How to scrape Kwai User Posts with R

User Posts This tutorial gets it with a short R program and the Kwai User Posts API. Each successful call costs 1 credit; errors and not-found answers are free.

1. Get an API key

Sign in to get a key and 100 free credits, no card. Then put the key in an environment variable so it stays out of your code:

export SCRAPEIO_API_KEY="your_key_here"

2. Set up R

install.packages("httr2")

3. Write the code

Save this as scrape.R.

library(httr2)

params <- list()

call <- function(params) {
  request("https://scrapeio.com/v1/kwai/user/posts") |>
    req_url_query(!!!params) |>
    req_headers("x-api-key" = Sys.getenv("SCRAPEIO_API_KEY")) |>
    req_perform() |>
    resp_body_json()
}

items <- list()
repeat {
  data <- call(params)$data
  items <- c(items, data$items)
  if (!isTRUE(data$has_more) || is.null(data$cursor) || length(items) >= 100) break
  params$cursor <- data$cursor
}
cat(length(items), "items\n")
str(head(items, 3), max.level = 2)

The loop follows data.cursor until data.has_more is false, and stops at 100 items. Each page is one call, so it costs 1 credit.

4. Run it

Rscript scrape.R

The response has the same envelope on every endpoint: success, cached, credits_used, credits_remaining and data. Shared fields such as handle, followers, plays, likes and created_at have the same names on every platform.

Parameters

Errors and what you pay

Same endpoint in other languages

Python · Node.js · JavaScript · TypeScript · Go · Rust · Java · C# · PHP · Ruby · Kotlin · Swift

Prefer no code?

Connect the MCP server to Claude Code, Cursor or Codex and ask in plain English. The agent uses call_endpoint with path /v1/kwai/user/posts for you.

More Kwai tutorials in R

• How to scrape Kwai Post with R
• How to scrape Kwai Profile with R