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apifetch

apifetch is a small, dependency-light toolkit for talking to token-authenticated REST APIs from R. It handles three recurring chores:

1. Token management — store/get/remove/list tokens in process environment variables (never written to disk), namespaced per service.
2. Request building — pluggable authentication and pagination strategies, bundled into a reusable API profile.
3. Data retrieval — fetch one page, or fetch everything in chunks row-bound into a single tibble.

It is the generic engine extracted from the BigDataPE package; BigDataPE is now just one use case (see vignette("bigdatape")). A Python sibling lives at apifetch-py.

Installation

# install.packages("pak")
pak::pak("StrategicProjects/apifetch")

Usage

library(apifetch)

# 1. Describe the API once: where, how to authenticate, how to paginate.
api <- af_api(
  endpoint   = "https://api.example.com/v1/search",
  service    = "Example",
  auth       = af_auth_bearer(),          # "Authorization: Bearer <token>"
  pagination = af_paginate_offset("query")
)

# 2. Store a token (kept only in this session's environment).
af_store_token("reports", "my-secret-token", service = "Example")

# 3. Fetch.
one_page <- af_fetch(api, "reports", limit = 50)
everything <- af_fetch_all(api, "reports", chunk_size = 1000)

Strategies

Authentication: af_auth_bearer(), af_auth_raw(), af_auth_header(), af_auth_query().

Pagination: af_paginate_offset(where = "header" | "query"), af_paginate_none(). ```

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.