00000",
revenue = "0.00000", source = "", sale_amount = "48.06000"),
Affiliate = list(company = "Natural Intelligence FB")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "365", impressions = "0", unique_clicks = "17",
suspicious_clicks = "0", conversions = "4", gross_clicks = "17",
payout = "28.00000", revenue = "0.00000", source = "",
sale_amount = "0.00000"), Affiliate = list(company = "The Super Collies")),
list(Stat = list(date = "2020-12-01", offer_id = "23",
affiliate_id = "290", impressions = "0", unique_clicks = "18",
suspicious_clicks = "1", conversions = "9", gross_clicks = "20",
payout = "100.00000", revenue = "0.00000", source = "",
sale_amount = "34.39000"), Affiliate = list(company = "Pets Rule LLC")),
list(Stat = list(date = "2020-12-01", offer_id = "26",
affiliate_id = "267", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "0", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "spoteb",
sale_amount = "0.00000"), Affiliate = list(company = "Spot Employee Benefits"))),
dbSource = "branddb"), errors = list(), errorMessage = NULL))
当我执行这段代码时，我得到了这个响应
test <- rjson::fromJSON(httr::content(data, type = 'text'))
test
$response$data$data[[50]]
$response$data$data[[50]]$Stat
$response$data$data[[50]]$Stat$date
[1] "2020-12-01"
$response$data$data[[50]]$Stat$offer_id
[1] "26"
$response$data$data[[50]]$Stat$affiliate_id
[1] "267"
$response$data$data[[50]]$Stat$impressions
[1] "0"
$response$data$data[[50]]$Stat$unique_clicks
[1] "1"
$response$data$data[[50]]$Stat$suspicious_clicks
[1] "0"
$response$data$data[[50]]$Stat$conversions
[1] "0"
$response$data$data[[50]]$Stat$gross_clicks
[1] "1"
$response$data$data[[50]]$Stat$payout
[1] "0.00000"
$response$data$data[[50]]$Stat$revenue
[1] "0.00000"
$response$data$data[[50]]$Stat$source
[1] "spoteb"
$response$data$data[[50]]$Stat$sale_amount
[1] "0.00000"
$response$data$data[[50]]$Affiliate
$response$data$data[[50]]$Affiliate$company
[1] "Spot Employee Benefits"
如果我执行这段代码，我会收到此响应
test2 <- test$response$data$data
lapply(test2, list2DF)
Stat Affiliate
1 2020-12-01 Pets Rule LLC
2 23 Pets Rule LLC
3 290 Pets Rule LLC
4 0 Pets Rule LLC
5 18 Pets Rule LLC
6 1 Pets Rule LLC
7 9 Pets Rule LLC
8 20 Pets Rule LLC
9 100.00000 Pets Rule LLC
10 0.00000 Pets Rule LLC
11 Pets Rule LLC
12 34.39000 Pets Rule LLC
[[50]]
Stat Affiliate
1 2020-12-01 Spot Employee Benefits
2 26 Spot Employee Benefits
3 267 Spot Employee Benefits
4 0 Spot Employee Benefits
5 1 Spot Employee Benefits
6 0 Spot Employee Benefits
7 0 Spot Employee Benefits
8 1 Spot Employee Benefits
9 0.00000 Spot Employee Benefits
10 0.00000 Spot Employee Benefits
11 spoteb Spot Employee Benefits
12 0.00000 Spot Employee Benefits
它更接近我需要的但还没有达到
如果我 运行 只是 运行 test2 我明白了
[[50]]
[[50]]$Stat
[[50]]$Stat$date
[1] "2020-12-01"
[[50]]$Stat$offer_id
[1] "26"
[[50]]$Stat$affiliate_id
[1] "267"
[[50]]$Stat$impressions
[1] "0"
[[50]]$Stat$unique_clicks
[1] "1"
[[50]]$Stat$suspicious_clicks
[1] "0"
[[50]]$Stat$conversions
[1] "0"
[[50]]$Stat$gross_clicks
[1] "1"
[[50]]$Stat$payout
[1] "0.00000"
[[50]]$Stat$revenue
[1] "0.00000"
[[50]]$Stat$source
[1] "spoteb"
[[50]]$Stat$sale_amount
[1] "0.00000"
[[50]]$Affiliate
[[50]]$Affiliate$company
[1] "Spot Employee Benefits"
理想的结果是
stats columns affiliate column
date offer_id affiliate_id...... Affiliate company
2020-12-01 26 267 ......... Spot Employee Benefits
.
.
.
谢谢
所以这正是为什么带有 dput 的可重现示例以及预期结果总是有帮助的原因。你可以这样做：
library(tidyverse)
library(rrapply)
response <- content(data)
my_data <- rrapply(response$response$data$data, how = "melt") %>%
select(-L2) %>%
pivot_wider(names_from = L3,
values_from = value) %>%
select(-L1)
给出：
# A tibble: 50 x 13
date offer_id affiliate_id impressions unique_clicks suspicious_clicks conversions gross_clicks payout revenue source sale_amount company
<chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
1 2020-12-01 18 2 0 1 0 0 1 0.00000 0.00000 "leadday0quoteform" 0.00000 SPOT INTER~
2 2020-12-01 18 29 0 1 0 0 1 0.00000 0.00000 "FB3.14" 0.00000 Spot Pet F~
3 2020-12-01 18 30 0 5 0 4 7 4.00000 0.00000 "CMBIO" 0.00000 Spot Pet I~
4 2020-12-01 18 41 0 1 0 2 1 0.00000 0.00000 "CesarArc" 0.00000 Kendago
5 2020-12-01 18 41 0 2 0 4 3 2.00000 0.00000 "CesarArcCTA5" 0.00000 Kendago
6 2020-12-01 18 279 51 0 0 0 0 0.00000 0.00000 "" 0.00000 Cornelius ~
7 2020-12-01 18 287 0 20 7 12 27 12.00000 0.00000 "" 0.00000 Cesarsway.~
8 2020-12-01 18 287 0 20 0 0 20 0.00000 0.00000 "CM-EM" 0.00000 Cesarsway.~
9 2020-12-01 18 287 0 17 0 0 17 0.00000 0.00000 "cesarsway" 0.00000 Cesarsway.~
10 2020-12-01 18 287 0 23 2 9 25 8.00000 0.00000 "cwemailindoctrination1" 0.00000 Cesarsway.~
# ... with 40 more rows
您好，我使用 httr 库从 API 中获取了一些数据。使用此代码
URL <- "https://spotpet.api.hasoffers.com/Apiv3/json?NetworkToken=XXXXXXXXXXXXXXXXX&Target=Report&Method=getStats&fields[]=Stat.date&fields[]=Stat.offer_id&fields[]=Stat.affiliate_id&fields[]=Affiliate.company&fields[]=Stat.impressions&fields[]=Stat.unique_clicks&fields[]=Stat.suspicious_clicks&fields[]=Stat.conversions&fields[]=Stat.gross_clicks&fields[]=Stat.payout&fields[]=Stat.revenue&fields[]=Stat.source&fields[]=Stat.sale_amount&filters[Stat.date][conditional]=GREATER_THAN_OR_EQUAL_TO&filters[Stat.date][values]=2020-12-01&totals=0"
data <- GET(URL)
如果我得到一个 csv 文件，我可以用这段代码把它变成一个数据框
new_data <- read.csv(text=content(data, type = "text", encoding="UTF-8"))
但这次响应是 json 格式
如何更改此代码以将 json 内容转换为数据框？
这是 json 的回复，抱歉它很长但是想要 post 全部所以你们可以试试
结果
dput(内容(数据))
list(request = list(Target = "Report", Format = "json", Service = "HasOffers",
Version = "2", NetworkToken = "xxxxxxxxxxxxxxx",
Method = "getStats", fields = list("Stat.date", "Stat.offer_id",
"Stat.affiliate_id", "Affiliate.company", "Stat.impressions",
"Stat.unique_clicks", "Stat.suspicious_clicks", "Stat.conversions",
"Stat.gross_clicks", "Stat.payout", "Stat.revenue", "Stat.source",
"Stat.sale_amount"), filters = list(Stat.date = list(
conditional = "GREATER_THAN_OR_EQUAL_TO", values = "2020-12-01")),
totals = "0"), response = list(status = 1L, httpStatus = 200L,
data = list(page = 1L, current = 50L, count = 16901L, pageCount = 339L,
data = list(list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "2", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "0", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "leadday0quoteform",
sale_amount = "0.00000"), Affiliate = list(company = "SPOT INTERNAL EMAIL")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "29", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "0", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "FB3.14",
sale_amount = "0.00000"), Affiliate = list(company = "Spot Pet Facebook")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "30", impressions = "0", unique_clicks = "5",
suspicious_clicks = "0", conversions = "4", gross_clicks = "7",
payout = "4.00000", revenue = "0.00000", source = "CMBIO",
sale_amount = "0.00000"), Affiliate = list(company = "Spot Pet Instagram")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "41", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "2", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "CesarArc",
sale_amount = "0.00000"), Affiliate = list(company = "Kendago")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "41", impressions = "0", unique_clicks = "2",
suspicious_clicks = "0", conversions = "4", gross_clicks = "3",
payout = "2.00000", revenue = "0.00000", source = "CesarArcCTA5",
sale_amount = "0.00000"), Affiliate = list(company = "Kendago")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "279", impressions = "51", unique_clicks = "0",
suspicious_clicks = "0", conversions = "0", gross_clicks = "0",
payout = "0.00000", revenue = "0.00000", source = "",
sale_amount = "0.00000"), Affiliate = list(company = "Cornelius Advisory Services")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "287", impressions = "0", unique_clicks = "20",
suspicious_clicks = "7", conversions = "12",
gross_clicks = "27", payout = "12.00000", revenue = "0.00000",
source = "", sale_amount = "0.00000"), Affiliate = list(
company = "Cesarsway.com")), list(Stat = list(
date = "2020-12-01", offer_id = "18", affiliate_id = "287",
impressions = "0", unique_clicks = "20", suspicious_clicks = "0",
conversions = "0", gross_clicks = "20", payout = "0.00000",
revenue = "0.00000", source = "CM-EM", sale_amount = "0.00000"),
Affiliate = list(company = "Cesarsway.com")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "287", impressions = "0", unique_clicks = "17",
suspicious_clicks = "0", conversions = "0", gross_clicks = "17",
payout = "0.00000", revenue = "0.00000", source = "cesarsway",
sale_amount = "0.00000"), Affiliate = list(company = "Cesarsway.com")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "287", impressions = "0", unique_clicks = "23",
suspicious_clicks = "2", conversions = "9", gross_clicks = "25",
payout = "8.00000", revenue = "0.00000", source = "cwemailindoctrination1",
sale_amount = "0.00000"), Affiliate = list(company = "Cesarsway.com")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "287", impressions = "0", unique_clicks = "25",
suspicious_clicks = "0", conversions = "4", gross_clicks = "26",
payout = "4.00000", revenue = "0.00000", source = "cwemailindoctrination2",
sale_amount = "0.00000"), Affiliate = list(company = "Cesarsway.com")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "289", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "0", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "partnerslogo",
sale_amount = "0.00000"), Affiliate = list(company = "WoofTrax")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "312", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "0", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "",
sale_amount = "0.00000"), Affiliate = list(company = "Benefit Hub")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "312", impressions = "0", unique_clicks = "11",
suspicious_clicks = "6", conversions = "22",
gross_clicks = "28", payout = "12.00000", revenue = "0.00000",
source = "EB.BenefitHub", sale_amount = "29.41000"),
Affiliate = list(company = "Benefit Hub")), list(
Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "319", impressions = "0", unique_clicks = "1",
suspicious_clicks = "1", conversions = "0",
gross_clicks = "1", payout = "0.00000", revenue = "0.00000",
source = "EB.ARO", sale_amount = "0.00000"),
Affiliate = list(company = "ARO")), list(Stat = list(
date = "2020-12-01", offer_id = "18", affiliate_id = "335",
impressions = "1", unique_clicks = "0", suspicious_clicks = "0",
conversions = "0", gross_clicks = "0", payout = "0.00000",
revenue = "0.00000", source = "", sale_amount = "0.00000"),
Affiliate = list(company = "Rich Kleiner")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "336", impressions = "0", unique_clicks = "2",
suspicious_clicks = "0", conversions = "0", gross_clicks = "2",
payout = "0.00000", revenue = "0.00000", source = "",
sale_amount = "0.00000"), Affiliate = list(company = "Spot the Rescue")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "343", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "2", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "EB.Insperity",
sale_amount = "0.00000"), Affiliate = list(company = "Insperity")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "348", impressions = "0", unique_clicks = "2",
suspicious_clicks = "0", conversions = "3", gross_clicks = "2",
payout = "2.00000", revenue = "0.00000", source = "EB.Abenity",
sale_amount = "38.00000"), Affiliate = list(company = "Abenity")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "367", impressions = "0", unique_clicks = "1",
suspicious_clicks = "1", conversions = "0", gross_clicks = "4",
payout = "0.00000", revenue = "0.00000", source = "",
sale_amount = "0.00000"), Affiliate = list(company = "Tarek")),
list(Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "373", impressions = "0", unique_clicks = "24",
suspicious_clicks = "6", conversions = "49",
gross_clicks = "34", payout = "126.00000", revenue = "0.00000",
source = "eb.perkspot", sale_amount = "130.42000"),
Affiliate = list(company = "PerkSpot")), list(
Stat = list(date = "2020-12-01", offer_id = "18",
affiliate_id = "394", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "4",
gross_clicks = "1", payout = "2.00000", revenue = "0.00000",
source = "", sale_amount = "61.30000"), Affiliate = list(
company = "Vcheck Global")), list(Stat = list(
date = "2020-12-01", offer_id = "21", affiliate_id = "298",
impressions = "0", unique_clicks = "32", suspicious_clicks = "5",
conversions = "20", gross_clicks = "34", payout = "160.00000",
revenue = "0.00000", source = "", sale_amount = "167.43000"),
Affiliate = list(company = "Benzinga")), list(
Stat = list(date = "2020-12-01", offer_id = "21",
affiliate_id = "320", impressions = "0", unique_clicks = "135",
suspicious_clicks = "14", conversions = "74",
gross_clicks = "178", payout = "945.00000",
revenue = "0.00000", source = "ConsumerVoice",
sale_amount = "128.58000"), Affiliate = list(
company = "Consumer Voice")), list(Stat = list(
date = "2020-12-01", offer_id = "21", affiliate_id = "332",
impressions = "0", unique_clicks = "68", suspicious_clicks = "1",
conversions = "57", gross_clicks = "74", payout = "221.00000",
revenue = "0.00000", source = "", sale_amount = "157.04000"),
Affiliate = list(company = "Ad Practitioners, LLC")),
list(Stat = list(date = "2020-12-01", offer_id = "21",
affiliate_id = "357", impressions = "0", unique_clicks = "6",
suspicious_clicks = "1", conversions = "3", gross_clicks = "10",
payout = "18.00000", revenue = "0.00000", source = "",
sale_amount = "0.00000"), Affiliate = list(company = "Ad Practitioners, LLC 2")),
list(Stat = list(date = "2020-12-01", offer_id = "21",
affiliate_id = "358", impressions = "0", unique_clicks = "95",
suspicious_clicks = "6", conversions = "24",
gross_clicks = "117", payout = "308.75000", revenue = "0.00000",
source = "", sale_amount = "0.00000"), Affiliate = list(
company = "Ad Practitioners, LLC 3")), list(Stat = list(
date = "2020-12-01", offer_id = "21", affiliate_id = "385",
impressions = "0", unique_clicks = "5", suspicious_clicks = "1",
conversions = "4", gross_clicks = "5", payout = "20.00000",
revenue = "0.00000", source = "", sale_amount = "0.00000"),
Affiliate = list(company = "Apollo Interactive")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "292", impressions = "0", unique_clicks = "150",
suspicious_clicks = "19", conversions = "106",
gross_clicks = "177", payout = "1326.00000",
revenue = "0.00000", source = "", sale_amount = "310.47000"),
Affiliate = list(company = "Natural Intelligence")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "292", impressions = "0", unique_clicks = "0",
suspicious_clicks = "0", conversions = "0", gross_clicks = "3",
payout = "0.00000", revenue = "0.00000", source = "naturalint",
sale_amount = "0.00000"), Affiliate = list(company = "Natural Intelligence")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "295", impressions = "0", unique_clicks = "35",
suspicious_clicks = "2", conversions = "22",
gross_clicks = "41", payout = "315.00000", revenue = "0.00000",
source = "", sale_amount = "52.54000"), Affiliate = list(
company = "Better Impression")), list(Stat = list(
date = "2020-12-01", offer_id = "22", affiliate_id = "295",
impressions = "0", unique_clicks = "0", suspicious_clicks = "0",
conversions = "0", gross_clicks = "1", payout = "0.00000",
revenue = "0.00000", source = "betterim", sale_amount = "0.00000"),
Affiliate = list(company = "Better Impression")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "297", impressions = "0", unique_clicks = "312",
suspicious_clicks = "37", conversions = "229",
gross_clicks = "353", payout = "4460.00000",
revenue = "0.00000", source = "", sale_amount = "331.24000"),
Affiliate = list(company = "Search Vision")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "297", impressions = "0", unique_clicks = "0",
suspicious_clicks = "0", conversions = "0", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "searchvision",
sale_amount = "0.00000"), Affiliate = list(company = "Search Vision")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "301", impressions = "0", unique_clicks = "299",
suspicious_clicks = "8", conversions = "176",
gross_clicks = "402", payout = "2550.00000",
revenue = "0.00000", source = "", sale_amount = "516.91000"),
Affiliate = list(company = "Wickfire")), list(
Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "301", impressions = "0", unique_clicks = "0",
suspicious_clicks = "0", conversions = "0",
gross_clicks = "1", payout = "0.00000", revenue = "0.00000",
source = "wickfire", sale_amount = "0.00000"),
Affiliate = list(company = "Wickfire")), list(
Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "302", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "0",
gross_clicks = "1", payout = "0.00000", revenue = "0.00000",
source = "", sale_amount = "0.00000"), Affiliate = list(
company = "365 Pet Insurance")), list(Stat = list(
date = "2020-12-01", offer_id = "22", affiliate_id = "302",
impressions = "0", unique_clicks = "5", suspicious_clicks = "0",
conversions = "4", gross_clicks = "5", payout = "36.00000",
revenue = "0.00000", source = "365", sale_amount = "0.00000"),
Affiliate = list(company = "365 Pet Insurance")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "317", impressions = "0", unique_clicks = "2",
suspicious_clicks = "0", conversions = "2", gross_clicks = "2",
payout = "4.00000", revenue = "0.00000", source = "eb.bennie",
sale_amount = "29.58000"), Affiliate = list(company = "Bennie")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "324", impressions = "0", unique_clicks = "233",
suspicious_clicks = "15", conversions = "113",
gross_clicks = "251", payout = "1887.00000",
revenue = "0.00000", source = "", sale_amount = "107.60000"),
Affiliate = list(company = "LendEDU")), list(
Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "326", impressions = "0", unique_clicks = "43",
suspicious_clicks = "2", conversions = "4",
gross_clicks = "44", payout = "60.00000", revenue = "0.00000",
source = "", sale_amount = "0.00000"), Affiliate = list(
company = "Consumer Affairs")), list(Stat = list(
date = "2020-12-01", offer_id = "22", affiliate_id = "326",
impressions = "0", unique_clicks = "0", suspicious_clicks = "0",
conversions = "0", gross_clicks = "1", payout = "0.00000",
revenue = "0.00000", source = "consumeraffairs",
sale_amount = "0.00000"), Affiliate = list(company = "Consumer Affairs")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "331", impressions = "0", unique_clicks = "149",
suspicious_clicks = "12", conversions = "69",
gross_clicks = "185", payout = "1254.00000",
revenue = "0.00000", source = "", sale_amount = "142.65000"),
Affiliate = list(company = "How Stuff Works")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "331", impressions = "0", unique_clicks = "0",
suspicious_clicks = "0", conversions = "0", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "hsw",
sale_amount = "0.00000"), Affiliate = list(company = "How Stuff Works")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "334", impressions = "0", unique_clicks = "104",
suspicious_clicks = "5", conversions = "72",
gross_clicks = "116", payout = "700.00000", revenue = "0.00000",
source = "", sale_amount = "69.08000"), Affiliate = list(
company = "Natural Intelligence MOBILE")), list(
Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "351", impressions = "0", unique_clicks = "3",
suspicious_clicks = "0", conversions = "1",
gross_clicks = "3", payout = "10.00000", revenue = "0.00000",
source = "EB.AccessPerks", sale_amount = "0.00000"),
Affiliate = list(company = "Access Development")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "363", impressions = "0", unique_clicks = "444",
suspicious_clicks = "19", conversions = "228",
gross_clicks = "475", payout = "1135.00000",
revenue = "0.00000", source = "", sale_amount = "48.06000"),
Affiliate = list(company = "Natural Intelligence FB")),
list(Stat = list(date = "2020-12-01", offer_id = "22",
affiliate_id = "365", impressions = "0", unique_clicks = "17",
suspicious_clicks = "0", conversions = "4", gross_clicks = "17",
payout = "28.00000", revenue = "0.00000", source = "",
sale_amount = "0.00000"), Affiliate = list(company = "The Super Collies")),
list(Stat = list(date = "2020-12-01", offer_id = "23",
affiliate_id = "290", impressions = "0", unique_clicks = "18",
suspicious_clicks = "1", conversions = "9", gross_clicks = "20",
payout = "100.00000", revenue = "0.00000", source = "",
sale_amount = "34.39000"), Affiliate = list(company = "Pets Rule LLC")),
list(Stat = list(date = "2020-12-01", offer_id = "26",
affiliate_id = "267", impressions = "0", unique_clicks = "1",
suspicious_clicks = "0", conversions = "0", gross_clicks = "1",
payout = "0.00000", revenue = "0.00000", source = "spoteb",
sale_amount = "0.00000"), Affiliate = list(company = "Spot Employee Benefits"))),
dbSource = "branddb"), errors = list(), errorMessage = NULL))
当我执行这段代码时，我得到了这个响应
test <- rjson::fromJSON(httr::content(data, type = 'text'))
test
$response$data$data[[50]]
$response$data$data[[50]]$Stat
$response$data$data[[50]]$Stat$date
[1] "2020-12-01"
$response$data$data[[50]]$Stat$offer_id
[1] "26"
$response$data$data[[50]]$Stat$affiliate_id
[1] "267"
$response$data$data[[50]]$Stat$impressions
[1] "0"
$response$data$data[[50]]$Stat$unique_clicks
[1] "1"
$response$data$data[[50]]$Stat$suspicious_clicks
[1] "0"
$response$data$data[[50]]$Stat$conversions
[1] "0"
$response$data$data[[50]]$Stat$gross_clicks
[1] "1"
$response$data$data[[50]]$Stat$payout
[1] "0.00000"
$response$data$data[[50]]$Stat$revenue
[1] "0.00000"
$response$data$data[[50]]$Stat$source
[1] "spoteb"
$response$data$data[[50]]$Stat$sale_amount
[1] "0.00000"
$response$data$data[[50]]$Affiliate
$response$data$data[[50]]$Affiliate$company
[1] "Spot Employee Benefits"
如果我执行这段代码，我会收到此响应
test2 <- test$response$data$data
lapply(test2, list2DF)
Stat Affiliate
1 2020-12-01 Pets Rule LLC
2 23 Pets Rule LLC
3 290 Pets Rule LLC
4 0 Pets Rule LLC
5 18 Pets Rule LLC
6 1 Pets Rule LLC
7 9 Pets Rule LLC
8 20 Pets Rule LLC
9 100.00000 Pets Rule LLC
10 0.00000 Pets Rule LLC
11 Pets Rule LLC
12 34.39000 Pets Rule LLC
[[50]]
Stat Affiliate
1 2020-12-01 Spot Employee Benefits
2 26 Spot Employee Benefits
3 267 Spot Employee Benefits
4 0 Spot Employee Benefits
5 1 Spot Employee Benefits
6 0 Spot Employee Benefits
7 0 Spot Employee Benefits
8 1 Spot Employee Benefits
9 0.00000 Spot Employee Benefits
10 0.00000 Spot Employee Benefits
11 spoteb Spot Employee Benefits
12 0.00000 Spot Employee Benefits
它更接近我需要的但还没有达到
如果我 运行 只是 运行 test2 我明白了
[[50]]
[[50]]$Stat
[[50]]$Stat$date
[1] "2020-12-01"
[[50]]$Stat$offer_id
[1] "26"
[[50]]$Stat$affiliate_id
[1] "267"
[[50]]$Stat$impressions
[1] "0"
[[50]]$Stat$unique_clicks
[1] "1"
[[50]]$Stat$suspicious_clicks
[1] "0"
[[50]]$Stat$conversions
[1] "0"
[[50]]$Stat$gross_clicks
[1] "1"
[[50]]$Stat$payout
[1] "0.00000"
[[50]]$Stat$revenue
[1] "0.00000"
[[50]]$Stat$source
[1] "spoteb"
[[50]]$Stat$sale_amount
[1] "0.00000"
[[50]]$Affiliate
[[50]]$Affiliate$company
[1] "Spot Employee Benefits"
理想的结果是
stats columns affiliate column
date offer_id affiliate_id...... Affiliate company
2020-12-01 26 267 ......... Spot Employee Benefits
.
.
.
谢谢
所以这正是为什么带有 dput 的可重现示例以及预期结果总是有帮助的原因。你可以这样做：
library(tidyverse)
library(rrapply)
response <- content(data)
my_data <- rrapply(response$response$data$data, how = "melt") %>%
select(-L2) %>%
pivot_wider(names_from = L3,
values_from = value) %>%
select(-L1)
给出：
# A tibble: 50 x 13
date offer_id affiliate_id impressions unique_clicks suspicious_clicks conversions gross_clicks payout revenue source sale_amount company
<chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
1 2020-12-01 18 2 0 1 0 0 1 0.00000 0.00000 "leadday0quoteform" 0.00000 SPOT INTER~
2 2020-12-01 18 29 0 1 0 0 1 0.00000 0.00000 "FB3.14" 0.00000 Spot Pet F~
3 2020-12-01 18 30 0 5 0 4 7 4.00000 0.00000 "CMBIO" 0.00000 Spot Pet I~
4 2020-12-01 18 41 0 1 0 2 1 0.00000 0.00000 "CesarArc" 0.00000 Kendago
5 2020-12-01 18 41 0 2 0 4 3 2.00000 0.00000 "CesarArcCTA5" 0.00000 Kendago
6 2020-12-01 18 279 51 0 0 0 0 0.00000 0.00000 "" 0.00000 Cornelius ~
7 2020-12-01 18 287 0 20 7 12 27 12.00000 0.00000 "" 0.00000 Cesarsway.~
8 2020-12-01 18 287 0 20 0 0 20 0.00000 0.00000 "CM-EM" 0.00000 Cesarsway.~
9 2020-12-01 18 287 0 17 0 0 17 0.00000 0.00000 "cesarsway" 0.00000 Cesarsway.~
10 2020-12-01 18 287 0 23 2 9 25 8.00000 0.00000 "cwemailindoctrination1" 0.00000 Cesarsway.~
# ... with 40 more rows