嗨，谢谢大家，
下面，我粘贴了REAL数据的结构，以便您可以复制粘贴并使用它。
正如我所说，我的目的是要获得一个平面数据框，其中每一行代表列数据框“行”中的一行，并能够将发票的ID和客户的ID“绑定”到该数据框。
我一直在尝试 tidyr :: unnest（）， tidyr :: unnest_wider（）， tidyr :: unnest_longer（）， purrr :: pluck ，但它们似乎都不起作用。
这是转储中的结构：
invoice <-
structure(list(id = c("in_1000", "in_1001"
), customer = c("cus_1000", "cus_1001"),
lines = structure(list(object = c("list", "list"), data = list(
structure(list(id = "in_1000", object = "line_item",
amount = 0L, currency = "eur", description = "Trial period for Food",
discount_amounts = list(list()), discountable = TRUE,
discounts = list(list()), livemode = TRUE, metadata = structure(list(), .Names = character(0), row.names = c(NA,
-1L), class = "data.frame"), period = structure(list(
end = 1605198759L, start = 1601919291L), .Names = c("end",
"start"), class = "data.frame", row.names = 1L),
plan = structure(list(id = "plan_1000",
object = "plan", active = TRUE, aggregate_usage = NA,
amount = 5850L, amount_decimal = "5850", billing_scheme = "per_unit",
created = 1603405572L, currency = "eur", interval = "day",
interval_count = 33L, livemode = TRUE, metadata = structure(list(
user_id = "1655", user_email = "iii@gmail.com",
dog_name = "Nevada"), .Names = c("user_id",
"user_email", "dog_name"), class = "data.frame", row.names = 1L),
nickname = NA, product = "prod_1000",
tiers = NA, tiers_mode = NA, transform_usage = NA,
trial_period_days = NA, usage_type = "licensed"), .Names = c("id",
"object", "active", "aggregate_usage", "amount",
"amount_decimal", "billing_scheme", "created", "currency",
"interval", "interval_count", "livemode", "metadata",
"nickname", "product", "tiers", "tiers_mode", "transform_usage",
"trial_period_days", "usage_type"), class = "data.frame", row.names = 1L),
price = structure(list(id = "plan_1000",
object = "price", active = TRUE, billing_scheme = "per_unit",
created = 1603405572L, currency = "eur", livemode = TRUE,
lookup_key = NA, metadata = structure(list(user_id = "1655",
user_email = "iii@gmail.com", dog_name = "Nevada"), .Names = c("user_id",
"user_email", "dog_name"), class = "data.frame", row.names = 1L),
nickname = NA, product = "prod_1000",
recurring = structure(list(aggregate_usage = NA,
interval = "day", interval_count = 33L, trial_period_days = NA,
usage_type = "licensed"), .Names = c("aggregate_usage",
"interval", "interval_count", "trial_period_days",
"usage_type"), class = "data.frame", row.names = 1L),
tiers_mode = NA, transform_quantity = NA, type = "recurring",
unit_amount = 5850L, unit_amount_decimal = "5850"), .Names = c("id",
"object", "active", "billing_scheme", "created",
"currency", "livemode", "lookup_key", "metadata",
"nickname", "product", "recurring", "tiers_mode",
"transform_quantity", "type", "unit_amount", "unit_amount_decimal"
), class = "data.frame", row.names = 1L), proration = FALSE,
quantity = 1L, subscription = "sub_1000",
subscription_item = "si_1000", tax_amounts = list(
list()), tax_rates = list(list()), type = "subscription"), .Names = c("id",
"object", "amount", "currency", "description", "discount_amounts",
"discountable", "discounts", "livemode", "metadata",
"period", "plan", "price", "proration", "quantity", "subscription",
"subscription_item", "tax_amounts", "tax_rates", "type"
), class = "data.frame", row.names = 1L), structure(list(
id = "il_1001", object = "line_item",
amount = 6300L, currency = "eur", description = "1 Ã\u0097 Food (at â\u0082¬63.00 / every 32 days)",
discount_amounts = list(list()), discountable = TRUE,
discounts = list(list()), livemode = TRUE, metadata = structure(list(), .Names = character(0), row.names = c(NA,
-1L), class = "data.frame"), period = structure(list(
end = 1606161749L, start = 1603396949L), .Names = c("end",
"start"), class = "data.frame", row.names = 1L),
plan = structure(list(id = "plan_1001",
object = "plan", active = TRUE, aggregate_usage = NA,
amount = 6300L, amount_decimal = "6300", billing_scheme = "per_unit",
created = 1600632148L, currency = "eur", interval = "day",
interval_count = 32L, livemode = TRUE, metadata = structure(list(
user_id = "1297", user_email = "jjj@gmail.com",
dog_name = "Jaro"), .Names = c("user_id", "user_email",
"dog_name"), class = "data.frame", row.names = 1L),
nickname = NA, product = "prod_1000",
tiers = NA, tiers_mode = NA, transform_usage = NA,
trial_period_days = NA, usage_type = "licensed"), .Names = c("id",
"object", "active", "aggregate_usage", "amount",
"amount_decimal", "billing_scheme", "created", "currency",
"interval", "interval_count", "livemode", "metadata",
"nickname", "product", "tiers", "tiers_mode", "transform_usage",
"trial_period_days", "usage_type"), class = "data.frame", row.names = 1L),
price = structure(list(id = "plan_1001",
object = "price", active = TRUE, billing_scheme = "per_unit",
created = 1600632148L, currency = "eur", livemode = TRUE,
lookup_key = NA, metadata = structure(list(user_id = "1297",
user_email = "jjj@gmail.com",
dog_name = "Jaro"), .Names = c("user_id", "user_email",
"dog_name"), class = "data.frame", row.names = 1L),
nickname = NA, product = "prod_1000",
recurring = structure(list(aggregate_usage = NA,
interval = "day", interval_count = 32L, trial_period_days = NA,
usage_type = "licensed"), .Names = c("aggregate_usage",
"interval", "interval_count", "trial_period_days",
"usage_type"), class = "data.frame", row.names = 1L),
tiers_mode = NA, transform_quantity = NA, type = "recurring",
unit_amount = 6300L, unit_amount_decimal = "6300"), .Names = c("id",
"object", "active", "billing_scheme", "created",
"currency", "livemode", "lookup_key", "metadata",
"nickname", "product", "recurring", "tiers_mode",
"transform_quantity", "type", "unit_amount", "unit_amount_decimal"
), class = "data.frame", row.names = 1L), proration = FALSE,
quantity = 1L, subscription = "sub_1001",
subscription_item = "si_1001", tax_amounts = list(
list()), tax_rates = list(list()), type = "subscription"), .Names = c("id",
"object", "amount", "currency", "description", "discount_amounts",
"discountable", "discounts", "livemode", "metadata",
"period", "plan", "price", "proration", "quantity", "subscription",
"subscription_item", "tax_amounts", "tax_rates", "type"
), class = "data.frame", row.names = 1L)), has_more = c(FALSE,
FALSE), total_count = c(1L, 1L), url = c("/v1/invoices/in_1000/lines",
"/v1/invoices/in_1001/lines")), .Names = c("object",
"data", "has_more", "total_count", "url"), class = "data.frame", row.names = 1:2)), .Names = c("id",
"customer", "lines"), row.names = 1:2, class = "data.frame")
再次感谢！